In the process of oil exploitation, processing, storage and transportation, the total petroleum hydrocarbon (TPH) released into the soil not only changes the physical and chemical properties of the soil, but also seriously affects the quality of the water environment through the process of migration and transformation. Addressing the environmental issue of petroleum?contaminated soils, the development of efficient, green, and environmentally friendly remediation technologies has become a critical need in the industry. This paper reviews the main remediation technologies for petroleum?contaminated soils based on current domestic and international research. The study showed that physical methods are suitable for remediating soils contaminated with highly volatile and highly permeable petroleum, chemical methods are appropriate for treating severely and recalcitrantly contaminated soils, and biological methods are more environmentally friendly and better suited for treating mildly contaminated soils. By comparing the principles and application ranges of different remediation technologies, it is evident that combined remediation technologies offer strong versatility and widespread applicability. This paper also explores future trends in the development of green and environmentally friendly remediation technologies for petroleum?contaminated soils, aiming to provide a reference for practical applications in soil remediation.

The anode materials play a crucial role in the components of sodium?ion batteries. Petroleum coke serves as an important precursor for the preparation of carbon anode for sodium?ion batteries. In this study, the effects of carbonization temperature and sulfur content on the structure of petroleum coke anode were characterized by XRD and Raman spectroscopy, and the changes of sodium storage properties for different structured anodes were analyzed. The results show that the anode has a balanced defect density and interlayer spacing and excellent conductivity, which exhibits better electrochemical performance at 1 000 ℃. The discharge capacity at a current density of 50 mA/g is 434 mA?h/g. The presence of sulfur inhibits the rearrangement and growth of carbon layer. With the increase of sulfur content of petroleum coke, the anode material exhibits higher sodium storage capacity and better cycle life and rate performance, while the initial coulomb efficiency decreases from 65% to 54%, posing significant challenges for future research.

An improved ant colony algorithm is proposed to address issues such as susceptibility to local optima and slow convergence speed. Firstly, the relationship between the current target node and the next target node and the normal distribution function are introduced into the heuristic function, enhancing the algorithm's search capability in the early stages. In addition, by introducing an inflection point factor, the diversity of directional selection is enhanced. Secondly, an adaptive dynamic pheromone volatility coefficient is proposed to adjust the pheromone evaporation rate adaptively, modifying the pheromone update rules. Finally, simulation experiments were conducted using Matlab to compare the traditional ant colony algorithm and the improved ant colony algorithm on three different grid maps. The experimental results demonstrate that, compared with the traditional ant colony algorithm, the improved algorithm exhibits advantages such as faster convergence speed, shorter paths, and fewer inflection points.

In order to enrich the understanding of the mixing characteristics of various stirring paddles, the effects of rotational speed and immersion depth of six types of stirring paddles such as Paddle Straight Blade Paddle, Paddle Inclined Blade Paddle, Six Straight Blade Turbine Paddle, Six Inclined Blade Turbine Paddle, Straight Blade Rushton Paddle (Disc Straight Blade Turbine Paddle), Inclined Blade Rushton Paddle (Disc Inclined Blade Turbine Paddle ), on the mixing time, power, power quasi?counts, the number of mixing times, the number of mixing efficiencies, have been analyzed in depth. The results showed that the mixing time, power, power quasi number, mixing time number and mixing efficiency number were affected by the rotational speed and submergence depth of six types of stirring paddles. When the rotational speed of the paddle is 150 r/min, the mixing time decreases and then increases with the increase of the submergence depth, in which the power required by the inclined?blade Rushton paddle is the smallest, the mixing rate is the largest, and the mixing efficiency is the highest; when the submergence depth is 25 cm, the mixing time of the six types of paddles decreases with the increase of rotational speed, and the power required by the inclined?blade Rushton paddle is the smallest, the mixing rate is the largest, and the mixing efficiency is the highest; and the mixing time of the six types of paddles is the largest. When the rotational speed and submergence depth are certain, the power required by the Rushton paddle is the smallest and the mixing efficiency is the highest; the integrated mixing performance of the Rushton paddle is the best. The results of the study provide both experimental data for the industrial applications and a theoretical basis for the optimization of the subsequent design of stirring paddles.

As the regulations for the upgrading and transformation of wastewater treatment plants have become increasingly stringent, the process flow of wastewater treatment has gradually lengthened and become more complex. Addressing how to intelligently monitor operational conditions of process equipment and enhance fault management has emerged as a hot research topic due to the significant safety incidents and environmental pollution events that faults in wastewater treatment systems can cause. This paper starts by analyzing the characteristics of wastewater treatment process flows and the main types of faults. It comprehensively reviews the latest achievements and progress in fault detection and diagnosis in wastewater treatment processes both domestically and internationally. It summarizes three types of fault detection and diagnostic methods: model?based, domain experience?based, and data?driven approaches. The paper evaluates the current applications, strengths, and weaknesses of these wastewater treatment process fault detection and intelligent diagnostic methods, identifies existing problems, and anticipates future research directions in the technology of fault detection and intelligent diagnosis for wastewater treatment processes.

Aromatic?based green rubber filler oil is prepared from furfural extraction oil of a petrochemical company by using compound solvents for secondary extraction to separate polycyclic aromatic hydrocarbons present in the oil. Three composite solvents are used for comparison, and the effects of operating conditions, such as extraction temperature and agent?oil mass ratio, on the yield and PCA mass fraction of the refined oil are investigated. A detailed compositional analysis is conducted using the alumina adsorption column method and infrared spectroscopy. The experimental results demonstrate that the optimal operating conditions are primary solvent extraction at 70 ℃ and an agent?oil mass ratio of 5∶1, and secondary solvent extraction at 50 ℃ and an agent?oil mass ratio of 2∶1. The yield of refined oil is 32.34%, the mass fraction of PCA is 2.98%, and the aromatic carbon ratio is 18.65%. These results meet the requirements outlined in EU Directive 2005/69/EC. The results demonstrate that the composite solvent significantly enhances the selectivity and solubility of the solvent, effectively removes PAHs from the oil, and ensures a high product yield and aromatic carbon ratio.

Centrifugal compressors are key equipment in the natural gas pipeline network of the petrochemical industry, and their high failure rate can cause significant economic losses to the affiliated enterprises. This article proposes an ontology based fault diagnosis method for centrifugal compressors. Firstly, this method takes the centrifugal compressor fault analysis reports accumulated by petrochemical enterprises as the knowledge source, extracts fault diagnosis knowledge from the knowledge source through ontology modeling, and promotes the integration, sharing, and reuse of fault diagnosis knowledge. Then, a fault diagnosis knowledge base was constructed using the ontology software Protégé, and rule?based reasoning (RBR) was implemented using the Semantic Web Rule Language (SWRL). The knowledge was stored and queried using the software Neo4j. The effectiveness of this fault diagnosis method has been confirmed through testing the oil system composed of centrifugal compressors. The results show that this method improves the application efficiency of fault knowledge and provides a high?quality knowledge foundation for the diagnosis and decision?making of centrifugal compressors.

Wellbore instability is easy to occur when drilling fractured shale formation. Based on mechanical experiments, this paper investigated the weakening law of mechanical properties of shale soaked in drilling fluid.Considering the influence of stress?pressure?temperature?solute concentration disturbance and natural fractures, a multi?field coupled thermal?hydraulic?mechanical?chemical wellbore stability analysis model of fractured shale formation was established.Based on the characteristics of wellbore instability, the window chart of safe drilling density in fractured shale formation with different rock strength parameters is established. The results show that with the increase of drilling fluid soaking time, the strength parameters and elastic parameters of shale deteriorate exponentially. Considering the non?uniform distribution of physical fields around the well after the development of natural fractures, the stress concentration at the crack tip leads to the collapse and tensile failure zone toward it. Increase of horizontal in?situ stress difference and fluid pressure difference will enlarge the tensile and collapse failure zone, and the increase of solute concentration difference will help reduce the failure risk. Increasing drilling fluid temperature has little effect on collapse failure, but it can significantly reduce the risk of tensile failure. The investigation can provide guiding suggestions for safe drilling design in fractured shale formation.

In order to solve the problems of poor blood compatibility and low adsorption capacity of chitosan (CS) when using graphene oxide (GO) alone, a graphene oxide/chitosan blend membrane (GO/CS membrane) was prepared. Microscopic morphology and composition analysis were conducted using SEM and FTIR, and bilirubin adsorption experiments were carried out on GO/CS membranes. The results showed that when the mass fraction of GO in the casting solution was 3%, the adsorption capacity of GO/CS membrane for bilirubin was optimal. The absorption intensity of C=O belonging to the amide group increases near 1 650 cm^-1, while the stretching vibration peak of -NH₂ at 3 353 cm^-1 and the bending vibration peak of N-H at 1 570 cm^-1 weaken simultaneously. Additionally, there is no stretching vibration peak of carboxyl group C=O near 718 cm^-1, indicating that an amide reaction has occurred between GO and CS molecules, and the GO/CS membrane has been successfully prepared. Under the conditions of a reaction temperature of 37 ℃ and an adsorption time of 120 min, the GO/CS membrane exhibits the best bilirubin adsorption effect, with a saturated adsorption capacity of 77.8 mg/g. Increasing the mass concentration of bilirubin and lowering the pH under alkaline conditions are both beneficial for adsorption. Increasing the ionic strength of the solution or the mass concentration of bovine serum albumin is not conducive to the adsorption of bilirubin.

Risk evaluation is the core work of pipeline integrity management and the prerequisite and foundation for realizing risk prevention management. Zhoushan submarine pipeline has harsh service conditions, difficult monitoring and maintenance, and serious consequences of accidents. In order to ensure the safe operation of the submarine pipeline. Integrating the service conditions and operational characteristics of the Zhoushan section of the Xinao LNG submarine pipeline, this study first identifies risk factors through systematic hazard analysis. Subsequently, the modified Kent methodology is applied to quantify relative risk values. According to the size of the relative risk value, the risky pipeline sections of this LNG pipeline system were graded. The results show that the relative risk value of the Zhoushan section of the submarine pipeline is predominantly within the 100~200 range, and the risk rating is at a low level. Meanwhile, risk management measures and recommendations for Zhoushan submarine pipeline are proposed. These strategies are aimed at promoting the realization of a risk?level?based management mechanism, thus providing scientific guidance and reference bases for the safe operation of submarine pipelines.

Biochar with developed pore structure was prepared by using high?humidity Chinese herbal medicine wastes (CHMWs) as raw material, using the water vapor generated by its own water under a high temperature environment for physical activation，and the effects of moisture content, activation temperature and activation time on the performance of biochar were investigated. The performance of biochar was analyzed by physical adsorption instrument, Fourier transform infrared spectroscopy, scanning electron microscopy and other instruments, and the optimal reaction conditions for biochar preparation were obtained, and the activation mechanism of biochar prepared from CHMWs was discussed. The prepared biochar was used to adsorb wastewater containing Cd²⁺ and Cu²⁺, and the adsorption kinetics were discussed. The experimental results showed that under the conditions of 700 ℃ heating temperature, 60 min heating time and 50% moisture content of the CHMWs, the biochar with a specific surface area of 309.29 m²/g and a pore volume of 0.116 8 cm³/g and was obtained. The experimental results of adsorption showed that the adsorption kinetics on Cu²⁺and Cd²⁺ conformed to the quasi second order kinetic equation, and the optimal adsorption capacities of Cu²⁺ and Cd²⁺ were 20.66 mg/g and 17.41 mg/g respectively.

Metal?organic framework material MIL?53(Fe) was added as a modifier to polyvinylidene fluoride (PVDF) casting solution, and PVDF/MIL?53(Fe) composite membrane was fabricated. The composite membranes were characterized by a series of tests, including XRD, FT?IR, SEM and TG. The composite membrane was used as an adsorbent to adsorb Congo red (CR) from aqueous solution. The effects of composite membrane dosage, initial concentration of CR solution, contact time and temperature were discussed, and the isothermal adsorption models, adsorption kinetics, and adsorption thermodynamics were also studied. The results show that the most appropriate dosage of the composite membrane is 20 mg in each experiment. The maximum theoretical adsorption capacity of CR by the composite membrane is 71.9 mg/g at 313 K. Ethanol has good desorption effect on CR adsorbed onto the composite membrane, and the composite membrane can maintain good adsorption capacity after 5 adsorption?desorption cycles. The isotherm data follows the Langmuir isotherm model and the kinetic adsorption follows the pseudo?second?order model. This adsorption process is spontaneous and endothermic, which is illustrated by the thermodynamic data.

In order to break through the bottleneck of heat transfer efficiency of traditional printed circuit heat exchangers, a physical model of airfoil PCHE was established, numerical simulations were conducted to study the convective heat transfer of supercritical CO₂ in the model, the heat conduction principles of supercritical CO₂ under varying mass flow rates and inlet temperatures have been analyzed, and by changing the hydraulic diameter of the channel, further study the heat quantity transfer situation. The results indicate that the thermal exchange performance can be improved by increasing the mass flow rate and the inlet temperature of the cold fluid. At varied hydraulic diameter of the passage, the heat transfer capacity of PCHEs with chord lengths of 6 mm and 8 mm both increase with the increase of Reynolds number. When the Reynolds number is between 19 500 and 26 000, PCHEs with chord lengths of 6 mm and 8 mm have similar heat transfer performance; when the Reynolds number is between 26 000 and 50 000, the comprehensive performance of PCHE with a chord length of 8 mm is 2.55% higher than that of PCHE with a chord length of 6 mm. The research results provide a theoretical basis for the structural design of airfoil PCHE.

Synchronous method is used to establish an integrated model for batch process production scheduling and control. In the scheduling section, a production scheduling model is established based on the State Equipment Network (SEN) and the unit?specific event?based continuous time modeling method; the integrated model of scheduling and control belongs to a mixed integer dynamic optimization problem, and solving it requires a large amount of complex computation, in order to alleviate the burden of online computing, Explicit Model Predictive Control (EMPC) is utilized for offline solving; the MPT toolbox is used to solve the dynamic problem of EMPC; introducing binary variables, converting the obtained explicit control solution into explicit linear constraints, and adding them to the common constraint objective in the scheduling model; through case analysis, the optimization results were compared and analyzed with the pure scheduling model, and the economic feasibility of the integrated model is verified.

The petrochemical industry is an important pillar industry in China, which is related to the security and stability of the industrial and supply chains, green and low?carbon development, and the improvement of people's well?being. By matching macro?level urban digitalization data with micro?level petrochemical enterprise data from 2012 to 2021, an empirical analysis was conducted to examine the impact of digitalization on the green total factor productivity of petrochemical enterprises. Additionally, the mechanisms through which digitalization enhances the green total factor productivity of petrochemical enterprises were investigated. Research has found that: Digitization has significantly improved the green total factor productivity of petrochemical enterprises; for the eastern region, regions with higher levels of digitalization, and petrochemical enterprises with smaller scale and state?owned property rights, digitalization has a greater impact on improving their green total factor productivity; the mechanism of digitalization to enhance the green total factor productivity of petrochemical enterprises is to enhance regional innovation, promote green innovation of enterprises, and accelerate digital transformation of enterprises. Finally, suggestions are proposed to actively embrace digitalization, formulate differentiated development strategies, and leverage the leading role of state?owned enterprises, aiming to provide reference and guidance for improving green total factor productivity of petrochemical enterprises in China.

Dome top tanks are important facilities for oil storage, and in order to reduce the evaporation loss of storage tanks, it is necessary to conduct research on their evaporation loss mechanism. Establishing a UDF for the absorption of heat flux at different times in a dome roof tank, and using FLUENT 19.0 software to simulate and analyze the effects of solar radiation intensity, oil storage height, and oil storage time on the diffusion of oil and gas inside the tank, the simulation results showed that: the gas temperature distribution inside the tank was uneven, with a vertical distribution of high and low, and the average gas temperature inside the tank decreased with the increase of oil storage height. The mass fraction of oil and gas in the tank is similar at the same oil level height, with the highest mass fraction on the oil surface. The vapor mass fraction is positively correlated with the oil storage height and storage time. The maximum pressure value of the gas inside the tank in a day first increases and then decreases, gradually increasing with the height of the liquid level. This study provides a basis for evaluating the evaporation loss of storage tanks and designing and managing oil and gas recovery systems

A novel adsorption material,KOH?C/CuO, was synthesized through the impregnation method using coconut shell activated carbon as support. The surface physical and chemical properties of the material were characterized by SEM,BET, FTIR,and XPS analysis. Subsequently, a benzene adsorption experiment was conducted to evaluate its performance. The influence of KOH concentration, modification time, CuO load（mass fraction), and adsorption temperature on the benzene adsorption properties was systematically investigated. Furthermore, a comprehensive evaluation of the materials' adsorption properties was carried out. The results indicated that the adsorption performance of 0.5K?C?4/CuO?3 reached its peak when the KOH concentration was 0.5 mol/L, the modification time was 4 h, the CuO load was 3%, and the temperature was maintained at 25 ℃. The adsorption capacity for benzene achieved a remarkable value of 235.3 mg/g, surpassing unmodified material by 118.88 mg/g.

Three types of micro?textures, including broken line grooves, longitudinal grooves and 45° oblique grooves, were constructed on the tool surface and the influence of the tool surface micro?texture on the tool cutting performance during copper?nickel alloy cutting was deeply studied; by controlling a single?variable method, the influence of texture width, texture depth, texture spacing and cutting edge margin on the cutting performance was analyzed, the optimal texture parameter range of the longitudinal groove micro?texture was determined, and the optimal texture parameters were determined through orthogonal experiments. The results show that compared with the non?textured tool, the longitudinal groove micro?textured tool can effectively reduce the main cutting force and cutting temperature; the optimal texture width is 85 μm, the texture spacing is 40 μm, the texture depth is 30 μm, and the cutting edge margin is 40 μm; when the optimal micro?textured tool is used to process copper?nickel alloy, the average main cutting force is reduced by 23.07%, the average value of the maximum cutting temperature is reduced by 22.46%, and the average equivalent stress is reduced by 19.53%, indicating that the residual stress of the workpiece can be effectively reduced and the cutting performance can be improved.

Using molecular dynamics, the lowest energy configurations of n?dodecane, n?octadecane, and n?nonadecane were constructed, and the interactions between oil molecules and wax molecules were studied at different water contents (mass fractions). The molecular dynamics model of crude oil emulsion system based on different mass fraction water content was constructed. The effect of water molecules dissolved in the system on the viscosity of waxy crude oil was studied. The radial distribution functions of wax molecules in different water content systems were compared. The results show that carbon number is the main factor to determine the interaction energy between crude oil molecules. With the increase of water content, the distance between molecules increases, while the interaction energy decreases. After water molecules are dissolved in the system, the distance between wax molecules and electrostatic interaction become larger, the distribution of wax molecules becomes disordered, and the flow characteristics of crude oil are improved.

The spinel?phase Zn₂Ga_2.98-x Ge_0.75O₈:Cr_0.02, La _x (x=0.005,0.010,0.015,0.020,0.025) nanoparticles were synthesized by a hydrothermal method in combination with a subsequent heat treatment. With the La³⁺ doping concentration increasing from 0 to 0.025, the average particle size of these nanoparticls increased from 64 nm to 78 nm. Under 590 nm excitation, La³⁺?doped ZGGO nanoparticles exhibited stronger narrow?band NIR emission peaked at 697 nm, originating from the ²E(²G)→⁴A₂(⁴F) transition of Cr³⁺. From the TEM and emission spectral analyses, it can be found that the increased NIR persistent luminescence is attributed to the increased particle size and the increased number of luminescent centers in a relatively strong crystal field environment. On the basis of thermoluminescence spectra and the afterglow decay curves, it can be found that La³⁺ doping leads to the formation of more traps related to the thermal activation process and the afterglow time exceeding 15 h.

A novel adsorption material of bimetallic Cu and Ni?doped TiO₂?modified carbon nanotubes was prepared by sol?gel methodmethod,and experiments on simultaneous desulfurization and denitrification were carried out.The effects of O₂ volume fraction,H₂O volume fraction and volume airspeed on desulfurization and denitrification were studied,Under the condition of a molar ratio of Cu to Ni of 2.The results showed that the adsorption capacity of MWCNTs/Cu?Ni?TiO₂ was significantly better than that of single?metal modified materials. Under the condition of simulating flue gas, the adsorption effect of the bimetallic modified material was the best when the mass concentration of SO₂ was 3 140 mg/m³, the mass concentration of NO was 736 mg/m³, the volume fraction of water vapor was 5%, the fraction of O₂ was 8%, and the volume space velocity was 2 598 h^-1. The optimal adsorption amount of SO₂ was 20.43 mg/g, and the optimal adsorption amount of NO was 0.86 mg/g.

In the process of oil and gas field production, as well as in the gathering and transportation phases, the water jacket furnace coil serves as a crucial component for natural gas heating, playing a significant role in both heating and energy support. However, the presence of fine grit within the water jacket furnace coils can result in erosion damage that is challenging to predict. Therefore, it is essential to understand the factors influencing the erosion of water jacket furnace coils and to establish an effective predictive model. This study employs computational fluid dynamics (CFD) simulations and sensitivity analyses to investigate the effects of temperature, pressure, gas flow rate, particle diameter, bend diameter, and curvature radius on the erosion of water jacket furnace coils. The results indicate that the gas flow rate, particle diameter, bend diameter, and curvature radius are the primary factors affecting erosion. Consequently, a comprehensive erosion prediction model is developed, providing a scientific basis for equipment maintenance and safety management. The findings of this study offer a vital reference for addressing the erosion issues associated with water jacket furnace coils and hold practical significance in engineering applications.

The optimization process in reservoir history matching belongs to the high?dimensional system's optimal control problem, and the selection of a suitable optimization algorithm is crucial for achieving a good fitting effect. As gradient?based methods face challenges in computing the gradient of the objective function, intelligent optimization algorithms with stochastic properties are widely applied in reservoir optimization processes. A method for reservoir history matching based on real?number coding genetic algorithm RGA and connectivity model was proposed. This method eliminates the need for encoding and decoding operations by directly using feasible solutions obtained from traditional solving methods as initial parameters for the improved genetic algorithm, thereby reducing the complexity of the search space. In RGA, real?number coding is employed to represent parameters, enabling the algorithm to handle continuous variables directly, thus enhancing search accuracy and convergence speed. A adaptive selection strategies, crossover, and mutation operations are introduced in this paper to further enhance the algorithm's performance. Application of RGA to the history matching problem in a mechanistic model demonstrates that RGA can effectively improve fitting results and find relatively optimal solutions in a short time. Therefore, this method has significant potential for widespread application in reservoir history matching problems.

Infrared upconversion detectors are devices comprising an infrared photodetector (PD) and a visible light?emitting diode (LED) stacked in series, which directly convert invisible infrared signals into visible emission and enable imaging with CCD or CMOS cameras. Compared with conventional electrical readout schemes, the upconversion approach eliminates readout circuits and complex algorithms, offering simplified fabrication and reduced cost. Colloidal quantum dots (CQDs), with solution processability, tunable bandgaps, and compatibility with diverse substrates, provide a key materials platform for constructing low?cost, large?area upconversion devices that operate at room temperature. This review briefly outlines the operating mechanisms of upconversion devices, defines the key performance metrics of CQD?based upconversion detectors, and systematically surveys recent representative advances in two areas: luminescent?material engineering and device/interface engineering. Finally, we summarize the current status and challenges and propose several research directions.

The current frequent occurrence of cyberspace security incidents has resulted in huge losses to national security and the real economy, demonstrating that the information security threats confronting nations have transcended the traditional concept of invasion warfare. Therefore, network security vulnerability scanner is an important means to prevent network attacks. Vulnerability scanners currently on the market are usually designed using brute?force scanning, which has problems such as limited detection dimension, slow speed and low accuracy. This paper proposes a distributed multi?dimensional assessment and detection model using Docker technology for multi?node deployment and simultaneous information collection. It divides information into multiple dimensions and quantifies them. The model introduces a fuzzy hierarchical evaluation method to assess the vulnerability values of target systems, and enhances the attention to corresponding systems based on their vulnerability levels. It combines fingerprinting technology with vulnerability detection methods. Tests conducted using a scenario?based Combat Network Shooting Range (CFS) show a significant improvement in detection efficiency compared to commonly used enterprise?level network scanners, outperforming traditional one?dimensional vulnerability detection methods in terms of hit rate and efficiency.

A new type of combined cooling, heating and power (CCHP) system is proposed, consisting of a dual recompression Brayton cycle, a CO₂ reheat Rankine cycle and a two?stage flash cycle, to achieve synergistic waste heat recovery from a natural gas?fueled solid oxide fuel cell, utilization of liquefied natural gas (LNG) cold energy, and capture of CO? from flue gas. The cycle system was simulated using thermodynamic simulation software to analyze the effects of the mass fraction of mixed workmass Xe, the inlet pressure p₂₃ of the CO₂ reheat Rankine cycle expander, the pump outlet pressure p₂₆ of the flash cycle, and the shunt ratio x on the system's thermal efficiency, saprophytic efficiency, net work output, and cold water recovery rate. The results demonstrate that increasing p₂₃ is favorable to improve the net output work, thermal efficiency and hydronic efficiency of the system; decreasing p₂₆ is favorable to improve the net output work and thermal efficiency of the system, and increasing the Xe mass fraction and shunt ratio can improve the net circulating work, thermal efficiency and hydronic efficiency of the system. When the mass fraction of Xe is 0.3, p₂₃ is 16 MPa and p₂₆ is 13.5 MPa, the thermal efficiency, the net efficiency and the net output work of the system are 67.17%, 58.13% and 2 587.96 kW, respectively.

Based on the coupling method of the Navier?Stokes equation and phase field theory, the pore scale numerical model for fractured mixed?wet tight reservoir is established to investigate the oil recovery process under different injection velocities, injection modes, and injection?shutdown durations. The findings indicate that the injection velocity has a nonlinear correlation with the oil recovery, with an optimal velocity of 0.01 m/s, where the dynamic equilibrium between capillary force and viscous force achieves the highest fracture?matrix pressure transfer efficiency, leading to a peak recovery degree. The periodic intermittent water injection demonstrates a 48% reduction in water usage compared to constant rate injection, with a slight 1.08% reduction in recovery, making it more economical under low oil prices. The short?cycle high?frequency water injection with low injection?shutdown durations can generate periodic pressure fluctuations, reducing cumulative water injection by 80%, while achieves comparable recovery performance to long?cycle injection.This study investigates the influence law of injection parameters on the synergistic enhancement mechanism of imbibitiondisplacement during water flooding in tight oil reservoirs with mixed wettability, providing a theoretical basis for optimizing injection strategies.

Ruthenium complexes exhibit considerable potential for application in devices owing to their high photoluminescence quantum yields and tunable emission wavelengths.Nevertheless,traditional solution?processing methods often lead to disordered molecular aggregation,which detrimentally affects both luminescence efficiency and material stability.Conventional vacuum deposition methods involve complicated procedures and high production costs,which hinder the practical utilization and broader adoption of these materials and devices.To address these challenges,this work presents a novel approach for fabricating tris(bipyridine)ruthenium(Ⅱ) complex microcrystalline films.By employing a mixed?solvent approach,the ruthenium complex is guided to self?assemble on the surface of conductive glass,leading to the formation of microcrystalline architectures.Utilizing gallium?indium (Ga?In) alloy as the counter electrode,a simple device capable of high?intensity visible emission was successfully fabricated. Furthermore, patterned electrodes were prepared using molds and liquid metal.Combining these electrodes with the ruthenium complex microcrystalline films enabled the fabrication of devices capable of emitting patterned light.This study offers a promising pathway for the low?cost and large?area manufacturing of ruthenium?based light?emitting devices.

CdS exhibits excellent photochemical properties and high quantum efficiency in the visible light region, however, its catalytic stability is significantly compromised by photocorrosion. Constructing CdS/Mg?CdIn₂S₄ heterojunctions can effectively suppress photocorrosion and enhance the material's overall stability. In this study, CdS nanowires (CdS NWs), CdS nanoparticles (CdS NPs), and Mg?CdIn₂S₄ nanosheets (NSs) were prepared using the ion exchange method, and heterojunctions of 5% CdS NWs/Mg?CdIn?S? (5% by mass fraction of CdS NWs) and 5% CdS NPs/Mg?CdIn?S? (5% by mass fraction of CdS NPs) were constructed. The photocatalysts were characterized using X?ray diffraction (XRD), UV?vis diffuse reflectance spectroscopy (DRS), Fourier?transform infrared (FT?IR) spectroscopy, N₂ adsorption?desorption isothermal analysis, transient photocurrent measurements, and electrochemical impedance spectroscopy. The results confirmed the successful construction of both CdS NWs/Mg?CdIn₂S₄ and CdS NPs/Mg?CdIn₂S₄ heterojunctions. The catalytic performance was evaluated in a photoreaction system, both heterojunctions possess significant capabilities for the photocatalytic reduction of CO₂. Notably, the CdS NWs/Mg?CdIn₂S₄ heterojunction exhibited superior photocatalytic performance, achieving CO and H₂ production rates of 716.7 μmol/（g·h) and 664.3 μmol/（g·h), respectively. These values represent a 46.2?fold and 56.8?fold enhancement compared to pristine Mg?CdIn?S?.Consequently, this work provides a solid foundation for further research and practical applications in the field of photocatalytic CO₂ reduction, underscoring significant academic and practical significance.

Reducing the urban?rural income gap is an important part of China's steady promotion of common prosperity, and this paper studies the intrinsic connection between the level of digital economy development and the urban?rural income gap based on the panel data of 30 provincial?level administrative regions in China from 2013 to 2021. The results of the study show that digital economy is conducive to narrowing the urban?rural income gap, and the rationalization of industrial structure exerts a partial mediating effect; in regions with higher levels of human capital, the development of digital economy can effectively alleviate the urban?rural income gap, and the rationalization of industrial structure plays a complete mediating effect, however, in regions with lower levels of human capital, the digital economy does not have a significant impact; when the level of economic development is low, the digital economy will expand the urban?rural income gap, while when the level of economic development is high, the digital economy will narrow the urban?rural income gap. Based on this, suggestions have been put forward to promote the coordinated development of industrial digitization and digital industrialization, further promoting the rationalization of industrial structure, enhancing the level of human capital, and optimizing the environment for the development of digital economy, in order to maximize the effectiveness of the digital economy in promoting the optimization of industrial structure and narrowing the income gap between urban and rural areas.

Industrial wastewater treatment has emerged as a significant global challenge. Although physical adsorption offers advantages such as effective contaminant removal and operational simplicity, it often entails high consumption of adsorbent materials and elevated costs. Because of its superparamagnetic, small particle size, large specific surface area and easy recovery characteristics, Fe₃O₄ shows broad potential in the field of adsorption, but its application alone still has some limitations. This paper aims to review the preparation and application of magnetic composites based on Fe₃O₄ as a green and efficient adsorbent in wastewater treatment, in order to deal with the current problems of high cost and difficult recovery of adsorption materials. The main synthesis methods for magnetic activated carbon, magnetic cyclodextrin, and magnetic cellulose composites were introduced, followed by an overview of their use in the adsorption of heavy metals and organic pollutants. Additionally, an analysis was conducted on the advancements in the application of magnetic separation and regeneration technologies. The results indicate that Fe₃O₄ composite material has good performance in adsorption efficiency, environmental protection and cost control. Fe₃O₄ composites have shown unique advantages as potential adsorbents. It is suggested that Fe₃O₄ composite adsorption materials with low cost and high adsorption capacity should be further developed to promote its transformation from laboratory to engineering application.

RVR and FCCS were employed as raw materials, modified with ET, high?quality coated asphalt products were obtained through optimization of the preparation process. The raw materials and products were characterized using FT?IR, XRD and TG/DTG. Combined with the information from 1H?NMR, elemental analysis, and molecular weight determination, the reaction mechanism was proposed. The results show that the difficulty of blending and modifying the raw materials is significantly related to the content of asphaltenes and aromatics, higher proportions of asphaltenes and aromatics facilitate the modification process. From the perspective of the reaction mechanism, the ⁺CH?CH {}_{\mathrm{2}}^{+} generated by the dehydration of ethylene glycol under acidic conditions plays a bridging role, enabling RVR, FCCS, and ET to form coated asphalts E?FCCS and E?RVR with condensed aromatic structures through polycondensation reactions. A higher content of aliphatic chain alkyl structures in the modified feedstock oil leads to stronger reaction activity. During the catalytic cross?linking polymerization process, these structures are prone to cleavage to form small molecules. These small molecules hinder the polycondensation reaction between polycyclic aromatic hydrocarbons, inhibit the increase in aromaticity of the system, and thereby interfere with the growth of graphite crystal structures, which is unfavorable for the formation of ideal graphite crystals with condensed aromatic hydrocarbons as basic units. The characterization and analysis results of the coated asphalts E?FCCS and E?RVR support this conclusion. By clarifying the intrinsic relationships between raw material structure, reaction mechanism, and product properties, this study provides theoretical and technical foundations for the preparation of coated asphalt via blending modification and catalytic polymerization of heavy oil.

Electrospinning can regulate fiber and membrane structures at the nanoscale, and doping graphene futher enhances the electrochemical function of nanofilms. Starting from the structure of graphene, we optimize the relationship between graphene doping ratio and nanofiber size and study the effects of electrospinning voltage, feed rate, spinning distance and time on membrane structure and electrochemical performance. Research has shown that when the graphene doping mass fraction in the nanofilm is 7%, the voltage is 24 kV, the spinning distance is 15 cm, the feed rate is 0.01 mL/min, and the time is 2 h, the diameter of the fibers in the nanofilm structure is 0.162 μm, and the impedance is 220.8 Ω. Under electrospinning conditions, the doping of graphene can control the preparation of nano films and optimize their electrochemical properties in multiple ways.

Hydrogen permeation is a pivotal factor inducing hydrogen embrittlement (HE) in pipeline steels. Alloying presents an effective strategy for enhancing both the mechanical properties and HE resistance of these steels. In this review, the atomistic regulating mechanisms of alloying elements on critical steps of hydrogen permeation in pipeline steels are systematically summarized. The hydrogen permeation is considered to involve four critical steps: the adsorption and dissociation of hydrogen molecules, the adsorption and permeation of hydrogen atoms on the surface, the dissolution and migration in the bulk phase, and the segregation behavior at defects.The results show that single alloying element doping can effectively inhibit hydrogen permeation by inducing local lattice distortion, changing charge distribution, regulating bonding characteristics or increasing energy barriers. Furthermore, multi?elements synergic-doping and multi-principal element alloy systems exhibit more complex regulation mechanisms,and the synergistic effect of different elements can further enhance the inhibitory effect on hydrogen permeation. Future research can focus on the effect of multi-elements synergic-doping, the optimization and design of high-entropy alloys, hydrogen trapping under environments with complex defect structures and the development of multi-scale simulation methods, aiming to provide theoretical guidance and design strategies for advanced materials resistant to hydrogen embrittlement.

The quaternary ammonium group (QA) commonly used in conventional anion exchange membranes (AEMs) has a low dissociation constant with OH^-, resulting in poor conductivity. The crown ether group can significantly enhance the ion exchange capacity (IEC) and OH^- conduction efficiency of AEMs due to its ability to form positively charged complexes with alkali metal cations. Meanwhile, the ether bond in the crown ether ring exhibits good alkali and chemical stability. In view of the above advantages, a series of AEMs grafted with bi?crown ethers were successfully prepared by grafting dibenzo?18?crown?6?ether?modified polyvinyl alcohol (PVA) via metastable acid. The results showed that the bi?crown ether anion?exchange membranes exhibited higher OH^-selectivity and chemical stability compared with the mono?crown ether membrane materials; the prepared AEMs exhibited good OH^- selectivity and chemical stability in terms of electrical conductivity (conductivity of 165.5 mS/cm at 80 ℃), mechanical properties (tensile strength of 47 MPa at room temperature), and alkali stability (only 4.52% decrease in conductivity after immersion in KOH at a concentration of 6 mol/L for 168 h), and the high efficiency electrolysis of water to produce hydrogen based on platinum charcoal as the anode material, and the efficiency of electrolytic reduction reached 80%.

With Methyl acetoacetate (MAA) and Neopentyl glycol diacrylate (NPGDA) as raw materials, a linear polymer, Poly (Methyl acetoacetate?Neopentyl glycol diacrylate) (P(MAA?NPGDA)),was prepared via a base?catalyzed Michael addition reaction to extend the molecular chain. The synthesized samples were characterized and analyzed by Fourier transform infrared spectroscopy (FTIR),proton nuclear magnetic resonance spectroscopy （¹H NMR）,differential scanning calorimetry（DSC）,high?performance liquid chromatography （HPLC） and gel permeation chromatography（GPC）. The effects of different catalysts on the relative molecular weight growth, heat release rate, and double bond conversion rate of monomers during the reaction were investigated at various temperatures. Furthermore, by using 1,8?Diazabicyclo[5.4.0]undec?7?ene (DBU) as the catalyst, the impacts of varying reaction temperatures, catalyst concentrations, and the ratio of n(MAA) to n(NPGDA) on the molecular weight growth of linear polymers were examined. Under the tested conditions, in a reaction temperature range of 30-40 ℃ with a DBU mass fraction of 2%, and a MAA?to?NPGDA monomer ratio of 1.00∶1.00, the growth rate of P(MAA?NPGDA) molecular weight was relatively stable, and the polymer ultimately reaches a relatively high relative molecular weight.

The water film formed within the pores of tight reservoirs leads to a distinct "oil?core water?film" configuration in the distribution of oil and water within the porous medium, which has a significant impact on the flow channels and capillary forces of infiltration and absorption. To address these phenomena, high?pressure mercury injection and core imbibition experiments were conducted to study the microscopic distribution characteristics of oil?water and the underlying mechanisms of capillary forces. A capillary force calculation model considering water film thickness was established to elucidate the influence of water content distribution on capillary force. The results indicate that as the oil phase pressure increases, the water film on the pore wall gradually becomes thinner until it stabilizes. Under the same pressure, the smaller the pore size, the larger the proportion of water film to the pore size. When the capillary radius is less than 30 nm, the smaller the radius, the greater the influence of water film on capillary force; when the capillary radius is greater than 30 nm and the water saturation is greater than 0.60, the capillary force calculated with and without considering the water film is basically equal, and the influence of the water film on the water saturation and capillary pressure is relatively small. When the water saturation is less than 0.60, there is a significant difference in capillary force between the two conditions. Higher water saturation corresponds to a smaller deviation in capillary pressure. Furthermore, lower capillary forces are associated with reduced imbibition capacity and permeability of the rock core.

To enhance the flowability of waxy crude oil, seven paraffin?degrading strains were screened using paraffin as the sole carbon source. Their paraffin removal efficiency, emulsification capability, and hydrophobicity were evaluated to identify high?efficiency degraders. Strains with optimal growth characteristics were selected based on growth curves, and microbial consortia were constructed through optimized combinations. Cultivation conditions were further refined using single?factor experiments and response surface methodology (RSM). The orthogonal experimental results indicate that when constructing the compound microbial consortium with Broussonetia papyrifera, the inoculation amounts (volume fractions) of strains H1, H3, and H4 should be 1.0%, 2.0%, and 0.5% respectively, respectively, the paraffin removal rate of the consortium reached 58.7%. The optimized cultivation conditions were determined as follows: temperature at 41.8 ℃, inoculation volume at 3.0%, and shaking speed at 181

r/min. The influence of factors on paraffin removal followed the order: cultivation temperature > inoculation volume > shaking speed. After optimization, the paraffin removal rate of the consortium increased to 62.1%. When the microbial consortium was applied to treat waxy crude oil, the viscosity reduction rate reached 51.5%, significantly improving the fluidity of the crude oil and thereby enhancing pipeline transportation efficiency.

Due to the ability of cocatalysts to form heterojunctions on the surface in contact with g?C₃N₄, promoting the migration of photo generated electrons and enhancing the photocatalytic performance of g?C₃N₄, the introduction of cocatalysts plays a significant role in improving the photocatalytic activity of g?C₃N₄. Common co?catalysts can be broadly categorized into three groups: transition metal?based cocatalysts (non?precious?metal co?catalysts), precious metal based co?catalysts, and non?metal cocatalysts. Among them, transition metal?based cocatalysts have attracted widespread attention due to their low cost and strong ability to capture electrons. This article focuses on the composite methods, mechanisms of action, and their effects on the photocatalytic performance of various transition metal based cocatalysts (such as metal oxides, sulfides, phosphides, etc.) with g?C₃N₄, aiming to provide comprehensive theoretical and practical guidance for the design and development of efficient g?C₃N₄ based photocatalysts.

The heterogeneity of the Tahe fractured?vuggy reservoir is strong, and the fluid flow state is complex. The flow and waterflooding mechanisms of high?asphaltene heavy oil remain poorly understood, posing significant challenges to the effective implementation of water injection strategies. Based on a visualization model of fractured?vuggy reservoirs, experimental investigations were carried out on the flow and displacement behavior of heavy oil with different viscosities. The relationship between the flow resistance coefficient of asphaltene containing heavy oil and the viscosity and flow rate was established, and dynamic quantification of oil saturation in different vuggys was achieved through image recognition. The characteristics of waterflooding of high asphaltene heavy oil in fractured?vuggy reservoirs and the influence mechanisms of heavy oil viscosity, fractures, and water injection rate were clarified. The results indicate that the viscosity of heavy oil increased from 59 mPa ? s (medium viscosity) to 1 090 mPa ? s (extra viscosity), the apparent threshold pressure gradient of heavy oil in the fracture cavity increased by one order of magnitude, the flow resistance coefficient increased by three times, and the waterflooding recovery rate decreased by 9.6 percentage points. Increased heavy oil viscosity also reduced the number of vugs affected by waterflooding, thereby increasing the remaining oil volume in attic configurations, localized high points, and along cavity walls. The scale, length, and spatial distribution of crack width have a greater impact on the flow direction of waterflooding heavy oil, and are stronger than the gravity differentiation of oil and water. Appropriately increasing the water injection rate enhances the ability of water flooding to spread and break through small?scale fractures.

To improve the mechanical properties and corrosion resistance of zinc coatings, zinc graphene oxide (Zn-GO) composite coatings were prepared by direct current electrodeposition method. The microstructure, mechanical properties, and corrosion resistance of Zn-GO composite coatings were systematically studied using scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), X-ray diffraction (XRD), uniaxial tensile testing (SSRT), and electrochemical testing, and compared with traditional pure zinc coatings. The results showed that the addition of graphene oxide significantly optimized the crystal structure of the coating, increasing the tensile strength of the coating by about 6.3% and the yield strength by about 3.2%. The corrosion current density of Zn-GO composite coating was reduced by 80% compared to pure zinc coating, demonstrating excellent corrosion resistance. Zn?GO composite coating has a long corrosion resistance life. Zn-GO composite coating has high potential for application in marine anti-corrosion.

The regulation of metal cations in zeolites via ion exchange to enhance CO₂ adsorption performance holds significant potential for the efficient industrial capture of CO₂. To investigate the correlation between metal cation exchange time and CO₂ adsorption performance of zeolites, four adsorbent samples (e.g. Ca?LTA?30) were prepared with exchange time as the independent variable. The textural properties, thermal stability, CO₂ temperature?programmed desorption (CO₂?TPD), and CO₂ adsorption performance of these samples were characterized. Furthermore, the IAST (Ideal Adsorbed Solution Theory) selectivity of these samples for CO₂/N₂ gas mixtures with different volume ratios (20∶80, 50∶50, 80∶20) was compared. The results indicate that the CO₂ adsorption performance of LTA can be increased from 5.02 mmol/g to 6.05 mmol/g, while the S_CO {}_{{}_{}^{}} _/N {}_{{}_{}^{}} can be improved from 59.7 to 118.5. In addition, through comparing the fitting performance of four adsorption models on the adsorption isotherms of CO₂ and N₂ on LTA and Ca?LTA series samples, it is found that the Langmuir?Freundlich model exhibits the best consistency with the experimental data and can effectively evaluate the CO₂ adsorption behavior of the Ca?LTA series samples.

ZnCu?BDC, a new MOFs material, was successfully synthesized by solvothermal method, with copper acetate and zinc nitrate as the metal centers and terephthalic acid (BDC) as the organic ligand. The structure, morphology, specific surface area and thermal stability of the materials were systematically characterized by scanning electron microscopy, X?ray polycrystalline powder diffraction, Fourier transform infrared spectroscopy, nitrogen adsorption and thermogravimetric?differential thermal analyzer. The catalytic performance of ZnCu?BDC in naphthalene?containing simulated oil was investigated by using naphthalene as the aromatic hydrocarbon model compound in simulated oil. The results show that the ZnCu?BDC material has the same particle size, smooth surface, good thermal stability, complete decomposition at 450 ℃, a large number of micropores, and a nitrogen adsorption?desorption curve with the characteristics of H3 curve. Under the optimal conditions obtained after the investigation (n(Cu)/n(Zn) is 1.0∶2.0, reaction time 6 h, reaction temperature 70 ℃, pH=5), the removal efficiency of ZnCu?BDC material for aromatic hydrocarbon model compounds in simulated oil can reach 91%.

The effect of elastic and plastic strain on corrosion behavior of X90 pipeline steel in a simulated marine alternating dry/wet environment was investigated by means of slow strain rate tensile test, in?situ electrochemical measurement, scanning electron microscope (SEM) observation and X-ray Diffraction (XRD) test. The results indicate that in the elastic strain regime, the corrosion susceptibility of X90 pipeline steel increases with the enhancement of elastic strain, but the effect is not pronounced. In the plastic strain regime, the corrosion susceptibility of X90 pipeline steel increases significantly with the enhancement of plastic strain. The most severe surface corrosion of X90 pipeline steel occurs at a plastic strain level of 5.5%. It is attributed to the mechano-electrochemical effect of X90 pipeline steel under external stress. The corrosion mechanism is anode dissolution dominated and hydrogen evolution assisted. The result of corrosion product analysis show that strain has no significant effect on the type of corrosion products.

Metal diaphragms serve as key functional materials widely used in aerospace, microelectronics, chemical engineering, and other fields. As the core sensitive element in diaphragm pressure?reducing valves, their mechanical properties directly determine the valve's pressure regulating precision, stability, and service life. This paper systematically investigates the influence of key geometric parameters of the diaphragm and material properties on its mechanical performance under typical operating conditions. A mathematical model was established to analyze force distribution at the equilibrium position, where loads and constraints were applied, followed by the application of loads and constraints were applied, and the relationship between load and deflection was verified using the large deflection theory of corrugated diaphragms. A precise 3D parametric model of the diaphragm was built using SolidWorks software. The study employed the Finite Element Analysis (FEA) method, utilizing ANSYS software to conduct static structural simulation analysis on the diaphragm's geometric structure, parameters (width, height, thickness), and material properties. The results show that: the geometric structure of large arc corrugations is superior to sinusoidal corrugations; increasing the width of the outer corrugations increases the deformation, stress, and strain of the diaphragm, thus enhancing its sensitivity; increasing the corrugation height causes the diaphragm's elastic characteristics to first decrease and then increase; smaller diaphragm thickness results in better elastic characteristics; the elastic modulus of the diaphragm material is the dominant factor affecting its stiffness and deformation response?higher elastic modulus reduces deformation but increases stress, while materials with lower elastic modulus exhibit the opposite effect. Material selection requires balancing sensitivity, strength, and service life requirements. This research reveals the influence of the diaphragm's geometric structure, parameters, and material properties on its mechanical performance, providing an important theoretical basis and design guidance for the structural optimization design and high?performance material selection of diaphragms in diaphragm pressure?reducing valves.

In transformer fault diagnosis accuracy, addressing the limitations of traditional neural networks such as insufficient interpretability and weak temporal feature extraction capabilities, this study proposes a novel diagnostic model,LKAN which integrates Long Short?Term Memory (LSTM) with Kolmogorov?Arnold Network (KAN). The model first employs LSTM to model time?series data from transformer operations, extracting hidden states as temporal features. These features are then fed into the KAN layer, where B?spline functions enable nonlinear mapping and function decomposition, thereby enhancing both the model's expressiveness and interpretability. Experimental results on real?world power transformer datasets demonstrate that the LKAN model achieves a diagnostic accuracy of 98.80%, outperforming LSTM, Convolutional Neural Network（CNN）, Gated Recurrent Unit（GRU）, and single KAN models.Meanwhile, it exhibits strong generalization ability and stability. The LKAN model effectively integrates the temporal modeling capability of LSTM and the interpretability advantage of KAN. It provides a technical path with high accuracy and strong interpretability for intelligent fault diagnosis of transformers, and has good engineering promotion value.

This study investigates the microscopic properties of water?in?oil (W/O) emulsions, focusing on their stability and the formation patterns of liquid holdup. Through emulsification experiments and microscopic observation, the effects of water content, shear rate, and carbon dioxide (CO₂) treatment on emulsion droplet size distribution and stability were systematically studied. Based on experimental data, a liquid holdup rate model was developed for the MH oil sample. The results indicate that the shear rate significantly affects the droplet size distribution and emulsion stability. A moderate shear rate (6 000~9 600 s^-1) promotes emulsion stability and yields a uniform droplet distribution. When water content is below 30%, increasing the water content reduces the droplet size; however, high water content can show phase separation. CO₂ saturation treatment can reduce interfacial tension and improve emulsion stability, but excessive CO₂ release may destabilize the oil?water interface and promote droplet coalescence. Rational control of shear rate, water content, and CO₂ concentration can effectively optimize pipeline transportation performance, reduce bottom liquid accumulation, and enhance the operational stability of the oilfield gathering and transportation system. This study provides theoretical support for the control of liquid holdup in CO₂?driven gathering pipelines and holds significant engineering application value for oilfield production management.

This paper proposes a distributed coordinated optimization method for multi?microgrid systems based on the Alternating Direction Method of Multipliers (ADMM). The proposed model comprehensively accounts for generation costs, energy storage operation, and inter?microgrid interactions, while employing second?order cone relaxation techniques to address nonlinear power flow constraints. By optimizing the ADMM iteration process and parameter selection, the method significantly improves computational efficiency while protecting data privacy through its distributed architecture. Case studies demonstrate that the method converges within only five iterations, achieves a 76.7% improvement in computational efficiency compared with centralized optimization, and maintains a solution accuracy within a 0.34% deviation from the global optimum. Compared to linear programming methods, the ADMM enhances voltage regulation performance by 40.0% and reduces line losses by 15.5%. The method exhibits excellent scalability with computational complexity increasing linearly with the number of microgrids, is applicable to various network topologies, and requires sharing only boundary interaction information, thus providing effective technical support for multi?microgrid coordination optimization.

Aiming to achieve noise isolation and vibration damping in engineering applications with simple and aesthetic structures, this paper designs a novel four?oscillator chiral phononic crystal.By incorporating helical scatterer branches as oscillators, the design breaks the inherent symmetry of conventional phononic crystals.Finite element simulation is first used to analyze the bandgap of the unit cell, followed by validation of the infinite periodic bandgap range through finite periodic arrangement. Further investigation into the effects of scatterer material parameters and the number of oscillators on the bandgap characteristics was conducted through parametric analysis. The results indicate that the chiral phononic crystal structure exhibits a total band gap widths of up to 642.12 Hz below 1 000 Hz, demonstrating excellent performance in low frequency noise isolation.

To address the challenges of slow convergence, susceptibility to local optima and path redundancy in the path planning of concrete pouring robots in complex construction environments, an improved ant colony algorithm?based path planning optimization method for concrete robots is proposed. First, a new pheromone update mechanism is formulated and the hindsight experience replay (HER) algorithm is applied to define pseudo?target points, thereby addressing the slow convergence and local optimum entrapment issues of conventional ant colony algorithm (ACO). Second, a new obstacle heuristic factor is designed to improve the obstacle avoidance ability of the traditional ant colony algorithm.Third, to solve the limitation of path redundancy in the traditional ant colony algorithm, a curve smoothing function is introduced to eliminate redundant nodes and improve the path quality. Simulation experiments show that the algorithm proposed in this paper has good effectiveness and stability in terms of the shortest path length, the number of turning points and iteration efficiency.