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Journal of Liaoning Petrochemical University
Current Issue
2018, Vol.38 No.02  Publication date:26 April 2018
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  • Hydrothermal Cracking Reaction Mechanism of the Residue under the Effect of Ultrasonic Wave
  • Wang Chong, Zhao Dezhi, Song Guanlong, Li Ying, Yang Zhanxu, Zhao Yun, Zhang Wenjun
  • 2018, 38 (02): 9-12. DOI:10.3969/j.issn.1672-6952.2018.02.002
  • Abstract ( ) PDF ( 1853KB ) ( )   
  • Using a high-temperature and high-pressure ultrasonic reactor, the hydrothermal cracking reaction of vacuum residue of Huizhou Refinery. The gas product composition, liquid product composition, reaction coke SEM morphology, and element analysis were investigated to discuss the mechanism of hydrothermal cracking reaction under the effect of ultrasonic wave. The results show that there is no significant difference in the yield of gas products in hydrothermal cracking reaction mechanism of the residue under the effect of ultrasonic wave and the production rate of light oil has been increased slightly while that of coke has been slightly reduced. The angularity of the coke particles is relatively smooth and the pore structure appears, indicating that under the effect of ultrasonic wave, the hydrothermal cracking reaction of residual oil is mainly based on the radical thermal reaction mechanism and the cavatition of ultrasonic wave can promote the residuum to have cracking reaction so that the production rate of light oil has been slightly increased. The mechanical effect of ultrasonic wave causes the raw coke precursor suspended in the residue to oscillate violently, so as to prevent its polymerization, thus having reduced coking, the large increase of Ni in the coke indicates that the catalyst provides a coking center for coking.
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  • Numerical Simulation on Leakage of Buried Gas Pipeline Based under Multi Building Condition
  • Zhang He, Ma Guiyang
  • 2018, 38 (02): 33-39. DOI:10.3969/j.issn.1672-6952.2018.02.008
  • Abstract ( ) PDF ( 5949KB ) ( )   
  • Aiming at the process on leakage of buried gas pipeline in urban area, and considering gas of different constituents and concentration leakage based under multi building condition, using computational fluid dynamics (CFD) software to establish the three-dimensional physical model of buried pipeline in the leakage process, the environmental wind field and leakage rate into the boundary conditions in the form of user-defined functions were introduced, and the simulation process was divided into steady-state simulation in environmental wind field and transient simulation in leakage. And the leakage process was divided into continuous leakage and leakage after pipe valve closing, and the gas leakage rules were analyzed. The results showed that: It was necessary to simulate the steady state in environmental wind field. There existed three low velocity zones near the flow field and a large velocity gradient on the edge of the building. It showed the following characteristics that the confined leakage of oil layer diffusion, low velocity zone upstream gathering, gas cloud rising, hydrogen sulfide deposition and diffusion and so on in the gas continuous leakage stage. It showed the characteristics of the gas diffusion continuity and dissipation from top to bottom in the valve closed stage. Based on the conditions above, comparing methane, hydrogen sulfide had larger diffusion range, later dissipation time, and greater risk.
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  • Application of River Prediction Based on Gray Relational and  Support Vector Machine in N Area of S Oilfield
  • Li Yang
  • 2018, 38 (02): 40-46. DOI:10.3969/j.issn.1672-6952.2018.02.009
  • Abstract ( ) PDF ( 10978KB ) ( )   
  • It is difficult to predict the accuracy of the river by using the conventional seismic attributes, due to the complex conditions of the terrigenous clastic basin reservoirs and the rapid change of the rock facies. In this paper, XII7-12 layer in N area of S oilfield is taken as an example. Through the seismic forward analysis, the seismic section reflection characteristics of different types of reservoirs are different, and the seismic attributes of the combined layer can be used as the effective dimension for the main channel prediction in this area. On this basis, using the method of the combination of Gray Relational Analysis and Support Vector Machine, the N zone seismic attribute prediction based on Gray Relational Support Vector Machine is completed. Drilling confirmed that based on Gray Correlation and Support Vector Machine attribute prediction, the drilling coincidence rate is higher. By using the advantage of seismic inversion to predict the boundary of the channel sand, the comprehensive analysis of dynamic and static data of the polymer flooding well group effectively solved the contradiction between the injection and production system of the XII7-12 strata system in the N area of the S oilfield, thus, it further confirms the accuracy of attribute prediction based on GRA-SVM. Comprehensive research shows that this method is suitable for high accuracy of the river prediction and can be used as a better river prediction method under complex geological conditions.
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