Journal of Liaoning Petrochemical University
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Application of Seismic Reconstruction Inversion in Prediction of River  Channel of X Development Zone in Daqing Placantieline
Wang Long
Abstract741)      PDF (8401KB)(221)      
Dairying placanticline has already entered extremely high water cut period, transition zone have been brought into sharp focus as the potential reserve area. Since the transition zone has a problem of the large amplitude of structure, thin reservoir and complex sedimentary environment, conventional reservoir interpretation method is difficult to satisfy the requirement of accuracy. In order to solve this problem, the method of using the method of reconstructing separation with micro electrode resistivity curve and microspheres was proposeed, and a set of suitable for the technical flow transition zone in the oil field of fluvial facies reservoir prediction has been established. Development of X in Daqing oilfield as an example, through the processing method of dimension, the absolute difference and the amplitude difference of homogenization, the process of logging curve reconstruction in the study area was achieved, and through four key link of inversion, amplitude difference reconstruction inversion in the study area was completed. Confirmed by drilling, basing on the amplitude difference seismic reconstruction inversion to predict drilling coincidence rate is higher. Combining with well drilling in development zone and seismic attributes, II sedimentary microfacies of main sedimentary unit of oil in the study area S was realized. Comprehensive studies have shown that, this method is high precision to predict river, and can be used as a effective method for prediction of oilfield transition zone channel.
2017, 37 (5): 31-37. DOI: 10.3969/j.issn.1672-6952.2017.05.007
Characteristics and Economic Analysis of Natural Gas Utilization in Northeast Petrochemical Enterprises
Zhao Qiang,Wang Long,Cui Lin,Wang Weiqiang,Wang Guofu
Abstract703)      PDF (1553KB)(298)      
Petrochemical enterprises in Northeast China mainly produced fuel hydrogen from natural gas; the gas units included crude distillation unit, reforming unit, hydro-treating unit, catalyst unit, ethylene unit, delayed coking unit, molecular sieve dewaxing unit, benzene and styrene unit. About (25~30)×10 4 m 3 gas was consumed for one petrochemical enterprise processing ten million tons of crude oil per annum. The main factors that affected the total amount of natural gas consumption included alternative energy, seasonal variation, maintenance, market, emergencies, etc. The calculation of natural gas price bearing capacity with the surrogate worth trade off method showed the price of alternative energy such as naphtha and liquefied gas directly affected the economy of natural gas utilization. Clarifying the use regulation and economic characteristics of nature gas in petrochemical enterprises was conducive to optimizing the plan design of gas utilization, controlling cost and coordinating with the upstream gas suppliers.
2017, 37 (3): 70-75. DOI: 10.3969/j.issn.1672-6952.2017.03.015
Measurement of Solid Phase Velocity Based on the  Electrostatic Sensor Spatial Filtering Method
WANG Xiao-lei,KAN Zhe, WANG Long-ye, LIAO Dai-gen
Abstract431)      PDF (277KB)(261)      
To point charge, the expression of the induced charge on the electrostatic sensor was calculated. When the point charge moved in the measurement zone, the spatial filtering velocity measuring method was obtained with the amplitude-frequency response of the probe and gate function seemed, and then, in the entire frequency range of speed measurement principle was all effective. The measurement speed expression of spatial filtering method was established with the characteristic frequency of signal spectrum analysis and this method can be used for measuring the flow velocity of the gas-solid two phase flow. The spectral characteristics were obtained with using the transition matrix of the spectral density and analyzing their spectrum segment features of the electrostatic sensor output voltage signal, and then the velocity measurement was completed by finding the characteristic frequency. The flow velocity measurement method was verified by experiment, and the scale factor and the correction factor was calibrated through experiment.
2012, 32 (3): 70-73.