Numerical Simulation of Factors Affecting the Recovery of Fractured Gas Reservoirs:Taking of Bozi-Dabei Gas Field,Tarim Basin as an Example
Boz-dabei gas field is rich in oil and gas resources and has great potential for development.Due to the large burial depth,complex structure,fracture development,tight reservoir,high temperature and pressure,complex and active water distribution of the reservoir,the development characteristics of the gas reservoir are very different,and the water penetration rate of some gas reservoirs is fast,which seriously affects the development effect of the gas reservoir and the final recovery efficiency.On the basis of determining eight main influencing factors(fracture development degree,gas reservoir amplitude,drainage scale,abandonment pressure,well pattern density,gas reservoir thickness,water body size,gas production speed,and well pattern type),the influence of each factor on the recovery efficiency through numerical simulation was analyzed,the grey correlation degree model to sort the weight was used,and the influencing factors of gas reservoir recovery efficiency were analyzed.The results show that the fracture development degree,gas reservoir amplitude,water control strategy/drainage scale,abandonment pressure and well pattern density have great influence on the recovery efficiency,while the gas reservoir thickness,water body size,gas production speed and well pattern type have little influence on the recovery efficiency.Among them,gas production speed,water control strategy and drainage scale,well pattern and well layout are human controllable factors,which can be controlled to achieve the best development benefits.The abandoned formation pressure is a variable factor,and various processes can be used to reduce the abandoned formation pressure to improve oil recovery.The weight analysis of gas reservoir recovery factor provides a theoretical basis for improving oil recovery and efficient gas reservoir development.
fractured gas reservoirrecovery factornumerical simulationgrey correlation analysisEOR development measure
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