Optimization model of injection-production parameters for steam stimulation in heavy oil reservoirs of Bohai petroliferous area
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TE357.41

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    Abstract:

    The resource of heavy oil in Bohai petroliferous area is rich. The produced heavy oil reservoirs are mainly developed by conventional water flooding with relatively low recovery efficiency. Economic and effective development of these resources has significant meaning on keeping the production of Bohai petroliferous area stable continuously. Taking typical heavy oil reservoirs in Bohai as research object,key injection-production parameters of steam stimulation including optimized fluid production rate,soak time and steam injection strength were optimized at various oil viscosities,reservoir thicknesses,permeabilities and water volume ratios through numerical simulation. Research results show that along with the increase of formation oil viscosity,the optimal fluid production rate and steam injection strength decrease gradually and the optimal soak time increases gradually. The optimal fluid production rate,soak time and steam injection strength increases with the increase of reservoir thickness. Along with the increase of permeability,the optimal fluid production rate increases,and the optimal soak time and steam injection strength decrease. Along with the increase of water volume ratio,the optimal fluid production rate and soak time increase,and the optimal steam injection strength increases first and then decreases. Using multiple regression mathematical method,the optimization model of injection-production parameters of steam stimulation was established. The calculated results of the optimization model is in consistent with that of reservoir numerical simulation with an error lower than 10%.

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Zhang Xiansong, Xie Xiaoqing, Li Yanjie, He Chunbai. Optimization model of injection-production parameters for steam stimulation in heavy oil reservoirs of Bohai petroliferous area[J]. Petroleum Geology and Recovery Efficiency,2016,23(5):88~92

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  • Received:
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  • Online: October 11,2016
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