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《Natural Gas Industry》 2014-01
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A gas-water forecasting model based on Poisson′s ratio values and its application in carbonate reservoirs

Wu Dakui;Dai Yong;Li Gangyi;Zheng Shufen;Geological Exploration and Development Research Institute of CNPC Chuanqing Drilling Engineering Co.,Ltd.;  
It is effective to predict gas-water through Poisson′s ratio inversion of seismic data in sandstone reservoirs.However,the effectiveness of this method in carbonate reservoirs has not been well proved.Therefore,eight carbonate sequences,including the Triassic in the Longgang structure of the Sichuan Basin,the Ordovician in the Tarim Basin and the Jurassic in the Amu Darya Right Bank Basin of Turkmenistan,were selected for verifying the effectiveness of this method.The analysis of Poisson′s ratio of logging data reveals that the Poisson′s ratio values of carbonate reservoirs containing fluids correspond,from low to high,to gas layer,gaswater layer,water layer and tight layer respectively.This pattern is clear.Thus,agas-water forecasting model based on Poisson′s ratio values was built for carbonate reservoirs.Synthetic seismograms were generated to accurately calibrate the horizons of reservoirs.Poisson inversion profiles were obtained based on neural network algorithm and used to recognize gas-water layers.The plane maps generated based on these profiles effectively revealed the relationship between gas-water distribution with structures and faults.Application in different types of carbonate reservoirs(such as porous type,fractured type,fractured-porous type and fractured-vuggy type)shows that this method is effective in the identification of gas and water distribution in carbonate reservoirs.It can be used as a new means of gas-water prediction.
【CateGory Index】: P618.13
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