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《Journal of Applied Acoustics》 2020-02
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Static modulus prediction for reservoir rocks based on multi-gene genetic programming

WANG Wenwen;LI Nuo;HAN Jianqiang;LUO Tao;XIAO Tao;Oilfield Technology Department,China Oilfield Services Limited;University of Chinese Academy of Sciences;Beijing Engineering Research Center for Offshore Drilling Exploration and Measurement;The No.3 Research Institute CETC;Engineering Technology Research Institute of CNPC Bohai Drilling Engineering Ltd;  
The static modulus prediction using dynamic modulus of rock based on linear fitting has strong experience and low accuracy. The measured P-wave velocity, porosity and bulk density of rock are taken as input parameters, and based on the multi-gene genetic programming method, the analytical expression of static modulus about the three parameters is obtained by continuous evolution. Then the static modulus of reservoir sandstone is predicted. The results show that the expression of modulus obtained by multi-gene genetic programming method is more accurate. In addition, the static modulus calculation error caused by inaccurate or missing measurement of shear wave velocity is avoided in genetic programming method because the shear wave velocity is not as an input parameter in the calculation process.
【Fund】: 国家自然科学基金项目(11574347 11774373 11734017);; 中国海洋石油集团有限公司“煤层气/页岩气/致密砂岩气三气共采先导性试验研究”资助项目
【CateGory Index】: P618.13;P631
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