Utilizing pre-stack simultaneous inversion to predict reservoir physical properties
Yang Wu-yang1, Wang Cong-bin1,2
1. Northwest Branch,Research Institute of Petroleum Exploration and Development,PetroChina,Xi'an City,Shaanxi Province,730020,China;
2. Chengdu University of Technology,Chengdu City,Sichuan Province,610059,China
Abstract：In order to accurately predict reservoir physical properties and raise quantitative interpretation precision for the seismic data,in this paper a reservoir physical property prediction technique was proposed based on simulated annealing pre-stack AVA simultaneous inversion method,by integratedly considering the space relation between elastic parameters (such as rock density,P-wave and S-wave velocity) and physical properties (porosity and so no),Kohenon self-organized neural network reservoir parameter classification,Multilayer perceptron and other prediction methods were utilized to realize the quantitative prediction for the reservoir physical properties,and quantitative evaluation was made for prediction results.The technique proposed in this paper was applied in the reservoir parameter quantitative prediction for A Exploration area,and the prediction results verified the effectiveness of the technique.
