Key “Earth Detection and Information Technology” Lab of Ministry of Education,Chengdu University of Science and Engineering, Chengdu City,Sichuan Province,610059,China
Abstract：The reservoir density prediction technique is a non-linear seismic prediction approach based on improved hybrid intelligent learning algorithm.Using seismic acoustic impedance section and the constraint of logging density data,the approach produces chromosome by encoding the target problem and adds the tabu searching algorithm at the cross points of genetic operation,making the chromosome evaluate constantly and carrying out genetic algorithm and ANFIS (Adaptive-Network-based Fuzzy Inference System)algorithm according to certain probability from the beginning to the end;meanwhile, the probability changes adaptively,making the hybrid algorithm reach equilibrium,realizing reservoir density prediction and yielding the reservoir density sections with high-resolution and high-precision.On the basis of obtaining reservoir density sections and using fluid density computation technique,the fluid density sections can be yielded.The application cases and statistics showed the relative amplitude anomaly could reach to 70% and above if fluid density changed from the density of oil/gas-rich layer to that of aquifer bed,so the fluid density is an excellent parameter of oil/gas layer prediction,which is direct proof reflecting the fluid nature and provides a key parameter to HI (hydrocarbon indicator) approach of seismic exploration.
李勇, 李正文, 李志荣, 李琼. 储层密度预测技术研究[J]. 石油地球物理勘探, 2007, 42(2): 216-219.
Li Yong, Li Zheng-wen, Li Zhi-rong, Li Qiong. Study on reservoir density prediction technique. OGP, 2007, 42(2): 216-219.
