Formation Pressure Prediction Based on Hybrid Genetic Algorithm

摘要：

By analyzing methods for predicting formation pressure using seismic interval velocity, a formation pressure prediction approach based on hybrid genetic algorithm is proposed. It first calculates bulk density with seismic interval velocity, and then calculates rock matrix density and porosity by using hybrid genetic algorithm, and finally predicts the formation pressure by using Fillippones formulation. Practical application of the approach shows that it is feasible in prediction of abnormal formation pressure of sandstone and shale caused by undercompaction. Compared with traditional formation pressure prediction methods, the approach does not require establishing normal compaction trend line and has better adaptability and higher accuracy of predictions.

关键词： formation pressure hybrid genetic algorithm particle swarm optimization prediction

作者: Yanjiang Wang Hai Ma Wei Fu

作者单位: College of Information and Control Engineering China University of Petroleum Dongying, Shandong, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2535-2538

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）