摘要
双侧向测井反演中,采用微粒群优化算法进行3参数(原状地层电阻率、侵入带电阻率、侵入半径)反演,反演结果精确度较高。由于微粒群优化算法对初值依赖性较小,从而算法也较为稳定,增加了反演结果的可信度。
During the inversion of the dual-lateral log, the particle swarm optimization algorithm is used to invert the three parameters （the resistivity of the destination formation, the resistivity of the invasion zone, and the radius of the invasion zone）. In this way, the result of inversion has relatively high accuracy in actual computation. As the particle swarm optimization algorithm is less dependent on initial values, the algorithm has higher stability, and can enhance the reliability of inversed results.
出处
《物探与化探》
CAS
CSCD
2007年第B10期29-31,46,共4页
Geophysical and Geochemical Exploration
基金
中国石油天然气集团公司石油科技中青年创新基金项目(06E1020)
中国石油大学优秀博士学位论文培训基金(B2007-5)
关键词
双侧向测井
反演
微粒群优化算法
dual-lateral log
inversion
particle swarm optimization algorithm
