摘要
储层参数准确求取是测井资料解释的中心任务。面对复杂储层,"四性"关系比较复杂,非线性关系明显,用常规公式计算误差较大,如何利用测井资料准确计算储层参数,成为测井资料数字处理中的重点考虑问题。从分析常用数学方法入手,依托Forward测井解释平台软件,引入神经网络算法、最优化算法、遗传算法3种数学方法,编制了相应的处理模块,并对3种方法进行了对比分析。
accurately obtaining the reservoir parameters was the central task of logging data interpretation.For complex reservoirs,' Four property ' relation was complicated,the nonlinear relationship was clear,conventional formula was high error in calculation.How to use logging data for accurate calculation of reservoir parameters was the key of logging data process.Based on conventional mathematical method and relying on ' Forward ' logging interpretation platform software,neural network algorithm,optimization algorithm,genetic algorithm were introcuced.Corresponding processing module is developed and compared to the three kinds of mathematical methods.
出处
《石油天然气学报》
CAS
CSCD
2012年第8期84-87,166,共4页
Journal of Oil and Gas Technology
关键词
BP神经网络
最优化算法
遗传算法
地层参数
BP neural network
optimization algorithm
genetic algorithm
formation parameter
