新型电缆地层测试器渗透率反演方法及软件研究  

Permeability Inversion Methods and Software of A New Wireline Formation Tester

作　　者：王华[1] 杜本强[2] 邹辉[3] 陶果[1] 

机构地区：[1]中国石油大学CNPC测井重点研究室,北京102249 [2]中国石油冀东油田勘探研究院,河北唐山063000 [3]中国石油天然气集团公司工程技术与市场部,北京100724

出　　处：《测井技术》2007年第1期10-13,共4页Well Logging Technology

基　　金：国家863项目(JSKF2004YJ14)资助

摘　　要：结合新型电缆地层测试器FCT的特点,将整个预测试过程简化为3个线性系统来反演地层渗透率。在算法中考虑了表皮效应和管线存储效应校正;编制了线性系统下的常规分析程序和非线性系统下的神经网络方法程序。并针对BP算法收敛速度慢的特点,引入Levenberg-Marquardt算法对BP模型进行改进,用实际压力数据进行测试,与Geoframe解释结果相比,吻合良好。通过实际验证,所建立的神经网络模型,预测精度良好,具有较好的非线性映射能力。Combining the characteristic of Formation Characterization Tool （FCT）, a new type of wireline formation tester, the pressure changing pattern in whole pre-test process of FCT is simplified to three linear systems in formation permeability inversion model. Corrections for skin effect and pipeline storage effect are considered in the algorithm; a conventional analysis program with linear model and an artificial neural network （ANN） program with nonlinear model are developed; the Levenberg-Marquardt algorithm is introduced in the ANN model to improve the convergence rate of back propagation （BP） method. The algorithm and code test with real field pressure data results in a good agreement with the interpretation result of software Geoframe of Schlumberger. It shows that the ANN model has rather good forecast accuracy and nonlinear mapping ability.

关 键 词：石油测井 电缆地层测试器 渗透率反演 人工神经网络 Levenberg—Marquardt算法 

分 类 号：P631.34[天文地球—地质矿产勘探]