| 基于混合模糊神经网络储层裂缝地震反演研究 |
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| 引用本文： | 李勇,王绪本,徐炳高,李正文.基于混合模糊神经网络储层裂缝地震反演研究[J].矿物岩石,2006,26(1):116-119. |
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| 作者姓名： | 李勇 王绪本 徐炳高 李正文 |
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| 作者单位： | 成都理工大学,四川,成都,610059;中国石油化工西南石油局测井公司,四川,成都,610100 |
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| 摘 要： | 基于储层裂缝系统具有非线性特征,储层裂缝地震反演是由遗传算法(GA)、模糊神经网络(ANF IS)和禁忌搜索算法(TS)有机地结合而构成的自适应混合模糊神经网络技术。该技术在成像测井约束下,形成的自适应混合算法分别训练ANF IS网络的前提参数和结论参数,从而获得满足精度要求的储层裂缝密度的最佳估计值。针对目标储层段,应用储层裂缝地震反演方法对过井地震剖面和联井地震剖面进行了储层裂缝密度反演处理,获得了可用于地质解释和油气预测的视裂缝密度剖面。这种裂缝密度剖面含有裂缝定量信息,其裂缝密度相对误差为:0.8%~24%,满足勘探开发的要求。经与研究区的地质对比分析表明,视裂缝密度剖面上的裂缝展布特征符合研究区的沉积相分布和岩石力学性质的变化特征,对研究区的勘探开发具有重要意义。
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| 关 键 词： | 储层视裂缝密度 ANFIS神经网络 遗传算法 禁忌搜索 反演 成像测井 |
| 文章编号： | 1001-6872（2006）01-0116-04 |
| 收稿时间： | 2005-09-07 |
| 修稿时间： | 2006-01-12 |
RESEARCH ON SEISMIC INVERSION OF RESERVOIR FRACTURE BY MIXED FUZZY NEURAL NETWORK METHOD |
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| LI Yong,WANG Xu-ben,XU Bing-gao,LI Zheng-wen.RESEARCH ON SEISMIC INVERSION OF RESERVOIR FRACTURE BY MIXED FUZZY NEURAL NETWORK METHOD[J].Journal of Mineralogy and Petrology,2006,26(1):116-119. |
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| Authors: | LI Yong WANG Xu-ben XU Bing-gao LI Zheng-wen |
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| Institution: | 1. Chengdu University of Technology ,Chengdu 610059,China; 2. SINOPEC Southwestern Well-log Corporation,Chengdu 610100,China |
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| Abstract: | Reservoir fracture system is of non-linear character.The seismic inversion of reservoir fracture is the adaptive mixed fuzzy neural network technique which is composed of combination of genetic algorithms(GA),adaptive neural fuzzy inference system(ANFIS) and tabu search algorithms(TS).The parameters of ANFIS are exercised by adaptive mixed algorithms in seismic inversion of reservoir fracture under restriction of formation micro-resistivity imaging log(FMI),and so get optimal estimated value of reservoir fracture density.This method is applied to real target reservoir and the apparent fracture density section is obtained.The section has quantitative fracture information which can be used for geological interpretation and oil-gas prediction.The relative error of fracture density is 0.8% to 24%.Compared with the geology of target area,It is showed that fracture distributing character on apparent fracture density section is in accordance with sedimentary facies and rock geomechanic property.It is of important significance to exploration and development in target area. |
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| Keywords: | reservoir apparent fracture density ANFIS neural network genetic algorithm tabu search inversion formation micro-resistivity imaging log(FMI) |
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