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新疆准南地区低电阻率油气层测井识别
引用本文:汪华,肖慈珣,文环明,李红亮.新疆准南地区低电阻率油气层测井识别[J].物探化探计算技术,2004,26(2):125-128.
作者姓名:汪华  肖慈珣  文环明  李红亮
作者单位:1. 成都理工大学,成都,610059
2. 西南油气田分公司,勘探开发研究院,成都,610051
摘    要:新疆准南地区吐谷鲁构造油气储层电阻率低,与水层电阻率差异不大。因此,用常规测井解释方法难以对它们作出有效区分。这里先通过对多种测井信息的综合分析,初步摸清测井与不同类别油气储层之间复杂的非线性映射关系,再用神经网络法建模并预测,取得了良好的效果,较好地解决了该区油、气、水层的识别难题。

关 键 词:新疆  准南地区  低电阻率  油气层  测井  人工神经网络
文章编号:1001-1749(2004)02-0125-04
修稿时间:2003年4月8日

LOGGING IDENTIFYING OF LOW-RESISTIVITY HYDROCARBON RESERVOIRS IN ZHUNNAN AREA,XINJIANG
WANG Hua,XIAO Ci-xun,WEN Huan-ming,LI Hong-liang.LOGGING IDENTIFYING OF LOW-RESISTIVITY HYDROCARBON RESERVOIRS IN ZHUNNAN AREA,XINJIANG[J].Computing Techniques For Geophysical and Geochemical Exploration,2004,26(2):125-128.
Authors:WANG Hua  XIAO Ci-xun  WEN Huan-ming  LI Hong-liang
Institution:WANG Hua~1,XIAO Ci-xun~1,WEN Huan-ming~1,LI Hong-liang~2
Abstract:The oil and gas reservoir formation in Tugulu structure, Zhunnan area, Xinjiang, is of low-resistivity characteristic with little difference from the resistivity of water-bearing formation. So that it is difficult to identify the two kinds of formation with the traditional logging interpretation methods. The complex nonlinear mapping relationships between the oil and gas reservoirs and logging have been found by comprehensive analysis of the many kinds of logging information. Then the model and the prediction of artificial neural network are used to identify the oil-bearing , gas-bearing and water-bearing formation successfully in this area with improved results.
Keywords:zhunnan area  low-resistivity hydrocarbon reservoirs  artificial neural network  logging identify
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