[1]蒋海燕,施小斌,杨小秋,等.基于BP神经网络的测井资料预测岩石热导率[J].测井技术,2012,36(03):304-307.
　JIANG Haiyan,SHI Xiaobin,YANG Xiaoqiu,et al.Prediction of Thermal Conductivity of Rocks Through Geophysical Well Logs Based on BP Neural Network[J].WELL LOGGING TECHNOLOGY,2012,36(03):304-307.
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基于BP神经网络的测井资料预测岩石热导率()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第36卷
期数:
2012年03期
页码:
304-307
栏目:
综合应用
出版日期:
2012-06-29

文章信息/Info

Title:
Prediction of Thermal Conductivity of Rocks Through Geophysical Well Logs Based on BP Neural Network
作者:
蒋海燕1; 2; 施小斌1; 杨小秋1; 石红才1; 2
1.中国科学院边缘海地质重点实验室,中国科学院南海海洋研究所, 广东 广州 510301; 2.中国科学院研究生院, 北京 100049
Author(s):
JIANG Haiyan1; 2; SHI Xiaobin1; YANG Xiaoqiu1; SHI Hongcai1; 2
1.Key Laboratory of Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, Guangdong 510301, China; 2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China
关键词:
测井资料;  热导率;  BP神经网络;  大洋科学钻探
Keywords:
log date;  thermal conductivity;  BP neural network;  Ocean Drilling Program (ODP)
分类号:
P631.81
文献标志码:
A
摘要:
为了获取无岩心深度段的岩石热导率,建立基于BP神经网络的热导率预测模型。根据声波、密度、中子、电阻率、自然伽马等5种测井响应预测岩石热导率,其模型计算所需时间较短,不需要岩性组分资料,比只考虑1种或其中几种物理参数影响的经验公式适用范围更广。对检验样本以及位于南海的1144A井、1146A井、1148A井等 3口大洋科学钻探ODP(Ocean Drilling Program)钻孔的热导率预测结果表明,模型预测的热导率误差低于实验室岩石热导率测试的最大允许误差。该热导率预测模型为获取没有岩心的上述5种测井响应的深度段的岩石热导率提供了一种新途径。
Abstract:
In order to obtain thermal conductivity of rocks at the depth where no core is available, we build ua prediction model for thermal conductivity based on BP neural networks with sonic, density, neutron porosity, resistivity, gamma ray as input. The prediction model needs short estimating time without any more lithological composition data, therefore it has more and wider applications than the empirical formula only influenced by one or several physical parameters. The test results from the test samples and 1144A, 1146A, 1148A well logs show that the error given by our model is less than the maximum permissible error of thermal conductivity measurement under laboratory conditions. This model provides a new way for obtaining thermal conductivity of rocks at the depth where has no core but has the related geophysical well logs.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介： 蒋海燕,男, 1987年生,硕士研究生,从事盆地热史研究。
更新日期/Last Update: 2012-06-20