| 基于神经网络的多属性火成岩岩性反演技术 |
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| 引用本文： | 冉启全,周雪峰,胡永乐.基于神经网络的多属性火成岩岩性反演技术[J].西南石油学院学报,2006,28(1):5-8,17. |
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| 作者姓名： | 冉启全 周雪峰 胡永乐 |
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| 作者单位： | 中国石油勘探开发研究院,北京100083 |
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| 基金项目： | 中国石油天然气股份公司资助项目 |
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| 摘 要： | 在岩心分析的基础上,应用地质、测井、地震等多学科资料对枣园火成岩的岩性、电性、波阻抗特征进行了研究,并对岩性、电性与波阻抗、地震属性间的相关性进行了系统分析.在此基础上,针对常规波阻抗反演方法的不足,形成了一套基于神经网络的多属性岩性反演技术,采用该技术对枣园火成岩不同岩性进行了反演,给出了火成岩厚度及孔隙度分布.
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| 关 键 词： | 火成岩 岩性 电性 地震属性 神经网络 岩性反演 |
| 文章编号： | 1000-2634（2006）01-0005-05 |
| 收稿时间： | 2005-03-17 |
| 修稿时间： | 2005-03-17 |
MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK |
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| RAN Qi-quan,ZHOU Xue-feng,HU Yong-le.MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK[J].Journal of Southwest Petroleum Institute,2006,28(1):5-8,17. |
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| Authors: | RAN Qi-quan ZHOU Xue-feng HU Yong-le |
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| Abstract: | Based on core analysis, the lithologies, electrology charac- ters, and wave impedance characteristics of Igneous Rocks have been analyzed with geological, logging, seismic and many other information. The correlativity between the lithologies, electrology characters and wave impedance, seismic attribute has been systematically investigated. To overcome the shortage of conventional wave impedance inversion, a set of multi-attributes lithologieal inversion of Igneous Rocks based on neural network has been established. The lithologies of Igneous Rock in Zaoyuan oilfield have been predicted with the inversion method, and the distribution of thickness and porosity were given. |
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| Keywords: | Igneous Rock lithologies electrology characters seismic attribute neural network lithological inversion |
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