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| 神经网络微地震相分析方法及应用 | |
| 引用本文： | 杨勇,别爱芳,杨彩娥,孟海泉.神经网络微地震相分析方法及应用[J].地球学报,2005,26(5):483-486. |
| 作者姓名： | 杨勇 别爱芳 杨彩娥 孟海泉 |
| 作者单位： | 1. 中国石油勘探开发研究院,北京,100083 2. 长庆物探研究所,陕西,西安,710021 3. 长庆石油勘探局市场开发部,陕西,西安,710021 |
| 基金项目： | 中石化新星石油公司资助项目，中石化科技部项目 |
| 摘 要： | 传统地震相分析满足不了目前油田勘探开发的需要.神经网络微地震相分析将神经网络应用于高质量地震三维数据体中,可对单一反射同相轴进行波形信号分析和训练,建立模型地震道,并以之对实际地震道进行分类,产生在平面和剖面上精度较高的微地震相分布.新场气田和塔河油田的实际应用表明,神经网络微地震相分析是可靠的和有效的. |
| 关 键 词： | 微地震相 沉积相 神经网络 新场气田 塔河油田 |
Application of the Neural Network to Microseismic Facies Identification |
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| YANG Yong,BIE Ai-fang,YANG Cai-e and MENG Hai-quan.Application of the Neural Network to Microseismic Facies Identification[J].Acta Geoscientia Sinica,2005,26(5):483-486. | |
| Authors: | YANG Yong BIE Ai-fang YANG Cai-e and MENG Hai-quan |
| Institution: | Exploration and Development Institute, CNPC, Beijing, 100083;Exploration and Development Institute, CNPC, Beijing, 100083;Changqing Institute of Geophysics, Xi'an, Shaanxi, 710021;Market Department of Changqing Petroleum Exploration Bureau, Xi'an, Shaanxi, 710021 |
| Abstract: | Traditional seismic facies analysis can not meet the demand of current exploration and development in oil fields. Employed in high quality seismic volume, the neural network microseismic facies technology can analyze and train the seismic waves of one single event, establish model traces for classifying the seismic traces, and obtain high precise microseismic facies in both vertical and horizontal directions. Its application in the Xinchang gas field and the Tahe oil field has proved it to be reliable and efficient. |
| Keywords: | microseismic facies sedimentary facies neural network Xinchang gas field Tahe oil field |
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