| 神经网络微地震相分析方法及应用 |
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| 引用本文：杨勇,别爱芳,杨彩娥,孟海泉.2005.神经网络微地震相分析方法及应用[J].地球学报,26(5):483-486. |
| DOI：10.3975/cagsb.2005.05.15 |
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| 基金项目:中石化新星石油公司项目“新场气田侏罗系气藏立体开发技术研究”（编号：XYK2000-20）;中石化科技部项目“塔河4区碳酸盐岩裂缝-溶洞分布与油井产能关系研究”（编号：P02035） |
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| 中文摘要: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。 |
| 中文关键词:微地震相 沉积相 神经网络 新场气田 塔河油田 |
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| Application of the Neural Network to Microseismic Facies Identification |
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| 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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