| 微地震相分析在河流储层精细描述中的应用 |
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| 引用本文： | 杨勇,别爱芳,杨彩娥,孟海泉,施少武. 微地震相分析在河流储层精细描述中的应用[J]. 大庆石油地质与开发, 2003, 22(6): 69-70 |
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| 作者姓名： | 杨勇 别爱芳 杨彩娥 孟海泉 施少武 |
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| 作者单位： | 中国地质大学,北京,100083;中国石油化工股份有限公司,勘探开发研究院,北京,100083;东方地球物理公司研究院,长庆分院,陕西,西安,710021;长庆油田分公司,市场开发部,陕西,西安,710021 |
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| 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三维地震数据体中，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，并对实际地震道分类，进而得到在平面和剖面上精度较高的微地震相分布。采用该方法并结合测井资料，在研究区块中建立的微地震相分布图能够清晰地表现出该区块的沉积微相特征，且较好地解释了工区内2口井的产能差异，表明神经网络微地震相分析是可靠和有效的。
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| 关 键 词： | 微地震相 沉积相 神经网络 河流相 |
| 文章编号： | 1000-3754(2003)06-0069-02 |
| 修稿时间： | 2003-08-04 |
Application of microseismic facies in fine description of fluvial reservoir |
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| YANG Yong,et al.. Application of microseismic facies in fine description of fluvial reservoir[J]. Petroleum Geology & Oilfield Development in Daqing, 2003, 22(6): 69-70 |
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| Authors: | YANG Yong et al. |
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| Abstract: | Traditional seismic facies analysis can not satisfy the needs of current exploration and development in oil fileds. Used in high quality seismic data volume, neural network microseismic facies technology can analyze and train the seismic waves of one single reflection , establish model seismic tracks that were used to classify the seismic tracks, and obtain high precise microseismic facies vertically and horizontally. Combined with logging data, the established mieroseismic facies of the working area showed clearly the deposi-tional microfacies of target zone and explained the gas production difference between two wells, which had confirmed that the technology was reliable and efficient. |
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| Keywords: | microseismie fades depositional facies neural net-work fluvial facies |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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