| 用自组织神经网络预测黄场油田储层扩边增产 |
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| 引用本文： | 彭丽萍,叶青竹,陈秀兰.用自组织神经网络预测黄场油田储层扩边增产[J].江汉石油职工大学学报,2004,17(6):23-24. |
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| 作者姓名： | 彭丽萍 叶青竹 陈秀兰 |
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| 作者单位： | 中国石化集团江汉油田分公司勘探开发研究院,湖北,潜江,433124;中国石化集团江汉油田分公司勘探开发研究院,湖北,潜江,433124;中国石化集团江汉油田分公司勘探开发研究院,湖北,潜江,433124 |
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| 摘 要： | 利用自组织神经网络分析技术,通过对地震数据体所包含的各种地震信息进行分析计算,能够快速高效选定目标区。针对目标区开展深入细致的研究,可以增强地震分析的定量性与客观性。该项技术在江汉油区黄场油田黄36井区潜43油组进行应用,取得了良好效果,为滚动勘探开发油田提供了新的科学依据。
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| 关 键 词： | 自组织 神经网络 黄场油田 预测 油气层 |
| 文章编号： | 1009-301X(2004)06-0023-(02) |
| 修稿时间： | 2004年6月8日 |
Utilizing self-organizational neural network to predict reservoir extended limits of Huangchang Oilfield for increasing oil production |
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| Peng Liping,Ye Qingzhu,Chen Xiulan.Utilizing self-organizational neural network to predict reservoir extended limits of Huangchang Oilfield for increasing oil production[J].Journal of Jianghan Petroleum University of Staff and Workers,2004,17(6):23-24. |
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| Authors: | Peng Liping Ye Qingzhu Chen Xiulan |
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| Abstract: | By means of analyzing and computing various kinds of seismic information included in the seismic data volume,the technique for analyzing self-organizational neural network has been utilized,which has made it possible to select the target area more quickly and efficiently. The detailed analysis of the target area can enhance the quantification and objectiveness of seismic analysis. Good results have been gained when the technique being utilized in Qian-43 reservoir of Huang36 well area in Huangchang Oilfield,which have provided new scientific evidence for rolling exploration and development of oilfields. |
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| Keywords: | self-organization neural network Huangchang Oilfield prediction oil and gas reservoirs |
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