| 利用地震多属性分析技术预测"暗点"型含气储层 |
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| 引用本文： | 林小兵,刘莉萍.利用地震多属性分析技术预测"暗点"型含气储层[J].新疆地质,2007,25(2):183-186. |
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| 作者姓名： | 林小兵 刘莉萍 |
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| 作者单位： | 1. 成都理工大学"油气藏地质及开发工程"国家重点实验室,四川,成都,610059;成都理工大学沉积地质研究院,四川,成都,610059
2. 中国石化西南分公司勘探开发研究院,四川,成都,610081 |
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| 摘 要： | 充分利用能够反映储层及其含气特征的多种地震属性,结合已知钻井的测井、地质资料进行综合分析,以神经网络技术和属性降维处理为技术手段,估算储层参数及预测储层含气性的方法就是地震多属性分析技术.该技术的关键是储层的精细标定、层位准确追踪,以及沿层提取属性所开时窗的合理性.对孝泉-新场地区须家河组二段气藏的应用实例证实,该技术是运用叠后地震数据对"暗点"型气藏进行储层及其含气性预测的又一有效手段.
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| 关 键 词： | 地震多属性分析技术 "暗点"型气藏 储层预测 含气性预测 |
| 文章编号： | 1000-8845(2007)02-183-04 |
| 修稿时间： | 2007年4月13日 |
APPLICATION OF SEISMIC MULTIPLE-ATTRIBUTES ANALYSIS TECHNOLOGY IN THE EXPLORATION OF DIM-SPOT GAS-BEARING RESERVOIRS |
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| LIN Xiao-bing,LIU Li-ping.APPLICATION OF SEISMIC MULTIPLE-ATTRIBUTES ANALYSIS TECHNOLOGY IN THE EXPLORATION OF DIM-SPOT GAS-BEARING RESERVOIRS[J].Xinjiang Geology,2007,25(2):183-186. |
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| Authors: | LIN Xiao-bing LIU Li-ping |
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| Institution: | 1.State Key Lab of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan, 610059, China; 2.Institute of Sedmentary Geology, Chengdu University of Technology, Chengdu ,Sichuan,610059, China; 3. Exploration and Development Institute of Southwest petroleum Branch Company, SINOPEC, Chengdu ,Sichuan ,610081,China |
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| Abstract: | Taking use of multiple seismic attributes which reflect the characteristics of reservoirs, combining with the present logging and geologic data, by means of neural network and attributation dimension reduction management, seismic multiple-attributes analysis technology can estimate the reservoir paramenters and predict the gas-bearing reservoirs. The key parts of the technology include fine calibration of reservoirs, bed tracing and the rationality of windows opening for attributes picking-up. As an applying example in the prediction of Xiaoquan-Xinchang Gas-bearing reservoirs, Member 2 of Xujiahe Formation, this technology has been proved effective when predicting Dim-spot gas-bearing reservoirs using post-stack seismic data. |
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| Keywords: | seismic multiple-attributes analysis technology Dim-spot gas-bearing reservoirs reservoir prediction gas-bearing prediction |
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