| 地震数据结构分析与油气预测方法 |
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| 引用本文： | 王尚旭,林昌荣.地震数据结构分析与油气预测方法[J].应用地球物理,2004,1(2):75-82. |
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| 作者姓名： | 王尚旭 林昌荣 |
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| 作者单位： | 石油大学，中国石油天然气集团公司物探重点实验室，中国海洋石油集团公司生产研究中心 北京，102249，北京，101149 |
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| 基金项目： | Mainly presented at the 6-th international meeting of acoustics in Aug. 2003, and The 1999 SPE Asia Pacific Oil and GasConference and Exhibition held in Jakarta, Indonesia, 20-22 April 1999, SPE 54274. |
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| 摘 要： | 文中引入了地震资料数据结构的概念并解释了地震数据结构和地震数值之间的不同之处。我们的研究表明:地震数据结构与地层含油气性紧密相关,因此对地质和地球物理工作者精确地从地震资料解释含油层是非常有用的。此项技术可用于勘探开发的任何阶段。此方法已在中国一系列勘探井和开发井上试验,并已被证明是可靠的,试验成功率超过80%。此预测的新方法可应用于:(1)海相、三角州相或非海相的沉积环境;(2)非海相碎屑岩和灰岩岩层的沉积岩以及(3)埋深度从300m到2000m,油层最小厚度为8m(主频为约50周)。关键词:
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| 关 键 词： | 烃类预测 含烃层 地震数据结构 地震数据值 地震相的变异 成功率 |
| 收稿时间： | 19 May 2004 |
The Analysis of Seismic Data Structure and Oil and Gas Prediction |
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| Wang Shangxu and Lin Changrong ,University of Petroleum,Key Laboratory of Geophysical Prospecting,CNPC,Beijing,Production Institute of CNOOC Research Center,Beijng,China..The Analysis of Seismic Data Structure and Oil and Gas Prediction[J].Applied Geophysics,2004,1(2):75-82. |
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| Authors: | Wang Shangxu and Lin Changrong University of Petroleum Key Laboratory of Geophysical Prospecting CNPC Beijing Production Institute of CNOOC Research Center Beijng China |
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| Institution: | (1) Key Laboratory of Geophysical Prospecting, CNPC, University of Petroleum, 102249 Beijing;(2) Production Institute of CNOOC Research Center, 101149 Beijng, China |
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| Abstract: | In this paper, a new concept called numerical structure of seismic data is introduced and the difference between numerical structure and numerical value of seismic data is explained. Our study shows that the numerical seismic structure is closely related to oil and gas-bearing reservoir, so it is very useful for a geologist or a geophysicist to precisely interpret the oil-bearing layers from the seismic data. This technology can be applied to any exploration or production stage. The new method has been tested on a series of exploratory or development wells and proved to be reliable in China. Hydrocarbon-detection with this new method for 39 exploration wells on 25 structures indi- cates a success ratio of over 80 percent. The new method of hydrocarbon prediction can be applied for: (1) depositional environment of reservoirs with marine fades, delta, or non-marine fades (including fluvial facies, lacustrine fades); (2) sedimentary rocks of reservoirs that are non-marine clastic rocks and carbonate rock; and (3) burial depths range from 300 m to 7000 m, and the minimum thickness of these reservoirs is over 8 m (main frequency is about 50 Hz). |
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| Keywords: | hydrocarbon prediction hydrocarbon oil-bearing stratum seismic data structure data value seismic facies |
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