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基于动力沟道追踪的地下流体运移预测方法初步研究

Underground fluid flow prognosticating based on dynamic channel tracing

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【作者】 曹俊兴何晓燕

【Author】 CAO Jun-xing~1, HE Xiao-yan~2 (1.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, China; 2.College of Information Engineering, Chengdu University of Technology, China)

【机构】 成都理工大学“油气藏地质及开发工程”国家重点实验室成都理工大学信息工程学院 成都610059成都理工大学信息工程学院

【摘要】 地下流体的分布运移预测既是重要的科学问题,又是重要的应用技术问题。作者提出并发展了基于地震图像分析与动力沟道追踪的地下流体运移预测方法。该方法包括两个主要的步骤:(1)由三维地震振幅数据进行岩石裂缝预测,然后据此构造岩石的视渗透率模型;(2)假设地下流体在压力的驱使下主要沿连通的裂缝系统迁移,通过引入假想的源(与汇),以总阻力最小为准则进行流体迁移路径的动力沟道追踪。该文介绍了所提方法的思路与步骤,给出了流体迁移动力沟道追踪的离散格式、追踪准则及数值实验结果。

【Abstract】 This paper presents a new method to prognosticate underground fluid. This method is based on 3-D seismic imaging analysis and so-called dynamic channel tracing. It includes two main steps. The first step is to construct a pseudo-permeability model of the region investigated, and the second one is to trace the underground fluid flow channel with maximal flux. The pseudo-permeability model is constructed according to the rock fractures detection results based on 3-D seismic amplitude data analysis. The maximal flux channel is determined based on a supposition that it has minimum resistance. The fluid flow channel tracing is carried out by introducing an imaginary source and an imaginary collection. The paper describes the discrete configuration for the fluid flow dynamic channel tracing and two numerical tests. The tests show that the idea and the related algorithms present in this paper are valid.

【基金】 国家自然科学基金资助项目(40274019)
  • 【文献出处】 成都理工大学学报(自然科学版) ,Journal of Chengdu University of Technology(Science & Technology Edition) , 编辑部邮箱 ,2004年06期
  • 【分类号】P631.4
  • 【被引频次】2
  • 【下载频次】76
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