A Study of Improved Deep Brine Resources Evaluation Model of Volumetric Method of One Brine Structure in Northeastern  Sichuan Basin

  • Zhou You ,
  • Ni Shijun ,
  • Shi Zeming
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  • 1.Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059,China;
    2.Department of Geochemistry, Chengdu University of Technology,  Chengdu 610059, China

Received date: 2013-01-22

  Revised date: 2013-03-27

  Online published: 2013-06-10

Abstract

Deep brine resource evaluation is a very difficult issue. On the one hand, deep brine’s geological and hydrogeological parameters are difficult to obtain, and on the other hand deep brine’s evaluation method is lack of standard. Traditional evaluation method of deep brine resources is volumetric method. But volumetric method is too simple to describe spatial form of brine reservoir, and it also can not  solve the problem of deep brine parameters serious heterogeneity. Volumetric method is easy to cumulative error. This paper proposes an improved model of the volumetric method. At first, it uses Opengl API 3D rendering technology to create threedimensional model of brine reservoir. Then, it uses Kriging method to set grid on the brine reservoir 3D model and builds  simulation unit on the brine reservoir 3D model. At last, it uses simulation methods to solve the problem of parameters serious heterogeneity and calculates the resources. This method inherits the traditional calculating ideas, and it can obtain more accurate calculation result. In order to apply this method, a software is develops. This paper evaluates one brine structure’s resources of Northeastern Sichuan Basin as an example. This method can more fully exploit the deep geological parameters, and its result is better than volumetric method. This method is an effective improvement of the volumetric method.

Cite this article

Zhou You , Ni Shijun , Shi Zeming . A Study of Improved Deep Brine Resources Evaluation Model of Volumetric Method of One Brine Structure in Northeastern  Sichuan Basin[J]. Advances in Earth Science, 2013 , 28(6) : 703 -708 . DOI: 10.11867/j.issn.1001-8166.2013.06.0703

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