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灰色评价熵模型在含油面积评价中的应用
引用本文:黄石岩.灰色评价熵模型在含油面积评价中的应用[J].地质力学学报,2006,12(1):77-83.
作者姓名:黄石岩
作者单位:中国石油化工有限公司, 北京 100029
基金项目:中国石油化工集团公司资助项目
摘    要:针对目前灰色关联分析方法在评价岩性、物性、含油性、含油面积等地质模型中有时存在评价结果分辨率不高的问题,基于信息论中Jaynes最大信息熵原理和灰色关联度的定义,构造目标函数,运用拉格朗日乘数法,建立了一种新的灰色精细评价模型。结合实例说明了模型的具体应用,并与原灰色关联分析方法进行了对比,结果基本一致,而且明显提高了分辨率。该模型数学推导严谨,可靠性高,具有较高的灵敏度。 

关 键 词:含油面积        关联分析    评价
文章编号:1006-6616(2006)01-0077-07
收稿时间:2005-11-23
修稿时间:2005年11月23

ENTROPY MODEL OF GRAY SYSTEMS AND ITS APPLICATION IN OIL-BEARING AREA EVALUATION
HUANG Shi-yan.ENTROPY MODEL OF GRAY SYSTEMS AND ITS APPLICATION IN OIL-BEARING AREA EVALUATION[J].Journal of Geomechanics,2006,12(1):77-83.
Authors:HUANG Shi-yan
Institution:SINOPEC, Beijing 100029
Abstract:The resolution of evaluation resuhs is sometimes low when using the present gray association analysis to evaluate the geological models of lithology, physical properties, oil potential and oil-bearing area. In regard to this problem, a new gray fine evaluation model has been constructed using the Lagrange muhiplier method on the basis of the Jaynes maximum information entropy principle and definition of gray association in the information theory and structural target function. A case study is given to explain how to use this model. A comparison of this new evaluation model with the original gray association analysis shows that their results are in the main consistent and the resolution is markedly raised. This model is strictly derived and has higher sensitivity and reliability.
Keywords:oil-bearing area  entropy  coefficient of correlation  evaluation
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