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利用灰色关联分析法综合评价油气储层产能
引用本文:谭成仟,宋子齐,吴少波.利用灰色关联分析法综合评价油气储层产能[J].石油地质与工程,2001,15(2):20-23.
作者姓名:谭成仟  宋子齐  吴少波
作者单位:西安石油学院,陕西,西安,710065
摘    要:油气储层的产能影响因素可分为人为因素和储层因素两类,一个油区,在各种作业方式等人为因素大致相同的前提条件下,储层产能主要取决于储层自身的性质。本文从达西二维产量公式出发,研究储层产能的理论方程,以相对渗透率与含水饱和度的函数关系为纽带,导出油气储层产能与储层有效孔隙度、渗透率以及电阻车之间的多元关系式。在此基础上,结合测井学的基本理论,将其作为储层产能综合评价的参数,采用灰色关联分析法建立了储层产能预测系统。该方法不仅可以综合定量地评价储层产能的分类,还可以通过关联度给出评价结果的可靠程度.运用此方法于新疆克拉玛依油田八区克上组储层的油气产能预测,效果良好,从而证实了方法的有效性.

关 键 词:灰色系统  (关联分析)  评价  储集层  产能预测  克拉玛依油田
文章编号:1006-4095(2001)02-0020-04
修稿时间:2000年8月14日

Comprehensive Evaluation of Reservoir Production Capacity Through Grey Association Analysis
TAN Cheng - qian et al.Comprehensive Evaluation of Reservoir Production Capacity Through Grey Association Analysis[J].Petroleum Geology and Engineering,2001,15(2):20-23.
Authors:TAN Cheng - qian
Affiliation:TAN Cheng - qian et al
Abstract:The influential factors on reservoir production capacity can be divided into artificial factors and reservoir factors. The reservoir production capacity depends mainly on reservoir itself on condition that the: artificial factors are basically the same. Beginning with the Darcy's two -dimensional production equation, a theoretical equation of reservoir production capacity is derived and the multivariate function between reservoir production capacity and reservoir effective porosity, permeability and resistivity is established through tile use of the functional relation between relative permeability and water saturation. On base of the above studies, a reservoir production capacity predicting system is established with grey association analytical method. This method not only can comprehensively and quantitatively evaluate the categorization of reservoir production capacity but also can give out the reliability of evaluation results through relation degree. Its effectiveness has been verified by the predicted production capacity of the Keshang Formation in the District 8, Kelamayi oilfiled.
Keywords:grey system  association analysis  evaluation  reservoir  production prediction  Kelamayi oilfield
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