基于灰色关联分析的产能指数在储集层评价中的应用

发布时间：2018-03-27 12:29

本文选题：灰色关联分析　切入点：物性　出处：《录井工程》2016年04期

【摘要】：储集层含油性、物性是储集层流体性质解释评价的基础,由于含油气性、物性等相关单项资料的局限性,每项资料对解释所做的贡献不同,传统的单一参数已不能满足油气层精细解释评价的需求,将多种资料有效结合、综合应用是进行有效解释评价的基础,数学统计方法成为多参数综合分析必要手段,由此建立了产能指数评价图板。产能指数的确定取决于含油性以及物性数据对该指数的贡献率,即参与该指数计算的各个参数的权重系数。以华北油田霸县凹陷东部文安斜坡区储集层解释评价中的气测全烃、岩石热解含油气总量、定量荧光相当油含量、渗透率和孔隙度5项反映含油性和物性的参数为依据,应用灰色关联分析原理,在分析各个参数关联系数的基础上,得出了产能指数计算的关系式;以该区已试油的8口井18个层录井数据和试油结果为依据,在分别计算出产能指数后,制作产能指数与试油产量交会图板,从中可以看出,产能指数大于0.3为产能区,小于0.3为非产能区。该区两口井的应用表明,预测结果与试油结果相符,避免了常规解释评价中的多解性、差异性、交叉性,提高了储集层解释评价准确性。
[Abstract]:The oil-bearing and physical properties of the reservoir are the basis for the interpretation and evaluation of the fluid properties of the reservoir. Due to the limitation of the related individual data, such as oil-gas and physical properties, each item of data contributes differently to the interpretation. The traditional single parameter can no longer meet the needs of fine interpretation and evaluation of oil and gas reservoir. The comprehensive application is the basis of effective interpretation and evaluation, and the mathematical statistical method is the necessary means for comprehensive analysis of multiple parameters. The productivity index is determined by the oil content and the contribution rate of the physical property data to the productivity index. That is, the weight coefficients of the parameters involved in the calculation of the index. Taking the gas logging total hydrocarbon in the interpretation and evaluation of the reservoir in Wenan slope area in the eastern part of Baxian sag of Huabei Oilfield, the total oil and gas content in pyrolysis of rocks and the equivalent oil content in quantitative fluorescence are calculated. On the basis of the five parameters of permeability and porosity reflecting oil content and physical property, the relation formula of productivity index is obtained by applying the principle of grey correlation analysis and analyzing the correlation coefficient of each parameter. Based on the logging data and test results of 18 wells in 8 wells tested in this area, the productivity index is calculated separately, and the intersection chart between productivity index and oil test output is made. It can be seen that the productivity index is greater than 0.3 as the productivity area. The application of two wells in this area shows that the prediction results are consistent with the test results, avoiding the multi-solution, diversity and intersectionality in conventional interpretation and evaluation, and improving the accuracy of reservoir interpretation and evaluation.
【作者单位】：中国石油渤海钻探第二录井公司;中国石油华北油田公司勘探部;
【分类号】：TE328;P618.13

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