声-电测井联合流体识别因子构建方法及其应用——以川东北碳酸盐岩气藏为例

发布时间：2018-05-16 23:04

本文选题：阵列声波测井 + Gassmann理论　；参考：《石油物探》2017年02期

【摘要】：针对碳酸盐岩复杂储层流体识别困难的问题,提出了构建声-电测井联合流体识别因子的方法。利用阵列声波等测井资料计算弹性力学参数,构建流体指示系数以表征各弹性力学参数对流体的敏感性,优选敏感弹性参数构建流体识别因子。基于Gassmann理论和阿尔奇公式,证明在气、水两相均质介质中,传统流体识别因子(F)与电阻率参数(R0/Rt)对气、水相对含量的指示具有一致性,以此为依据构建了新的流体识别因子。对比几种流体识别因子的流体指示系数,显示新的流体识别因子的流体指示系数最大,流体识别能力最强。依据新的流体识别因子和纵横波速度比交会图版确定了区域流体识别标准,将其应用于川东北地区碳酸盐岩储层的流体识别,解释结果与试采结论吻合较好。该流体识别因子为碳酸盐岩储层流体识别提供了有益参考。
[Abstract]:In view of the difficulty of fluid identification in carbonate complex reservoir, a method of constructing the combined acoustic and electric logging fluid identification factor is proposed. The elastic mechanical parameters are calculated by using array acoustic logging data, and the fluid indication coefficient is constructed to express the sensitivity of each elastic mechanical parameter to the fluid, and the sensitive elastic parameter is selected to construct the fluid identification factor. Based on Gassmann theory and Archie formula, it is proved that in gas and water two-phase homogeneous media, the traditional fluid identification factor (F) and resistivity parameter R _ 0 / R _ (t) are consistent with the indication of the relative content of gas and water. Based on this, a new fluid recognition factor is constructed. By comparing the fluid indication coefficients of several fluid recognition factors, it is shown that the new fluid identification factors have the largest fluid indication coefficient and the strongest fluid identification ability. According to the new fluid identification factor and the cross chart of compressional and shear wave velocity ratio, the regional fluid identification criteria are determined and applied to the fluid identification of carbonate reservoirs in northeast Sichuan. The interpretation results are in good agreement with the production test results. The fluid identification factor provides a useful reference for carbonate reservoir fluid identification.
【作者单位】：中国石油大学(华东)地球科学与技术学院;中国石油化工集团公司胜利石油工程有限公司测井公司;中国石油天然气股份有限公司长庆油田分公司第十二采油厂;
【基金】：国家重点基础研究发展计划(973计划)项目(2011CB202402)资助~~
【分类号】：P631.81

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