测井技术2025，Vol.49Issue(2)：255-265,11.DOI:10.16489/j.issn.1004-1338.2025.02.013
基于新特征响应参数的寒武系白云岩储层流体识别方法研究
Research on Fluid Identification Methods for Cambrian Dolomite Reservoirs Based on New Characteristic Response Parameters
摘要
Abstract
Most carbonate reservoirs have poor physical properties,low porosity and permeability,strong heterogeneity and significant anisotropy.It is difficult to accurately identify the fluid properties of complex oil and gas reservoirs by single logging method.Therefore,to address the challenge of fluid identification in carbonate rocks,this study takes the Cambrian dolomite reservoirs in the Tarim basin as an example.Based on the existing data from the Tarim oilfield,a new characteristic parameter,resistivity per unit porosity RA,is proposed.Furthermore,this paper explores multiple fluid identification methods based on the new characteristic response parameters.These methods include two cross-plot methods,namely RA—C1 and RA—Δt,and the artificial intelligence-based random forest identification method.The results of case studies show that,in terms of the accuracy of the three methods,the random forest intelligent method has an edge over the cross-plot methods.Specifically,the fluid identification accuracy of the RA—C1 cross-plot method reaches 86.79%,that of the RA—Δt cross-plot method is 84.55%,and that of the random forest intelligent method is 88.56%.However,the cross-plot methods exhibit higher accuracy in identifying gas-bearing water layers and water layers.In conclusion,the comprehensive application of these methods can significantly improve the accuracy of fluid identification in carbonate rocks,providing an effective approach to solve the practical problem of accurately discriminating the fluid types in carbonate reservoirs during oil and gas exploration and development.关键词
碳酸盐岩/流体识别/交会图版法/随机森林/单位孔隙度电阻率/白云岩储层Key words
carbonate rock/fluid identification/crossplot method/random forest/resistivity per unit porosity/dolomite reservoir分类
天文与地球科学引用本文复制引用
蔡明,高紫然,张远君,叶畅,伍东,陈旭,苗雨欣,章成广..基于新特征响应参数的寒武系白云岩储层流体识别方法研究[J].测井技术,2025,49(2):255-265,11.基金项目
国家自然科学基金项目"复杂裂缝介质多尺度声波测井响应机理实验及智能评价方法研究"(42474177) （42474177）
国家自然科学基金项目"致密储层裂缝有效性的双尺度声波测井评价方法研究"(42104126) （42104126）
中国石油科技创新基金课题"超深裂缝型各向异性地层声波测井响应机理实验研究"(2022DQ02-0301) （2022DQ02-0301）
