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作 者:徐睿 张飞 蔡珺君 毛正林 李文 周芳芳 胡怡 田野 XU Rui;ZHANG Fei;CAI Junjun;MAO Zhenglin;LI Wen;ZHOU Fangfang;HU Yi;TIAN Ye(Exploration and Development Research Institute,PetroChina Southwest Oil&Gasfield Company,Chengdu,Sichuan 610041,China)
机构地区:[1]中国石油西南油气田公司勘探开发研究院,四川成都610041
出 处:《天然气勘探与开发》2024年第6期62-69,共8页Natural Gas Exploration and Development
基 金:中国石油天然气股份有限公司重大专项(编号:2021DJ1505)。
摘 要:储层分类评价是井位论证、储量申报等方面的重要研究内容,对于储层品质判断及类型划分具有指示意义。碳酸盐岩储层由于受岩溶作用、裂缝发育、酸化改造等多因素影响,表现出较强非均质性,并且各因素之间往往独立性较强、优先级不清楚、影响程度不明确,造成碳酸盐岩储层定量评价更为复杂,评价结果具有不确定性,需要开展主控因素下的储层定量评价研究。以四川盆地安岳气田台内带上震旦统灯影组四段碳酸盐岩储层为研究对象,利用岩心、测井、示踪剂、测试等静动态资料明确储层发育主控因素,优选出储层厚度、丘地比、声波、孔隙度、裂缝密度、用酸强度等6个评价参数来表征储层特征,利用灰色关联分析法计算各参数权重,确定储层综合评价指标。研究结果表明:(1)依据储层综合评价指标(I_(REI))可划分为4类储层,Ⅰ、Ⅱ、Ⅲ、Ⅳ类储层划分标准分别为I_(REI)≥36、30≤I_(REI)<36、24≤I_(REI)<30、I_(REI)<24,其中Ⅰ、Ⅱ类储层占比达57.1%,属于优质储层,Ⅲ类储层占比为28.6%;(2)运用该储层定量评价方法对单井储层类型划分进行验证,分类结果与各储层段实测产气量吻合率高达90%。评价结果具有一定可靠性,可为下步勘探开发决策提供依据。As an essential task for well demonstration and reserve submission,reservoir classification and evaluation are indicative significance to size the reservoir quality and type.Conditioned by karstification,fracture growth,and acid fracturing,most carbonate reservoirs exhibit strong heterogeneity.However,there is no relationship among these factors which are unclear in their priority and impact,bringing about more complex in quantitative evaluation and uncertainty in this evaluation.It is essential for quantitative reservior evaluation under main controls.Thus,the carbonate reservoirs in the fourth member of the Upper Sinian Dengying Formation(Dengying 4 Member)in the intra-platform zone of Anyue gasfield were taken as examples to identify main controls on reservoir development using static and dynamic data such as core,well logging,tracer,and testing.Furthermore,six parameters,including reservoir thickness,shoal-to-formation ratio,acoustic wave,porosity,fracture density,and acid intensity,were selected as reservoir characterization.And each weight was calculated through grey relation analysis to determine a comprehensive evaluation indicator.Results show that,(i)in the light of this indicator(I_(REI)),the reservoirs can be divided into four types,such as type I(I_(REI)≥36),II(30≤I_(REI)<36),III(24≤I_(REI)<30),and IV(I_(REI)<24),among them both type I and II reservoirs account for 57.1%,as high-quality ones,while type III of 28.6%,respectively;and(ii)the proposed quantitative evaluation method has been applied to verifying this classification in a single well,achieving a coincidence of above 90%with the measured production from each reservoir.The evaluation is believed reliable to a certain extent,and can provide a basis for subsequent exploration and development decision-making.
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