玛湖凹陷风城组碱性矿物特征及天然碱测井评价  

Characteristics of Alkaline Minerals and Logging Evaluation of Trona in Fengcheng Formation of Mahu Sag

作　　者：毛锐[1] 赵磊[2] 申子明 罗兴平[1] 陈山河 冯程 MAO Rui;ZHAO Lei;SHEN Ziming;LUO Xingping;CHEN Shanhe;FENG Cheng(Research Institute of Exploration and Development,Xinjiang Oilfield Company,PetroChina,Karamay,Xinjiang 834000,China;School of Geophysics,China University of Petroleum,Beijing 102249,China;School of Petroleum,Karamay Campus,China University of Petroleum,Karamay,Xinjiang 834000,China)

机构地区：[1]中国石油新疆油田分公司勘探开发研究院,新疆克拉玛依834000 [2]中国石油大学(北京)地球物理学院,北京102249 [3]中国石油大学(北京)克拉玛依校区石油学院,新疆克拉玛依834000

出　　处：《新疆石油地质》2023年第6期667-673,共7页Xinjiang Petroleum Geology

基　　金：国家自然科学基金(42004089,42364007);新疆维吾尔自治区自然科学基金(2021D01E22);克拉玛依市创新环境建设计划(创新人才)项目(20212022hjcxrc0033)。

摘　　要：准噶尔盆地玛湖凹陷风城组为碱湖相沉积。靠近碱湖中心发育大量碱性矿物,碱性矿物中天然碱为主要矿物类型,而天然碱作为重要的工业资源具有较大的开发价值。目前,主要采用交会图法对天然碱层段进行定性评价,需要建立天然碱的定量评价方法。根据岩心分析和薄片鉴定资料,结合前人研究成果,将风城组碱性矿物分为天然碱、碳钠钙石、碳钠镁石和硅硼钠石4类,并总结了4类碱性矿物的物理性质以及对储集层物性、含油性的影响。分析了天然碱含量对测井响应特征的影响,并利用深浅电阻率比值建立了天然碱含量预测模型。经过未参与建模的岩心资料的验证,模型预测天然碱含量与岩心分析天然碱含量吻合度较高,平均相对误差为5.67%,满足了矿物含量精确计算的要求。最后,基于11口井的天然碱测井评价结果,明确了玛湖凹陷风城组天然碱分布。研究成果可为天然碱资源评价提供理论和技术支撑。The Fengcheng formation of the Mahu sag in the Junggar basin is primarily composed of alkaline lake sediments.A large number of alkaline minerals are developed near the center of the alkaline lake.As a major type in these alkaline minerals,trona is an important in⁃dustrial resource worthy of development.Currently,the trona intervals are mainly qualitatively evaluated by using the crossplot method,and a quantitative evaluation method is required.Based on core analysis and thin⁃section identification on alkaline minerals,together with pre⁃vious research findings,the alkaline minerals in the Fengcheng formation are classified into four categories:trona,shortite;huntite,and searlesite,and their physical properties and impacts on both reservoir properties and oil⁃bearing property are identified.The influence of trona content on logging responses is analyzed,and a predictive model for trona content is developed by using the deep⁃to⁃shallow resistivi⁃ty ratio.Core data uninvolved in the modeling are used for verifying the predictive model.It is found that the trona content predicted by the model and the trona content measured in the sample are in good agreement,with an average relative error of 5.67%,meeting the require⁃ments for precise mineral content calculations.Finally,based on the logging evaluation results of trona content from eleven wells,the distri⁃bution of trona in the Fengcheng formation is clarified.The research results may provide a theoretical and technical support for trona re⁃source evaluation.

关 键 词：玛湖凹陷 风城组 碱性矿物 测井响应特征 天然碱 测井评价 物性 含油性 

分 类 号：P631[天文地球—地质矿产勘探]