新疆石油地质 ›› 2023, Vol. 44 ›› Issue (6): 667-673.doi: 10.7657/XJPG20230604

• 油气勘探 • 上一篇    下一篇

玛湖凹陷风城组碱性矿物特征及天然碱测井评价

毛锐1(), 赵磊2, 申子明1, 罗兴平1, 陈山河1, 冯程3()   

  1. 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
  • 收稿日期:2023-02-03 修回日期:2023-04-06 出版日期:2023-12-01 发布日期:2023-11-29
  • 通讯作者: 冯程(1988-),男,四川遂宁人,教授,博士,测井评价,(Tel)0990-6633524(Email)fcvip0808@126.com
  • 作者简介:毛锐(1989-),男,新疆克拉玛依人,高级工程师,硕士,测井评价,(Tel)0990-6245748(Email)mrui@petrochina.com
  • 基金资助:
    国家自然科学基金(42004089);国家自然科学基金(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)

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

MAO Rui1(), ZHAO Lei2, SHEN Ziming1, LUO Xingping1, CHEN Shanhe1, FENG Cheng3()   

  1. 1. Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China
    2. School of Geophysics, China University of Petroleum, Beijing 102249, China
    3. School of Petroleum, Karamay Campus, China University of Petroleum, Karamay, Xinjiang 834000, China
  • Received:2023-02-03 Revised:2023-04-06 Online:2023-12-01 Published:2023-11-29

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。

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

Abstract:

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 industrial 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 previous 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 resistivity 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 requirements for precise mineral content calculations. Finally, based on the logging evaluation results of trona content from eleven wells, the distribution of trona in the Fengcheng formation is clarified. The research results may provide a theoretical and technical support for trona resource evaluation.

Key words: Mahu sag, Fengcheng formation, alkaline mineral, logging response, trona, logging evaluation, physical property, oil-bearing Property

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