新疆石油地质 ›› 2025, Vol. 46 ›› Issue (4): 512-518.doi: 10.7657/XJPG20250416

• 应用技术 • 上一篇    

顺北地区超深层油气藏流体类型识别新方法

杜焕福1,2(), 王春伟1,2(), 徐明3, 韩军伟3, 张凤姣1,2, 陈心仪1,2, 杨旭东4   

  1. 1.中石化经纬有限公司 地质测控技术研究院,山东 青岛 266071
    2.中国石化 测录井重点实验室,山东 青岛 266071
    3.中国石化 西北油田分公司 石油工程监督中心,乌鲁木齐 830011
    4.中石化经纬有限公司 西南测控公司,成都 610000
  • 收稿日期:2024-10-30 修回日期:2024-12-13 出版日期:2025-08-01 发布日期:2025-07-25
  • 通讯作者: 王春伟 E-mail:slljdhf@126.com;584019559@qq.com
  • 作者简介:杜焕福(1971-),男,山东东营人,高级工程师,地质录井解释,(Tel)0532-58929956(Email)slljdhf@126.com
  • 基金资助:
    中国石化科技攻关项目(P24132);中国石化科技攻关项目(P24222)

A New Method for Identifying Fluid Types in Ultra-Deep Reservoirs in Shunbei Area, Tarim Basin

DU Huanfu1,2(), WANG Chunwei1,2(), XU Ming3, HAN Junwei3, ZHANG Fengjiao1,2, CHEN Xinyi1,2, YANG Xudong4   

  1. 1. Research Institute of Geological Measurement and Control Technology, Sinopec Matrix Co., Ltd., Qingdao, Shandong 266071, China
    2. Key Laboratory of Well Logging and Measurement, Sinopec, Qingdao, Shandong 266071, China
    3. Petroleum Engineering Supervision Center, Northwest Oilfield Company,Sinopec,Urumqi,Xinjiang 830011,China
    4. Southwest Measurement and Control Company, Sinopec Matrix Co., Ltd., Chengdu, Sichuan 610000
  • Received:2024-10-30 Revised:2024-12-13 Online:2025-08-01 Published:2025-07-25
  • Contact: WANG Chunwei E-mail:slljdhf@126.com;584019559@qq.com

摘要: 顺北地区超深层油气藏油气多期充注及运移调整,油气分布规律复杂,储集层流体类型识别难度大。为了准确识别顺北地区超深层油气藏的流体类型,以钻井、录井及生产动态测试资料为基础,建立了气相烃类数据主要影响因素的综合校正方法,提出了应用含油系数、含气系数与含水系数构建三维模型进行流体类型识别的新方法。结果表明:基于灰色关联算法建立的钻时、钻头直径、钻井取心、钻井液密度、钻井液排量等气相烃类数据影响因素的综合校正方法,提高了气相烃类数据可对比性及准确性;依据典型气层中C1含量与全烃含量接近,油层中重烃组分含量相对较高,水层中重烃组分含量相对较低的特点,用含油系数、含气系数与含水系数建立三维模型,可以准确判断超深层油气藏的流体类型,可为后期油气藏钻井及开发决策提供依据。

关键词: 塔里木盆地, 顺北地区, 超深层油气藏, 流体类型, 评价模型, 气相色谱

Abstract:

The ultra-deep oil and gas reservoirs in the Shunbei area have undergone multi-period hydrocarbon charging and migration, with complex oil/gas distribution patterns, making it difficult to identify reservoir fluid types. In order to accurately evaluate the fluid types in ultra-deep reservoirs in the Shunbei area, based on the data of well drilling, logging and production test, a comprehensive correction method for the key influencing factors of gaseous hydrocarbon data was established. A new method for identifying fluid types with a three-dimensional model incorporating coefficients of oil, gas and water contents was proposed. The results indicate that the comprehensive correction method based on the gray correlation algorithm for the factors affecting gaseous hydrocarbon data, such as drilling time, bit diameter, drilling fluid displacement, drilling coring, and drilling fluid density, has improved the comparability and accuracy of gaseous hydrocarbon data. Because the C1 content in typical gas layers is close to the total hydrocarbon content, and the heavy hydrocarbon content is relatively high in oil layers, while relatively low in water layers, a three-dimensional model using the coefficients of oil, gas and water contents is established to accurately determine the fluid types in ultra-deep reservoirs. The study results provide a basis for later decision-making on well drilling and oil and gas reservoir development.

Key words: Tarim Basin, Shunbei area, ultra-deep reservoir, fluid type, evaluation model, gas chromatography

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