大庆石油地质与开发

2025, v.44;No.232(06) 87-95

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存储式测井技术在古龙页岩油水平井中的应用及展望
Application and prospects of memory logging technology in Gulong shale oil horizontal wells

陈龙川,闫伟林,郑建东,王文娟,朱建华,郑倩宇
CHEN Longchuan,YAN Weilin,ZHENG Jiandong,WANG Wenjuan,ZHU Jianhua,ZHENG Qianyu

摘要(Abstract):

针对古龙页岩油储层低孔、低渗、强非均质性的特点,以及水平井测井数据采集难度大、覆盖率低的问题,系统分析了存储式测井技术的原理及在古龙页岩油水平井中的实际应用效果。通过集成常规测井与核磁共振、阵列声波等特殊测井方法,构建了以“七性”参数为核心的储层综合评价体系,实现了对地质“甜点”和工程“甜点”的精准识别。实际应用结果表明,存储式测井技术能够有效提升水平井测井数据的完整性与准确性,为页岩油储层评价和压裂优化提供关键数据支持。结合当前技术瓶颈,从传感器精度、数据智能处理等方面提出了未来发展方向。研究成果对推动页岩油高效开发具有重要理论和实践意义。
Aiming at the characteristics of low porosity, low permeability and high heterogeneity in Gulong shale oil reservoirs, as well as the difficulty in acquiring logging data and low coverage, the principles of memory logging technology and its practical application effect in Gulong shale oil horizontal wells are systematically analyzed. By integrating conventional logging with specialized methods such as NMR and array acoustic logging, a comprehensive reservoir evaluation system focused on “seven properties” is established, achieving accurate identification of geological “sweet spots” and engineering “sweet spots”. Actual application results indicate that memory logging technology significantly improves the completeness and accuracy of logging data in horizontal wells, providing critical data support for shale oil reservoir evaluation and fracturing optimization. Based on current technical limitations, future development directions are proposed from aspects of sensor accuracy and intelligent data processing. The research results provide important theoretical and practical significance for promoting the efficient development of shale oil.

关键词(KeyWords): 存储式测井;水平井;储层综合评价;古龙页岩油;松辽盆地
memory logging;horizontal well;comprehensive reservoir evaluation;Gulong shale oil;Songliao Basin

Abstract:

Keywords:

基金项目(Foundation): 中国石油天然气股份有限公司油气重大专项“陆相页岩油地球物理建模关键技术研究”(2023ZZ15YJ02);; 新型油气勘探开发国家科技重大专项“松辽盆地白垩系陆相页岩油勘探开发技术与集成示范”(2024ZD1404902)

作者(Author): 陈龙川,闫伟林,郑建东,王文娟,朱建华,郑倩宇
CHEN Longchuan,YAN Weilin,ZHENG Jiandong,WANG Wenjuan,ZHU Jianhua,ZHENG Qianyu

DOI: 10.19597/J.ISSN.1000-3754.202509026

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