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地层评价与测井技术新进展:第66届SPWLA年会综述OA

Advances in Formation Evaluation and Well Logging Technology:Overview of the SPWLA 66th Annual Logging Symposium

中文摘要英文摘要

介绍了第 66 届岩石物理学家与测井分析家协会(Society of Petrophysicists and Well Log Analysts,SPWLA)年会的主要内容,以年会上交流的 141 篇学术论文为基础,重点从地层评价技术及其应用、电磁测井技术及其应用、声波测井技术及其应用以及核测井技术及其应用这 4 个方面,对测井技术的最新研究进展进行了总结与分析.研究表明,测井技术正朝着智能化、精准化、安全环保化方向快速发展,地层评价融合数字岩石技术与人工智能技术,实现从宏观定性向微观定量表征深化,显著提升复杂储层评价精度;电磁测井技术向超深探测、高分辨成像突破,支撑精准地质导向与储层精细评价;声波与核测井技术借助数据处理算法与新型传感器,在工程监测及地质碳封存等方面取得重要进展.在此基础上,对国内外测井技术研究的关注点进行分析,对随钻深探测与多维数据融合、人工智能、岩石物理与数字岩石、多技术融合及能源转型等领域的测井技术发展趋势进行分析讨论,并对中国随钻测井核心技术攻关、人工智能与测井技术融合、数字岩石及应对能源转型的测井技术发展等方面提出相关建议.

This paper provides a brief overview of the key points of the 66th annual logging symposium of the Society of Petrophysicists and Well Log Analysts(SPWLA).Based on the 141 academic papers exchanged at the conference,the latest research progress in logging technology is summarized and analyzed from four aspects,formation evaluation technology and its application,electromagnetic logging technology and its application,acoustic logging technology and its application,and nuclear logging technology and its application.Research indicates that well logging technology is rapidly evolving toward greater intelligence,precision,and environmental sustainability.Formation evaluation,integrating digital rock technology with artificial intelligence(AI),has evolved from macroscopic qualitative analysis to microscopic quantitative characterization,significantly improving the accuracy of complex reservoir assessment.Electromagnetic logging has achieved breakthroughs in ultra-deep penetration and high-resolution imaging,supporting precise geological steering and detailed reservoir evaluation.Meanwhile,acoustic and nuclear logging technologies,empowered by advanced data processing algorithms and novel sensors,have made significant progress in engineering monitoring and geologic carbon storage.Building on this foundation,the paper analyzes the current focus of well logging technology research both domestically and internationally,and discusses trends in the development of well logging technologies in areas such as logging while drilling(LWD)deep detection and multidimensional data integration,artificial intelligence,rock physics and digital rock,multi-technology integration,and energy transition.Furthermore,the paper offers practical recommendations for the development of domestic LWD technologies,the integration of artificial intelligence with logging technology,digital rock,and logging technologies to address the energy transition.

胡海涛;肖占山;章海宁;李慧莹;李思亦;范继林

中国石油集团测井有限公司测井技术研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077中国石油集团测井有限公司地质研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077中国石油集团测井有限公司地质研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077中国石油集团测井有限公司地质研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077中国石油集团测井有限公司测井技术研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077中国石油集团测井有限公司测井技术研究院,陕西 西安 710077||中国石油天然气集团有限公司测井重点实验室,陕西 西安 710077

天文与地球科学

测井技术SPWLA地层评价数字岩石随钻测井人工智能多技术融合能源转型

logging technologySPWLAformation evaluationdigital rocklogging while drillingartificial intelligencemulti-technology integrationenergy transition

《测井技术》 2026 (4)

563-576,14

中国石油天然气集团有限公司科技专项项目"多物理场高精度油气地球物理探测技术与装备"之课题"地球物理井地立体探测方法与装备研发"(2023ZZ05-03)

10.16489/j.issn.1004-1338.2026.04.001

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