Review and prospect of logging evaluation technologies for deep and ultra-deep clastic rocks
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TE122.1

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    Abstract:

    As oil and gas exploration advances to deep and ultra-deep layers,deep and ultra-deep clastic rocks face challenges such as complex wellbores and low signal-to-noise ratio of logging data under complex mud systems,which puts forward higher requirements for logging evaluation technology. To this end,we have extensively investigated the literature,systematically summarized the concept,classification standard,and geological characteristics of deep and ultra-deep clastic rocks,and sorted out the logging evaluation technologies of deep and ultra-deep clastic rocks in recent years. We have clarified that the research on rock physical properties,high-precision processing of logging data,and reservoir effectiveness evaluation are three core links.Combined with the current status of China’s deep and ultra-deep clastic rock logging technology and oilfield production needs,a forward-looking outlook on its development direction and countermeasures were made:① Deepening rock physics experimental research,focusing on the response mechanism of different fluids in acoustic-electrical-nuclear logging and high-fidelity fast testing experimental technology at the well site,expanding the experimental scope,and optimizing measurement accuracy and speed. ②Strengthening the fine processing of new logging technologies,overcoming the sensitive information compensation and correction technology of nuclear magnetic resonance and acoustic and electrical imaging logging,and developing advanced signal processing algorithms to establish error compensation models in combination with rock physics experimental results. ③ Developing interpretation and evaluation methods and technologies suitable for deep,high-temperature,and high-pressure environments,overcoming key technical issues in fluid identification and reservoir effectiveness logging evaluation under low signal-to-noise ratio conditions,and developing new methods to improve the accuracy of reservoir effectiveness evaluation.

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YUAN Long, CAO Zhifeng, BIE Kang, GU Ming, CAO Yuan, CHEN Naidong, WU Siyi, XUE Hongbo, XU Yifan. Review and prospect of logging evaluation technologies for deep and ultra-deep clastic rocks[J]. Petroleum Geology and Recovery Efficiency,2025,32(6):1~14

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History
  • Received:June 21,2024
  • Revised:October 17,2025
  • Adopted:
  • Online: December 18,2025
  • Published: