Geologic Exploration

Research and Application of Overpressure Prediction Model in Carbonate Formations

  • Chen Yunqiao ,
  • Wang Linlin ,
  • Wang Xiaolong ,
  • Xu Wen ,
  • Liu Yukun ,
  • Wan Zexin ,
  • Bao Yiyao ,
  • Cai Ningbo
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  • 1. Key Laboratory for Oil and Gas Resources and Exploration Technology (Yangtze University), Ministry of Education, Wuhan, Hubei 430100, China;
    2. Sinopec Petroleum Exploration and production Research Institutc, Beijing 100083, China;
    3. Geophysical and Geochemical Survey Institute of Hunan, Changsha, Hunan 410014, China

Received date: 2022-12-19

  Revised date: 2024-01-02

  Online published: 2024-07-26

Abstract

The prediction of overpressure in carbonate formation is a basic problem that has not been solved at home and abroad. Taking the overpressure carbonate formation in northeast Sichuan as the research object, the variation law of elastic parameters of carbonate rocks with confining pressure and pore pressure is studied through physical simulation experiments, a prediction model of overpressure in carbonate formation based on pore compressibility is proposed. The experimental results show that there is a certain correlation between the increase of porosity of carbonate rocks and the change of elastic parameters of rock samples and the increment of pore pressure, based on this, the theoretical relationship between pore compressibility, pore pressure and pore volume of rock is established, and the overpressure prediction model is derived, using density, Sonic and neutron logging data to predict the overpressure in typical drilling, the predicted results are in good agreement with the measured pressure, the new overpressure prediction model provides a new idea for overpressure prediction of carbonate formation.

Cite this article

Chen Yunqiao , Wang Linlin , Wang Xiaolong , Xu Wen , Liu Yukun , Wan Zexin , Bao Yiyao , Cai Ningbo . Research and Application of Overpressure Prediction Model in Carbonate Formations[J]. Special Oil & Gas Reservoirs, 2024 , 31(2) : 76 -83 . DOI: 10.3969/j.issn.1006-6535.2024.02.009

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