Volume 51 Issue 6
Jun.  2023
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WANG Zhiwei，ZHANG Kai，WU Qunhu，et al. A method for predicting fractures in carbonate reservoirs based on fracture identification-sensitive log-seismic parameter model[J]. Coal Geology & Exploration，2023，51(6)：163−174. DOI: 10.12363/issn.1001-1986.22.10.0819
Citation: WANG Zhiwei，ZHANG Kai，WU Qunhu，et al. A method for predicting fractures in carbonate reservoirs based on fracture identification-sensitive log-seismic parameter model[J]. Coal Geology & Exploration，2023，51(6)：163−174. DOI: 10.12363/issn.1001-1986.22.10.0819
shu

A method for predicting fractures in carbonate reservoirs based on fracture identification-sensitive log-seismic parameter model

  • 1.

    School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China

  • 2.

    Haiyang Oil Production Plant, Shengli Oilfield Sub-Company, SINOPEC, Dongying 257237, China

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  • Received Date: October 13, 2022
  • Revised Date: May 14, 2023
  • Available Online: May 24, 2023
    Graphical Abstract
    • Abstract

  • Carbonate reservoirs show fractures and strong heterogeneity, leading to limited applications of a single logging or seismic method in fracture identification. Therefore, this study proposed a method for predicting fractures in carbonate reservoirs based on a fracture identification-sensitive log-seismic parameter (FISLSP) model, and the details are as follows: (1) Based on petrophysical analysis results, as well as formation micro-imaging (FMI) logs and the interpretations of fractures at well locations, this study established a segmental fracture identification-sensitive parameter (FISP) model for fractures at well locations; (2) Using the optimal seismic attributes of near-well seismic traces determined based on the high-quality fractured reservoirs classified according to geological and log interpretation results, this study constructed a FISP model based on the seismic attributes of near-well seismic traces (FISPSA); (3) Using logs combined with seismic attributes, this study established the technology roadmap, method, and procedure for reservoir fracture prediction based on a FISLSP model, achieved the 3D seismic prediction of fractures, and developed a FISLSP model-based 3D seismic fracture prediction method, which applies to buried-hill carbonate oil reservoirs. This method was applied to the prediction of fractures in the Chengdao buried-hill reservoirs of the Shengli Oilfield in the Bohai Bay Basin. The predicted results were consistent with fractures revealed through drilling, indicating that the new method is feasible. The results of this study warrant wide application to the fracture detection of similar buried-hill reservoirs.

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