油气储层,裂缝预测,地震,岩心,测井
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,"/> <span>Progress in Fracture Predicting in Oil and Gas Reservoirs</span>

Journal of Jilin University(Earth Science Edition) ›› 2026, Vol. 56 ›› Issue (2): 469-482.doi: 10.13278/j.cnki.jjuese.20240101

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Progress in Fracture Predicting in Oil and Gas Reservoirs

中国石油吉林油田新木采油厂,吉林 松原138000#br#   

  1. Xinmu Oil Production Plant Jilin Oilfield of PetroChina, Songyuan 138000, Jilin, China
  • Online:2026-03-26 Published:2026-04-15
  • Supported by:
    Supported by the Prospective Basic Technology Research Projects of PetroChina  (2022DJ0507)

Abstract:

Fractures are crucial for improving the permeability of oil and gas reservoirs. Clarifying the distribution characteristics and development degree of reservoir fractures is of great research significance and application value for the scientific formulation of exploration and development plans for fractured oil and gas reservoirs, and for promoting the efficient development of oil and gas resources. This article systematically investigates the existing identification and prediction methods for oil and gas reservoir fractures, studies the research methods and progress of reservoir fractures, and analyzes the applicability of different reservoir fracture prediction methods. The research results indicate that seismic fracture prediction method, fractal method, curvature method, and production dynamic data prediction method can characterize the development degree of reservoir fractures in reservoir fracture identification methods, while numerical simulation of structural stress field and 3DMove simulation technology can quantitatively calculate fracture parameters. There are significant differences in the applicability of various reservoir fracture prediction methods, and it is necessary to conduct comprehensive reservoir fracture prediction research by combining the advantages of different methods to obtain more accurate fracture prediction results; The prediction results obtained by different reservoir fracture prediction methods have different accuracy and scale characteristics; Identifying and describing fracture characteristics at different scales based on different reservoir fracture recognition methods, and forming a multi method fusion prediction approach for reservoir fracture regions, well areas, and single wells, is an important research direction for future fracture studies.

Key words: oil and gas reservoirs, fracture prediction, seismic, rock core, logging

CLC Number: 

  • P618.13
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