Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (3): 76-85.doi: 10.12108/yxyqc.20190309

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Fracture identification for tight reservoirs by conventional and imaging logging: a case study of Permian Lucaogou Formation in Jimsar Sag,Junggar Basin

LIU Dongdong1,2, YANG Dongxu1,2, ZHANG Ziya3, ZHANG Chen1,4, LUO Qun1,2, PAN Zhankun1,2, HUANG Zhixin1,2   

  1. 1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, China;
    2. Unconventional Petroleum Research Institute, China University of Petroleum(Beijing), Beijing 102249, China;
    3. Oil & Gas Survey, China Geological Survey, Beijing 100029, China;
    4. College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2018-10-26 Revised:2019-01-20 Online:2019-05-21 Published:2019-05-06

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Abstract: Well logging is widely used in identifying fractures in conventional reservoirs. However, this approach is rarely used in analyzing fractures in tight reservoirs. The fractures in the tight reservoir of Lucaogou Formation in Jimusar Sag were identified and quantitatively characterized by conventional logging and imaging logging methods, the response characteristics of conventional logging to fractures were systematically summarized, the fracture genesis were analyzed by using imaging logging data, and the development of the upper and lower sweet spots were compared. The results show that the conventional porosity logging is most applicable for identifying natural fractures in tight reservoirs, resistivity logging is also usable, and lithologic logging is poorly effective. In fracture developed zones, the natural gamma value is more than 70 API, the shallow resistivity is generally less than 80 Ω·m, the volume density of rock is less than 2.43 g/cm3, the neutron porosity is more than 28%, and the acoustic acoustic moveout is more than 246 μs/m. The imaging logging has different response characteristics to different fillers. According to the different imaging logging characteristics, the block, strip, linear and other imaging logging models were proposed. The natural fractures in the upper and lower sweet spots have similar dip direction, mechanical origin, and total linear density, though the fractures in the lower sweet spot display relatively larger width and develop more concentrated. These results are of great significance for the identification and evaluation of natural fractures in tight reservoirs.

Key words: conventional logging, imaging logging, identification of fractures, tight reservoirs, Lucaogou Formation, Junggar Basin

CLC Number: 

  • P631.8+4
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