Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (6): 102-108.doi: 10.12108/yxyqc.20190611

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Fracture effectiveness evaluation and reservoir quality classification based on electrical imaging data: a case study of Cretaceous in Yaerxia Oilfield

WU Wei1, SHAO Guanghui1, GUI Pengfei2, ZHANG Qian1, WEI Haoyuan3, LI Guoli1, REN Panliang3   

  1. 1. Research Institute of Logging Application, CNPC Logging Co., Ltd., Xi'an 710000, China;
    2. Production Logging Center, CNPC Logging Co., Ltd., Xi'an 710000, China;
    3. Research Institute of Exploration and Development, PetroChina Yumen Oilfield Company, Jiuquan 735000, Gansu, China
  • Received:2019-05-07 Revised:2019-07-10 Online:2019-11-21 Published:2019-09-28

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Abstract: K1g0 member of Yaerxia Oilfield is a fractured glutenite reservoir with fan delta front subfacies in Liubei area,Jiuquan Basin. Effective fracture is not only the main reservoir space and seepage channel,but also the main controlling factor of productivity. In order to study the validity of fracture in K1g0 member and the classification method of reservoir quality,the effects of three key parameters including fracture width,density and dip angle, on fracture validity were analyzed by using electrical imaging and production test data. Through key parameters and fracture development thickness,the fracture development degree and fracture opening degree were constructed to quantitatively characterize the effectiveness of fractures,and the quantitative evaluation charts of the above two characterization parameters and index of oil production per meter were established. The results show that the fracture development and fracture opening index can better evaluate the effectiveness of fractures in the study area, and the evaluation chart of fracture effectiveness index and reservoir oil production can carry out quantitative and rapid classification of fractured glutenite reservoir quality. The study results can provide a basis for the review of old wells and production prediction of new wells in fractured reservoirs in the study area.

Key words: electrical imaging logging, fracture effectiveness, reservoir quality, Yaerxia Oilfield, Jiuquan Basin

CLC Number: 

  • P631.8+4
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