Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (2): 127-134.doi: 10.12108/yxyqc.20210213

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Application of seismic and microseismic data fusion technology in postfracturing evaluation of shale oil reservoir

DU Jinling1, LIN He1, JI Yongjun2, JIANG Hong2, XU Wenli1, WU Shunwei3   

  1. 1. New Resources Geophysical Exploration Division, Bureau of Geophysical Prospecting Inc., CNPC, Zhuozhou 072751, Hebei, China;
    2. Development Company, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China;
    3. Research Institute of Exploration and Development, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China
  • Received:2020-06-10 Revised:2020-08-10 Published:2021-03-31

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Abstract: Shale oil is a key point of unconventional oil and gas exploration and development in recent years,and its exploration and development are characterized by high risk,high investment and high difficulty. In order to maximize the economic benefits of a single well,it is necessary for multidisciplinary personnel to cooperate to improve the identification ability of sweet spots. 3D seismic can be used to predict reservoir in space,and microseismic monitoring results can be used to directly evaluate the effect of hydraulic fracturing, so the fusion technology of micro-seismic and 3D seismic data can improve the prediction accuracy of sweet spots. Based on the fusion of surface seismic attributes and micro-seismic results,combined with oil and gas productivity,the main factors affecting oil and gas productivity were analyzed. The results show that the properties of coherence value,ant body, amplitude, brittleness and horizontal stress difference are directly related to the shape of artificial fracture network in Jimsar Sag,which can affect the effect of reservoir stimulation. Based on the sweet spots identification method of multi-attributes fusion,the areas with low coherence value,weak amplitude,high brittleness and low horizontal stress difference was optimized,and the study area was divided into three types of sweet spots areas. The research results can provide a basis for well trajectory optimization and the optimized project design for reservoir stimulation.

Key words: shale oil, microseismic, 3D seismic, attribute fusion, Jimsar Sag

CLC Number: 

  • TE357.1
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