Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (4): 1228-1239.doi: 10.13278/j.cnki.jjuese.20190216

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Summary of Microseismic Location Methods

Da Shujin1,2, Li Xuegui1,3, Dong Hongli1,2, Li Hanyang1,2   

  1. 1. Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing 163318, Heilongjiang, China;
    2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Daqing 163318, Heilongjiang, China;
    3. College of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, Heilongjiang, China
  • Received:2019-10-12 Published:2020-07-29
  • Supported by:
    Supported by National Natural Science Foundation of China (61873058),PetroChina Innovation Foundation (2018D-5007-0302),Heilongjiang Natural Science Foundation (F2018005),Heilongjiang Post-Doctoral Assistance (LBH-Z18045),Excellent Young and Middle-Aged Innovation Team Foundation of Northeast Petroleum University (KYCXTD201903) and Youth Science Foundation of Northeast Petroleum University (2019QNL-56)

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Abstract: Microseismic positioning method is a core technology in the field of microseismic monitoring, and the criterion to consider the application effect of microseismic technology lies in the accuracy of the source positioning method. Given the application of unconventional oil and gas development in microseismic positioning, the authors expound on the microseismic positioning methods. Among them, the geometric mapping method has the advantages of robustness and high efficiency, but its positioning accuracy is low when the source location is deep; the linear positioning method does not need the accuracy of the velocity model, but has a great impact on the accuracy of first break pick-up; the nonlinear positioning method is more sensitive to first break picking and requires higher accuracy of the velocity model, but the calculation is small; the hybrid positioning method improves the positioning accuracy and efficiency to a certain extent, but the advantages are not obvious when the signal-to-noise ratio is low,and the speed model precision is not high; the positioning method based on waveform migration does not need to consider the precision of first break pick-up, but the calculation is large; the positioning method based on neural network using training network training is highly accurate, and the error is small. The authors also discuss the application of multi-method and multi-parameter information fusion technology in microseismic location of oil and gas reservoir.

Key words: microseismic, multi-information fusion, microseismic source location, unconventional oil and gas development

CLC Number: 

  • P631.4
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