Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (1): 122-129.doi: 10.12108/yxyqc.20190114

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Weighted MPFI method and its application in 3D joint processing

XU Xingrong1, SU Qin1, WANG Jinsong2, KOU Longjiang1, WEN Yihua2, WANG Jing1   

  1. 1. PetroChina Research Institute of Petroleum Exploration & Development-Northwest, Lanzhou 730020, China;
    2. Research Institute of Exploration and Development, PetroChina Tuha Oilfield Company, Hami 839009, Xinjiang, China
  • Received:2018-09-10 Revised:2018-12-18 Online:2019-01-18 Published:2019-01-18

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Abstract: Conventional regularization methods based on the theories of MPFI,ALFT,Low-Rank and MWNI either cannot effectively overcome spatial aliasing,or cannot satisfy the linear assumption,therefore,they are not effective to achieve fidelity regularization in three-dimensional multi-block joint processing with different acquisition parameters. On the basis of conventional MPFI algorithm,the low-frequency spectrum without false frequency was weighted as prior information,the weighted MPFI data interpolation was realized,and the regularization method was established. The results show that compared with the conventional MPFI method,this method can effectively overcome the spatial aliasing and realize three-dimensional multi-block regularization joint processing. Moreover,it does not add additional geological information,but improves the spatial sampling properties of the observation system to some extent,and has a higher fidelity than the conventional regularization method. The accuracy,validity and adaptability to field seismic data of this method were verified by trial calculation of forward model and field seismic data.

Key words: matching pursuit, Fourier transform, data interpolation, regularization, weighted MPFI

CLC Number: 

  • P631.4
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