J4 ›› 2011, Vol. 41 ›› Issue (3): 907-914.

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Internal Multiples Prediction Based on CFP Approach and Curvelet Domain Subtraction

WANG De-li1, DANG Dan1|LIU Wei-ming2, ZHANG Ya-hong3   

  1. 1.College of GeoExploration Science and Technology|Jilin University|Changchun130026, China;
    2.Research Institute of Petroleum Exploration and Development-Northwest Petrochina|Lanzhou730020, China;
    3.SINOPEC Geophysical Research Institute|Nanjing210014, China
  • Received:2010-06-10 Online:2011-05-26 Published:2011-05-26

Abstract:

Internal multiple elimination method has been studied based on the conventional surface related multiple elimination (SRME) using Common-Focus-Point (CFP)gathers instead of shots gathers. Noisy data results prove the ability of the method. We use muted CFP gather instead of common shot gather in the traditional surface related multiple elimination approach to predict internal multiples related to a target layer. At the matching and subtraction step, the curvelet based on thresholding algorithm is applied. The comparison of the results from curvelet thresholding and direct subtraction shows that the former method provides a better result.

Key words: noise abatement, CFP gathers, internal multiple elimination, Curvelet threshold

CLC Number: 

  • P631.4
[1] DONG Lie-qan, LI Zhen-chun, LIU Lei, LI Zhi-na, SANG Yun-yun. A Method of Curvelet Threshold Denoising Based on Empirical Mode Decomposition [J]. J4, 2012, 42(3): 838-844.
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