Font Size: a A A

Research On A Surface Multiple Attenuation Method Based On Hyperbolic Radon Transform

Posted on:2013-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:X Q KongFull Text:PDF
GTID:2210330374965790Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Based on the partial normal moveout of CMP gather events, the residualmoveout events is more close to hyperbola. This paper presents the principle andmethod of surface-related multiple attenuation by the time invariant hyperbolic Radontransform.Surface-related multiple is a kind of coherent noise with strong energy in seismicdata. In marine seismic prospecting, this kind of problem is particularly outstanding.First of all, the paper introduces the multiple attenuation can be roughly divided intotwo categories: prediction and subtraction approach based on the wave theory(prediction attenuation approach) and the filter approach based on the difference innormal moveout (NMO) velocity of the multiple and primary(filter approach), andthen briefly presents the research status and development of two kinds of multipleattenuation, and emphasizes on the theories and formulas on some Radon transform.Surface-related multiple attenuation by time invariant hyperbolic Radontransform is a kind of filter approach, and this paper combines with the roughprediction of wave equation, using GPU/CPU collaborative parallel computing toaccelerate the technology to improve the computational efficiency. Throughcomparative analysis of several Radon transform and feedback iterative method basedon the theory of wave equation, verified the advantages of the time invarianthyperbolic Radon transform surface multiple attenuation method.In this paper, according to the processing and analysis for the simple analogseismic records and practical seismic records using the time invariant hyperbolicRadon transform surface-related multiple attenuation method, this method has verystrong practicability.
Keywords/Search Tags:hyperbolic Radon transform, Surface-related multiple, predictionattenuation approach, filter approach, GPU
PDF Full Text Request
Related items