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Study On Noise Suppression Technology In The Great Desert Area Of Tarim Basin

Posted on:2019-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y CuiFull Text:PDF
GTID:2370330599963905Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
The noise is interwoven with information about underground structures and lithology.Therefore,it is not suitable to use the field seismic data directly for geological interpretation,and it is necessary to carry out digital processing to extract useful information from it,thus providing reliable information for geological interpretation of seismic exploration.Noise suppression is an important step in digital processing.The study area is located in the Tarim basin,geological landforms are complex,surface rolling of work area,work area the surface nearly ns-trending a ribbon of sand dunes.The thick sand dunes of seismic wave attenuation,weak seismic reflection signal,single shot can meet wave,linear noise development,detection domain dune ringing development,it is difficult to suppress noise and improve signal-to-noise ratio.In this paper,a variety of noise suppression techniques are used to suppress the noise of actual seismic data.Firstly,use Swami technology to deal with the most powerful surface wave in the shot domain.After that in some area is also residue surface wave and linear noise,so transform data to cross domain,using optimized coordinate cross domain to further suppress noise and on this basis adopt the NUCNS,in order to achieve better linear noise suppression effect.Sand dunes are developed in the detection area,and use the linear correction of the detection area to suppress it.Finally to suppress random noise,the method used is the four-dimensional de-noising and OVT Tau-p method,through a variety of noise suppression technology,whether single shot or stack section,signal-to-noise ratio are improved obviously,improve the quality of the seismic data,prove the feasibility and effectiveness of the method.
Keywords/Search Tags:Tarim basin, Desert area, Noise suppression, Improve the signal-to-noise ratio
PDF Full Text Request
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