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An Adaptive Tilt Angle Filtering Based On RANSAC Algorithm

Posted on:2019-09-30Degree:MasterType:Thesis
Country:ChinaCandidate:J W WangFull Text:PDF
GTID:2480305405988279Subject:Oil and Natural Gas Engineering
Abstract/Summary:
On the earth’s surface,surface wave,shallow multiple reflected and refracted wave and scattering wave caused by surface stratigraphic structure,heterogeneity and rough terrain are important factors to influence and reduce the signal to noise ratio of seismic data.Surface noise attenuation method has always been a fundamental and important research topic in the field of oil and gas seismic exploration.It is of practical significance and practical value to develop adaptive F-K tilt filter for surface linear noise.Based on the analysis of the causes and characteristics of the surface linear noise,this paper introduces the Ransac algorithm into the F-K dip filtering method,develops the adaptive recognition of the linear noise in the T-X domain and the adaptive discriminant method of the F-K domain dip filter band and programs software aimed at the disadvantages of the conventional F-K dip filtering method.the advantages and disadvantages of the method are summarized by comparing with the application results of conventional methods using synthetic and measured seismic data.The following conclusions are drawn:(1)The spectrum of the surface linear noise overlaps with the signal spectrum.The excellent noise attenuation method should keep the frequency of the signal as much as possible while eliminating the noise.(2)Adaptive recognition method for linear noise visual velocity(tilt)recognition in the T-X domain based on the Ransac algorithm can efficiently and accurately identify the velocity of linear noise under the condition of a given search region and a search speed interval.(3)The F-K domain dip filtering band adaptive discriminant method can automatically determine the dip filter band limit and overcome the Gibbs phenomenon in the conventional method.It has obvious advantages in terms of attenuation of linear noise overlapping with signal spectrum.
Keywords/Search Tags:Linear noise of near ground surface, Self-adaption, F-K tilt angle filtering, RANSAC
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