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Seismic Fine Difference Analysis And Research On Attribute Fusion Method

Posted on:2019-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2370330599963832Subject:Geophysics
Abstract/Summary:PDF Full Text Request
In recent years,with the exploration and development of unconventional oil and gas reservoirs such as complex oil and gas reservoirs,fault block hydrocarbon reservoirs,and shale gas,faults and fractures are very important geological structural features in the development of oil and gas reservoirs,cracks,faults,and pores.Research on automatic identification and interpretation has become increasingly important in the exploration and development of oil and gas fields.In order to extract more in-depth and effective information from existing geological information and data,or to conduct oil and gas research,the application of seismic attributes has become an important method and technique for the interpretation of oil and gas reservoirs,but the accuracy of single attribute analysis is very high.To a large extent,the demand for high-precision seismic data interpretation cannot be met,and the use of attribute fusion is increasing.In seismic interpretation,when the change of horizons,lithology,and physical properties is relatively slow,it is difficult to distinguish the slowly changing lithological and physical boundaries on the coherent property.Because different lithologies have different changes in different physical properties,using this distinction,combined with the seismic attribute fusion can well distinguish the changes in different lithology properties.The research on seismic attribute fusion in this paper mainly uses RGB attribute fusion and non-subsampled Contourlet transform methods.It compares the seismic data of the two methods' attribute fusion effects,and uses the fuzzy on the basis of nonsubsampled Contourlet transform.The logic method optimizes the fusion method so that the fusion effect is further enhanced.Based on the coherent technique of C3,this dissertation optimizes the difference attributes.By referring to a gradient consistency method in image analysis,a gradient coherent coherent algorithm is obtained.By splitting and reconstructing the computational block in the C3 coherent technique,the coherent algorithm has a structural enhancement effect,and a structure-oriented coherence method is obtained.This paper also predicts the formation dip angle of the calculation block,so that the calculation of the difference attribute can eliminate the influence of the formation dip angle as much as possible,and obtain a clearer and more accurate difference attribute body.In this paper,the fractures and pores tracked by the C3 coherence and gradient consistency in the strata are optimized based on the ant body properties.The model data test confirms the validity of the method.
Keywords/Search Tags:Attribute fusion, Contourlet transform, C3 coherence, Gradient consistency, Ant tracking
PDF Full Text Request
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