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Research On 3D Seismic Modeling Method Based On Random Medium

Posted on:2021-10-27Degree:MasterType:Thesis
Country:ChinaCandidate:Z Z NiFull Text:PDF
GTID:2480306563486104Subject:Geophysics
Abstract/Summary:PDF Full Text Request
In recent years,3D geological data visualization technology has become a research hotspot.Visual modeling of 3D geological data can help geologists to understand the structure and properties of underground media more intuitively,so as to make more accurate analysis and interpretation.The current 3D seismic attribute modeling methods in the field of seismic exploration are mostly based on the theory of homogeneous layered media.It is assumed that the seismic attributes in the same stratum are uniform and unchanged,and small-scale random disturbances are omitted.Such models are often unable to accurately describe the actual stratum,so this paper has carried out research on 3D seismic modeling methods based on random media.This article first discusses the theory of 3D random media based on statistical principles,analyzes the characteristics of random media models built by different autocorrelation functions and the effects of various parameters in the mixed autocorrelation function on the model,and gives the use of extreme values The search method realizes the process of modeling random karst caves;then,based on the introduction of data sources and classification of 3D geological modeling,combined with 3D surface modeling methods and random media theory,3D seismic attributes based on random media are realized Modeling,and highlights its key technologies.The random disturbance in the stratum can be seen very clearly and intuitively on the established 3D random medium seismic attribute model.Finally,through forward modeling of the 3D random medium seismic attribute model,the response of the seismic wave in the 3D random seismic attribute model is discussed,and the feasibility of the 3D seismic modeling method based on random medium is verified.
Keywords/Search Tags:Stochastic medium theory, 3D geological modeling, seismic attribute model, forward modeling
PDF Full Text Request
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