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Seismic Attributes And Its Application To Real Data

Posted on:2011-01-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:T Q ZhangFull Text:PDF
GTID:1100360302993117Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
The goal of seismic exploration is to find subsurface reserviors, and the seismic attributes can be used to characterize geologic characteristics associated with reservoirs. Seismic attributes reflect different types of physical property. The goal of research on and analysis of seismic attributes is to find some seismic attributes, which are directly/indirectly related to the desired geologic feature or reservoir property of interest.Chapman'model is a frequency-dependent poroelastic theory. The theory predicts that the elastic coefficients change with frequency. I did some research on MP method in order to anslyze the frequency-dependent property. I made a model of four layers, and the property target layers in this model was calculated on the basis of Chapman'theory, then computed synthetic seismic data for this model. Using MP to decompose the synthetic data, the results show that the erergy of amplitudes vary with frequency. I derived a frequency-dependent seismic attributes, which can be used as a indicator of hydrocarbon distribution.Curvature is an important seismic attribute. I propose a new approach way to calculate the curvature. My approach is derived from coherence algorithm. It is straightforward and easily implemented. Using the filtered seismic data, curvatures of different scales can be obtained. Curvatures of different scales reflect geological feactures of different sizes, and provide more information for seismic interpretation. The combination of curvature and AVO can result in a robust interpretation for fracture.The technique of processing converted wave is a new outcome of seismic anisotropy theory. Converted wave imaging is complementary to P wave imaging in some area.
Keywords/Search Tags:Seismic attributes, rock physics, time-frequency decomposition, curvature, convert wave
PDF Full Text Request
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