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Studies On Seismic Reflectivity Signature Of Glutenite Body In Steep Slope Zone

Posted on:2009-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:L Y LiuFull Text:PDF
GTID:2120360245999722Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Glutenite reservoir in steep slope zone has great exploration potential. Because of specialsedimentary tectonic setting of steep slope zone,the distribution of glutenite fans and thecharacteristics of reservoir formation are different from other kinds of reservoir。We candemarcate and interpret glutenite from the seismic sections, but could not determine thereservoir nature and the properties of the fan. According to the known glutenite reservoir, wesummarized the reservoir formation rules and exploration method of small turbidite fan,which has significant deployment sense for guiding similar fan exploration in steep slopezone. Based on the geology, logging and seismic data in the north zone of Chezhen ,startingfrom the actual data with seismic reflectivity signature of wave kinematics and dynamics, thispaper analyzed the geological and seismic feature of glutenite body in steep slope zone, andaccessed the type of fans, as well as the feature and distribution of various fans. Then weestablished the model of the glutenite body in steep slope zone, and gained the seismicresponse of the glutenite theoretical model using wave equation imaging method. Through theanalysis of the model seismic response, we acquired seismic reflectivity signature under thecondition of different sedimentation and the effect of reservoir parameters on seismicreflectivity signature. Then we made impedance inversion on the seismic data of typical fanand the forward results of the built models. On this basis, we analyzed the relationshipbetween the results of the inversion and the different glutenite body, and obtainedcorresponding feature of the inversion of the different lithology in subfacies. Variousattributions were extracted and analyzed from the typical seismic data. Then we selected theseismic attributions which can reflect different fans and gained the feature of seismicattributions using various analysis methods. Through the pattern recognition of various typesof fan established by above quantitative or semi-quantitative analysis methods, we can discriminate reservoir properties of the fan and establish the methods of seismic feature ofglutenite. It built the foundation for the exploration of glutenite.
Keywords/Search Tags:Glutenite body in steep slope zone, Geological modeling, Seismic reflectivity signature, Seismic inversion, Seismic attribution analysis, Pattern recognition
PDF Full Text Request
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