Characterization of Rock Fabric and Fluid Fairway for Hydrocarbon Imprint and Lateral Prediction.

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dc.creatorRotimi, Oluwatosin J., Zhenli, Wang, Ako, Bankole D.
dc.date2015
dc.date.accessioned2025-04-01T11:12:33Z
dc.descriptionThis work made use of computed data from well logs, with migrated seismic data, to evaluate rock fabric, reservoir fluid, and lithology of an unconsolidated alluvial fan deposit. Acoustic and elastic parameters amongst other logs were computed and used to characterize the subsurface reservoir. This was done to ascertain the possibility and success of well logs derived rock physics parameters in characterizing reservoirs. With the use of soft computing methods and stochastic algorithms, the objectives of this study were achieved. Results were presented in maps and model volumes. Lambda, Mu, Rho, and SP logs were the main inputs in the characterization based on both their individual potential and an integrated convolved potential. Filtered zones identified on cross-plot were applied to simulated volumes of LambdaRho and MuRho, gave good account of its ability to discriminate rock and fluid distribution. RGB visualization tool applied to the models gave a volume that was used to condition litho-units simulation with commendable results.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/9660/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/38917
dc.languageen
dc.subjectQC Physics, QE Geology, TP Chemical technology
dc.titleCharacterization of Rock Fabric and Fluid Fairway for Hydrocarbon Imprint and Lateral Prediction.
dc.typeArticle

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