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Recognition of Anhydrite Intercalated Salt Deposit from Seismic Dataset Distorted by Noise Cover

Recognition of Anhydrite Intercalated Salt Deposit from Seismic Dataset Distorted by Noise

Open Access
|Nov 2015

Abstract

Acoustic inversion is useful to extract information from seismic data. Inhomogeneities of salt deposits should be predicted before the decision of underground storage location is made. The work concerns the possibility of detecting anhydrite intercalation in the rock salt from seismic dataset. The resolution strongly depends on signal to noise ratio. The synthetic pseudoacoustic impedance sections are generated for efficiency test of predictive and minimum entropy deconvolution process, when random noise distorts the seismic traces.

DOI: https://doi.org/10.1515/sgem-2015-0031 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 41 - 48
Published on: Nov 17, 2015
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Ewa Kawalec-Latała, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.