<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

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

AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Krakow, Poland

Studia Geotechnica et Mechanica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Acoustic inversion is useful to extract information from seismic data. Inhomogeneities of salt deposits should be predicted before the decision of underground...

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

Published Online: Nov 17, 2015

Page range: 41 - 48

DOI: https://doi.org/10.1515/sgem-2015-0031

Keywords
underground storage, acoustic impedance, salt deposit, inhomogeneity detection, noise

© by Ewa Kawalec-Latała

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Nov 17, 2015

Page range: 41 - 48

DOI: https://doi.org/10.1515/sgem-2015-0031

Keywordsunderground storage, acoustic impedance, salt deposit, inhomogeneity detection, noise

© by Ewa Kawalec-Latała

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
underground storage, acoustic impedance, salt deposit, inhomogeneity detection, noise