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A Practical Guide to Seismic Reservoir CharacterizationPredicting Subsurface Properties from Seismic Data

A Practical Guide to Seismic Reservoir Characterization: Predicting Subsurface Properties from... [Seismic reflection data play a central role in the subsurface modelling and characterization steps of the geo-modelling workflow, as they provide exhaustive spatial information about the subsurface geology. The recorded seismic amplitudes are indirect measurements of the subsurface rock and elastic properties (e.g., porosity, volume of mineral, fluid saturations, density, P-wave and S-wave velocities) and predicting these properties from seismic amplitudes involves solving a challenging inverse problem (i.e., seismic inversion).] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Seismic Reservoir CharacterizationPredicting Subsurface Properties from Seismic Data

Part of the Advances in Oil and Gas Exploration & Production Book Series
Tylor-Jones, Timothy; Azevedo, Leonardo
Springer Journals — Jan 12, 2023
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16 pages

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. Disclaimer: The views and opinions expressed in this publication are those of the authors and do not reflect the views or positions of any entities they currently represent or have represented in the past or have professional affiliation with.
ISBN
978-3-030-99853-0
Pages
149 –165
DOI
10.1007/978-3-030-99854-7_7
Publisher site
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Abstract

[Seismic reflection data play a central role in the subsurface modelling and characterization steps of the geo-modelling workflow, as they provide exhaustive spatial information about the subsurface geology. The recorded seismic amplitudes are indirect measurements of the subsurface rock and elastic properties (e.g., porosity, volume of mineral, fluid saturations, density, P-wave and S-wave velocities) and predicting these properties from seismic amplitudes involves solving a challenging inverse problem (i.e., seismic inversion).]

Published: Jan 12, 2023

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