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A 3D simulation stu...
A 3D simulation study for monitoring water content in a porous storage
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- Khalili, M. (författare)
- University of Eastern Finland, University of Eastern Finland
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- Göransson, Peter, 1959- (författare)
- KTH,Fordonsteknik och akustik
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- Hesthaven, J. S. (författare)
- Ecole Polytechnique Federale de Lausanne, Ecole Polytechnique Federale de Lausanne
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- Pasanen, A. (författare)
- Geological Survey of Finland, Geological Survey of Finland
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- Vauhkonen, M. (författare)
- University of Eastern Finland, University of Eastern Finland
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- Lähivaara, T. (författare)
- University of Eastern Finland, University of Eastern Finland
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(creator_code:org_t)
- European Association of Geoscientists and Engineers, EAGE, 2023
- 2023
- Engelska.
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Ingår i: 84th EAGE Annual Conference and Exhibition. - : European Association of Geoscientists and Engineers, EAGE. ; , s. 3309-3313
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- In this study, the neural network is used to estimate the amount of water stored in a porous reservoir from seismic data. To generate the training data for the neural network, a coupled poroviscoelastic-viscoelastic wave propagation model is solved using a three-dimensional (3D) discontinuous Galerkin method coupled with an Adams-Bashforth time stepping scheme. In addition, the effect of the unknown source wavelet is normalized using a deconvolution-based approach. Results indicate that the proposed neural network approach is applicable to estimate the wave content of a porous reservoir with a variety of noise amplitudes while uninteresting parameters can be successfully ignored.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)