dc.contributor.author | Forberg, Ole Bernhard | |
dc.contributor.author | Kjøsnes, Øyvind | |
dc.contributor.author | Omre, Henning | |
dc.date.accessioned | 2022-11-16T09:50:40Z | |
dc.date.available | 2022-11-16T09:50:40Z | |
dc.date.created | 2021-12-02T16:42:46Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Geophysics. 2021, 86 (3), R331-R350. | en_US |
dc.identifier.issn | 0016-8033 | |
dc.identifier.uri | https://hdl.handle.net/11250/3032079 | |
dc.description.abstract | A Bayesian seismic amplitude versus offset (AVO) inversion scheme with a laterally coupled prior model for porosity, water saturation, and volume of clay is proposed. A 2-D section and a 3-D volume of an oil reservoir are studied. The oil reservoir is considered at the initial state, which entails gravitationally induced bimodality in the water saturations along vertical traces. A selection Gaussian random field (S-GRF) prior model, capable of representing this bimodality, is specified for porosity, water saturation, and volume of clay. The S-GRF is specified to have lateral correlation, which may reduce the impact of trace-unique signal errors in the seismic AVO data on the inversion results. The likelihood model is linear and Gaussian, for which the S-GRF prior model is conjugate; hence, the posterior model is also an S-GRF. The form of the posterior distribution is therefore known and its parameter values can be analytically computed. Real seismic AVO data from the 2-D section and the 3-D volume are inverted and the results appear to be reliable along validation wells and represent a geologically plausible reservoir design. Furthermore, a notable variance reduction in the laterally coupled posterior model relative to an alternative posterior model without lateral coupling is achieved. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Bayesian seismic amplitude variation with offset inversion for reservoir variables with bimodal spatial histograms | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.source.pagenumber | R331-R350 | en_US |
dc.source.volume | 86 | en_US |
dc.source.journal | Geophysics | en_US |
dc.source.issue | 3 | en_US |
dc.identifier.doi | 10.1109/TGRS.2021.3113865 | |
dc.identifier.cristin | 1963764 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |