Abstract
In this study, geological prior information is incorporated in the classification of reservoir lithologies using the Markov Random Field (MRF) technique. The prediction of hidden lithologies in seismic data is based on measured
observations such as seismic inversion results, which are associated with the latent categorical variables derived from the distribution of Gaussian assumptions. The Hidden Markov Random Field (HMRF) approach can connect
similar lithologies laterally (horizontally) while ensure a geologically reasonable stratigraphic (vertical) ordering. It is, therefore, able to exclude randomly appearing lithologies caused by errors in the inversion. In HMRF, the prior
information consists of a Gibbs distribution function and transition probability matrices. The Gibbs distribution connects similar lithologies and does not need a geological definition derived from non-case-related information.
The transition matrices provide preferential transitions between different lithologies and an estimation of these matrices implicitly depends on the depositional environments and juxtaposition rules between different lithologies.
observations such as seismic inversion results, which are associated with the latent categorical variables derived from the distribution of Gaussian assumptions. The Hidden Markov Random Field (HMRF) approach can connect
similar lithologies laterally (horizontally) while ensure a geologically reasonable stratigraphic (vertical) ordering. It is, therefore, able to exclude randomly appearing lithologies caused by errors in the inversion. In HMRF, the prior
information consists of a Gibbs distribution function and transition probability matrices. The Gibbs distribution connects similar lithologies and does not need a geological definition derived from non-case-related information.
The transition matrices provide preferential transitions between different lithologies and an estimation of these matrices implicitly depends on the depositional environments and juxtaposition rules between different lithologies.
Original language | English |
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Title of host publication | 80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2018 |
Event | 80th EAGE Conference and Exhibition 2018: Opportunities presented by the energy transition - Copenhagen, Denmark Duration: 11 Jun 2018 → 14 Jun 2018 Conference number: 80 https://events.eage.org/2018/EAGE%20Annual%202018 |
Conference
Conference | 80th EAGE Conference and Exhibition 2018 |
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Abbreviated title | EAGE 2018 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 11/06/18 → 14/06/18 |
Internet address |