Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea
Several shear-wave velocity (Vs) prediction models have been tested on wireline log data at Norne Field in the Norwegian Sea. A genetic algorithm was used to invert P-wave velocity (Vp) for the elastic parameters using the Krief, Self-consistent (SC), and Differential Effective Medium (DEM) models....
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ftunivhouston:oai:uh-ir.tdl.org:10657/535 2023-05-15T17:25:05+02:00 Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea Ringo, Tommy 1984- Chesnokov, Evgeni M. Stewart, Robert R. Sayers, Colin August 2012 application/pdf born digital http://hdl.handle.net/10657/535 eng eng http://hdl.handle.net/10657/535 The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). Shear wave velocity Sonic logs Genetic algorithms Geophysics Thesis Text 2012 ftunivhouston 2022-10-29T22:07:56Z Several shear-wave velocity (Vs) prediction models have been tested on wireline log data at Norne Field in the Norwegian Sea. A genetic algorithm was used to invert P-wave velocity (Vp) for the elastic parameters using the Krief, Self-consistent (SC), and Differential Effective Medium (DEM) models. The inverted shear moduli were then used to predict Vs. Using this method, the Krief method provided the best match of the effective medium models to the measured Vs. Error analysis shows that the predicted Vs is largely correlated with Vp, density, and porosity. Higher Vp, higher density, and lower porosity tend to produce the largest prediction error. These predictions were compared to other well-established Vs prediction models and the effect of these predictions on AVO modeling was investigated. It is shown that the AVO response begins to show noticeable difference at small Vs errors. For example, the DEM prediction at the oil saturated well had a 6.8% error from the measured Vs at the AVO modeled interval, and AVO mismatch begins at around 15 degrees offset. At the brine saturated well, the Krief, Greenberg-Castagna, and Raymer-Hunt-Gardner (RHG) Vs predictions provided the closest match to the true AVO model while at the oil saturated well, the Krief, RHG, and Han Vs predictions provided the best match to the true AVO model. Earth and Atmospheric Sciences, Department of Thesis Norne field Norwegian Sea University of Houston Institutional Repository (UHIR) Gardner ENVELOPE(65.903,65.903,-70.411,-70.411) Norwegian Sea |
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Open Polar |
collection |
University of Houston Institutional Repository (UHIR) |
op_collection_id |
ftunivhouston |
language |
English |
topic |
Shear wave velocity Sonic logs Genetic algorithms Geophysics |
spellingShingle |
Shear wave velocity Sonic logs Genetic algorithms Geophysics Ringo, Tommy 1984- Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
topic_facet |
Shear wave velocity Sonic logs Genetic algorithms Geophysics |
description |
Several shear-wave velocity (Vs) prediction models have been tested on wireline log data at Norne Field in the Norwegian Sea. A genetic algorithm was used to invert P-wave velocity (Vp) for the elastic parameters using the Krief, Self-consistent (SC), and Differential Effective Medium (DEM) models. The inverted shear moduli were then used to predict Vs. Using this method, the Krief method provided the best match of the effective medium models to the measured Vs. Error analysis shows that the predicted Vs is largely correlated with Vp, density, and porosity. Higher Vp, higher density, and lower porosity tend to produce the largest prediction error. These predictions were compared to other well-established Vs prediction models and the effect of these predictions on AVO modeling was investigated. It is shown that the AVO response begins to show noticeable difference at small Vs errors. For example, the DEM prediction at the oil saturated well had a 6.8% error from the measured Vs at the AVO modeled interval, and AVO mismatch begins at around 15 degrees offset. At the brine saturated well, the Krief, Greenberg-Castagna, and Raymer-Hunt-Gardner (RHG) Vs predictions provided the closest match to the true AVO model while at the oil saturated well, the Krief, RHG, and Han Vs predictions provided the best match to the true AVO model. Earth and Atmospheric Sciences, Department of |
author2 |
Chesnokov, Evgeni M. Stewart, Robert R. Sayers, Colin |
format |
Thesis |
author |
Ringo, Tommy 1984- |
author_facet |
Ringo, Tommy 1984- |
author_sort |
Ringo, Tommy 1984- |
title |
Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
title_short |
Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
title_full |
Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
title_fullStr |
Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
title_full_unstemmed |
Evaluation of Shear Wave Velocity Prediction Models at Norne Field, Norwegian Sea |
title_sort |
evaluation of shear wave velocity prediction models at norne field, norwegian sea |
publishDate |
2012 |
url |
http://hdl.handle.net/10657/535 |
long_lat |
ENVELOPE(65.903,65.903,-70.411,-70.411) |
geographic |
Gardner Norwegian Sea |
geographic_facet |
Gardner Norwegian Sea |
genre |
Norne field Norwegian Sea |
genre_facet |
Norne field Norwegian Sea |
op_relation |
http://hdl.handle.net/10657/535 |
op_rights |
The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). |
_version_ |
1766116391613628416 |