Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Ragnar Hauge"'
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7426ce4638dc79caaee1f4f23dd809b7
https://doi.org/10.1190/image2022-3745774.1
https://doi.org/10.1190/image2022-3745774.1
Producing geologically reasonable subsurface reservoir models which also honor wellbore and seismic data is still a major challenge for geoscientists at a range of energy and mining industries. Models based purely on geostatistics usually don’t sat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aacf287cd0a0463987c251a5b88f7d7
https://doi.org/10.5194/egusphere-egu22-9355
https://doi.org/10.5194/egusphere-egu22-9355
Publikováno v:
SEG Technical Program Expanded Abstracts 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34640f02475817a3f16e0a0a1015869
https://doi.org/10.1190/segam2020-3427378.1
https://doi.org/10.1190/segam2020-3427378.1
Publikováno v:
R207-R221
Geophysics
Geophysics
We have developed an efficient methodology for Bayesian prediction of lithology and pore fluid, and layer-bounding horizons, in which we include and use spatial geologic prior knowledge such as vertical ordering of stratigraphic layers, possible lith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::779cf45a1ba762d62169fd940976774a
http://hdl.handle.net/10852/78245
http://hdl.handle.net/10852/78245
Publikováno v:
Computers & Geosciences. 93:63-69
Rock physics modelling provides tools for correlating physical properties of rocks and their constituents to the geophysical observations we measure on a larger scale. Many different theoretical and empirical models exist, to cover the range of diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6f4995243569ec892729d696d063c0
https://doi.org/10.1016/j.cageo.2016.04.011
https://doi.org/10.1016/j.cageo.2016.04.011
Autor:
Arild Buland, Richard William Metcalfe, Øyvind Skjæveland, Per R⊘e, Martin Jullum, Ragnar Hauge, Odd Kolbj⊘rnsen
Publikováno v:
The Leading Edge. 35:431-436
The spatial structure of the subsurface is an important factor when interpreting seismic data. The Bayesian methodology is a valuable tool for integrating these spatial relations in the inversion process as it merges the information together and asse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e67241f8b57149924569d0971098400
https://doi.org/10.1190/tle35050431.1
https://doi.org/10.1190/tle35050431.1
Publikováno v:
Mathematical Geosciences. 48:233-257
The optimal design of data acquisition is not obvious in Bayesian network models. The dependency structure may vary dramatically, which makes learning and information evaluation complicated and sometimes non-intuitive. The motivation for working on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aac5d9d9c199d287f305faf2eccd82b3
https://doi.org/10.1007/s11004-015-9616-8
https://doi.org/10.1007/s11004-015-9616-8
Autor:
Ragnar Hauge, Per Røe
Publikováno v:
Computational Geosciences. 20:453-460
Corner point grids is currently the standard grid representation for use in reservoir simulation. The cell faces in corner point grids are traditionally represented as bilinear surfaces where the edges between the corner points all are straight lines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2e3ff2fea9d2c853ac896f978c8d5e4
https://doi.org/10.1007/s10596-015-9500-0
https://doi.org/10.1007/s10596-015-9500-0
Autor:
Ragnar Hauge
Publikováno v:
Rus & samfunn. 9:47-50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c078bed0e87e390eee4870416b66309f
https://doi.org/10.18261/issn1501-5580-2015-02-19
https://doi.org/10.18261/issn1501-5580-2015-02-19