Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Arild Buland"'
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
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
Autor:
Arild Buland, Odd Kolbjørnsen
Publikováno v:
GEOPHYSICS. 77:E33-E42
We have developed a Bayesian methodology for inversion of controlled source electromagnetic (CSEM) data and magnetotelluric (MT) data. The inversion method provided optimal solutions and also the associated uncertainty for any sets of electric and ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493f3ee2f7407a8ab9395988736a2602
https://doi.org/10.1190/geo2010-0298.1
https://doi.org/10.1190/geo2010-0298.1
Publikováno v:
GEOPHYSICS. 77:E21-E31
We have developed a new Bayesian methodology for use of controlled source electromagnetic (CSEM) data in prospect risking. The methodology modifies the probability for hydrocarbon presence based on the information in the CSEM data. This is done by id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4efb658db38c243bfb1f327854c3d9
https://doi.org/10.1190/geo2010-0300.1
https://doi.org/10.1190/geo2010-0300.1
Publikováno v:
Geophysical Prospecting. 60:500-515
Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4685fa620b2cf2d05b44744daf8f4a
https://doi.org/10.1111/j.1365-2478.2011.01012.x
https://doi.org/10.1111/j.1365-2478.2011.01012.x
Publikováno v:
GEOPHYSICS. 76:R15-R22
We have developed a Bayesian method for Dix inversion and illustrated it with examples from the North Sea. The method is a constrained Dix inversion in which the uncertainty of the estimated interval velocities is an integral part of the solution. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0eb98bc016bada3981e899e19019ddb
https://doi.org/10.1190/1.3552596
https://doi.org/10.1190/1.3552596
Publikováno v:
GEOPHYSICS. 75:B73-B82
We have performed lithology/fluid inversion based on prestack seismic data and well observations from a gas reservoir offshore Norway. The prior profile Markov random field model captures horizontal continuity and vertical sequencing of the lithology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4db58ac63c598804f5199cd2262ff44
https://doi.org/10.1190/1.3335332
https://doi.org/10.1190/1.3335332
Publikováno v:
GEOPHYSICS. 75:O9-O19
Predrill assessment of the probability that a potential drilling spot holds hydrocarbons (HC) is of vital importance to any oil company. Of equally great value is the assessment of hydrocarbon volumes and distributions. We have developed a methodolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53aade627b21189dcf78764507835255
https://doi.org/10.1190/1.3339678
https://doi.org/10.1190/1.3339678
Publikováno v:
GEOPHYSICS. 73:C13-C21
A fast Bayesian inversion method for 3D lithology and fluid prediction from prestack seismic data, and a corresponding feasibility analysis were developed and tested on a real data set. The objective of the inversion is to find the probabilities for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac79104dbdf7005417807f62550d15c5
https://doi.org/10.1190/1.2842150
https://doi.org/10.1190/1.2842150
Publikováno v:
GEOPHYSICS. 72:C71-C79
AVO analysis can be conducted by estimating amplitude variation with offset (AVO) attributes from seismic prestack data and by characterizing the measured amplitude responses by the position of their projection in the attribute space. The most common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a4004fe5663340e3d3af4113a89c699
https://doi.org/10.1190/1.2712176
https://doi.org/10.1190/1.2712176