Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Daniel Busby"'
Publikováno v:
Computational Geosciences. 26:1065-1100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9467774b6f1ae7a7ac8b02b0a77a8f2
https://doi.org/10.1007/s10596-022-10146-6
https://doi.org/10.1007/s10596-022-10146-6
Publikováno v:
Computers & Geosciences. 162:105085
In this work, we investigate the capacity of Generative Adversarial Networks (GANs) in interpolating and extrapolating facies proportions in a geological dataset. The new generated realizations with unrepresented (aka. missing) proportions are assume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d0be0eaeabbab03fd2dd7176c33be6
https://doi.org/10.1016/j.cageo.2022.105085
https://doi.org/10.1016/j.cageo.2022.105085
Publikováno v:
ECMORXVII: 17 th European Conference On The Mathematics Of Oil Recovery
ECMORXVII: 17 th European Conference On The Mathematics Of Oil Recovery, Sep 2020, Online, France
HAL
ECMORXVII: 17 th European Conference On The Mathematics Of Oil Recovery, Sep 2020, Online, France
HAL
Summary Classical reservoir engineering studies require building geological models and solving complex fluid flow transport equations that require high-quality data, numerous computational resources, time and workflows. For large and mature fields da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f44b45c2c9dffc2cf1535842582204d
https://hal.archives-ouvertes.fr/hal-03008325
https://hal.archives-ouvertes.fr/hal-03008325
Publikováno v:
Day 4 Thu, November 16, 2017.
Well placement optimization is probably one of the most challenging problems the oil & gas industry has to face particularly for green fields development. The complexity of the task comes from different factors: huge number of possible solutions, inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b69b64d304f50882694865f89ea6f9
https://doi.org/10.2118/188265-ms
https://doi.org/10.2118/188265-ms
Autor:
Samir Touzani, Daniel Busby
Publikováno v:
Oil & Gas Science and Technology, Vol 69, Iss 4, Pp 619-632 (2014)
Screening method using the derivative-based global sensitivity indices with application to reservoir simulator} Reservoir simulator can involve a large number of uncertain input parameters. Sensitivity analysis can help reservoir engineers focusing o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::579da126d9de0528452ae1a4ff907b37
https://doi.org/10.2516/ogst/2013195
https://doi.org/10.2516/ogst/2013195
Autor:
Hans Boot, Arnt Grøver, Nicolas Maurand, Daniel Busby, Dan Bossie Codreanu, M. Nepveu, Dag Wessel-Berg, Alv-Arne Grimstad, Jens Wollenweber, Ton Wildenborg, A. Lothe, Francois Wahl, Szczepan Polak, D. Sijacic
Publikováno v:
Energy Procedia. 37:4825-4832
In this paper an integrated workflow is described for risk assessment within CCS. IFPEN, SINTEF and TNO joined forces to define a comprehensive and transparent risk assessment methodology. The tools developed in these institutes are thereby integrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6789480ee4ce92a56b577cc3df28fda2
This paper proposes a hierarchical nonlinear approximation scheme for scalar-valued multivariate functions, where the main objective is to obtain an accurate approximation with using only very few function evaluations. To this end, our iterative meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff136a47d090442bcf56db5aa10b5758
https://ora.ox.ac.uk/objects/uuid:bbb3182d-7df8-4ea0-8a0c-51185093cb6b
https://ora.ox.ac.uk/objects/uuid:bbb3182d-7df8-4ea0-8a0c-51185093cb6b
Publikováno v:
SPE Reservoir Evaluation & Engineering. 12:724-736
Summary One of the main concerns in the oil and gas business is generating reliable reservoir hydrodynamics forecasts. Such profiles are the cornerstones of optimal technico-economical management decisions. A workflow combining different methods to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f90521c6c7d0a72eef5904a70d32d48e
https://doi.org/10.2118/113498-pa
https://doi.org/10.2118/113498-pa
Autor:
Daniel Busby
Publikováno v:
Reliability Engineering & System Safety. 94:1183-1193
Large computer simulators have usually complex and nonlinear input output functions. This complicated input output relation can be analyzed by global sensitivity analysis; however, this usually requires massive Monte Carlo simulations. To effectively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88fc08abfeff1e5d07ef047db01bea2b
https://doi.org/10.1016/j.ress.2008.07.007
https://doi.org/10.1016/j.ress.2008.07.007
Publikováno v:
Computational Geosciences
Computational Geosciences, Springer Verlag, 2014, 18 (3-4), pp.519-533. ⟨10.1007/s10596-014-9420-4⟩
Computational Geosciences, Springer Verlag, 2014, 18 (3-4), pp.519-533. ⟨10.1007/s10596-014-9420-4⟩
International audience; We propose a workflow for decision making under uncertainty aiming at comparing different field development plan scenarios. The approach applies to mature fields where the residual uncertainty is estimated using a probabilisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c5754a8310f83120384eb82210d1ab3
https://doi.org/10.3997/2214-4609.20143196
https://doi.org/10.3997/2214-4609.20143196