Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Gaétan Bardy"'
Publikováno v:
Journal of Petroleum Science and Engineering
Journal of Petroleum Science and Engineering, Elsevier, 2019, 176, pp.116-125. ⟨10.1016/j.petrol.2019.01.035⟩
Journal of Petroleum Science and Engineering, Elsevier, 2019, 176, pp.116-125. ⟨10.1016/j.petrol.2019.01.035⟩
International audience; Underground fluid flow in hydrocarbon reservoirs (or aquifers) is difficult to predict accurately due to geological and petrophysical uncertainties. To quantify that uncertainty, several spatial statistical methods are often u
Autor:
Gaétan Bardy, Pierre Biver
Publikováno v:
Mathematics of Planet Earth: Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences
Eulogio Pardo-Igúzquiza; Carolina Guardiola-Albert; Javier Heredia; Luis Moreno-Merino; Juan José Durán; Jose Antonio Vargas-Guzmán. Mathematics of Planet Earth: Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Springer, pp.643-646, 2014, Lecture Notes in Earth System Sciences, 978-3-642-32407-9
Lecture Notes in Earth System Sciences ISBN: 9783642324079
Eulogio Pardo-Igúzquiza; Carolina Guardiola-Albert; Javier Heredia; Luis Moreno-Merino; Juan José Durán; Jose Antonio Vargas-Guzmán. Mathematics of Planet Earth: Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Springer, pp.643-646, 2014, Lecture Notes in Earth System Sciences, 978-3-642-32407-9
Lecture Notes in Earth System Sciences ISBN: 9783642324079
In this paper, we will present a two-step methodology to efficiently select a subset of models representative of the variety of dynamic behaviors for a large set of models. We will use different proxies to quickly approximate the flow simulator respo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a9f58ac8fe6e3e669fd05cda445ccb
https://hal.univ-lorraine.fr/hal-01963885
https://hal.univ-lorraine.fr/hal-01963885