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Opening New Opportunities With Fast Reservoir-Performance Evaluation Under Uncertainty: Brugge Field Case Study

Autor: Sonia Mariette Embid Droz, David Echeverria-Ciaurri, Ruben Rodriguez Torrado, Ulisses T. Mello

Publikováno v: SPE Economics & Management. 7:84-99

SummaryDecision making under uncertainty can be quite challenging, especially when complex numerical simulations are considered in the work flow and the decision has to be made relatively fast (e.g., in hours). This is the case when one needs to rank

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3226aa9f04f344c132863660ac996c6d
https://doi.org/10.2118/166392-pa

Porosity and permeability estimation by integration of production and time-lapse near and far offset seismic data

Autor: Mohsen Dadashpour, David Echeverria-ciaurri, Martin Landrø, Jon Kleppe

Publikováno v: Journal of Geophysics and Engineering. 6:325-344

This study presents a method based on the Gauss–Newton optimization technique for continuous reservoir model updating with respect to production history and time-lapse seismic data in the form of zero offset amplitudes and amplitude versus offset (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::708f5abd04f660a5f0f685948a6c1e7f
https://doi.org/10.1088/1742-2132/6/4/001

Two new variants of the manifold‐mapping technique

Autor: David Echeverria

Publikováno v: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 26:334-344

PurposeManifold‐mapping (MM) is an efficient surrogate‐based optimization technique aimed at the acceleration of very time‐consuming design problems. In this paper we present two new variants of the original algorithm that make it applicable to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::253d493a2e0550350274fa8807ac3770
https://doi.org/10.1108/03321640710727692

Optimisation in electromagnetics with the space-mapping technique

Autor: Piet Hemker, Djp Lahaye, David Echeverria, L Laurentiu Encica

Publikováno v: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 24(3), 952-966. Emerald Group Publishing Ltd.

PurposeOptimisation in electromagnetics, based on finite element models, is often very time‐consuming. In this paper, we present the space‐mapping (SM) technique which aims at speeding up such procedures by exploiting auxiliary models that are le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ee887624a42442e71dc6a50fdef94e
https://doi.org/10.1108/03321640510598265