Zobrazeno 1 - 10
of 54
pro vyhledávání: '"E. Della Rossa"'
Autor:
L. Gazzola, M. Ferronato, M. Frigo, P. Teatini, C. Zoccarato, A. A. I. Corradi, M. C. Dacome, E. Della Rossa, M. De Simoni, S. Mantica
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 382, Pp 457-462 (2020)
The use of numerical models for land subsidence prediction above producing hydrocarbon reservoirs has become a common and well-established practice since the early '90s. Usually, uncertainties in the deep rock behavior, which can affect the forecast
Externí odkaz:
https://doaj.org/article/f1931bd8d2a342e99d4bdde311df3da8
Publikováno v:
ECMOR 2022.
Publikováno v:
Computational Geosciences: modeling, simulation and data analysis. 24(6)
Publikováno v:
Computational Geosciences. 20:637-653
We present a methodology that allows conditioning the spatial distribution of geological and petrophysical properties of reservoir model realizations on available production data. The approach is fully consistent with modern concepts depicting natura
Publikováno v:
Day 2 Tue, May 09, 2017.
The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real field application. We show that the predictive ability of the ensemble of models is greatly enhanced through an
Autor:
E. Della Rossa, A. Perrone
Publikováno v:
Day 3 Wed, September 16, 2015.
Typical optimization problems in reservoir management (e.g. injection rates allocation in a waterflooding project) usually involve a high number of variables to be controlled. Model-based optimization techniques can be used to seek for control strate
Autor:
F. Bottazzi, E. Della Rossa
Publikováno v:
Proceedings.
Generally computational costs of reservoir and geomechanical models can be particularly high, making uncertainty evaluation and risk assessment difficult to perform. To overcome this problem, several approximation methodologies based on surrogate mod
Publikováno v:
Scopus-Elsevier
Proceedings of the 2015 SPE Reservoir Simulation Symposium, 23-25 February 2015, Houston, Texas, SPE-173268-MS
Society of Petroleum Engineers-SPE Reservoir Simulation Symposium 2015, 2, 1343-1360
Proceedings of the 2015 SPE Reservoir Simulation Symposium, 23-25 February 2015, Houston, Texas, SPE-173268-MS
Society of Petroleum Engineers-SPE Reservoir Simulation Symposium 2015, 2, 1343-1360
We consider robust ensemble-based (EnOpt) multi-objective production optimization of on-off inflow control devices (ICDs) for a sector model inspired on a real-field case. The use of on-off valves as optimization variables leads to a discrete control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc59d35ba38b1bb440984107430464d
http://resolver.tudelft.nl/uuid:666b63bb-5c88-40f9-8b80-b5a102bb5a43
http://resolver.tudelft.nl/uuid:666b63bb-5c88-40f9-8b80-b5a102bb5a43
Publikováno v:
All Days.
Karachaganak Field, a Permo-Carboniferous carbonate platform, is a retrograde gas-condensate-oil reservoir located in the Pricaspian Basin. The field, in production since 1985, holds about 9 Bbls of oil and gas condensate and 48 Tcf of natural gas. H
Publikováno v:
Day 4 Thu, November 13, 2014.
Unexpected results during the development phase of a field, often due to geological structure and fault network limited knowledge, have a huge impact on reserves. 3D reservoir models, however, are usually built on the basis of a deterministic interpr