Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zeid M. Alghareeb"'
Publikováno v:
SPE Journal. 21:2128-2140
Summary Subsurface flow modeling is an indispensable task for reservoir management, but the associated computational cost is burdensome because of model complexity and the fact that many simulation runs are required for its applications such as produ
Publikováno v:
All Days.
In the traditional sequential workflow approach, the geomodeler builds static models based solely on log and core data interpretations, sometimes supplemented with geological understanding, without any dynamic data considerations. In the consequent s
Publikováno v:
All Days.
This paper presents an adaptive approach to optimize field injection strategies using streamline-based well allocations coupled with fuzzy logic. The strength of our approach comes from the fact that streamlines are generated by running full-physics
Publikováno v:
All Days.
For applications of numerical reservoir simulators such as production optimization or uncertainty assessment, hundreds or thousands of reservoir simulation runs must be performed. Such huge computational cost is a major problem in petroleum engineeri
A new robust metaheuristic optimization method, namely modified cuckoo search (MCS), is presented in this paper. MCS is inspired by breeding behavior of cuckoo birds and combined with Lèvy flight approach to efficiently search for optimal solutions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::977a4b8e66aa4db4bcdd960ba36386b6
https://cronfa.swan.ac.uk/Record/cronfa19170
https://cronfa.swan.ac.uk/Record/cronfa19170
Autor:
John R. Williams, Zeid M. Alghareeb
Publikováno v:
Day 2 Tue, October 01, 2013.
Reduced-order models (ROM) are considered powerful techniques to address computational challenges associated with reser-voir management decision-making. In this sense, they represent perfect alternatives that trade off accuracy for speed in a control
Publikováno v:
All Days.
Smart wells provide great potential to improve the recovery from hydrocarbon resources. Smart wells provide the ability to control uncertainties associated with reservoir heterogeneity. One example is to mitigate unexpected water production due to fr