Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andreas Al-Kinani"'
Publikováno v:
SPE Reservoir Evaluation & Engineering. 14:413-422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6615947760740f91310ffd93d78c9d6
https://doi.org/10.2118/136373-pa
https://doi.org/10.2118/136373-pa
Publikováno v:
All Days.
Abstract Hydrocarbon exploration is reaching global frontiers in the search for near- and long-term solutions to increase oil production from the existing assets. Enhanced oil recovery (EOR) offers a substantial alternative to improve recovery from e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6bd808ae118d34ce058bc61432816d7
https://doi.org/10.2523/iptc-17798-ms
https://doi.org/10.2523/iptc-17798-ms
This chapter describes a framework that captures knowledge in an organization and applies it in daily operations. Knowledge capturing is one of the biggest upcoming challenges to oil and gas organizations as operations become more remote, more challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ccae3f4382466cbb47e860019e389f
https://doi.org/10.4018/978-1-4666-2002-5.ch016
https://doi.org/10.4018/978-1-4666-2002-5.ch016
Publikováno v:
All Days.
Waterflooding is among the oldest and perhaps most economical of Enhanced Oil Recovery (EOR) processes to extend field life and increase ultimate oil recovery from naturally depleting reservoirs. High oil prices provide incentive for companies to loo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a0e9e9cf50b162de13c3b713baa902
https://doi.org/10.2118/136373-ms
https://doi.org/10.2118/136373-ms
Autor:
Gustavo Nunez, Martha Figueroa Mota, Georg Zangl, Michael Stundner, Ralf Holy, Andreas Al-Kinani, Hector Manuel Escalona Gonzalez, Gilberto Sandoval Hernandez, Franz Fuehrer
Publikováno v:
All Days.
This paper describes a new workflow to accelerate and improve decisions regarding where and when to apply an artificial lift system in fields with a considerable number of active wells. The workflow deploys a hybrid combination of a user-driven exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::784a83a978d0e74b44233e3a38972436
https://doi.org/10.2118/128636-ms
https://doi.org/10.2118/128636-ms
Publikováno v:
SPE Russian Oil and Gas Conference and Exhibition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf35efa7252eb5cca42fc638da7bc63
https://doi.org/10.2118/136373-ru
https://doi.org/10.2118/136373-ru
Autor:
Nelson Rodriquez, William J. Bailey, Øystein Tesaker, Alf Midtbø Overland, Andreas Al-Kinani, Richard Torrens, Benoit Couet, Georg Zangl, Radek Pecher, Dag M. Arnesen
Publikováno v:
All Days.
The objective of this paper is to highlight the necessary steps for the successful use of integrated asset modeling. It presents the full workflow for optimzing production and injection cycle times with the help of a simplified reservoir model (SRM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf684ef5f7b328074f9e6f9aa95d6343
https://doi.org/10.2118/112223-ms
https://doi.org/10.2118/112223-ms
Publikováno v:
All Days.
Proxy models are becoming more widely used as they can simplify highly complex processes with reasonable accuracy. Especially in risk analysis, where complex relationships between the uncertainty parameters exist, proxy models are used in form of res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45192b851778a6b936852f63986507c
https://doi.org/10.2118/100131-ms
https://doi.org/10.2118/100131-ms
Publikováno v:
The APPEA Journal. 50:718
This paper discusses a new workflow to stochastically estimate the performance of future production in coal seam gas (CSG) developments. Usually performance evaluations for CSG wells are conducted using either much-generalised statistical methods or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e837b75306e97522384a2f59369ef89
https://doi.org/10.1071/aj09082
https://doi.org/10.1071/aj09082