I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A subsurface machine learning approach at hydrocarbon produ..:
Prochnow, Shane J.
;
Raterman, Nickolas Scott
;
Swenberg, Megan
...
Journal of Petroleum Science and Engineering. 215 (2022) - p. 110598 , 2022
Link:
https://doi.org/10.1016/j.petrol.2022.110598
RT Journal T1
A subsurface machine learning approach at hydrocarbon production recovery & resource estimates for unconventional reservoir systems: Making subsurface predictions from multimensional data analysis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.petrol.2022.110598&Exemplar=1&LAN=DE A1 Prochnow, Shane J. A1 Raterman, Nickolas Scott A1 Swenberg, Megan A1 Reddy, Liliia A1 Smith, Ian A1 Romanyuk, Marina A1 Fernandez, Thomas PB Elsevier BV YR 2022 SN 0920-4105 JF Journal of Petroleum Science and Engineering VO 215 SP 110598 LK http://dx.doi.org/https://doi.org/10.1016/j.petrol.2022.110598 DO https://doi.org/10.1016/j.petrol.2022.110598 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)