The effective characterization and management of hydrocarbon reservoirs require a thorough understanding of their petrophysical properties, from exploration to production.
Abel Carrasquilla, Herson Rocha
doaj +1 more source
Le Trias du nord-ouest de la Libye (Tripolitaine), a été antérieurement étudié en grand détail sur les zones d'affleurements. Les datations proposées étaient peu précises voire inexactes. . .
Massa D. +3 more
doaj +1 more source
Reservoir Characterisation: - Multi-Scales Permeability Data Integration: Lake Albert Basin, Uganda
Imperial Users ...
Ongin, Tonny, Ongin, Tonny
core
Robust reservoir identification by multi-well cluster analysis of wireline logging data. [PDF]
Szabó NP, Kilik R, Dobróka M.
europepmc +1 more source
Reconstructing lithofacies of the Norphlet Formation (Jurassic) as potential exploration targets: Little Cedar Creek and Brooklyn Fields, southwest Alabama [PDF]
The Norphlet Formation is a Jurassic-aged siliciclastic unit located across the southeastern United States and offshore Gulf of Mexico. The eolian dune sands present in the Norphlet Formation serve as oil and gas reservoirs, making the formation of ...
Henry, Catherine E.
core +1 more source
Integração de caracterização de reservatórios com ajuste de histórico baseado em poços piloto : aplicação ao campo Norne [PDF]
Orientador: Denis José SchiozerTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica e Instituto de GeociênciasResumo: As incertezas inerentes à simulação numérica de reservatórios podem originar modelos com diferenças ...
Correia, Gil Fernando Gomes, 1979-
core
An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation. [PDF]
Jamshidi Gohari MS +3 more
europepmc +1 more source
Stratigraphic interpretation of Well-Log data of the Athabasca Oil Sands of Alberta Canada through Pattern recognition and Artificial Intelligence [PDF]
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Automatic Stratigraphic Interpretation of Oil Sand wells from well logs datasets typically involve recognizing the patterns ...
Igbokwe, Onyedikachi Anthony
core
Facies-Controlled Geostatistical Porosity Model for Estimation of the Groundwater Potential Area in Hongliu Coalmine, Ordos Basin, China. [PDF]
Li L, Qu J, Wei J, Xia F, Gao J, Liu C.
europepmc +1 more source
A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran. [PDF]
Mohammadian E +4 more
europepmc +1 more source

