Results 71 to 80 of about 588 (117)
The most important estimation parameter – the open porosity coefficient (Kp) - in petrophysical laboratories is, as a rule, determined for the productive formation on the whole and without taking into account its regional heterogeneity.
I. B. Ratnikov +3 more
doaj +1 more source
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
Debido a la alta variabilidad lateral de facies de los sedimentos de la Formación Colorado en la zona de Campo Galán, el presente trabajo de investigación postula nuevos mapas de distribución de electrofacies que muestra la distribución vertical y ...
Sarmiento Moreno, Martha Liliana
core +1 more source
Accurate water saturation (Sw) modeling in carbonate reservoirs remains a persistent challenge due to complex pore structures and facies heterogeneity that compromise the reliability of traditional resistivity-based techniques.
Sirous Hosseinzadeh +4 more
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
Robust reservoir identification by multi-well cluster analysis of wireline logging data. [PDF]
Szabó NP, Kilik R, Dobróka M.
europepmc +1 more source
Electrofacies Characterization of an Iraqi Carbonate Reservoir
Predicting peterophysical parameters and doing accurate geological modeling which are an active research area in petroleum industry cannot be done accurately unless the reservoir formations are classified into sub-groups.
Dahlia Abdulhadi Abdulateef +2 more
doaj
Accurate estimation of permeability is essential for reliable reservoir characterization and simulation. However, core data are often limited due to their high cost and operational constraints, leading to significant uncertainty in uncored intervals ...
Ali S. Al-Khaqani, Dahlia A. Al-Obaidi
core +1 more source
An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation. [PDF]
Jamshidi Gohari MS +3 more
europepmc +1 more source
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

