Physically consistent joint prediction of porosity and shale volume via core-calibrated deep learning in well-consolidated sandstones. [PDF]
Sun W, Zhao J, Peng S, Huang W, Li H.
europepmc +1 more source
Machine learning in subsurface physical properties and lithofacies prediction in a mining context. [PDF]
Balaguera A +9 more
europepmc +1 more source
Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning. [PDF]
Akbari A +3 more
europepmc +1 more source
Cyclic CO<sub>2</sub> Injection Process Recovery Behavior in Classified Deep Formations. [PDF]
Li Y, He J, Hu C, Wang W, Wan T.
europepmc +1 more source
Integrative rock physics and computer vision analysis of elastic properties and pore aspect ratios in Brazilian pre-salt carbonates. [PDF]
Quadros PSM +6 more
europepmc +1 more source
Petrophysical properties (density and magnetization) of rocks from the Suhbaatar-Ulaanbaatar-Dalandzadgad geophysical profile in Mongolia and their implications. [PDF]
Yang T +4 more
europepmc +1 more source
P³ - International PetroPhysical Property Database
Kristian Bär +5 more
openaire +2 more sources
Petrophysical Evaluation of a Shaly Sandstone Reservoir and the Effect of Clay Minerals on Reservoir Quality: A Case Study from the Barremian Mengo Sandstone, Kouilou Basin, Republic of Congo. [PDF]
Mabiala Mbouaki AP +4 more
europepmc +1 more source
Petrophysical assessment of the Hammam Faraun, Matulla and Nubia Reservoirs in the Ashrafi Oil Field, Gulf of Suez. [PDF]
Amer M, Mabrouk WM, Eid AM, Metwally A.
europepmc +1 more source
An integrated petrophysical and rock physics characterization of the Mangahewa Formation in the Pohokura field, Taranaki Basin. [PDF]
Hossain S, Rahman N.
europepmc +1 more source

