Results 141 to 150 of about 11,680 (205)

Physics-guided transformer networks for interpretable prediction of gas-oil relative permeability in porous media. [PDF]

Sci Rep
Ahmadi M.
europepmc   +1 more source

Petrophysical analysis and pressure gradients reveal hydrocarbon potential in the Paleozoic pre-rift of the PTAH Oil Field, Egypt. [PDF]

Sci Rep
Mahmoud AI, Ma X, Mabrouk WM, Noureldin AM, Metwally A.   +4 more
europepmc   +1 more source

XGBoost regression for robust acoustic impedance prediction in the absence of density and sonic logs. [PDF]

Sci Rep
Saleh K, El Hameedy MA, Mabrouk WM, Metwally A.   +3 more
europepmc   +1 more source

Physically consistent joint prediction of porosity and shale volume via core-calibrated deep learning in well-consolidated sandstones. [PDF]

Sci Rep
Sun W, Zhao J, Peng S, Huang W, Li H.
europepmc   +1 more source

Integrating petrophysical characterization and reservoir evaluation of the Kafr ELSheikh formation in Sapphire field, Nile Delta, Egypt. [PDF]

Sci Rep
Sobih NS, El Nagar AA, Abbas AE, Shehab S.   +3 more
europepmc   +1 more source

3D seismic modeling of the Amal oil field to evaluate CO₂ storage potential in depleted reservoirs, Southern Gulf of Suez. [PDF]

Sci Rep
Amer M, Mabrouk WM, Eid AM, Metwally A.
europepmc   +1 more source

Petrophysical assessment of the Hammam Faraun, Matulla and Nubia Reservoirs in the Ashrafi Oil Field, Gulf of Suez. [PDF]

Sci Rep
Amer M, Mabrouk WM, Eid AM, Metwally A.
europepmc   +1 more source

COST Action G8: Non-destructive Analysis and Testing of Museum Objects [PDF]

, 2006
Adriaens, Mieke, Denker, Andrea, Dowsett, Mark, Giumla-Mair, Alessandra   +3 more
core   +1 more source

Machine learning in subsurface physical properties and lithofacies prediction in a mining context. [PDF]

Sci Rep
Balaguera A, Torné M, Carbonell R, Martí A, Vergés J, Jurado MJ, Sánchez-Pastor P, Farci A, Davoise D, Rodríguez S.   +9 more
europepmc   +1 more source

Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data. [PDF]

Sci Rep
Siddique AB, Munshi TA, Rakin NI, Hashan M, Chnapa SS, Jahan LN.   +5 more
europepmc   +1 more source