Predicting permeability from other petrophysical properties
Understanding pore network structure of a porous medium and fluid flow in the pore network has been an interest to researchers for decades. This study focuses on the characterization and simulation of the pore networks in petroleum reservoir rocks using conventional characterization techniques. A Representative Elemental Volume (REV) model is developed
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Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters. [PDF]
Hassaan S +3 more
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Unlocking the hydrocarbon potential: Formation evaluation and petrophysical properties of the upper Triassic Kurra Chine Formation in Sarta Oil Field, Kurdistan Region, Northern Iraq. [PDF]
Aswad MK, Omer MF, Naqshabandi SF.
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Montjuïc sandstone: petrophysical properties, decay and treatment
Peer ...
Navarro Ezquerra, Antonia +1 more
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Enhancing reservoir characterization in the Temsah gas field through high-resolution seismic analysis and three-dimensional modeling. [PDF]
Reda M +4 more
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Multi-scale reservoir characterization of pre-rift reservoirs in the October field, Gulf of Suez using integrated seismic, well logs, and core data. [PDF]
Ghaly M +3 more
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Assessment of CO₂ sequestration potential in the Abu Sannan oil field for sustainable energy and environment using seismic modeling, Western Desert, Egypt. [PDF]
Amer M +4 more
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Unlocking the hidden pathways: river channel delineation and reservoir characterization in Shurijeh Formation, Kopeh Dagh Basin. [PDF]
Mehdipour V, Sadeghtabaghi Z.
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Integration of PINN with Conventional Well Logging for Few-Shot TOC Prediction in Ultradeep Source Rocks. [PDF]
He T +6 more
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