Reservoir properties estimation from 3D seismic data in the Alose field using artificial intelligence
A Ogbamikhumi, JO Ebeniro - Journal of Petroleum Exploration and …, 2021 - Springer
In an attempt to reduce the errors and uncertainties associated with predicting reservoir
properties for static modeling, seismic inversion was integrated with artificial neural network …
properties for static modeling, seismic inversion was integrated with artificial neural network …
A Technique of Hydrocarbon Potential Evaluation in Low Resistivity Gas-Saturated Mudstone Horizons in Miocene Deposits, South Poland
A Lis-Śledziona, W Kaczmarczyk-Kuszpit - Energies, 2022 - mdpi.com
The petrophysical properties of Miocene mudstones and gas bearing-heteroliths were the
main scope of the work performed in one of the multihorizon gas fields in the Polish …
main scope of the work performed in one of the multihorizon gas fields in the Polish …
Takagi-Sugeno Integrated Fuzzy System in Subsurface Identification
I Odesanya, KE Ukhurebor… - Covenant …, 2021 - journals.covenantuniversity.edu.ng
This study investigates the possibility of using the rule-based fuzzy (FZ) inference method to
analyse petrophysical data (DT). Some well logs (WL) DT provided by Shell Producing …
analyse petrophysical data (DT). Some well logs (WL) DT provided by Shell Producing …