Research graph
References from An explainable quantum neural network framework for reservoir permeability prediction from conventional well logs. Local targets link to admitted publications; unresolved targets remain external evidence.
Comprehensive overview on the present state and evolution of global warming, climate change, greenhouse gasses and renewable energy
10.1007/s13369-024-09390-y · 2024 · External reference
An improved permeability estimation model using integrated approach of hybrid machine learning technique and shapley additive explanation
10.1016/j.jrmge.2024.09.013 · 2025 · External reference
Enhanced group method of data handling (GMDH) for permeability prediction based on the modified levenberg marquardt technique from well log data
10.1016/j.energy.2021.121915 · 2022 · External reference
Underground hydrogen storage in geological formations: a review
10.1016/j.jrmge.2025.02.014 · 2025 · External reference
Machine learning in oil and gas exploration: a review
10.1109/access.2023.3349216 · 2024 · External reference
Prediction of permeability using group method of data handling (GMDH) neural network from well log data
10.3390/en13030551 · 2020 · External reference
Recent advances in the application of porosity and permeability in porous media
10.1063/5.0271231 · 2025 · External reference
Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms
10.1007/s13202-022-01593-z · 2023 · External reference
How to estimate the major petrophysical properties: a review
10.55699/ijogr.2023.0301.1037 · 2023 · External reference
Permeability modeling in porous media: setting archie and carman-kozeny right
2007 · External reference
Group method of data handling (GMDH) neural network for estimating total organic carbon (TOC) and hydrocarbon potential distribution (S1, S2) using well logs
10.1007/s11053-021-09908-3 · 2021 · External reference
Permeability prediction in tight carbonate rocks using gene expression programming (GEP)
10.1007/s00603-021-02382-6 · 2021 · External reference
Improved reservoir porosity estimation using an enhanced group method of data handling with differential evolution model and explainable artificial intelligence
2025 · External reference
Prediction of deep low permeability sandstone seismic reservoir based on CBAM-CNN
10.1016/j.geoen.2024.213241 · 2024 · External reference
A new model for determining the effective permeability of tight reservoirs based on fractal-monte carlo method
10.1016/j.petsci.2025.04.016 · 2025 · External reference
Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems
2025 · External reference
Application of geophysical well logs in solving geologic issues: past, present and future prospect
10.1016/j.gsf.2024.101779 · 2024 · External reference
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
10.1007/s12145-023-01099-0 · 2023 · External reference
A novel approach by integrating the core derived FZI and well logging data into artificial neural network model for improved permeability prediction in a heterogeneous gas reservoir
10.1016/j.petrol.2022.110573 · 2022 · External reference
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
10.1016/j.geoen.2023.211420 · 2023 · External reference
Novel material balance approach for estimating shale gas reserves with carbon dioxide (CO2) enhanced recovery
10.1007/s13146-025-01213-x · 2026 · External reference
Hydraulic performance modeling of inclined double cutoff walls beneath hydraulic structures using optimized ensemble machine learning
10.1038/s41598-025-10990-3 · 2025 · External reference
Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning
2025 · External reference
A new path plan method based on hybrid algorithm of reinforcement learning and particle swarm optimization
10.1108/ec-09-2020-0500 · 2022 · External reference
Permeability prediction using machine learning methods for the CO2 injectivity of the precipice sandstone in surat basin, Australia
10.3390/en15062053 · 2022 · External reference
Prediction of permeability from well logs using a new hybrid machine learning algorithm
10.1016/j.petlm.2022.03.003 · 2023 · External reference
Concrete compressive strength classification using hybrid machine learning models and interactive GUI
10.1007/s41062-025-01983-2 · 2025 · External reference
Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs
10.1038/s41598-023-36096-2 · 2023 · External reference
A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran
10.1038/s41598-022-08575-5 · 2022 · External reference
Permeability prediction and diagenesis in tight carbonates using machine learning techniques
10.1016/j.marpetgeo.2019.104096 · 2020 · External reference
Pattern visualization and understanding of machine learning models for permeability prediction in tight sandstone reservoirs
10.1016/j.petrol.2020.108142 · 2021 · External reference
Machine learning approach for core permeability prediction from well logs in sandstone reservoir, Mediterranean Sea, Egypt
10.1016/j.jappgeo.2023.105249 · 2024 · External reference
Optimizing support vector machines for enhanced permeability prediction in sandstone reservoirs using systematic and heuristic hyperparameter tuning
10.1007/s12145-024-01581-3 · 2025 · External reference
Quantum-enhanced deep learning-based lithology interpretation from well logs
2021 · External reference
Hybrid parameters for fluid identification using an enhanced quantum neural network in a tight reservoir
10.1038/s41598-023-50455-z · 2024 · External reference
Chapter 9. Albertine rift stratigraphy 1: sedimentary architecture
2025 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2011 · External reference
Geological conditions and petroleum exploration potential of the albertine graben of Uganda
10.1111/j.1755-6724.2004.tb00222.x · 2004 · External reference
The role of pre-existing Precambrian structures in rift evolution: the Albertine and Rhino grabens, Uganda
10.1016/j.tecto.2015.01.022 · 2015 · External reference
Unresolved reference
2016 · External reference
Thermal and exhumation history of the central Rwenzori Mountains, Western rift of the east African rift system, Uganda
10.1007/s00531-010-0549-7 · 2010 · External reference
Evolution of the western East African Rift system reflected in provenance changes of Miocene to Pleistocene synrift sediments (Albertine Rift, Uganda)
10.1016/j.sedgeo.2016.07.013 · 2016 · External reference
Geological characterization of the Miocene–Pliocene succession in the semliki basin, Uganda: implications for hydrocarbon exploration and drilling in the east African Rift System
10.1007/s11053-021-09951-0 · 2021 · External reference
Middle Miocene to Pleistocene sedimentary record of rift evolution in the southern Albert Rift (Uganda)
10.1007/s00531-010-0560-z · 2010 · External reference
Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs
10.1038/s41598-025-95490-0 · 2025 · External reference
Enhancing porosity prediction accuracy in oil reservoirs: evaluating hybrid machine learning approaches integrating well log and core data
2025 · External reference
The effect of preprocessing techniques, applied to numeric features, on classification algorithms' performance
10.3390/data6020011 · 2021 · External reference
A comprehensive review on data preprocessing techniques in data analysis
10.5505/pajes.2021.62687 · 2022 · External reference
Selection of data preprocessing techniques and its emergence towards machine learning algorithms using hpi dataset
2022 · External reference
Pre-processing methods of data mining
2014 · External reference
Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm
2021 · External reference
Prediction of methane adsorption in shale: classical models and machine learning based models
10.1016/j.fuel.2020.118358 · 2020 · External reference
Effective machine learning identification of TOC-rich zones in the Eagle Ford Shale
10.1016/j.jappgeo.2021.104311 · 2021 · External reference
Development of visual prediction model for shale gas wells production based on screening main controlling factors
10.1016/j.energy.2022.123812 · 2022 · External reference
Unresolved reference
2018 · External reference
A fully-self-adaptive harmony search GMDH-type neural network algorithm to estimate shear-wave velocity in porous media
10.3390/app12136339 · 2022 · External reference
A novel approach to oil-water mixture analysis: microstrip antenna-based sensor combined with GMDH neural network
10.1016/j.flowmeasinst.2024.102751 · 2025 · External reference
Artificial neural network model with adaptive GMDH technique for non-linear regression prediction
2021 · External reference
Unresolved reference
2022 · External reference
A new method for identifying reservoir fluid properties based on well logging data: a case study from PL block of Bohai Bay Basin, North China
10.1515/geo-2022-0716 · 2024 · External reference
Quantum neural networks: concepts, applications, and challenges
2021 · External reference
Prediction of CBR of hydrated lime-activated rice husk ash (HARHA) treated soil using genetic and particle swarm optimized ANN, LSSVM, and RVM models
10.1007/s40515-025-00641-5 · 2025 · External reference
Uncertainty quantification for digital twins in smart manufacturing and robotics: a review
2024 · External reference
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
10.1038/s41598-022-10358-x · 2022 · External reference
Assessing the generalization of forecasting ability of machine learning and probabilistic models for complex climate characteristics
10.1007/s00477-024-02721-3 · 2024 · External reference
Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach
10.1007/s11356-021-17852-1 · 2022 · External reference
Early Jurassic successions total organic carbon prediction using Bayesian physics-informed neural network in the mandawa basin, SE Tanzania
10.2118/233397-pa · 2026 · External reference
Significance of advanced spontaneous imbibition, and wettability alteration on enhanced oil recovery (EOR) in tight oil reservoirs
2019 · External reference
