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Explainable Artificial Intelligence Thrives in Petroleum Data Analytics
In Petroleum Data Analytics, Artificial Intelligence Avoids the Black Box
Pattern Visualization and Understanding of Machine Learning Models for Permeability Prediction in Tight Sandstone Reservoirs
Subsurface analytics: Contribution of Artificial Intelligence and Machine Learning to Reservoir Engineering, Reservoir Modeling, and Reservoir Management
Applications of Smart Proxies for Subsurface Modeling
Successful Implementation of Artificial Intelligence and Machine Learning in Multiphase Flow Smart Proxy Modeling: Two Case Studies of Gas-Liquid and Gas-Solid CFD Models
Application of Machine Learning and Artificial Intelligence in Proxy Modeling for Fluid Flow in Porous Media
Modeling Average Pressure and Volume Fraction of a Fluidized Bed Using Data-Driven Smart Proxy
Smart Proxy Modeling of SACROC CO2-EOR.
Assisted history matching using pattern recognition technology.
Determining the main drivers in hydrocarbon production from shale using advanced data-driven analytics – A case study in Marcellus shale.
Techno-Economic Assessment of Industrial CO2 Storage in Depleted Shale Gas Reservoirs.
Data-driven Proxy at Hydraulic Fracture Cluster Level: A Technique for Efficient CO2-Enhanced Gas Recovery and Storage Assessment in Shale Reservoir.
Full Field Reservoir Modeling of Shale Assets using Advanced Data-Driven Analytics.
Coupling Numerical Simulation and Machine Learning to Model Shale Gas Production at Different Time Resolutions.
Evaluation of Rapid Performance Reservoir Models for Quantitative Risk Assessment.
Geomechanical Properties of Unconventional Shale Reservoirs.
Modeling Pressure and Saturation Distribution in a CO2 Storage Project using a Surrogate Reservoir Model(SRM).
Converting Detail Reservoir Simulation Models into Effective Reservoir
Management Tools using SRMs; Case Study – Three Green Fields in Saudi Arabia.
State of the Art of Artificial Intelligence and Predictive Analytics in the E&P Industry: A Technology Survey.
Reservoir Modeling of Shale Formations.
A Field Study on Simulation of CO2 Injection and ECBM Production and Prediction of CO2 Storage Capacity in Unmineable Coal Seam.
Top-Down, Intelligent Reservoir Modeling of Oil and Gas Producing Shale Reservoirs: Case Studies.
Intelligent Production Modeling Using Full Field Pattern Recognition.
Fuzzy Upscaling in Reservoir Simulation: An Improved Alternative to Conventional Techniques.
Reservoir Simulation And Modeling Based On Artificial Intelligence And Data Mining (AI&DM).
A New Practical Approach in Modeling and Simulation of Shale Gas Reservoirs: Application to New Albany Shale.
Intelligent Seismic Inversion Workflow for High-Resolution Reservoir Characterization.
Coalbed Methane Reservoir Simulation and Uncertainty Analysis with Artificial Neural Network.
Using Artificial Neural Networks to Generate Synthetic Well Logs.
Artificial intelligence and Data Mining: Enabling Technology for Smart Fields.
Development of Surrogate Reservoir Model (SRM) for Fast Track Analysis of a Complex Reservoir.
An Intelligent System's Approach for Revitalization of Brown Fields Using Only Production Rate Data.
A Parametric Study on the Benefits of Drilling Horizontal and Multilateral Wells in Coalbed Methane Reservoirs.
Essential Components of an Integrated Data Mining Tool for the Oil and Gas Industry with an Example Application in the DJ Basin.
Building the Foundation for Prudhoe Bay Oil Production Optimization Using Neural Networks.
An Integrated Technique for Production Data Analysis (PDA) with Application to Mature Fields.
A New Methodology for the Identification of Best Practices in the Oil and Gas Industry, Using Intelligent Systems.
Recent Developments in Application of Artificial Intelligence in Petroleum Engineering.
Performance Drivers in Restimulation of Gas Storage Wells.
Intelligent Systems Application in Candidate Selection and Treatment of Gas Storage Wells.
Use of Intelligent Systems in Reservoir Characterization via Synthetic Magnetic Resonance Logs.
Virtual Intelligence Applications in Petroleum Engineering: Part 3 ; Fuzzy Logic.
Virtual Intelligence Applications in Petroleum Engineering: Part 2 ; Evolutionary Computing.
Virtual Intelligence Applications in Petroleum Engineering: Part 1 ; Artificial Neural Networks.
Design Optimum Frac Jobs Using Virtual Intelligence Techniques.
Hydraulic Fracture Design and Optimization of Gas Storage Wells.
Determination of Permeability From Well Log Data.
Petroleum Reservoir Characterization with the Aid of Artificial neural networks.
Predicting Well Stimulation Results in a Gas Storage Field in the Absence of Reservoir Data, Using Neural Networks.
Performance of a Virtual Runoff Hydrograph System (VROHS).
Performance of a Virtual Adsorber System for Removal of Lead.
Virtual Measurement of Heterogeneous Formation Permeability Using Geophysical Well Log Responses.
Identification of Parameters Influencing the Response of Gas Storage Wells to Hydraulic Fracturing With the Aid of a Neural Network.
Design and Development of an Artificial Neural Network for Estimation of Formation Permeability.
Production Decline Curves for Low-Pressure Gas Reservoirs Undergoing Simultaneous Water Production.
Neural Network: What It Can Do For Petroleum Engineers.
Predicting the Production Performance of Gas Reservoirs Using Production Type Curves.