Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects

Comparative analysis of carbon footprint of various CO2-enhanced oil recovery methods: A short experimental study

(2023) Krishna Raghav Chaturvedi et al.   CHEMICAL ENGINEERING COMMUNICATIONS

Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios

(2023) Rakesh Kumar Pandey et al.   Scientific Reports

Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers

(2022) Hung Vo Thanh et al.   APPLIED ENERGY

Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach

(2022) P.S. Pavan et al.   BIORESOURCE TECHNOLOGY

Robust machine learning models of carbon dioxide trapping indexes at geological storage sites

(2022) Hung Vo-Thanh et al.   FUEL

Enhanced oil recovery and CO2 sequestration potential of Bi-polymer polyvinylpyrrolidone-polyvinyl alcohol

(2022) Tushar Sharma et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using experimental data

(2022) Faizan Ali et al.   Applied Nanoscience

Rapid evaluation and optimization of carbon dioxide‐enhanced oil recovery using reduced‐physics proxy models

(2022) Watheq J. Al‐Mudhafar et al.   Energy Science & Engineering

Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites

(2022) Hung Vo Thanh et al.   RENEWABLE ENERGY

A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques

(2022) Guodao Zhang et al.   Energy Reports

Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

(2022) Aydin Larestani et al.   Alexandria Engineering Journal

Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory

(2022) Mohammed A. A. Al-qaness et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations

(2022) Mohammed A.A. Al-qaness et al.   Journal of Energy Storage

Prediction of hydrate formation temperature using gene expression programming

(2021) Menad Nait Amar   Journal of Natural Gas Science and Engineering

An optimized XGBoost method for predicting reservoir porosity using petrophysical logs

(2021) Shaowei Pan et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Artificial Neural Network to Forecast Enhanced Oil Recovery Using Hydrolyzed Polyacrylamide in Sandstone and Carbonate Reservoirs

(2021) Hossein Saberi et al.   Polymers

Data-Driven Analyses of Low Salinity Waterflooding in Carbonates

(2021) Rashida Salimova et al.   Applied Sciences-Basel

Applied random forest for parameter sensitivity of low salinity water Injection (LSWI) implementation on carbonate reservoir

(2021) Fiki Hidayat et al.   Alexandria Engineering Journal

Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery

(2021) Mohammad-Reza Mohammadi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques

(2021) Mehdi Mahdaviara et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Data-Driven Connectionist Models for Performance Prediction of Low Salinity Waterflooding in Sandstone Reservoirs

(2021) Afshin Tatar et al.   ACS Omega

Machine learning for recovery factor estimation of an oil reservoir: A tool for de-risking at a hydrocarbon asset evaluation

(2021) Ivan Makhotin et al.   Petroleum

The role of emulsification and IFT reduction in recovering heavy oil during alkaline‑surfactant-assisted CO2 foam flooding: An experimental study

(2021) Jing Zhao et al.   FUEL

On the sustainability of CO2 storage through CO2 – Enhanced oil recovery

(2020) R. Farajzadeh et al.   APPLIED ENERGY

Estimation of Petrophysical Parameters from Seismic Inversion by Combining Particle Swarm Optimization and Multilayer Linear Calculator

(2020) Qamar Yasin et al.   Natural Resources Research

Prediction of methane adsorption in shale: Classical models and machine learning based models

(2020) Meng Meng et al.   FUEL

Hybrid connectionist models to assess recovery performance of low salinity water injection

(2020) Javad Kondori et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

(2020) Hung Vo Thanh et al.   Scientific Reports

Experimental and simulation investigations of carbon storage associated with CO2 EOR in low-permeability reservoir

(2020) Jianguang Wei et al.   International Journal of Greenhouse Gas Control

Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs

(2020) Watheq J. Al-Mudhafar   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

The synergistic role of silica nanoparticle and anionic surfactant on the static and dynamic CO2 foam stability for enhanced heavy oil recovery: An experimental study

(2020) Jing Zhao et al.   FUEL

Experimental studies on CO2 foam performance in the tight cores

(2019) Jun Yang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Characterization of CO2 storage and enhanced oil recovery in residual oil zones

(2019) Bailian Chen et al.   ENERGY

Connectionist and mutual information tools to determine water saturation and rank input log variables

(2019) Mohammad Islam Miah et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling

(2019) Hamid Gholami et al.   ATMOSPHERIC RESEARCH

Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects

(2019) Junyu You et al.   FUEL

Modeling oil-brine interfacial tension at high pressure and high salinity conditions

(2019) Menad Nait Amar et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Polynomial and nonparametric regressions for efficient predictive proxy metamodeling: Application through the CO2-EOR in shale oil reservoirs

(2019) Watheq J. Al-Mudhafar   Journal of Natural Gas Science and Engineering

Developing a robust proxy model of CO 2 injection: Coupling Box–Behnken design and a connectionist method

(2018) Mohammad Ali Ahmadi et al.   FUEL

A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

(2018) Dahai Zhang et al.   IEEE Access

Economic threshold of CO2-EOR and CO2 storage in the North Sea: A case study of the Claymore, Scott and Buzzard oil fields

(2018) Kris Welkenhuysen et al.   International Journal of Greenhouse Gas Control

Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field

(2018) Watheq J Al-Mudhafar   MARINE GEOPHYSICAL RESEARCH

Evaluating the critical performances of a CO 2 –Enhanced oil recovery process using artificial neural network models

(2017) Si Le Van et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Evaluation of CO 2 Low Salinity Water-Alternating-Gas for enhanced oil recovery

(2016) Cuong Dang et al.   Journal of Natural Gas Science and Engineering

Full field reservoir modeling of shale assets using advanced data-driven analytics

(2016) Soodabeh Esmaili et al.   Geoscience Frontiers

Mobility control during CO2 EOR in fractured carbonates using foam: Laboratory evaluation and numerical simulations

(2015) M.A. Fernø et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

CO2 foam flooding for improved oil recovery: Reservoir simulation models and influencing factors

(2015) Yang Zhang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Sensitivity studies and stochastic optimization of CO2 foam flooding

(2014) Najmudeen Sibaweihi et al.   COMPUTATIONAL GEOSCIENCES

Experimental Determination of Equilibrium Interfacial Tension for Nitrogen-Crude Oil during the Gas Injection Process: The Role of Temperature, Pressure, and Composition

(2014) Abdolhossein Hemmati-Sarapardeh et al.   JOURNAL OF CHEMICAL AND ENGINEERING DATA

Investigating vapor–liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network

(2013) Mostafa Lashkarbolooki et al.   FLUID PHASE EQUILIBRIA

Miscible oil recovery utilizing N2 and/or HC gases in CO2 injection

(2013) Hadi Belhaj et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Foam Mobility Control for Surfactant Enhanced Oil Recovery

(2010) Robert Feng Li et al.   SPE JOURNAL