An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir

Prediction of industrial debutanizer column compositions using data-driven ANFIS- and ANN-based approaches

(2021) Syeda Anmol Fatima et al.   NEURAL COMPUTING & APPLICATIONS

Data-Driven Modeling Approach to Predict the Recovery Performance of Low-Salinity Waterfloods

(2021) Shams Kalam et al.   Natural Resources Research

Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach

(2021) Ahmed Abdulhamid Mahmoud et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction

(2021) Daniel Asante Otchere et al.   Journal of Natural Gas Science and Engineering

Application of Artificial Intelligence to Estimate Oil Flow Rate in Gas-Lift Wells

(2020) Mohammad Rasheed Khan et al.   Natural Resources Research

Modeling the acentric factor of binary and ternary mixtures of ionic liquids using advanced intelligent systems

(2020) Teslim Olayiwola et al.   FLUID PHASE EQUILIBRIA

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

(2020) Daniel Asante Otchere et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A new fractal approach for describing induced-fracture porosity/permeability/ compressibility in stimulated unconventional reservoirs

(2019) Guanglong Sheng et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

AI based mechanistic modeling and probabilistic forecasting of hybrid low salinity chemical flooding

(2019) Cuong Dang et al.   FUEL

Application of artificial intelligence techniques in the petroleum industry: a review

(2018) Hamid Rahmanifard et al.   ARTIFICIAL INTELLIGENCE REVIEW

An integrated approach for estimating static Young’s modulus using artificial intelligence tools

(2018) Salaheldin Elkatatny et al.   NEURAL COMPUTING & APPLICATIONS

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Prediction of Polymer Flooding Performance with an Artificial Neural Network: A Two-Polymer-Slug Case

(2017) et al.   Energies

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

(2017) Daniel Armeanu et al.   Energies

Scale formation in porous media and its impact on reservoir performance during water flooding

(2017) Sassan Hajirezaie et al.   Journal of Natural Gas Science and Engineering

Reliable method for the determination of surfactant retention in porous media during chemical flooding oil recovery

(2015) Arash Kamari et al.   FUEL

Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect on its performance in a heterogeneous carbonate reservoir

(2015) Mohammad Ali Sebtosheikh et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

(2015) Fatai Adesina Anifowose et al.   Journal of Natural Gas Science and Engineering

An artificial neural network model for predicting the recovery performance of surfactant polymer floods

(2013) Mabkhout M. Al-Dousari et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine

(2012) R. Gholami et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

The Development of an Artificial Neural Network Model for Prediction of Crude Oil Viscosities

(2011) F. Torabi et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Waterflooding Performance in Inclined Communicating Stratified Reservoirs

(2011) Noaman A.F. El-khatib   SPE JOURNAL

Performance Prediction of Waterflooding in Western Canadian Heavy Oil Reservoirs Using Artificial Neural Network

(2010) Farid Ahmadloo et al.   ENERGY & FUELS

Support-Vector Regression for Permeability Prediction in a Heterogeneous Reservoir: A Comparative Study

(2010) Ammal F. Al-anazi et al.   SPE RESERVOIR EVALUATION & ENGINEERING