New approach to evaluate the performance of highly deviated water injection wells using artificial neural network

Artificial Intelligence Applications in Reservoir Engineering: A Status Check

(2019) Turgay Ertekin et al.   Energies

Screening and optimization of polymer flooding projects using artificial-neural-network (ANN) based proxies

(2019) Qian Sun et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Modelling viscosity of liquid dropout near wellbore region in gas condensate reservoirs using modern numerical approaches

(2019) Foad Faraji et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Non-uniform injector/producer well pattern designs induced by morphology and anisotropy of flow units

(2019) G.P. Oliveira et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Application of Artificial Intelligence Techniques to Predict the Well Productivity of Fishbone Wells

(2019) Amjed Hassan et al.   Sustainability

Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO2 Flooding Using Artificial Intelligence Techniques

(2019) Amjed Hassan et al.   Sustainability

Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

(2018) Tamer Moussa et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Prediction of formation damage at water injection wells due to channelization in unconsolidated formations

(2018) J.F. Bautista et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Production performance analysis for deviated wells in composite carbonate gas reservoirs

(2018) Fankun Meng et al.   Journal of Natural Gas Science and Engineering

A Robust Rate of Penetration Model for Carbonate Formation

(2018) Ahmad Al-AbdulJabbar et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

(2017) Ahmed Abdulhamid A. Mahmoud et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Effective Prediction and Management of a CO2 Flooding Process for Enhancing Oil Recovery Using Artificial Neural Networks

(2017) Si Le Van et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

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

Development of machine learning methodology for polymer gels screening for injection wells

(2017) Munqith Aldhaheri et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)

(2016) Salaheldin Elkatatny et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A new, accurate and simple model for calculation of productivity of deviated and highly deviated well – Part I: Single-phase incompressible and compressible fluid

(2012) P. Ghahri et al.   FUEL