SPE Reservoir Evaluation & Engineering

Papers
(The H4-Index of SPE Reservoir Evaluation & Engineering is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Stability and Behavior in Carbonate Cores for New Enhanced-Oil-Recovery Polymers at Elevated Temperatures in Hard Saline Brines41
Performance Comparison of Novel Chemical Agents for Mitigating Water-Blocking Problem in Tight Gas Sandstones36
Measurement and Modeling of Minimum Miscibility Pressure: A State-of-the-Art Review25
Fracture-Hit Detection Using LF-DAS Signals Measured during Multifracture Propagation in Unconventional Reservoirs21
Incorporation of Physics into Machine Learning for Production Prediction from Unconventional Reservoirs: A Brief Review of the Gray-Box Approach19
Impact of Geological Variables in Controlling Oil-Reservoir Performance: An Insight from a Machine-Learning Technique19
Machine-Learning-Assisted Closed-Loop Reservoir Management Using Echo State Network for Mature Fields under Waterflood18
Impact of Surfactants on Hydrocarbon Mobility in Shales17
Wettability State and Phase Distributions During Steam Injection with and without Chemical Additives: An Experimental Analysis Using Visual Micromodels15
Unconventional Reservoir Hydrocarbon-Gas Foam Enhanced-Oil-Recovery Pilot: Design, Implementation, and Performance Analysis15
Experimental Study and Numerical Modeling of Boron Transport in Reservoir and Its Influence on Seawater-Breakthrough Calculation14
Application of Interpretable Machine-Learning Workflows To Identify Brittle, Fracturable, and Producible Rock in Horizontal Wells Using Surface Drilling Data14
Wettability Quantification in Mixed-Wet Rocks Using a New NMR-Based Method14
Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks13
Support Vector Regression for Petroleum Reservoir Production Forecast Considering Geostatistical Realizations13
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