Prediction of oil rates using Machine Learning for high gas oil ratio and water cut reservoirs
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Computer Science Applications,Instrumentation,Modeling and Simulation
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1. Data-Driven Method for Predicting the Transportable Maximum Gas–Oil Ratio;Journal of Pipeline Systems Engineering and Practice;2024-11
2. A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning;Engineering Applications of Artificial Intelligence;2024-10
3. New Model for Predicting Production Capacity of Horizontal Well Volume Fracturing in Tight Reservoirs;ACS Omega;2024-03-01
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