Enhanced Hydrocarbon Production Forecasting Combining Machine Learning, Transfer Learning, and Decline Curve Analysis
GM Mask, X Wu, C Nicholson - Gas Science and Engineering, 2024 - Elsevier
Accurate production forecasting for multi-fractured horizontal wells (MFHW) in
unconventional resources is essential for decision-making during early-stage field …
unconventional resources is essential for decision-making during early-stage field …
Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning
Artificial lift systems, such as electrical submersible pumps and sucker rod pumps, frequently
encounter operational challenges due to high gas–oil ratios, leading to premature tool …
encounter operational challenges due to high gas–oil ratios, leading to premature tool …
Leveraging Machine Learning for Predicting Gas Separation Efficiency of a Downhole Separator
Artificial lift systems, specifically Electrical Submersible Pumps and Sucker Rod Pumps,
often face operational challenges due to high Gas-Oil Ratio, leading to premature tool failure …
often face operational challenges due to high Gas-Oil Ratio, leading to premature tool failure …
Analysis of Gas-Liquid Flow in Static Centrifugal Downhole Separators Through CFD
A downhole separator is an equipment placed before an artificial lift pump, which increases
the pump run time by separating the fluids and only sending the liquid to the pump …
the pump run time by separating the fluids and only sending the liquid to the pump …
A Review and Machine Learning Work for Downward Liquid-Gas Flow in Vertical Pipes
O Osuagwu, H Karami - ISAVFT North American Conference on …, 2024 - onepetro.org
This study aims to better understand liquid-gas flow in downward vertical tubulars, a less
studied topic with diverse applications in various industries, including Carbon Capture …
studied topic with diverse applications in various industries, including Carbon Capture …