Rapid production forecasting for heterogeneous gas-condensate shale reservoir
In the upstream oil and gas industry, production forecasting is crucial for decision making,
investment allocation, reservoir management, and field development. While traditional …
investment allocation, reservoir management, and field development. While traditional …
Enhanced hydrocarbon production forecasting combining machine learning, transfer learning, and decline curve analysis
GM Mask, X Wu, C Nicholson - Gas Science and Engineering, 2025 - 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 …
Transfer Learning in Subsurface Flow Surrogate Model with Physics-Guided Neural Network
HB Cheng, JH Qiao, YC Wei, SC Li, P Zeng… - SPE Annual Technical …, 2024 - onepetro.org
It is a great challenge for reservoir engineers to accurately and quickly model the subsurface
flow surrogate for oil and gas reservoirs. The traditional numerical simulation methods are …
flow surrogate for oil and gas reservoirs. The traditional numerical simulation methods are …
A Comparative Study of Transfer Learning, Convolutional Neural Network, and Random Forest for Satellite-Image-Based Land Use Classification
W Alotaibi, J Torres, Y Alsekait, W Gretzinger… - Authorea …, 2024 - essopenarchive.org
As the accessibility of satellite imagery grows, the necessity for precise classification models
intensifies. This research endeavors to construct robust classification models capable of …
intensifies. This research endeavors to construct robust classification models capable of …