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 …
Effects of early-time production data on machine-learning-assisted long-term production forecasting
Production forecasting is crucial for field development. Machine Learning models have
shown the potential to overcome limitations of conventional methods like Numerical …
shown the potential to overcome limitations of conventional methods like Numerical …
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 …
DeepONet-embedded physics-informed neural network for production prediction of multiscale shale matrix–fracture system
As a rising method for reservoir-scale production analysis, machine learning (ML) models
possess high computational efficiency with robust capability of nonlinear mapping. However …
possess high computational efficiency with robust capability of nonlinear mapping. However …
Towards universal production forecasting via adversarial transfer learning and transformer with application in the Shengli Oilfield, China
J Chang, J Meng, D Zhang, T Ye, H Wang… - … Conference, 17–19 …, 2024 - library.seg.org
This study aims to leverage deep learning (DL) to forecast oil production dynamics, focusing
on the transition from conventional to unconventional reservoirs in the Shengli Oilfield …
on the transition from conventional to unconventional reservoirs in the Shengli Oilfield …
A hybrid framework of physical constraints and sequence learning for production forecasting with application in the Weirong shale gas field, China
J Chang, H Wang, H Wang, Y Zhou, J Meng… - … Exposition and Annual …, 2024 - onepetro.org
Production forecasting is essential for reservoir development and economic evaluation.
Recently, machine learning (ML) methods have attracted much attention due to their …
Recently, machine learning (ML) methods have attracted much attention due to their …
Machine Learning for Gas Leak Detection and Forecasting
J Enerio, M Kim, C Duong, S Misra - Available at SSRN 4826875 - papers.ssrn.com
The deployment of numerous sensors across several equipment and processes plays a
pivotal role in identifying and mitigating potential hazards, particularly those associated with …
pivotal role in identifying and mitigating potential hazards, particularly those associated with …