Prediction of production indicators of fractured-vuggy reservoirs based on improved Graph Attention Network
Z Chen, D Zhang, J Li, G Hui, R Zhou - Engineering Applications of Artificial …, 2024 - Elsevier
Various storage and seepage spaces exist in fractured-vuggy carbonate reservoirs
composed of multi-scale dissolution pores and fractures. The frequent regulation of the …
composed of multi-scale dissolution pores and fractures. The frequent regulation of the …
[HTML][HTML] Unconventional Fracture Networks Simulation and Shale Gas Production Prediction by Integration of Petrophysics, Geomechanics and Fracture …
W Huang, P Wang, G Hui, X Kong, Y Jia, L Huang… - Energies, 2024 - mdpi.com
The proficient application of multistage fracturing methods enhances the status of the
Duvernay shale formation as a highly esteemed shale reservoir on a global scale …
Duvernay shale formation as a highly esteemed shale reservoir on a global scale …
Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches
G Hui, F Yao, Z Pi, P Bao, W Wang, M Wang… - SPE Canadian Energy …, 2024 - onepetro.org
Recently, the machine learning approach has been used to forecast tight gas production
from unconventional resources. However, the performance of machine learning-based …
from unconventional resources. However, the performance of machine learning-based …
Impact of climatic anomalies and reservoir induced seismicity on earthquake generation using Federated Learning
In this article, earthquake forecasting model using federated learning (FL) technique has
been proposed. Federated Learning is the most advanced technique of machine learning …
been proposed. Federated Learning is the most advanced technique of machine learning …
Review of Cross-Field Application of Geomechanics
Y Liu - … Conference on Mineral Resources, Geotechnology and …, 2024 - Springer
This comprehensive review explores the latest advancements in geomechanics. It focuses
on three key areas: the integration of machine learning, the relationship between …
on three key areas: the integration of machine learning, the relationship between …