Expanding role of borehole image logs in reservoir fracture and heterogeneity characterization: A review
DA Wood - Advances in Geo-Energy Research, 2024 - ager.yandypress.com
Borehole imaging well-log datasets provide a wide range of valuable information for various
aspects of petroleum reservoir characterization. In particular, electrical borehole images …
aspects of petroleum reservoir characterization. In particular, electrical borehole images …
Optimising Neural Networks for Enhanced Fracture Density Prediction in Surrounding Rock of Coalbed Methane Reservoir
X Men, S Chen, H Wu, B Zhang, Y Zhang… - Geological …, 2024 - Wiley Online Library
Fractures influence the mechanical strength of coal roof and floor, constraining the design of
hydraulic fracturing for coalbed methane production. Currently, the predominant approach …
hydraulic fracturing for coalbed methane production. Currently, the predominant approach …
Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data
A Azadivash - Heliyon, 2025 - cell.com
Lost circulation is one of the important challenges in drilling operations and bears financial
losses and operational risks. The prime causes of lost circulation are related to several …
losses and operational risks. The prime causes of lost circulation are related to several …
[HTML][HTML] Technology-Driven Financial Risk Management: Exploring the Benefits of Machine Learning for Non-Profit Organizations
H Huang - Systems, 2024 - mdpi.com
This study explores how machine learning can optimize financial risk management for non-
profit organizations by evaluating various algorithms aimed at mitigating loan default risks …
profit organizations by evaluating various algorithms aimed at mitigating loan default risks …