Carbon nanostructures exhibit unique physicochemical properties and play a significant role
in modern and advanced technologies. Carbon dots (CDs) are a subset of carbon-based …

Abstract Characterization of heterogeneous reservoirs such as multilayered or fractured
systems is an important issue in different disciplines such as hydrology, petroleum and …

Domestic and foreign scholars have conducted extensive research on applying machine
learning to post-fracture production prediction in recent decades and made great …

To understand the key processes of hydraulic fracturing in shale oil reservoirs, such as
artificial fracture initiation and extension, proppant transportation and settlement, and the …

水力压裂是一种广泛使用的油气井增产技术, 总结机器学习在水力压裂作业中的应用研究,
重点讨论机器学习在工程实际中的应用价值. 分析经典机器学习算法, 机器学习对水力压裂作业 …

The oil and gas (O&G) industry is now as focused on minimizing costs and maximizing
efficiency just as much as maximizing production. Operators are looking for new and cost …

Current exploration trends in unconventional reservoirs involve multiple extensive laterals
drilled from a common well pad. These laterals are typically stimulated in tens of treatment …

A machine learning (ML) method has been developed for frac-hit identification. It utilizes
Long Short-Term Memory (LSTM) and Multilayer Perceptron (MLP) neural networks to …

A significant volume of anthropogenic carbon dioxide (CO2) is being injected into geological
reservoirs at multiple locations throughout the United States. These operations have gained …