Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the surface with the use of modern mining equipment. If not operated properly, various …
Forecasting fluid flow in subsurface resources such as groundwater, geothermal, and oil and gas is essential to maximize project economics and maximize resource recovery. We …
DS Yang, D Xue, H Xu, W Duan - Case Studies in Construction Materials, 2024 - Elsevier
As engineering endeavors push the boundaries of material and design capabilities, the significance of understanding and mitigating fatigue in construction materials becomes …
H Meng, B Lin, Y Jin - SPE Journal, 2024 - onepetro.org
Rate of penetration (ROP) prediction plays a crucial role in optimizing drilling efficiency and reducing overall costs in the petroleum industry. Although modern artificial intelligence (AI) …
G Bayazitova, M Anastasiadou… - Geoenergy Science and …, 2024 - Elsevier
The oil and gas industry is changing. The drive towards cleaner and safer operations is becoming increasingly important. Researchers are looking for more efficient and accurate …
We present a novel approach for real-time estimation of the mechanical properties of rock with drilling data. We demonstrate that surface drilling telemetry (also known as mud …
A significant proportion of the investment and capital expenditures of oil and gas companies falls on the drilling of wells during the development of fields [29], as well as during the …
In subsurface data analytics and machine learning, advances enable new methods and workflows for spatio-temporal, geoscience, and engineering property estimation and …
ВА Старцев, ГВ Буслаев… - … нефтяных и газовых …, 2023 - researchgate.net
В данной работе приведен анализ мирового опыта использования различных методов машинного обучения в нефтегазовой отрасли для оптимизации процесса бурения …