Alexey Arkhipov

Gubkin Russian State University of Oil and Gas

Papers

Total Citations

H-Index

About

Alexey Arkhipov is a researcher at the forefront of integrating artificial intelligence into the oil and gas industry, with a particular focus on drilling optimization and digitalization. His work addresses the critical challenge of improving efficiency and safety in drilling operations by leveraging neural networks and machine learning. His most-cited paper, "Drilling Problems Forecast System Based on Neural Network" (2020, 11 citations), exemplifies his contribution to predictive modeling, offering a system that anticipates drilling complications to reduce downtime and operational risks. Arkhipov’s research aligns with the broader 21st-century trend of robotization and AI-driven process automation in energy extraction, positioning him as a key figure in the digital transformation of the sector. By developing intelligent forecasting tools, he helps bridge the gap between traditional drilling practices and modern data-driven methodologies. His work not only advances technical capabilities but also promotes safer, more cost-effective resource recovery. For students and researchers interested in applied AI, Arkhipov’s studies demonstrate how neural networks can solve real-world industrial problems, making his profile a compelling example of impactful, interdisciplinary engineering research.