Share Your Research, Maximize Your Social Impacts
AI DRIVEN FORECAST ERROR ASSESSMENT MODELS FOR DRILLING IN OIL AND GAS
Journal: International Journal of Advanced Research (Vol.14, No. 01)Publication Date: 2026-01-15
Authors : Taher Ali Mohammed;
Page : 1667-1677
Keywords : Artificial Intelligence Drilling Forecasting Error Assessment Oil and Gas Engineering Machine Learning Predictive Analytics;
Source : Download
Find it from : Google Scholar
Abstract
Accurate forecasting is a significant part of the drilling process in the oil and gas industry as a whole.
Other Latest Articles
- UNDERSTANDING CONGENITAL ANOMALIES THROUGH GARBHAJA VIKRITIYA: AN AYURVEDIC PERSPECTIVE
- WILDSENTINEL: SAFEGUARDING THE HUMAN-WILDLIFE INTERFACE
- ASSOCIATIONS BETWEEN SLEEP QUALITY AND PSYCHOLOGICAL GENERAL WELL-BEING: A COMPREHENSIVE REVIEW
- ISOLATION AND CHARACTERISATION OF HALOTOLERANT AND PHOSPHATE-SOLUBILIZING YEAST FROM SUBURBAN MUMBAI
- Graduate Employability and Skills Utilization: A Tracer Study of BSBA Marketing Management and BS Entrepreneurship 2024 Graduates of NEUST Atate Campus
Last modified: 2026-02-24 15:05:00