Oil And Gas Subsurface Management By Artificial Intelligence
Published 7/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 1h 59m |
Size: 1.29 GB
Agentic AI Approach for Subsurface Management
What you'll learn
Oil and Gas Asset Development and Planning
Basics of subsurface expertise and management
Defining an oil and gas asset with AI
Analysis and integration of Surface and Subsurface Data
AI Supported Subsurface Management
Selection of Infill Drilling Location Supported by AI
Requirements
Oil and Gas Reservoir Knowladge
Description
This course contains the use of artificial intelligence.
30+ years of oil and gas industry experience and accumulated expertise material were used to develop this course material
AI is not simply another software tool for the upstream industry-it is changing
how technical decisions are made. Historically, upstream improvements came from better seismic imaging, faster simulators, or more computing power. AI introduces a different paradigm: it augments human expertise by helping professionals extract knowledge from massive amounts of structured and unstructured data, automate repetitive analyses, and support more informed decisions under uncertainty.
For upstream organizations, the key question is no longer
"Can AI interpret a well log?" but
"How can AI help us make better asset decisions faster?"
- AI addresses the industry's growing data volume, complexity, and workforce challenges.
- The goal is
better and faster decisions, not replacing technical professionals.
- AI is most valuable when combined with engineering knowledge, domain experience, and sound governance.
- Successful organizations will integrate AI into existing workflows while maintaining human accountability.
- Future subsurface leaders will combine
technical expertise, data literacy, AI fluency, and decision-making skills.
Unlike generic AI courses, this program is centered on
subsurface decision-making rather than software development. Participants learn to embed AI into exploration, reservoir management, surveillance, production optimization, and strategic asset governance while maintaining engineering judgment. The outcome is not just AI literacy, but the ability to lead
AI-enabled subsurface organizations and improve the quality, speed, and consistency of technical and business decisions.
Who this course is for
Geologists
Reservoir Engineers
Reservoir Simulation Engineers
Geophysicist
Petrophysicist
Oil And Gas Subsurface Management By Artificial Intelligence
