Machine Learning & AI For Upstream Onshore Oil & Gas 2021 is a conference that provides an insight on how machine learning can improve productivity, efficiency, revenue and safety in upstream onshore oil & gas companies.
Topics
- Bottom Line Benefits And Current Innovations
- How To Utilize The Latest Machine Learning Technology To Save Costs And Improve Efficiency
- Machine Learning Value - Permian Basin Operator Case Study
- Operational Understanding Of The Black Box Nature of AI
- Completions And Well Spacing Case Study
- Subsurface Optimization Case Study
- Predictive Maintenance For Artificial Lifts Case Study
- Cycle-Time For Artificial Lifts Case Study
- Predictive Maintenance Strategies
- Ensuring Asset Reliability
- Ensuring Asset Reliability
- Predict anomalies on Artificial Lift Equipment To Pre-Empt Failure
- Collecting, Using & Profiting From The Data Upgrading Legacy Infrastructure Systems
- Predictive Maintenance Strategies
- Improving Well Design Decisions
- Machine Models
- Change Management
- Skills Transformation Within The Organization
Who should Attend
VPs, CEOs, Directors, Heads, Team Leads, Managers, Managers, Chiefs, Engineers, Supervisors, Administrators, Scientists and Architects with responsibilities in:
- IT
- Data
- Machine Learning
- IoT
- Technology
- Innovation
- Research & Development
- Automation
- Business Solutions
- Digital Transformation
- Corporate Development
- Operational Excellence
- Operations
- Production
- Completions
- Drilling
- Reservoir
- Exploration
