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Machine Learning & AI Upstream Onshore Oil & Gas 2018
- Establishing The Business Case For Machine Learning & AI : Demonstrating ROI and understanding 'What's possible' with AI in upstream oil & gas operations
- Where Does Machine Learning Provide The Greatest Value? Know where the real opportunities exist to focus your attention and investment on bigger opportunities first
- Deep-Dive Into What Has Been Accomplished Using Machine Learning : Best-in-class strategies for implementing operational Artificial Intelligence and Machine Learning in day-to-day operations
- Optimize Production Performance & Efficiency : Use Cases to improve well productivity, optimize artificial lift cycle-time, detect anomalies on artificial lift equipment and optimize chemical usage
- Predict Equipment Failure : Learn how to predict and eliminate equipment failure ahead of time using Machine Learning
- Improve Equipment Reliability : Know exactly when to perform maintenance and on which equipment using Machine Learning models
- Optimize Internal Workflows : Leverage artificial intelligence as a mechanism for internal workflow management
- Embrace How To Collect, Use & Profit From Data : Overcome the full horizon of data science challenges, including Data Quality, Mixing, High-Grading, Transfer, Connectivity, Ownership, Security and Storage
- Real-Time Drilling Optimization Using AI : Optimize decisions on Drill Bit Trajectory, Geosteering & Lateral Length Using AI tools
- Optimize Well Design & Completions Using Machine Learning : Assess the value of data science to optimize well design and improve completions decisions
- Solve Exploration & Reservoir Challenges : Learn how intelligent software systems can support exploration, reservoir development and seismicity management decisions
- Change Management' & 'Skills Transformation' : Best practices for achieving employee buy-in, training internal staff and managing trust issues
- Advanced Application Of Machine Learning Case Studies : Assess the true power of Machine Learning to increase operational efficiency
- Cost-Effective Machine Learning Technologies : Assess functionalities and limitations of systems t hat are capable of Machine Learning
Agenda At A Glance
Machine Learning & AI Upstream Onshore Oil & Gas 2018
- Establishing The Business Case For Machine Learning & AI : Demonstrating ROI and understanding 'What's possible' with AI in upstream oil & gas operations
- Where Does Machine Learning Provide The Greatest Value? Know where the real opportunities exist to focus your attention and investment on bigger opportunities first
- Deep-Dive Into What Has Been Accomplished Using Machine Learning : Best-in-class strategies for implementing operational Artificial Intelligence and Machine Learning in day-to-day operations
- Optimize Production Performance & Efficiency : Use Cases to improve well productivity, optimize artificial lift cycle-time, detect anomalies on artificial lift equipment and optimize chemical usage
- Predict Equipment Failure : Learn how to predict and eliminate equipment failure ahead of time using Machine Learning
- Improve Equipment Reliability : Know exactly when to perform maintenance and on which equipment using Machine Learning models
- Optimize Internal Workflows : Leverage artificial intelligence as a mechanism for internal workflow management
- Embrace How To Collect, Use & Profit From Data : Overcome the full horizon of data science challenges, including Data Quality, Mixing, High-Grading, Transfer, Connectivity, Ownership, Security and Storage
- Real-Time Drilling Optimization Using AI : Optimize decisions on Drill Bit Trajectory, Geosteering & Lateral Length Using AI tools
- Optimize Well Design & Completions Using Machine Learning : Assess the value of data science to optimize well design and improve completions decisions
- Solve Exploration & Reservoir Challenges : Learn how intelligent software systems can support exploration, reservoir development and seismicity management decisions
- Change Management' & 'Skills Transformation' : Best practices for achieving employee buy-in, training internal staff and managing trust issues
- Advanced Application Of Machine Learning Case Studies : Assess the true power of Machine Learning to increase operational efficiency
- Cost-Effective Machine Learning Technologies : Assess functionalities and limitations of systems t hat are capable of Machine Learning