Machine Learning and Data Management in the Oil and Gas Industry
Tickets
Machine Learning and Data Management in the Oil and Gas Industry
Machine Learning and Data Management in the Oil and Gas Industry
17 -
21
Nov
2024
Cairo,
Egypt
What are the Goals?
- Learn to identify the impact of data quality and data management on success of oil and gas enterprise
- Acquire the knowledge about data management framework across the enterprises
- Identify the machine learning algorithms applied within the oil and gas industry
- Learn how to gather, transform and use the spatial, seismic, production and other data
- Identify the relations between the master data management process optimization
Who is this Training Course for?
- Petroleum Data Analysts
- CEOs, CIOs, COOs
- Systems Analysts
- Programmers
- Data Analysts
- Database Administrators
- Project Leaders
- Software Engineers
Daily Agenda
Day One: Data gathering and data quality within oil and gas industry
- Data sources
- Data rules for well identification and classification
- PPDM data model
- Geospatial data storage, analysis and use
- Machine learning in geospatial data
Day Two: Machine learning in oil and gas industry
- Machine learning algorithms
- Python programming
- R programming
- Use of existing software and its combination with Python and R
- Tensorflow
Day Three: Areas where machine learning can be implemented within oil and gas industry
- Forecasting
- Anomaly detection
- Process control
- Optimization
- Maintenance
- HSE
- Other areas
Day Four: Data collection and analysis using machine learning
- Data from SCADA
- Data from sensors
- Data from ECM
- Data visualization
- Data Analytics techniques for immediate insights
Day Five: Technologies in use
- Digital core
- Digital oilfield
- Machine learning in predictive maintenance
- Use of soft sensors
- Example cases and way forward
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