Postgraduate Petroleum Data Management 2018-2019

 Data Sources, Types and Formats:

• Spatial Data

• Culture
• Boundaries/Licenses/Leases
• Licence history
• Bathymetry/Topography
• Surface images
• Coordinate Systems
• Subsea data (e.g. infrastructure and pipelines)

• Geophysical Data

• 2D/3D Navigation
• Gravity & Magnetics
• 3D Outlines
• 2D/3D Seismic trace
• 4D Seismic Time-Lapse data
• Acquisition and Processing parameters
• Velocities

• Interpretation projects

• Seismic Interpretation and Interpretation Studies
• Horizon Time Grid and Depth Grid
• Geologic and Simulation Models
• Reserve calculations
• Prospects

• Well Data

• Stratigraphic Columns
• Identity: Headers, Directional
• Drilling: Planning, Drilling, Completion, Events, Drilling / W-O treatment
• Formation: Core description, Geochemistry, Surface picks, Intervals, Pressures
• Logs: Curves, Petrophysical parameters, Zoned properties, Checkshots, VSP, Synthetic seismograms

• Production Data

• Configuration: External network, Network, Surface, Sub-surface
• Regular: Measured volumes, Pump data, Other measurements, Operational, Allocated volumes
• Occasional: Planned events, Unplanned events, Samples, Well tests

• Reservoir Data

• Porosity
• Permeability
• Fluids
• “Problems”
• Well tests (e.g. Drill stem test, Formation Integrity test)

• Indexes

• Physical assets
• Scanned documents
• Electronic Documents

• The value of these different data types

• Data sourcing workflows

• Tools and techniques for

• Using, loading, altering, and converting different data types and data sets
• Data storage
• Data archiving
• Cataloguing data for effective search and retrieval
• All of the above for Big Data

• Introduction to regulatory reporting and data sharing between partners

• Introduction to associated standards

• Introduction to associated IT concepts

• Introduction to Data Management Architecture and Data Management Models