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DM5001: PETROLEUM DATA MANAGEMENT TOOLS AND TECHNIQUES 1 (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

 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

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators

Sorry, we don't have a record of any course coordinators.

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

 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

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

There are no assessments for this course.

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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