An Interactive 5-Day Training Course
GIS for Oil, Gas and Energy Geoscience
GIS and Spatial Analysis for Geoscience
Secure your spot now!
Duration
5 Days
Price
$ 3,000
Starting From
19 Jul 2027
Home Geology and Geoscience GIS for Oil, Gas and Energy Geoscience
GIS for Oil, Gas and Energy Geoscience
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GIS for Oil, Gas and Energy Geoscience - GG-GIS-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| GG-GIS-PEA27 | 19 - 23 Jul 2027 | 10 AM CST | 4 Hours Per Day |
Online |
USD |
3000 |
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GIS for Oil, Gas and Energy Geoscience
This training covers geographic information systems for oil, gas and energy geoscience. It works through spatial data models, coordinate reference systems and transformation, data sources and acquisition, spatial analysis operations, raster analysis and surfaces, well and licence data management, map production and cartography, integration with subsurface applications, spatial analysis for energy projects and the delivery of spatial products.
Description
Most geoscience data has a position and most of it is handled without any spatial system at all: well locations in spreadsheets, licence boundaries in scanned images, infrastructure positions in different coordinate systems, and maps produced by hand in drawing packages. A geographic information system handles all of it consistently, allows spatial questions to be asked and answered quantitatively, and produces maps that can be updated rather than redrawn.
This training covers the subject for geoscience applications. Spatial data models are established first, covering vector and raster representation and when each applies. Coordinate reference systems and transformation follow, in detail, because this is where most spatial errors originate. Data sources and acquisition are then developed, covering public, commercial and internal sources. Spatial analysis operations follow, covering overlay, buffer, proximity and the queries each answers. Raster analysis and surfaces are then addressed. Well and licence data management follow as the core industry application. Map production and cartography are then developed. Integration with subsurface applications follows. Spatial analysis for energy projects is addressed. The training closes with delivery.
Coordinate reference system errors are the most common spatial mistake and they are large. Loading a data set in one projection into a project defined in another produces positions displaced by anything from metres to hundreds of kilometres, and the displacement may be small enough to look plausible. Within a single country there are often several datums in use historically, and the transformation between them requires parameters that have to be selected deliberately. Every spatial data set needs its reference system recorded, and every transformation needs its parameters documented.
Spatial questions are answerable quantitatively once the data is in a system. Which wells lie within five kilometres of a proposed pipeline; what area of a licence lies in water deeper than two hundred metres; how much of a prospect area is within a protected zone; which legacy wells penetrate a storage complex. Each of these is a routine spatial query that takes minutes, and each is otherwise answered by inspection of a map, which is slower and less reliable. Building the habit of asking these questions of the data is the main practical gain.
The licence and well database is the core industry application. Licence boundaries, their holders, their expiry dates and their work obligations, together with every well and its status, operator and results, constitute the basic spatial inventory of any petroleum or storage province. Maintained properly, it answers commercial and technical questions directly, supports relinquishment and bid round work, and provides the base map for every project. Maintained badly, as a collection of out of date shapefiles, it misleads.
Finally, a map is a communication product and cartographic quality affects whether it works. A map with an unclear legend, an unstated scale, no north arrow, a projection that distorts the area of interest, colours that fail in black and white or for colour-blind readers, and too many layers switched on will not convey its message regardless of how good the underlying analysis is. Basic cartographic discipline is quickly learned and makes a visible difference to how technical work is received.
By the end of this training, participants will be able to:
- Apply vector and raster spatial data models appropriately
- Manage coordinate reference systems and perform transformations correctly
- Acquire and assess spatial data from public and commercial sources
- Perform spatial analysis including overlay, buffer and proximity operations
- Analyse raster data and derive surfaces
- Build and maintain well and licence spatial databases
- Produce maps to professional cartographic standards
- Integrate spatial data with subsurface applications
- Apply spatial analysis to energy project questions
- Deliver spatial products in appropriate formats
The training is practical throughout, working on real petroleum and energy project data. Participants build spatial databases from supplied data, perform transformations and diagnose deliberately introduced coordinate errors, run spatial analyses to answer stated project questions, and produce finished maps that are critiqued by the group.
Organisations sending participants to this training will:
- Manage spatial data with correct reference systems
- Answer spatial questions quantitatively rather than by inspection
- Maintain reliable well and licence inventories
- Produce maps to a consistent professional standard
- Integrate spatial and subsurface data
- Reduce errors from coordinate system mistakes
Participants will:
- Work confidently with spatial data and projections
- Perform spatial analysis
- Build and maintain spatial databases
- Produce professional maps
- Integrate spatial with subsurface data
- Diagnose spatial data problems
- Geoscientists using spatial data
- Exploration staff working licences and acreage
- Data managers handling spatial data
- New ventures and commercial staff
- Environmental and permitting staff
- Technical staff producing maps
- Energy transition project staff
Module 1 - Spatial Data Models
- Vector data: points, lines and polygons
- Attribute tables and their structure
- Topology and its importance
- Raster data and grids
- Cell size and resolution
- When to use vector against raster
- Spatial data file formats
- Shapefiles and geopackages
- Geodatabases
- Metadata for spatial data
- Data model design for a project
- Software options and their differences
Module 2 - Coordinate Reference Systems
- Geographic coordinate systems
- Ellipsoids and datums
- Projected coordinate systems
- Projection types and their distortions
- UTM and its zones
- National grid systems
- Datum transformations
- Transformation parameters and their selection
- Seven parameter and grid shift transformations
- Accuracy of transformations
- Diagnosing coordinate errors
- Documenting reference systems
Module 3 - Data Sources
- Public domain spatial data
- National geological survey data
- Regulatory well and licence data
- Bathymetry and topography sources
- Satellite imagery sources
- Commercial data providers
- Infrastructure and pipeline data
- Protected area and environmental data
- Administrative and boundary data
- Internal company data
- Data licensing and its restrictions
- Assessing data quality and vintage
Module 4 - Spatial Analysis
- Attribute and spatial queries
- Selection by location
- Buffer operations
- Overlay operations: intersect, union, clip
- Dissolve and aggregation
- Proximity and nearest neighbour analysis
- Distance and area calculation
- Point in polygon operations
- Spatial joins
- Density analysis
- Network analysis in outline
- Combining operations into workflows
Module 5 - Raster Analysis and Surfaces
- Raster arithmetic and map algebra
- Reclassification
- Interpolation methods for surfaces
- Inverse distance and spline methods
- Kriging in a spatial context
- Digital elevation models
- Slope, aspect and derivative surfaces
- Hillshade and visualisation
- Contour generation
- Zonal statistics
- Volume calculation from surfaces
- Raster to vector conversion
Module 6 - Well and Licence Data
- Well location data management
- Surface and bottom hole locations
- Deviation surveys and well paths
- Three dimensional well path display
- Well attribute data and its structure
- Well status and classification
- Licence and block boundaries
- Licence attribute management
- Expiry and obligation tracking
- Partner and equity data
- Relinquishment and bid round support
- Maintaining the inventory
Module 7 - Map Production
- Map purpose and audience
- Projection selection for the area
- Scale and extent selection
- Layer symbolisation
- Colour selection and accessibility
- Labelling and annotation
- Legend design
- Scale bar, north arrow and graticule
- Insets and location maps
- Layout composition
- Export formats and resolution
- Map templates and consistency
Module 8 - Integration and Applications
- Exchange with interpretation software
- Importing horizons and grids
- Exporting polygons and culture data
- Linking to subsurface databases
- Scripting and automation of spatial tasks
- Web mapping and sharing
- Spatial analysis for prospect ranking
- Spatial analysis for storage site screening
- Geothermal and renewable site screening
- Environmental and social constraint mapping
- Infrastructure and routing analysis
- Delivering spatial products to users
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
