ArcGIS Data Management for Petroleum - GISD

Discipline: Petroleum Data Management
Level: Specialized
Instructors who teach this course:
  • Ms. Fiona Buckingham
  • Mr. Simon Kettle
  • Mr. Mike Phillips
  • Dr. Devlyn Robson
  • Ms. Sharon Smith

  • About the course
  • Designed For
  • You will learn
  • Course Content
This course takes you through the development of oil and gas exploration and production (E&P) spatial data infrastructure. Using ArcGIS Desktop tools, you will be guided through the hands-on process of structuring and loading an E&P GIS using a realistic collection of well, surface, and subsurface data sources from an operating field. You will also develop an understanding of how to implement metadata in a petroleum-focused spatial data infrastructure. This course focuses on the management of a spatial data infrastructure and is geared towards helping you develop the skills needed to manage data quality and refresh datasets without compromising the integrity of the data store. Participants with GIS expertise but who are new to the oil and gas sector will gain a more thorough understanding of the spatial data management issues.
Data Management, IT, geoscience, and other professionals and support staff who are going to be building and managing spatial data infrastructure for specific projects, assets, or company-wide data stores, and need to be able to acquire the relevant ArcGIS skills and knowledge.
How To:
  • Explore the benefits in applying Geographic Information Systems (GIS) to your petroleum workflows
  • Utilize ArcGIS functionality to import spatial and non-spatial databases; integrate, manage, and analyze data to produce information for decision making
  • Use industry standard ArcGIS for Desktop tools, including ArcMap, ArcCatalog, and ArcToolbox
  • Automate E&P workflows through ArcGIS using batch processing, Model Builder, and ArcPy
  • Use oil field datasets to build a working GIS
  • Encounter and deal with common data management issues
  • Build an E&P GIS Spatial Data Infrastructure (SDI)
  • Create and load a geodatabase, feature datasets, feature classes, and a raster catalogue
  • Import well, lease, seismic, and raster data
  • Generate and update metadata
  • Check and improve the quality of spatial data
  • Manage and archive an SDI
  • Discuss how ArcGIS interfaces with third party systems