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Spatial on Demand: Using Multi-Source Content for Lease Mapping


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Shea Shelby, Product Manager, DigitalGlobe
Discusses the importance of imagery for lease mapping applications.

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Spatial on Demand: Using Multi-Source Content for Lease Mapping

  1. 1. Spatial on Demand: Using Multi-Source Content for Lease Mapping Shea Shelby Product Manager DigitalGlobe
  2. 2. Agenda • How did I get here? • What is Spatial on Demand? • Using Multi-Source Content to Create Better Lease Data • Other Oil and Gas Use Cases
  3. 3. Who Am I? • My Background: • B.A. Geography – University of Oklahoma, 2009 • GIS Intern/Lead GIS Analyst – Chesapeake Energy, Oklahoma City, OK • Supported Land (New Mexico, Texas, and Oklahoma), then Regulatory and EH&S • Lead GIS Analyst – Tug Hill Operating, Fort Worth, TX • Supported Geology and Operations • Head GIS Analyst – Chief Oil and Gas, Dallas, TX • Supported Land (Pennsylvania and Texas), Engineering, A&D, Geology, and Midstream • Technical Manager – DigitalGlobe, Denver, CO • Technical Manager for Spatial on Demand • Product Manager – DigitalGlobe, Denver, CO • Product Manager for Spatial on Demand and Energy
  4. 4. Proof
  5. 5. What is Spatial on Demand? • DigitalGlobe’s multi-source streaming platform that was created to deliver world- class imagery and related geospatial data specifically to energy companies
  6. 6. Spatial on Demand • Multi-source: Satellite, Aerial, UAV/Drone, Topographic, Terrain, Radar, etc. • DigitalGlobe, Google, Bing, NAIP, Landsat, NED, USGS, NASA, NOAA, and more • Integrated into multiple software environments (ESRI ArcGIS, Kingdom, Petrel, Petra, GeoGraphix, AutoCAD) and general platforms (Spotfire, Tableau, Geocortex, ArcGIS portal and online) • Scale Enterprise delivery with multiple methods (ESRI and OGC): WMS, WMTS, REST/SOAP, WFS, WCS, ArcGIS, and API • Host and download client proprietary data
  7. 7. Multi-Source Datasets – 100+ • Airbus Seeps Database • Airbus Delaware Basin Imagery • ASTER GDEM 30m • Australia 50m Multibeam Bathymetry • Australian Bouguer Onshore & Offshore Gravity • Australian Margin Geomorphology 2005 • Australian NATMAP Topographic Map • Australian Regolith Terrain • Bing Maps Imagery • Bing Maps Streetmap • Bing Maps Bird’s Eye • BLM Areas of Critical Environmental Concern • BOEM GOM Bathymetry Dataset • Bouguer Gravity • Bureau of Land Management 100,000 Topographic Map • Canada Horizontal Gravity • Canada Land Grid • Canada Magnetic Field Grid • Canadian Digital Elevation Data • Canadian Topographic Maps • Corine Land Cover • DigitalGlobe Imagery • DigitalGlobe Streetmap • DigitalGlobe Terrain • DigitalGlobe Vivid • DigitalGlobe Most Recent • DigitalGlobe Best Resolution • DigitalGlobe Historical Imagery • eDOQQ Historical Imagery • EMAG2 Gravity Anomaly • ESRI Ocean Basemap • ESRI World Street Map • eTOPO Alaska 63K Topographic Maps • European Space Agency Global Land Cover • FEMA National Flood Hazards • GEBCO 2014 30 arc-second Relief Model • ESRI World Street Map • Surface In-Situ Observations • Google Maps Imagery • Google Maps Streetmap • Google Maps Terrain • Gulf of Mexico Contours • Intermap DSM/DTM • Isostatic Gravity • Landsat 7 Natural Color Imagery • Landsat 7, 4, 2 and SRTM 90m Hillshade • Landsat 7, 4, 2 Global Basemap • Landsat 8 • LiDAR Digital Elevation Models (DEM) • NOAA Long-Duration Hazards - Watches, Warnings and Advisories • Near-Real-Time Surface In-Situ Observations • NLCD Land Cover 2011 • NOAA ETOPO1 Bedrock • Oceanographic Forecast Model - East Coast and Gulf of Mexico • Oceanographic Forecast Model - Global Ocean • OpenStreetMap Basemap • NOAA Recent GOES Weather Satellite Imagery • NOAA Recent Satellite Emulated Lightning Strike Density Imagery • NOAA Recent Weather Radar Imagery • Sandwell v23 Vertical Gravity Anomaly • Short-Duration Hazards - Watches and Warnings • SRTM 30m & 90m DEM Color & Gray • National Wetlands Inventory • NOAA Significant Wave Height • NTT AW3D 5m • Spatial on Demand Basemap (NAIP Imagery) • Spatial on Demand Global Reference Basemap • Spatial on Demand Topographic Map • TCarta Bathemetry and Contours • TCarta Ocean Basemap • Texas 2015 Orthoimagery Project • Tropical Cyclones - Watches, Warnings, and Track Intensity Forecasts • US NRCS Soil Survey Database • US NRCS Soil Survey Database • Tropical Cyclones - Watches, Warnings, & Forecasts • USGS 1,000,000 Scale Bathymetry • USGS 10m National Elevation Dataset (NED) • USGS 1m National Elevation Dataset (NED) • USGS 3m National Elevation Dataset (NED) • USGS Alaska 5m National Elevation Dataset • USGS Benchmarks • USGS DRG Topographic and Imagery Hybrid • USGS Landfire Existing Vegetation Cover • USGS Landfire Existing Vegetation Height • USGS Magnetic Anomaly • USGS Scanned Topographic Maps (eTOPO) • USGS The National Map NED Hillshade Hybrid • USGS The National Map Topographic Maps • Vricon DSM
  8. 8. Multi-Source Imagery Options • DigitalGlobe Imagery • DigitalGlobe Vivid • DigitalGlobe Most Recent • DigitalGlobe Best Resolution • DigitalGlobe Historical Basemaps • Bing Imagery • Google Imagery • NAIP Imagery • eDOQQ Historical Imagery Cached basemap delivering visually appealing imagery Prettiest basemap – cached, seamless and cloud-free Most recent data available from DigitalGlobe satellites 30cm imagery from WorldView-3 and WorldView-4 satellites Historical imagery basemap with 2014 (and before), 2015, and 2016 snapshots Same Bing imagery you use at home Same Google imagery you use at home or in the car Aerial imagery from the USDA Farm Service Agency Aerial imagery collected by the USGS in the 90’s
  9. 9. Other Multi-Source Data Options • DigitalGlobe Elevation • 1m, 3m, 5m, and 10m NED with Hillshade • eTOPO Topographic Maps with Hillshade • USGS Topographic Maps • Google Terrain • ASTER GDEM 30m • STRM 30m DEM • DigitalGlobe StreetMap • Google StreetMap Shaded terrain with contours and reference data via DG Digital Elevation Model with hillshade from USGS covering most of the US Seamless USGS DRG topographic maps with the collars removed covering the entire US TMN Digital Topographic Map dataset from USGS Shaded terrain with contours and reference data via Google Hillshade representation of 30m ASTER Radiometer Hillshade representation of the 30m NASA SRTM DEM Seamless street map based on contributions from OSM Same Google street map you use at home or in the car
  10. 10. DigitalGlobe Basemaps • Professional Basemaps – Premium DigitalGlobe imagery which has met specific requirements: • Specifications: < 20% Cloud Cover, < 30 Degrees Off Nadir, > 30 Degree Sun Angle, and 30-50cm Imagery • Metadata: Date of Collection, Sensor Name, and Image Boundary • Available for Most Recent, Best Resolution, and Historical Basemaps (2014, 2015, and 2016 calendar years) • Stated Accuracy: < 10m CE90, but typically 4-5m CE90
  11. 11. Imagery Collected Over Last Year
  12. 12. Imagery Collected Last 6 Months
  13. 13. Energy Focus Basin Basin Area SQKM % Coverage in last 12 months Bakken 14,2493 100% Canada Oil Sands Athabasca 72,901 96% Canada Oil Sands Cold Lake 13,642 98% Cook Inlet Alaska 88,902 100% DJ/Niobrara 42,948 92% Eagle Ford/Gulf Coast 173,798 99% Fayetteville 11,571 100% Haynesville 42,046 100% Marcellus/Utica 140,983 98% Northslope Alaska 64,244 71% Permian/Delaware 273,012 95% Powder River 52,161 100% San Juaquin 36,248 100% Woodford/Anadarko/Scoop-Stack 172,126 90%
  14. 14. Using Imagery and Multi-Source Content for Lease Mapping
  15. 15. Lease Mapping Difficulties • Imagery and other geospatial data can be used to visualize and map leasehold and leased asset locations. • Users are required to spatially define and maintain accurate leasehold boundaries based off of lease descriptions, legal descriptions, boundary and property information. • Problem: Sometimes lease descriptions and property boundaries suffer from inaccurate and outdated historical data sources, i.e. rudimentary paper maps, incorrect plats, and old surface/mineral ownership information. • How much have ground conditions changed? • New buildings? New roads? Did someone build a lake?
  16. 16. What’s the Solution? • High resolution, up-to-date, and accurate imagery (along with other geospatial data) is required to ensure that lease and land boundaries are mapped correctly. • Spatial on Demand brings the geospatial data you need directly into your workflow, streamlining the effort required to map leases – Saving time and work. • DigitalGlobe high-resolution imagery, along with Google, Bing, NAIP, and multiple other sources of imagery, takes the guess work away from defining the correct lease and land boundaries. • DigitalGlobe high-accuracy imagery ensures that the lines on your map represent real locations on earth – Without always needing to send a surveyor out on location.
  17. 17. What’s the Value? • Improve planning and efficiency of your field crew’s site visits. • Allowing to prioritize site visits, while bypassing others • Ensure royalty payments are correctly allocated to the proper parties, thus avoiding disputes and potentially costly litigation. • A ‘picture’ can help tell a story that a document can’t • Quickly generate and maintain a centralized, digitized, current repository of leasehold information across your organization. • Multiple sources of recent and historical imagery within Spatial on Demand allows a user to understand the current and past layout of an area. • What was there 15 years ago? 5 years ago? 6 months ago? • Could save you from having to purchase additional imagery
  18. 18. Example: Oklahoma City Area DigitalGlobe StreetMap – 2018
  19. 19. Example: Oklahoma City Area eTOPO – 1983
  20. 20. Example: Oklahoma City Area Google Terrain – 2018
  21. 21. Example: Oklahoma City Area eDOQQ – February 1995
  22. 22. Example: Oklahoma City Area DigitalGlobe Historical – June 2010
  23. 23. Example: Oklahoma City Area Bing Imagery – April 2014
  24. 24. Example: Oklahoma City Area NAIP – June 2015
  25. 25. Example: Oklahoma City Area DigitalGlobe Historical – October 2016
  26. 26. Example: Oklahoma City Area Google Imagery – Est. January 2018
  27. 27. Example: Oklahoma City Area DigitalGlobe Most Recent – August 2018
  28. 28. Example: Oklahoma City Area eTOPO with DigitalGlobe Most Recent
  29. 29. Example: Oklahoma City Area Google Imagery – Est. January 2018
  30. 30. Example: Oklahoma City Area Google Imagery – Est. January 2018
  31. 31. Example: Permian Basin eTOPO – 1966
  32. 32. Example: Permian Basin eTOPO – 1966
  33. 33. Example: Permian Basin eDOQQ – December 1995
  34. 34. Example: Permian Basin DigitalGlobe Historical – July 2013
  35. 35. Example: Permian Basin Texas Orthoimagery – October 2014
  36. 36. Example: Permian Basin DigitalGlobe Historical – July 2015
  37. 37. Example: Permian Basin NAIP – October 2016
  38. 38. Example: Permian Basin Google Imagery – Est. August 2017
  39. 39. Example: Permian Basin DigitalGlobe Most Recent – May 2018
  40. 40. Example: Permian Basin eTOPO with DigitalGlobe Most Recent
  41. 41. Example: Permian Basin Google Imagery – Est. August 2017
  42. 42. Other Use Cases • Pipeline/Transmission Line Planning • Use imagery and geo-spatial data to route pipelines or transmission lines across large distances and rugged terrain - Done in combination with, or even to supplement ground surveys. • Road Mapping • Visualize and map lease roads around your assets and facilities. Roads interconnecting well pads and assets in the field can be accurately mapped to update your internal road databases and allow crews to quickly navigate to each location. • Change Detection • Identify and monitor changes within specified areas – Disturbed earth, construction, new structures, new roads, new wells, and removed features. • Asset Monitoring/Emergency Response • Asses emergency situations with up-to-date imagery, historical data, monitoring services, terrain data, street and cultural maps. Examples include pre and post-weather events, flooding, spills, explosions, and security events.
  43. 43. Questions?