LiDAR, satellite, and hyperspectral data combined to render an image of Ottawa, Canada.

Geospatial Analysis in CoViz 4D

CoViz® 4D excels in scene building and data integration, key components in Geospatial Analysis. Geospatial datasets frequently involve large and varied sets of data, including:

  • topography
  • satellite and hyperspectral imagery
  • LiDAR
  • buildings (footprints / rooflines)
  • vehicle / traffic information
  • roads and infrastructure
  • vegetation
  • hydrological information
  • wildlife areas and other envelopes (e.g., air space restrictions)

These diverse data streams are typically derived from disparate sources and CoViz 4D includes automated workflows for reading many industry-standard, third-party data formats and integrating them in a common visual and analytical environment.

A nearly one-billion-point dataset of the Canadian city of Ottawa is shown in impressive detail, and can easily be manipulated and interrogated in CoViz 4D. Contains information licensed under the Open Government license, Canada. Imagery provided courtesy of Digital Globe.

Once the surface scene is constructed in CoViz 4D, quantitative analysis of the objects in the scene is achieved through numerous built-in tools. For example:

  • The slope and aspect of ground terrain can be calculated to assess drivability during ground operations or the safety of potential aircraft landing zones.
  • Distances between objects can be calculated, such as from a building to a road or an aircraft to a building, and these distances can be updated in near real-time to provide a clear visual assessment as conditions change.
  • Routes can be planned on-the-fly in the interactive visualization environment and missions rehearsed prior to execution.
  • Using a special visualization mode, the user’s eyepoint can be transferred to a moving object, for example, to obtain a pilot’s eye view during an airborne mission.

Terrain Analysis of the Boulder, Colorado area showing topography colored by percent slope, along with vegetation and building locations. (Grigsby, Shane, 2013, Leaf-on LiDAR point cloud data for solar site assessment of the CU-Boulder campus, Department of Geography, University of Colorado at Boulder, digital media.)


CoViz 4D 15.0

offers numerous new features including the Minimodeler module for interactive creation of synthetic seismic volumes; a new 2D multigrid file object; vastly improved RESQML support; numerous new features in the depth calibration workflow; and Petrel 2022 Ocean Plugin support, amongst many other changes.


A Case Study of Generating Synthetic Seismic from Simulation to Validate Reservoir Models

Dhananjay Kumar, Jing Zhang, Robert Chrisman, Nayyer Islam, and Matt Le Good, bp, use the Sim2Seis workflow to help understand the uncertainty of key variables in an ensemble of simulation models from a field in the Gulf of Mexico.


Practical Example of Data Integration in a PRM Environment, BC-10, Brazilopens PDF file

Hesham Ebaid, Kanglin Wang, Marcelo Seixas, Gautam Kumar, Graham Brew and Tracy Mashiotta examine enhanced workflows and solutions for optimizing the utility of Permanent Reservoir Monitoring data in a deepwater setting.


Working With the 4th Dimensionopens PDF file

Graham Brew, Dynamic Graphics, Inc., USA, and Jane Wheelwright, Dynamic Graphics, Ltd, UK, discuss the integration of 4D seismic data into the reservoir management workflow.


Visualizing the Reservoiropens PDF file

A solution that offers a dynamic, temporal visualization environment for data fusion and integrated reservoir surveillance.


Visualizing Everything at Onceopens PDF file

Dynamic Graphics has developed a tool which can visualize multiple datasets from an oil field simultaneously in 3D and 4D—from an overall view of the basin to a view of the individual wells and reservoirs—and you can see how it changed over time as well.


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