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Subsurface Data Analysis and Visualization: Exploring Spatial and Temporal Diversity

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subsurface data analysis
Visualization and analysis of diverse subsurface spatio-temporal data such as reservoir simulation and structural models, 4D seismic, wellbore completions, streamlines, and production data foster improved decision-making and field management across all disciplines of asset teams.
Subsurface data analysis requires software that offers great flexibility. In terms of visualization, a precise level of detail is required, especially when magnifying spatial data. To obtain further analysis, it’s often beneficial when a software package has temporal features that allow users to examine subsurface conditions ranging from milliseconds to years.
Because oil and gas data is extremely variable in type, source, and vintage, it can be difficult to analyze. Software with the ability to merge multidisciplinary data into a single viewing environment—while taking into account spatial and temporal diversity—allows users to obtain detailed subsurface data analysis for better campaign decision-making.

Constraints That May Hinder Subsurface Data Analysis

Service companies provide valuable information, but they can hamper the analytical process, as format requirements and separate data packages consume more time than necessary. Service providers often provide data in their own proprietary format that requires specific conditions to view comprehensively. And, the data collected over time can call for different format standards that could render previous data invalid or hard to extract.
Operators know more than anyone that field production can take decades, and with advancing technology also comes the need to use new formats and standards that could overshadow existing data that’s relegated to outdated formats. Common interpretive software generally does not provide support for the broad range of support data needed for project clarity. It may render most temporal subsurface data ineffective, thus disrupting the analytical process.
When it comes to spatial data, the ability to provide additional context into service conditions can be marred if the software isn’t capable. For example, when a drilling operation does not have ready access to the geological structure, the drill bit can be trapped between shale layers within a thin sand layer, or the drill bit can bounce off of a fault surface due to the fault geometry. Either of these situations can result in expensive lost days of productive drilling. Making all relevant data available to the drillers can save considerable time and money.
An integrated software solution can help analysts by:
  • combining spatial and temporal data seamlessly
  • adapting to different formats and technological advancements
  • providing added clarity with crisp visuals and powerful zooming features
  • providing integrated analytical tools which make use of all available data
Companies can also save money through the use of a single software package, as opposed to multiple software packages. A single software package with the capabilities to integrate multidisciplinary data eliminates confusion during the data-collection process and ensures that all data streams are gathered effectively.

Exploring Spatial and Temporal Diversity With Integrated Data Visualization and Analysis

The key to the successful merger of spatial and temporal data is integrated data visualization and analysis. It can fuse complex datasets in a 3D/4D setting that allows users to focus on analyzing the data instead of sifting through it. When it comes to 4D, for instance, data in the form of simulation and temporal seismic data can be compared to optimize history matches. Further, it fosters a wider understanding of 4D seismic responses—all of which are merged in a visual format for all team members to see.
Overall, integrated data visualization and analysis provides viewers with the following options:
  • quantitative subsurface data analysis
  • enhanced calculations of time differences
  • back-interpolations attributes of temporal and spatial data overlap
Integrated data visualization can foster a cohesive team environment by accommodating multidisciplinary data into a single package, enhancing workflows while buffering a creative environment that solves challenges. Workplace efficiency leads to sound management decisions that streamline campaigns and maximize hydrocarbon extraction.

Time-Saving Subsurface Data Analysis with CoViz 4D

With CoViz 4D, an integrated software solution, users can achieve better results in less time via effective data combination strategies. CoViz 4D accepts small-scale and large-scale data types that may seem impossible to merge on the surface. Regardless of format or discipline, this software package can make sense of mass data volumes and simplify them in an easy-to-read formatfor teams.

CoViz 4D enhances subsurface data analysis by allowing users to focus key pieces of information that can lead to better management decisions.

CoViz 4D enhances subsurface data analysis by allowing users to focus key pieces of information that can lead to better management decisions. It also fares against the test of time, able to accommodate new advancements and different formats that can complicate data integration procedures. This allows teams to integrate data in all forms without missing key data points that can highlight hazards and obstacles.

CoViz 4D, from Dynamic Graphics, Inc., provides data integration options that merge temporal and spatial data without hassle. It brings teammates from diverse backgrounds together and guides users in understanding subsurface conditions and variations in an enhanced capacity. Contact our team today so we can help you streamline workflows effectively and simplify your data integration regimen.


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