Accommodating Non-Spatial Data Analysis in Decision-Making Workflows

| |

non-spatial data analysis
Non-spatial data analysis is just as important as analyzing spatial data during hydrocarbon asset development planning. The combination of non-spatial data and varying streams of spatial data leads to better, faster, and more confident decisions.
That’s why data visualization software is so crucial, as it combines spatial and non-spatial data into simplified viewing formats. The ability to interpret non-spatial data and link it to the relevant subsurface geologic conditions of a prospect or field is critical to planning the development of the asset. Non-spatial data, such as completion diagrams, core photos, and well logs are most impactful when merged with subsurface data to further illuminate subsurface conditions. Only then will analysts see the entire picture to be able to make the best decisions that maximize production goals.

Obtaining Efficient Data Analysis

Non-spatial data contains pertinent information that could enhance asset operations, especially when interlinked with geospatial data. Since non-spatial data is usually without a geographic location, such as reports in the form of 1D document files, users need software that can link the data to the 3D representation of a well. Consider production data, for example.
Asset teams need to know exactly where in the well the production is happening. Being able to visualize that production data in a 3D representation allows for teams to obtain a better understanding. There may have been open perforations in several different places that produced oil and that production could’ve been commingled with another well and all a team knows is what was pumped out.
Another point to consider is the amount of time it saves to interlink non-spatial and spatial data. Instead of having to spend a significant amount of time analyzing the producing layers to figure out how to divide up the production amongst the producing layers, 3D visualization allows asset teams to look at adjacent wells that are producing out of one layer to get a sense of what’s going on in another well producing out of another layer. This allows for a better estimate of the oil production.
Data visualization software also helps users by:
  • assessing the right location to develop a field
  • factoring in surface infrastructure and well locations
  • considering various regulatory standards before developing the field
Further, this type of software will help users understand the limitations that a field may pose to campaign endeavors. It will also help teams work collaboratively and overcome some of the toughest challenges that a field may present to engineers. This is enhanced through the binding of non-spatial data and spatial data.

Economic Benefits of Non-Spatial Data Analysis

Since topography is a primary influence in the cost of each well, users need information extracted from non-spatial data analysis that highlights the best well location. For instance, drillers will need to establish operations away from existing infrastructure such as pipelines.
Data visualization software can also connect prime geological locations with surface conditions that may enhance or hamper hydrocarbon extraction goals. In the event of an obstacle, team members have enough leeway to work around challenges and find the best paths that would maximize reservoir exploitation.
For example, if an energy company must negotiate with a seller in a land deal, non-spatial data analysis can provide a greater understanding of the best areas to exploit. Knowing the optimal drilling spots will be an immense asset during the negotiation process, thus allowing energy companies access to the most lucrative spots of a mineral owner’s land. This is especially true when dealing with well positioning, as energy may contend with government boundaries that restrict additional drilling.

How Non-Spatial Data Analysis Aids Regulatory Compliance

Surface information can also be collected and compared to subsurface data to fully assess how operations will conform to regulatory frameworks. Regulatory guidelines could pertain to tax collections or royalty disbursements. Regardless, data visualization software can help analysts establish suitable boundaries while maintaining stellar records in case state officials need to examine them.
With the merger of spatial and non-spatial data, users can assemble videos and photos of a surface area and compare it to subsurface data to get an operational outline. It also provides analysts with the technology needed to display before-and-after photos that assess how the development would affect the landscape of a particular area and if it falls out of the bounds of state or federal regulations.
To stay ahead of federal or state authorities, engineers are best served via the integration of surface information with subsurface drilling data, such as petrophysical and geological data. This integration helps teammates understand the parameters that everyone must operate under, ensuring that all team members remain on the same page. Any schematics, reports, documents, or photographs would be included in the large geospatial context of the data scheme. This provides stellar visuals in the form of maps, models, or displays that can highlight ownership boundaries. The software can also give clear warning signs if a project veers off course and surpasses administrative confines that could result in fines and stalled operations.

Non-Spatial Data Analysis and Visualization

Through stellar visuals, analysts can better understand surface and subsurface conditions using data visualization software like CoViz 4D. Looking at a picture file is fine but it doesn’t mean much unless teams can map it and visualize it to see the bigger picture. That’s where CoViz 4D comes into play. It will help analysts achieve the best well-positioning strategies that will foster greater production numbers and provide a safer drilling environment for crew members. With so many non-spatial datasets at play, CoViz 4D provides seamless integration into a cohesive viewing system that all team members can understand.
Through stellar visuals, analysts can better understand surface and subsurface conditions using data visualization software like CoViz 4D.
The addition of non-spatial data will guide teams in finding creative solutions to the toughest surface challenges, ranging from government oversight to mineral owners. With a successful merger of spatial and non-spatial data, operators can streamline workflows efficiently and optimize strategic development. The ability to combine both non-spatial and spatial data into one environment will also help users find the most advantageous zones that will yield the most hydrocarbon extraction opportunities, thus yielding greater profits. Image courtesy of everything possible.
CoViz 4D, a data visualization analytics software from Dynamic Graphics, Inc., combines surface and subsurface information to provide expansive details into drilling campaigns. It provides a way for energy companies to integrate miscellaneous data, such as well logs and photos, into a central viewing hub to enhance data made available to team members. Contact us today to learn more about data visualization software and non-spatial data mergers.

FURTHER READING

Depth Conversion of 3D Seismic Data Through Visualization

Time-domain on top with a velocity cube, seismic cube, and interpreted horizons. Depth domain below with the depth-converted seismic cube, wells, well tops, and reservoir simulation grid derived from the depth-converted horizons. Data used by permission of the...

How Data Integration Fosters Collaboration in the Oil and Gas Industry

Asset teams integrating multiple and disparate data sources fosters better understanding and communication, leading to better decision-making.Drilling and completion operations are commonly the most expensive phases in developing hydrocarbon assets. Successful...

An Integrated Approach to Mature Field Production Optimization

Among the many challenges of managing a mature oil field is the need to obtain an accurate understanding of its remaining recovery potential. Greater accuracy in assessing characteristics that influence recovery—geologic variability changes in fluid saturation, water...

Mitigating Common Risks in Oil and Gas Production

CoViz 4D provides a collaborative platform for multi-disciplined asset teams to key aspects of production in order to mitigate risk and costly downtime.While there’s no way to completely eliminate mishaps and failures that can create potential risks in oil and gas...

Well Trajectory Design: Safe & Drillable Well Planning via Data Integration

The planned wellpath shows ellipsoids of uncertainty and the geologic (blue) (left image), along with the ″eroded″ driller′s (yellow rectangles) targets in context of the geologic model (right image) and nearby wellpaths.Well trajectory design is noticeably more...

Using Drilling Data Analytics to Improve Drilling Performance

The majority of active horizontal wells are monitored in silos with most visualization performed in 2D. In addition, plans are not often completed collaboratively which ultimately risks losing pay. CoViz 4D and IWD work together effectively to assure that mutual goals...

Seismic Reservoir Monitoring Through Visualization

An ideal design, development, and management plan for hydrocarbon asset development comes from having a better understanding of  all known geological and petrophysical aspects of the subsurface. But given the dynamic nature of the reservoir and its attributes, petroleum professionals can encounter some complexities in the process of in-depth analysis.

Share on Social Media