Data-gathering and processing can be a laborious task that requires extensive expertise. But the best software offers easy-to-read data to personnel, irrespective of their discipline or specialty. Analysts need data visualization tools that merge data across multiple disciplines in the oil and gas industry, helping users make sound decisions that enhance upstream or downstream campaigns. With multiple streams of data to interpret, such as 3D and 4D models, and seismic and magnetic surveys, merging all data into a digestible format is a difficult task without the proper analytical software.
Additionally, co-visualized data displays shift over long periods, allowing operators to make adjustments or calculations that correct the course of campaign operations. Without co-visualized analytical data, overlooked defects and misplaced assumptions could arise, compromising operational endeavors. Overall, co-visualized data affords stellar 4D/temporal visuals, efficient teamwork, and reduced operational costs.
4D Functionality: Far-Reaching Analytics
Four-dimensional seismic data can fully optimize renderings of hydrocarbon reservoirs via sequence animations or snapshots of pertinent data. Data fusion promotes precise visualization, but 4D capacity also assesses how management decisions affect reservoir quality. If assessing seismic data, for example, 4D helps analysts see seismic data in a pure spatiotemporal setting that maximizes detail.
Software that enables data visualization in the oil and gas industry also harmonizes non-spatial data, such as spreadsheets, to achieve comprehensive analytics of reservoir profiles. But 4D seismic data comprises a larger whole that must be pieced together with other datasets. Other subsurface datasets include:
- well log data
- microseismic data
- production data
- structural models
A key part of 4D seismic assessment is the seismic history matching system, where users can enhance flow model reservoir comparability with other critical attributes, such as fluid or pressure fluctuations, stemming from time-lapse seismic shifts. Though, this stream of unique data can be hard to interpret, especially when separated from other reservoir management datasets. With an integrated regimen, all team members can understand the data, regardless of volume or source of origin, with software that isn‘t difficult to navigate.
With an integrated regimen, all team members can understand the data, regardless of volume or source of origin, with software that isn‘t difficult to navigate.
A More Collaborative Environment
Co-visual software allows team members to view different strands of data concurrently, but data migration from other disciplines is just as imperative. Additionally, data integration pulls various personnel from different departments into a single team—preventing each member from analyzing single datasets without considering other relevant data.
Software integration can enhance teamwork in other ways, such as:
- nurturing communication
- reducing correspondence between departments
- allowing teammates to get a full reading of project goals
Moreover, team members are further in sync with one another, fostering a collaborative environment that can tackle obstacles and implement viable strategies. With that, all data inputs can be assessed individually, or integrated into a centralized system to strengthen the analysis.
Users can include various inputs, such as:
- seismic attributes and volumes
- fluid production
- live drilling feeds
- remote sensor imagery
Best of all, team members don‘t have to be experts in the data they‘re interpreting, nor do they need to determine the purpose or location of data strands. Data assimilation also eliminates the need for multiple software applications, which can be costly and time-consuming.
The Cost Factor
Compared to several software packages, consolidated data helps managers save valuable time and costs. Additionally, co-visualized data helps teammates utilize their allotted hours efficiently, avoiding unnecessary overtime.
Separate software packages require heavy investments, not to mention the personnel needed to process and interpret each of the data sources. On the other hand, analysts can invest in a single software that mines all data strands into a single package.
When it comes to data visualization in the oil and gas industry, co-visualization reduces the likelihood of overlooked defects or campaign mishaps that can be costly. And, centralized software broadens the time necessary to draft appropriate solutions and pinpoint any inconsistencies within energy projects. Failure to integrate data streams can result in mishaps and costly failures.
- Example: A well-planning excursion yielded sufficient data using a single data component. However, operators failed to visualize a well log along the borehole. After further investigation, analysts discovered that they were drilling in misguided areas. The necessary data was available, but the lack of integration failed to give analysts a full understanding of the well in a larger context. Rather, the analysts interpreted separate data streams from different software packages, painting a skewed rendering of well integrity.
With integrated software, analysts could have avoided drilling in the wrong areas, while maintaining wellplan integrity. Misplaced wells are highly expensive to correct and something that could have been avoided with fully-realized data. Single datasets can also spot anything out of the ordinary within wells, allowing operators to address defects immediately.
The Analytical Evolution of Data Visualization in the Oil and Gas Industry
Four-dimensional capacity is one of the best solutions in terms of achieving a resolute understanding of oil and gas campaigns. Through seismic history matching, analysts can integrate separate streams of data into a cohesive system that‘s accessible to team members across disciplines, assisting all parties in making the best decisions. With integrated software, team members can determine viable solutions to a wide array of challenges.
Further, data visualization in the oil and gas industry is among the best analytical tools that help departments reduce excess communication and lower costs. And, team members don‘t have to be experts across multiple disciplines to read alternative data accurately. In order to detect any deviations or hazards that could compromise operations or jeopardize worker or public safety, it is critical that team members employ a comprehensive software package that offers the most accurate data visualization and analysis.