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Efficient Sorting of Oil and Gas Big Data

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(efficient) sorting of oil and gas big data

Efficient Sorting of Oil and Gas Big Data.

The oil and gas industry has used big data as a way to fill the information gap in all phases of asset development within an oil field. Associated historical data mostly comes from an individual well in a single geospatial location. From exploration to completion and production, the wide range and considerable amount of data present the challenge of data handling. When thousands of wells are involved, data queries can get difficult with interpreters spending more time on searching and arranging these data.

Technology capable of efficient sorting of oil and gas big data provides an ideal data analytics approach. The ability to have a simplified understanding through effective handling of big data helps engineers and geoscientists assess the reservoir attributes and their effect on the economic future of the project.

Big Data in Oil and Gas Field

Improvements in technological efficiency have helped generate large amounts of oil and gas data at a much faster rate. Stored data sets are collected using logs and seismic surveys and may consist of information such as a well’s identification header, drilling history, completion history, workover or re-completion data, and production tests and volumes. In a single well study, these data can present a very narrow view of the subsurface due to the dynamic nature of the reservoir. An extensive oil field study requires knowledge of multiple wells. However, in doing so, the volume of data can increase dramatically leading to an increase in the complexity of the data-driven analysis.

In conventional and unconventional reservoirs, big data analysis supports the detection of uncertainty in the data, supports reservoir characterization, improves forecasting, identifies multi-attribute correlation, and better estimates the productivity of a well. Asset teams can use this data to make informed decisions that can have a significant effect on asset development and its economy.

The way to enhance oil and gas big data analysis is with technological support that can effectively process, sort, and filter the data as per the necessity of the analysts to provide a sophisticated big data solution.

Efficient Data Sorting in Oil and Gas Asset Development

Technological platforms like CoViz 4D from Dynamic Graphics, Inc. (DGI) can help in the simplification of big data analysis. Along with effective data integration and big data handling capabilities, the visualization ability can enhance the data analysis experience. The software provides:

  • Excellent user interface with the ability to handle different types of data
  • Data filters to easily handle and identify data of interest from a massive dataset
  • Create cross-plot or histograms of the data that identify outliers, missing and unscaled data
  • Interactive approach with simultaneous filtering and visualization of data
  • Faster processing and query handling of a large amount of data, allowing interpreters to identify and resolve the bad data faster or facilitate interpolation in case of missing data
  • Grouping of wells for efficient inter-well attribute analysis

3D Wellbore Visualization for Improved and Expedited Analysis

3D wellbore visualization along with integrated subsurface and infrastructural data and models allow asset teams to precisely analyze the subsurface anomalies that can impact locating existing wells or planning infill drillings. Visualization capabilities enable accurate identification and quantitative analysis of uncertainty related to horizontal or direction wellbore drilling due to factors including tool limitations and environmental factors inaccuracy in data reading or calculation.

CoViz 4D and WellArchitect facilitate uncertainty visualization along the well path through the integration of the earth model and well plan trajectory for error analysis. These softwares provide engineers with the ability to calculate and display ellipsoids of uncertainty in an interactive platform. These uncertainties are displayed along the well path and is an indication of spatial variation from the actual well position. These softwares also allows creating a 2D/ 3D bubble map of production data. Cumulative production mapped along the wellbores of local offset wells, allows asset teams to see the production status of the wellbore, thus, assisting them to make informed decisions about the further need for well planning and drilling.

Tools for Enhanced Well Planning and Visualization

CoViz 4D and WellArchitect from Dynamic Graphics Inc., are effective tools for integrating multiple datasets to achieve an elaborate 3D visualization output for effective well design.

The powerful capabilities of CoViz 4D can be used in quantitative data analysis for effective well path planning and design. In combination with WellArchitect, the users can easily view the wellbores in their correct geospatial location alongside the relative positional uncertainty, offsets uncertainty, and targets uncertainty to examine the acceptable range of error in well design.

The software platforms allow easy and simplified data integration and analysis for effective 3D wellbore visualization. The precise analysis and evaluation allow drilling and reservoir engineers, geologists, and management to accurately evaluate existing and planned wellbore locations to avoid a potential collision and inaccurate targeting risks.

CoViz 4D, a data visualization and analytics software from Dynamic Graphics Inc. gives oil and gas professionals the ability to easily access and analyze relevant data associated with HPHT reservoirs. Powerful visualization capabilities enable reservoir teams to explore data relationships, calculate gradients, and more accurately analyze how subsurface conditions influence drilling and completion methods. To learn more about CoViz 4D contact our team.


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