Visually Optimizing Big Data in the Oil and Gas Industry

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3d seismic data

Integrating large volumes of seismic, reservoir simulation and production data is paramount to optimizing big data analytics. Data used with permission of owner.

Enhanced computing power, and instrumentation of production assets have fostered the acquisition and generation of ever-greater volumes of data throughout the well and field lifecycle. These data, derived from separate investigations and analysis by multiple disciplines, can include information from geophysical, geological, petrophysical, reservoir, drilling, completion and production engineering sources. From exploration through decommissioning, nearly every discipline involved can benefit from big data analytics in the oil and gas industry to improve decision quality, avoid errors, and optimize production.

Data are acquired, generated, and analyzed using a wide range of software products. Although these products greatly aid data analysis by enabling professionals to transform huge volumes of data into meaningful 2D and 3D interpretations, the products and their datasets focus on only a subset of available big data. In other words, individually, they may provide value, but they don’t create the complete operational picture needed to optimize big data analytics in the oil and gas industry. In order to successfully optimize big data, asset teams must be able to co-visualize all datasets in a way that simplifies analysis.

The Value of Data Co-Visualization in Context

When the individual disciplines involved in exploration, development, and planning can visualize and analyze their data in the context of other relevant data, they obtain a more detailed and accurate understanding of their operating environment. An optimized co-visualization of big data supports well-informed decisions that reduce risk, improve efficiency, and maximize the value of oil and gas assets.

For example, by combining and co-visualizing seismic, geologic, and reservoir data together, a drilling engineer can safely and confidently plan the well path, avoiding nearby wells, faults, and other geologic features that could potentially delay or jeopardize drilling and/or production efficiency. Reservoir engineers, intent on developing as accurate as possible simulation models, benefit from incorporating production data, well logs, and cellular property grids as they build and refine their models.

Nearly every discipline associated with the well lifecycle benefits from visualizing and analyzing their data in context of other relevant geologic, engineering, and production data. The biggest challenge, however, is the integration and geospatial normalization of these many and varied datasets.

Achieving Optimized Big Data Analytics in the Oil and Gas Industry

The optimal analysis and complete understanding of the economic impact of the interrelationship of the various datasets require a software capable of comprehensive data integration to support accurate spatial and temporal data visualization. CoViz 4D by Dynamic Graphics, Inc. (DGI) addresses the challenges of integrating and normalizing multidisciplinary datasets associated with exploration, development, and production of oil and gas assets.

CoViz 4D includes a data registry that facilitates the rapid integration of datasets from dozens of popular software data formats for reservoir simulation, well logs, well paths, 3D seismic, vector and raster GIS, satellite imagery, geomechanical models, 3D models, and many others. The data registry approach eliminates the time and expense of custom data integrations and allows petroleum professionals to incorporate the appropriate datasets in their analysis in minutes.

Despite differences in origins, coordinate reference systems, date and time formats, and attribute names associated with the individual datasets, CoViz 4D ensures all data are automatically normalized to present consistent spatial and temporal units during visualization. This process ensures different data types like faults, well paths, and structural tops are clearly differentiated and multiple data types are visualized together to accurately present the areas of geospatial interest for analysis.

CoViz 4D Integrates, Visualizes, and Analyzes Diverse Spatial and Temporal Datasets

CoViz 4D has the capability to integrate large, multidisciplinary datasets into a single, highly interactive co-visualization of all available and relevant information. Datasets can be sourced from dozens of industry vendors and quickly incorporated into a model that gives petroleum scientists and engineers a more complete and accurate picture of assets, including information from disciplines that they traditionally don’t utilize.

The ability of CoViz 4D to integrate, visualize, and analyze diverse spatial and temporal datasets facilitates closer cooperation among the disciplines, leading to better risk management and production optimization. For producers looking to optimize big data analytics in the oil and gas industry, CoViz 4D presents a powerful means to achieve that goal.

CoViz 4D, a data visualization analytics software from Dynamic Graphics, Inc., gives oil and gas professionals the ability to easily access and combine all relevant data associated with petroleum assets. Powerful visualization capabilities enable you to explore data relationships, calculate and show inferred data, and analyze how data changes over time, allowing your team to confidently make decisions on the field that positively impact profit and reduce operational risk. To learn more about CoViz 4D, contact our team.


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