Visually Optimizing Big Data in the Oil and Gas Industry

| |

Integrating 3D and 4D seismic with reservoir simulation models, faults, and well data (completions and production) is critical in enhancing reservoir understanding. This is easily accomplished with CoViz 4D from Dynamic Graphics, Inc.

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.


Managing Risk in Unconventional Reservoir Development Through Visualization of Geologic and Petrophysical Data

Data integration is key in managing risk in any oilfield endeavor, but unconventional plays present special challenges. CoViz 4D from Dynamic Graphics provides the data integration capability to meet these challenges. Above, we can see 3D seismic integrated with the...

Geomechanical Analysis: Better Understanding of Deformation Through Data Visualization

Vertical displacement and strain grids calculated using the CoViz 4D Geomechanics workflow. In the vertical displacement grid on the left, positive (orange) displacement in the overburden represents compaction (movement down toward the center of the earth) and the...

A Statistical Approach to Depth Uncertainty Analysis for Model Integrity

3D Depth Uncertainty Model: Depth uncertainty imported into well paths and displayed as cones of uncertainty indicating positional uncertainty to 1 Standard Deviation.Dealing with the fundamental uncertainty of subsurface environments and their hydrocarbon resources...

The Use of Tracers in Oil and Gas Industry for Better Reservoir Surveillance

Visualization showing oil tracers applied to well_13 and produced from the wells the vectors point at. Vector heads are sized to sample values. Nearby well (well_31) showing ellipses representing cumulative flowback tracer production from a previous tracer job.Tracer...

Getting Value From Publicly Available Data in Oil and Gas Industry

The oil and gas industry thrives on data, the overwhelming majority of it generated during exploration-drilling-completion-production cycles. But vast amounts of publicly-available data can provide valuable insight to guide a producer’s economic and operational...

Elevating Frac Hit Mitigation Strategies with Data Visualization and Analysis

Well-to-well communication—often found as frac hits during hydraulic fracturing—is common in unconventional oil and gas development. When the fracture network of a newly drilled well connects to an older well’s fracture network, the older well may fill with sand and...

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.

Accessibility Tools

Share on Social Media