Enhanced computing power, wireless technologies, and instrumentation of production assets have fostered the acquisition and generation of ever-greater volumes of data throughout the life of an oilfield. These data can include geophysical, geologic, cellular property models, reservoir simulations, drilling, production, seismic attributes, structure and properties, and well logs. 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 transforming huge volumes of data into meaningful 2D and 3D visualizations, the products and their datasets focus on only a subset of available big data. In other words, individually, they 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 visualize all datasets in a way that simplifies analysis.
Seismic Data Established the Foundation for Data Visualization
Seismic datasets are the oldest visualized 3D datasets utilized in the oil and gas industry. The 3D visualization of seismic data and interpretive capability of commercial software has had an enormously positive economic impact over the past 40 years, particularly in conventional plays.
The ability to acquire and manage huge data volumes coupled with increasingly more powerful and affordable computing power has evolved the visualization of seismic data. The result: a more complete and accurate definition of geologic features with the addition of direct hydrocarbon indicators via seismic attribute analysis.
More recently, the unconventional plays that continue to depend on traditional geoscience and engineering data and analyses are incorporating considerable additional datasets into the already large volumes traditionally used.
The additional data sources and software products now being employed have the potential to enhance the economic and technical understanding of the unconventional reservoir assets. However, to obtain the greatest value, these spatially- and temporally-defined datasets need to be combined with the traditional geoscience and engineering data and analyses provided by conventional technologies.
The Value of Data 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 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 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 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 normalization of these many and varied datasets.
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.
Achieving Optimized Big Data Analytics in the Oil and Gas Industry
The optimal analysis and a full 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 products such as Petrel, GoCAD, Roxar, EarthVision, Elfin, Eclipse, Nexus, CGM, OpenWorks, and SeisWorks. 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 and naming conventions during visualization. This process ensures fault points, well path points, and structural tops are clearly differentiated and multiple data types are combined to accurately present the correct 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 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.