The Ease of Static and Dynamic Reservoir Data Integration in Reservoir Modeling

| |

Many different 3D and 4D data types in the same view. Well paths, logs, and tops shown in context with 4D seismic and a reservoir simulation model. Production data also shown.
The ever changing nature of the conditions in an oil and gas reservoir can only be understood when all the relevant data is collectively viewed in a common medium. Only then can the interactions between various discrete data types be studied and the reservoir as a whole described. A more accurate reservoir description reduces risk, reduces time to make decisions and therefore improves field management efficiencies.
However, one of the greatest challenges in achieving this goal is the integration of both static and dynamic reservoir data. Consider several examples of the variety of static and dynamic datasets that individually quantify one or more characteristics of a reservoir.
Static Data
Dynamic Data
Seismic surveys
Well tests
Geologic models
Fluid levels
Petrophysical data
Production history
Reservoir simulation models
Tracer data
Well logs
Geomechanical models
These and many other types of subsurface data are generated or acquired by a variety of software applications from vendors such as Schlumberger and Halliburton. These applications are the de facto tools of geologists, geophysicists, reservoir engineers, well planners, drilling engineers, and operations personnel. With these software applications, individual team members explore, model and analyze their discipline-specific data to gain a better understanding of the reservoir. The maximum value of these data is only realized when they are integrated to create a more detailed reservoir model, which may present a formidable data management challenge.

Solving the Problem of Integrating Static and Dynamic Reservoir Data

The CoViz 4D data registry solves the problem of integrating relevant static and dynamic reservoir datasets that individually characterize reservoir attributes. A data registry:
  • provides a means for individuals in the reservoir team to easily load and access their data (if using CoViz 4D, this is easily done via drag and drop to the data registry);
  • automatically imports and translates the various dataset and file types into a format that allows the data to be integrated, visualized, and analyzed; and
  • allows reservoir teams to access datasets generated by the discipline-specific software applications without needing to know how to use or run the additional software.

DGI’s data registry makes it easy to integrate and access vital subsurface datasets. Once the relevant static and dynamic reservoir data have been registered, reservoir management teams can then use DGI’s CoViz 4D, a powerful 3/4D visualization and analytic software package, to further improve the understanding of their reservoir.

CoViz 4D Facilitates Greater Efficiency and Accuracy in Reservoir Modeling

CoViz 4D from Dynamic Graphics, Inc. is the industry-leading software that gives reservoir teams the ability to visualize and analyze a wide range of data to gain a better understanding of the changing response of a reservoir over time. Using the data registry, CoViz 4D easily combines and visualizes a wide range of static and dynamic reservoir data, including seismic volumes and attributes, reservoir simulations, well logs, fluid production, and monitoring data. Ease of access to relevant data and the ability to co-visualize and analyze specific data in the context of other subsurface data improves the efficiency and accuracy of reservoir models.
Asset teams can apply a wide range of visualization techniques, analytic tools, and utilities available in CoViz 4D to collaboratively evaluate and interpret integrated reservoir data. The insights that can be gained using these techniques include:
  • depict a geocellular grid, including seismic volume, geologic model, wellpaths, and well logs;
  • highlight fault locations between cells and evaluate the influences of faults on flows
  • evaluate transmissibility factors across boundaries;
  • detect non-neighbor connections relative to faults and non-stratigraphic boundaries;
  • determine reservoir flow patterns relative to particular cells;
  • easily identify anomalies, such as a well located outside of a reservoir simulation grid; and
  • compare wells and cross-correlate factors to learn how similar or disparate attributes affect performance.

Visualize Reservoir Evolution Over Time

CoViz 4D also enables reservoir teams to evaluate reservoir evolution over time by viewing snapshots or time sequence animations (4D)using relevant static and dynamic reservoir data. Visualizing reservoir evolution over time allows reservoir teams to see how decisions have affected reservoir performance. Based on that insight, teams can propose strategies to optimize the recovery of remaining hydrocarbons.

Efficiently Evaluate Simulation Parameters to Determine the Best Model

To improve the accuracy of reservoir models, CoViz 4D allows reservoir engineers to iteratively modify reservoir simulation parameters, visualize and evaluate the results, and select the model that best characterizes current reservoir performance. CoViz 4D workflows manage the iterative modifications and visualizations of reservoir simulations. Teams using Python and/or Jupyter Notebook have the option of creating customized scripts to manage the evaluation of multiple simulation models. Workflows and scripting facilitate faster evaluation of parameters, allowing reservoir teams to significantly reduce the time it takes to determine the best model.

Integrate, Visualize, and Analyze to Create Accurate Reservoir Models

When data are integrated, visualized, and analyzed to explore the complex interrelationships among subsurface structures, attributes, and historical performance, management teams achieve a more accurate understanding of reservoir performance. The ability to easily integrate relevant static and dynamic reservoir data facilitates faster development of more accurate reservoir models that can guide operational decisions to maximize recovery going forward.

CoViz 4D, a data visualization analytics software from Dynamic Graphics, Inc., gives reservoir management teams the ability to easily integrate relevant static and dynamic reservoir data. 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 develop more accurate reservoir models and confidently make decisions that impact profit and reduce operational risk. To learn more about CoViz 4D contact our team.


Enhancing Borehole Data Analysis Through Multi-Dataset Visualization

Data acquired during drilling, in conjunction with reservoir models and seismic interpretations, can greatly improve the understanding of evolving reservoir characteristics and conditions when integrated with CoViz 4D.Borehole data obtained during a drilling process...

Geothermal Visualization: Comprehensive Examination of Geothermal Data

Various data types over a geothermal area. Data includes temperature logs, 3D seismic, 3D gravity cube, surface geology contacts, aerial imagery, and surface gravitometers. Data courtesy USDOE Geothermal Data Repository.The harnessing of geothermal energy from the...

Enhancing Mature Field Development for Bypassed Pay Extraction

Analyzing geologic structure, reservoir temperature and infill well placement for extracting bypassed pay with CoViz 4D.Analyzing several individual, temporally-spaced datasets is the basis for defining bypassed pay in mature field development. Bypassed pay...

4D Correlation of Reservoir Simulation and Seismic Attributes

4D seismic difference shown at a single time step along with a reservoir simulation grid. Comparison of the seismic response from the fluid injection can be done on multiple timesteps.  Data used with permission of owner.The oil and gas industry has been utilizing...

Identifying High Water Cut Through Comprehensive Visualization

Easily compare oil-gas-water ratios among several wells. Data used with permission of owner.The water/oil ratio (WOR) is one of the more important metrics in calculating the economic value of a producing well. Reservoir engineers calculate water cut to update reserve...

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...

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