Reducing Subsurface Uncertainty with Data Integration and Visualization

A seismic horizon and velocity model in the time domain and the same horizon, depth converted, along with the depth converted seismic cube, wellbores and horizon picks in the depth domain.

The above image in CoViz 4D depicts a seismic horizon and velocity model in the time domain (top) and the same horizon, depth converted, along with the depth converted seismic cube, wellbores and horizon picks in the depth domain (bottom). Data used with the permission of owner.

Geoscientists and engineers have the benefit of ever-greater volumes and varieties of reservoir data available to drive development and operational decisions. Yet, utilizing these data sources to provide a more detailed and accurate model of subsurface conditions remains one of the biggest industry challenges. Fortunately, a software solution, CoViz 4D from Dynamic Graphics, Inc., is helping asset teams address these challenges and obtain greater value from reservoir data to reduce subsurface uncertainties.
In this blog, we explain how the integration of a wide range of subsurface data, quantitative analytic tools, and the ability to visualize data in a collaborative 3D environment are helping asset teams reduce subsurface uncertainty and are supporting well-informed reservoir development and operational decisions.

Better Velocity Modeling Reduces Seismic Uncertainty

Depth uncertainty can result in costly mistakes associated with well planning and drilling. Miscalculation of a target depth can result in significant cost overruns tied to rig time, drill pipe expenses, and bottom hole assembly damages when actual stratigraphy and targets don’t coincide with drilling plans.
CoViz 4D helps reduce subsurface uncertainty by offering a unique velocity modelling workflow to transform seismic data into the depth domain by minimizing the depth residual at the wells. To build these 3D structural models CoViz 4D uses a series of 3D time horizons as inputs.
Depth uncertainty volume at one standard deviation.

Depth uncertainty can be seen in the CoViz 4D image above to be increasing away from well control. The actual depth uncertainty value can be imported as a wellpath attribute and displayed as a lathe plot where the radius represents the value of depth uncertainty. Data used with permission of owner.

The velocity model begins by calculating a scalar value from well pick residuals. This approach reduces depth uncertainty by then applying the scalar value, layer by layer, to the interval velocity to produce a corrected velocity model. The process corrects the first layer by applying the scalar correction to the instantaneous velocity of the layer above, then repeats the calculation for the remaining layers, correcting each in turn. The end result is a ‘tied to wells’ average velocity volume. This product will allow more accurate representations of the interpreted time horizons in depth and will greatly enhance the confidence in planning wells and calculating hydrocarbon volumetrics.
As a byproduct of the velocity correction workflow, CoViz 4D allows the calculation of a depth uncertainty model, to help reservoir teams predict depths and reduce drilling risks in undeveloped regions.

Additional Well Data Further Reduces Subsurface Uncertainty

As a field is developed, CoViz 4D facilitates the use of additional well log data from new or infill wells to further reduce depth uncertainty. CoViz 4D makes it easy to incorporate additional data and recalculate the velocity model. Using a customizable workflow, in a matter of minutes, a geophysicist  specifies the source of the new data then re-runs the workflow to improve the accuracy of the velocity and depth conversions. As additional wells are drilled and velocity models are recalculated using the newly-acquired data, the accuracy of velocity and depth conversions continue to improve, leading to greater confidence in planning and executing reservoir development activities.
In addition to offering a velocity model that reduces depth uncertainty errors, CoViz 4D enhances the understanding of subsurface environments by visualizing wells in the context of the updated velocity models that give geoscientists and engineers a clearer understanding of subsurface environments.

Improved Accuracy in Locating Targets

Geoscientists determine drilling targets using a combination of seismic, geologic, and reservoir models. Traditionally, the target information is then passed to well planners and drilling engineers via spreadsheets. This approach ignores the value of developing drilling plans in the context of the actual geology. Without a visual understanding of proposed well plans in the context of geology, well planners cannot achieve optimal well placement within a reservoir, and/or may lack the understanding of crucial hazards or markers .
Drilling targets in the context of geology and seismic visualized with CoViz 4D.

Visualizing drilling targets (yellow spheres) in the context of geology and seismic with CoViz 4D can greatly enhance the understanding of risks and uncertainties. Data courtesy Rocky Mountain Oilfield Technology Center and USDOE.

CoViz 4D overcomes this limitation, enabling asset teams to more readily identify geologic risks and uncertainties, by incorporating the geologic model into the planning and drilling phases. Geoscientists, well planners, and drilling engineers can collaborate using the 3D environment that renders geologic data in detail. Targets are easily defined directly in CoViz 4D using 2D and 3D shapes. As the well plan is drilled, the geologist and drilling engineer can update their position relative to the geologic model, verify the accuracy of the model, and, if necessary, make appropriate modifications to geometrically steer the well to its ideal location.

Data Integration, Unique Velocity Modeling, and Visualization Reduce Subsurface Uncertainty

CoViz 4D is unique in its ability to integrate a wide range of reservoir data—including geologic models developed with other vendors’ software products such as Schlumberger’s Petrel. With CoViz 4D, users have access to a unique velocity model that incorporates well data to improve accuracy, and then, they can co-visualize all of these data to help reduce subsurface uncertainty. The synergy of data integration, more accurate velocity modeling, and a collaborative co-visualization environment significantly enhance the value of reservoir data, enabling multidisciplinary teams to more confidently assess subsurface conditions, recommend development strategies and reduce economic risk.

CoViz 4D, a data visualization analytics software from Dynamic Graphics, Inc., gives reservoir teams the ability to easily integrate relevant data associated with petroleum assets. A wide range of quantitative tools, including velocity modeling, and powerful visualization capabilities help reservoir teams gain a better understanding of subsurface uncertainties, leading to better development and operational decisions. To learn more about CoViz 4D contact our team.


Planning HPHT Well Completions

Completions in HPHT environments are challenging and costly. 3D visualization and analysis of reservoir conditions and characteristics, along with offset well data, can significantly increase safety and success rates. Data used with permission by the...

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...

Utilizing Visualization for Secondary Oil Recovery Efforts in Depleted Wells

Mature oil fields that have been previously drilled and produced offer an abundance of data generated over their operational life. This data is of great benefit in analysis and visualization for the purpose of determining viability for secondary recovery efforts....

How to Increase Oil Well Production Through Reservoir Analytics

Using time-based analytics to examine production and injection cycles on a target well with surrounding offset wells can lead to improved production and reduced costs.When determining how to increase oil well production, analysts must consider the ways in which...

Monitoring Induced Seismicity in Geologic Carbon Storage

The interest in geologic carbon storage is on the rise. It’s proving to be an effective method to reduce CO2 emissions in an effort to mitigate climate change. Geologic carbon storage can serve several purposes—straightforward CO2 storage, injection into wells for...

Understanding Hydraulic Fracture Geometry and Characteristics

Visualizing and analyzing fracturing geometries and behavior in an accurate geologic context with CoVIz 4D can greatly increase understanding and production strategies.Obtaining as accurate as possible an understanding of hydraulic fracture geometry provides many...

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.

Quick, Accurate Relief Well Planning Using 3D Visualization Software

The crucial initial phase in the drilling of a relief well is the development of an extensive relief well plan. The planning requires geoscientists, drilling engineers, and well planners to have detailed information on the subsurface geology and its attributes as well...

Accessibility Tools
XHot Key: CTRL-Q

Share on Social Media