Enhancing Reservoir Connectivity Analysis Through 3D Visualization

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A 3D model with well locations and streamlines imported from a reservoir simulation package is co-visualized to determine which wells are seeing the most fluid and get an idea of if their completions are ideally located along the well. Data used by permission of the owner.

To make more informed predictions regarding hydrocarbon production, it is essential to understand the connectivity between different geological and engineering aspects of the reservoir. These aspects can include different reservoir compartments or adjacent wells drilled through the reservoir. Asset teams use reservoir connectivity analysis to evaluate these relationships and draw an interpretation of subsurface properties in the most efficient way. Analysis is derived from the various subsurface data and models, and visualization can simplify this process.

3D visualization helps teams to determine correlations between different spatial and temporal data to get a deeper understanding of the reservoir. With data visualization, integration, and analysis software, the visual correlation can be determined between differing rock properties which can be helpful in analyzing connectivity accurately and efficiently.


Understanding Reservoir Connectivity

In the planning and development of a hydrocarbon asset, it is important to know the subsurface rock properties, fluid flow path, and estimate of hydrocarbon volume in the reservoir. The analysis of rock properties is especially important as there might be a presence of a number of hydrocarbon-bearing compartments in the subsurface with sealed boundaries. The variation in lithological and geological properties of the subsurface can vary the property of each compartment. This significantly increases the complexity and uncertainty in development and production planning.

The reservoir connectivity analysis aims to evaluate the quality of the reservoir by analyzing the interconnectivity between compartments. This analysis ties the various data obtained through geological modeling, seismic interpretation, and well logging methods. Integration allows engineers to correlate rock data with various seismic and engineering data and models. For example, developing a correlation between permeability and porosity in the reservoir can help in understanding the inter-well or inter-compartment connectivity which is must-have information for estimating the production volume. Moreover, the integration and correlation also allow extrapolation of the data to determine the rock properties in such areas of the reservoir where the data is not available. This information is essential for drilling and reservoir engineers in determining the ideal drilling spots and analyzing the economic worth of the project.

In further decreasing the uncertainty, 3D visualization of these data can prove to be an effective method. In an effective geospatial environment, analysts can correlate diverse spatially and temporally equivalent data to develop an enhanced understanding of potential reservoir connectivity.

3D visualization helps teams to determine correlations between different spatial and temporal data to get a deeper understanding of the reservoir. With data visualization, integration, and analysis software, the visual correlation can be determined between differing rock properties which can be helpful in analyzing connectivity accurately and efficiently.

Visualization for Enhancing Connectivity Analysis

Accurate visualization of different subsurface data can enhance the reservoir connectivity analysis by utilizing a 3D model to minimize uncertainty. Geologists, geophysicists, and reservoir engineers can benefit in the following ways:

  • Integrate geologic, seismic, and log data to determine reservoir characteristics.
  • Determine static and dynamic properties of the compartment and their sealing.
  • Find leaks or spills to determine flow through the reservoir.
  • Extrapolate the data to adjacent areas without data available to analyze the full picture of the reservoir and minimize the uncertainty. This can also be beneficial to determine if any compartment has been missed.
  • Analyze the interconnectivity to determine the best location for drilling where maximum recovery can be achieved.
  • Make decisions on well-spacing to ensure access to all reserves as well as the necessity for infill drilling.

CoViz 4D is an ideal platform for analyzing and visualizing the correlation between different reservoir attributes.

CoViz 4D for Enhanced Connectivity Visualization and Analysis

CoViz 4D provides an effective geospatial environment for reservoir connectivity analysis. Asset teams can easily import, integrate, and correlate diverse geological, seismic, and engineering data to develop a comprehensive 3D model. The software allows easy conditional attribute filtering to calculate potential spots in the reservoir.

For example, asset teams can make selections for X distance depth, Y % oil saturation, Z distance from existing wells, and Q distance from faults to find the properties in that spot to determine the drilling applicability. This feature facilitates finding the spot in the reservoir which is connected enough to confirm the worth of the asset.

CoViz 4D also helps in clustering and outlier analysis through scatter plots. This allows asset teams to determine previously drilled or missed spots in the reservoir as well as proximity to faults or adjacent wells. The output grid can be filtered to visualize the data of importance. With this integration and visualization capability, engineers and geoscientists can analyze the economic worth of developing the recovery project.

CoViz 4D, a data visualization analytics software from Dynamic Graphics Inc., gives reservoir and drilling engineers, geologists, and geophysicists the ability to easily access and combine all relevant data for complete reservoir connectivity analysis. Powerful visualization capabilities enable teams to develop 3D models, based on which, teams can make efficient decisions on the feasibility and productivity of the project. To learn more about CoViz 4D contact our team.


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