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Identifying Oil Field Best Practices Through 4D Visualization

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The visualization above illustrates the 3D/4D spatiotemporal integration of geologic structure, fracture stage events, microseismic events, wellbore trajectories, and well logs.

Growth in the oil and gas industry has enabled the collection and utilization of large data volumes. These enormous data records are available through governmental or commercial agencies. Potentially hundreds of thousands of wells contribute to this collection, providing valuable information about drilling and completion histories and production performance. These historical datasets available from a wide range of sources are, however, difficult to handle due to their sheer volume and different origins, making analysis difficult for interpreters.

One option that oil and gas industries are using to make data analysis easier and more reliable is 4D visualization. Advanced software with 4D visualization capabilities can facilitate the development of correlation between a large amount of temporal and geospatial data, and also make it easier for interpretation with the ability to visualize related data at its correct geospatial location. With the understanding of the best approach to handle the data, it is easy for asset teams to develop a sustainable oil field best practice.

Oil Field Datasets

A large amount of data is captured in the course of asset development. The various lithological, petrophysical, production, and engineering data provide analysts with valuable insight into the reservoir characteristics and production prospects. As more wells are drilled and data gathered, the historical datasets can be utilized to increase the precision in drilling and placement, identify faults and horizons, and predict the behavior of the reservoir based on employed oil field best practices.

However, the analysis of such a massive amount of data is not a simple task. Depending on the tools employed for data collection, the storage format can be different for each type of data. Some datasets may have missing values or might simply have been labeled differently which raises a serious concern about data quality control.

With such big data, it can also often be taxing for computers to process the data for 3D or 4D analysis while it may be equally difficult to paint the larger temporal and geospatial picture with 2D analysis. Data visualization and analysis software with 4D visualization ability provides drilling and reservoir engineers, geologists, and geophysicists the confidence of drawing accurate conclusions in temporal and geospatial analysis of subsurface data.

4D Visualization Provides Accuracy and Confidence

Understanding the various attributes and their changes in the reservoir over time provides deeper insight into the oil field and its subsurface characteristics. The ability to visualize these changes in 4D brings even more clarity and helps decision-makers in making a robust conclusion. The ability of 4D visualization and analysis tools such as CoViz 4D enables:

  • Recasting of property or attribute models onto the wells
  • Adding all relevant data types to identify interrelationships between attributes
  • Filtering the data to make a visual interpretation of only the attributes of importance

Based on the historical data and its 4D visual analysis, asset teams can make predictions regarding the selection of target zone, well planning, and efficient production strategies.

Solution for Developing Oil Field Best Practice

CoViz 4D is an ideal platform for handling and visualizing all types of data necessary for analysts to understand the oil field and make a robust decision regarding the drilling, completion, and production prospect. Engineers and geoscientists can extract historically based data to predict the future performance of the reservoir. The tool also enables correlation analysis among different data spectrum which is useful in analyzing how a change in one attribute can affect other prospects in the well drilling and recovery process. Among team members, the software fosters collaboration through the integration of different disciplines. Asset teams can extract historically based oil field best practices to improve data quality and predict behavior.

CoViz 4D, a data visualization software created by Dynamic Graphics, Inc., provides the necessary visualization tools that combine multidisciplinary historical and new datasets to provide a clearer understanding of reservoir behavior. The analysis of established oil field best practices allows team members to accurately predict reservoir behavior and make cost-efficient decisions. Contact our team today for more information on how CoViz 4D can enhance your analytical process.

FURTHER READING

Understanding the Role of Data Integration in Wellbore Trajectory Planning

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Using Drilling Data Analytics to Improve Drilling Performance

When drilling engineers are looking for insights that lead to improved drilling performance, they often turn to drilling data analytics. Those critical insights come in the form of drilling data that paints a realistic picture of subsurface conditions, steering...

The Value of Temporal Data Analysis in Reservoir Management

Geologic structures, subsurface conditions, and reservoir production are described by a combination of diverse datasets generated or acquired throughout the reservoir lifecycle. Over time, these datasets essentially depict the reservoir evolution. Unfortunately, data...

Efficient Sorting of Oil and Gas Big Data

Efficient Sorting of Oil and Gas Big Data.The oil and gas industry has used big data as a way to fill the information gap in all phases of asset development within an oil field. Associated historical data mostly comes from an individual well in a single geospatial...

Fracture Stimulation Analysis to Aid Production

The most effective fracture stimulation strategies begin by integrating, modeling, and visualizing relevant reservoir data—seismic, geomechanical, petrophysical, core analyses, well tests, and even historical production data—to obtain a detailed understanding of...

Enhancing Well Log Analysis Through Data Visualization

For a detailed understanding of reservoir characteristics, the acquisition and analysis of well log data are essential. The data obtained during the logging process provides an overview of the geoscientific property of the subsurface which can be used to identify the...

4D Comparative Analysis of Seismic Reflection Data

Seismic reflection data have been utilized in the oil and gas industry and other geological studies to identify subsurface characteristics, calling attention to prevalent uncertainty and variations. The data is dependent upon the presence of acoustical contrasts...

3D Visualization of Hyperspectral Data

Point Loma, California—LiDAR merged with aerial photo. LiDAR data generated for the Scripps Institution of Oceanography by the Center for Space Research, the University of Texas at Austin (CSR), with support provided by the Bureau of Economic Geology, the University...

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