Enhancing Integrated Operations in the Oil and Gas Industry Through Visualization

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integrated operations in the oil and gas industry
When looking to enhance operations and maximize recovery, petroleum professionals need to integrate the disparate datasets for comprehensive visualization and analysis.

Efficient oilfield development requires a multidisciplinary team that consists of geologists; geophysicists; reservoir, drilling, facility, production, and logistics engineers; and more. This phase of operations is where the majority of the data is acquired and requires the most investment capital. When looking to enhance this phase of operations to maximize recovery, petroleum professionals need to opens in a new windowintegrate the disparate datasets for comprehensive visualization and analysis.

The Need for Data Integration

Integrated operations during the development phase include the integration of all existing and new datasets. Existing datasets can include some or all of the following:
  • older well data,
  • 2D and 3D seismic data,
  • rock data from cores and cuttings from existing wells, and
  • reservoir and production data from nearby fields.
Large amounts of new data from the drilling and completion of the development wells must also be integrated and can include:
  • open and cased hole logs,
  • opens in a new windowMWD data,
  • cuttings and core data,
  • completion and IP production data,
  • evolving reservoir models,
  • completion data (i.e. hydraulic fracturing data), and
  • asset-specific 3 and 4D seismic data.
The objective of data integration is a field design that results in a cost-efficient and optimally productive field/asset. The challenge with the integration of these disparate datasets is that they are processed in a variety of software applications that may be provided by multiple vendors and operated by multidisciplinary users with skills specific to their own expertise. A means of opens in a new windowallowing teams and individuals to access information simultaneously from many sources and applications in a flexible viewing environment is, therefore, essential.

Enhancing Integrated Operations in the Oil and Gas Industry

During the development phase of operations, time is often of the essence. This urgency to complete operations is usually caused by contractual obligations such as lease expirations, continuous drilling obligations, and drilling rig contracts. Therefore, the efficient integration of the various datasets is extremely important. Moreover, successful visualization of the integrated data facilitates an understanding of the overall scenario and informs decision making. A software package with the ability to provide for this visualization, then, is an invaluable tool.
CoViz 4D enhances the traditional development process by incorporating all old and new data into a 3D/4D geospatial framework that includes all information in their proper geospatial juxtaposition with one another.
CoViz 4D, an integrated software solution can easily integrate near real-time importing of Well Site Information Transfer Standard Markup Language (WITSML) drilling and MWD log data and to visualize all data simultaneously which can greatly speed up the analysis of new data. This allows the development team to stay ahead and on top of the drilling. In addition, since all professional disciplines can include data and models no matter the format, the final analysis is more accurate and complete.
CoViz 4D enhances the traditional development process by incorporating all old and new data into a 3D/4D geospatial framework that includes all information in their proper geospatial juxtaposition with one another. This is a unique and extraordinary capability that is only found in CoViz 4D and allows the team to easily optimize production.
CoViz 4D, a data visualization analytics software from Dynamic Graphics Inc., can enhance the development operations by making the task of gathering, inputting, and interpreting large amounts of disparate data simple and time-efficient. To learn more about CoViz 4D contact our team.


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