mature field development

Enhancing Mature Field Development for Bypassed Pay Extraction

Analyzing several individual, temporally-spaced datasets is the basis for defining bypassed pay in mature field development. Bypassed pay identification requires the use of several individual datasets that have been simultaneously acquired throughout the productive life of a field. Analysts need software with the capability to integrate these datasets into a single viewing system. Data visualization…

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OSDU

OSDU Leverages Cloud Technologies to Simplify Data Access

The evolution of technology in oil and gas is producing an increasing number of data sources, massive data volumes, and discipline-specific software programs to analyze those data. Powerful software packages support the needs of geologists, geophysicists, drilling teams, and reservoir and production engineers, providing critical insight into the planning and operations associated with oil and…

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non-spatial data analysis

Accommodating Non-Spatial Data Analysis in Decision-Making Workflows

Non-spatial data analysis is just as important as analyzing spatial data during hydrocarbon asset development planning. The combination of non-spatial data and varying streams of spatial data leads to better, faster, and more confident decisions. That’s why data visualization software is so crucial, as it combines spatial and non-spatial data into simplified viewing formats. The…

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oil and gas project life cycle

Oil and Gas Project Life Cycle: Why Software Agility Matters in Optimizing Field Analysis

In any oil and gas project life cycle significant amounts of data are collected throughout all phases—exploration, drilling, early development, infilling, maturity, and decommissioning. These data are vital to understanding and interpreting field characteristics and supporting optimized planning and operations during every phase of the life cycle. As data from development wells are collected, they…

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seismic data visualization

4D Seismic Data Visualization: Why the 4th Dimension Is Just As Important As the Other Three

Visualization of subsurface data associated with hydrocarbon assets has evolved from the acquisition of millions of seismic data points (1D) that create two-dimensional (2D) images showing subsurface geology, to three-dimensional (3D) seismic data visualizations. The level of detail continually improves with more precise data acquisition capabilities, ever-greater data volumes, and sophisticated processing algorithms. Although 3D…

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