The characterization of subsurface conditions is vital when it comes to oil field production optimization. Production from a reservoir changes the initial relative volumes and saturations of oil, gas, and water contained within that reservoir. To make the best decisions during operations, analysts need clear visuals that can highlight these subsurface changes and superb analytic…
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…
Predictive analytics in the oil and gas industry is a vital tool that allows analysts to assess the full composition of recoverable reserves. Without a good understanding of the field, analysts can miss lucrative reserve locations and overlook potential hazards that could hamper operations. The solution is a production history matching workflow that creates a…
4D seismic surveys play a vital role in monitoring oil and gas fields. Acquired data provide spatial information regarding changes that occur during the course of production. This information is used to update reservoir simulation models, increase the reliability of production forecasts, and improve field management. Seismic history matching requires integration of a wide range…
Reservoir engineers build reservoir simulation models from geological models, well logs, seismic data, oil and gas production data, and with a good dose of intuition. They must iterate the model building process to generate models that best match the production history. Often, they will generate a collection of models, each matching the production history. A…
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…
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…
Subsurface data analysis requires software that offers great flexibility. In terms of visualization, a precise level of detail is required, especially when magnifying spatial data. To obtain further analysis, it’s often beneficial when a software package has temporal features that allow users to examine subsurface conditions ranging from milliseconds to years. Because oil and gas…
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…
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…