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…

predictive analytics in oil and gas industry

Predictive Analytics in the Oil and Gas Industry Aids in Refining Estimated Ultimate Recovery Analysis

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…

seismic history matching

Seismic History Matching: Analyzing and Validating Reservoir Models with 4D Visualization

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…

oil and gas production data

How the Visualization of Oil and Gas Production Data Enhances Field Development and Reservoir Management

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…

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…

subsurface data analysis

Subsurface Data Analysis and Visualization: Exploring Spatial and Temporal Diversity

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…

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…

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…