Structure and property models with well logs and flowback tracer towers. Note the rock heterogeneity in the top layer that’s common in carbonate reservoirs. Data courtesy of Rocky Mountain Oilfield Technology Center and USDOE. Carbonate reservoirs are the source of some of the world’s largest oil and gas reserves. These reservoirs are mostly known for…
Enhanced geothermal systems or engineered geothermal systems (EGS) offer significant opportunities to take advantage of geothermal energy. EGS are different from conventional geothermal wells. They are located significantly deeper and require fracturing rock to create the artificial circulation system. Lessons learned from unconventional well development in the petroleum industry are benefitting the development of EGS.…
While there are traditional approaches to the structural interpretation of seismic data for oil exploration and velocity modeling in the industry, these approaches can be enhanced through advancements in technology. Without the ability to integrate and visualize all relevant data in a comprehensive environment, professionals may overlook valuable pays. Geoscientists can benefit from rapid updates…
New Tools, New Paradigms, New Discoveries By using natal charts, colorful geological maps, deep magnetic field analyses, and ephemerides of various astral objects, a comprehensive picture for optimal well surface location and hydrocarbon exploitation can be achieved with 3D and 4D diverse data integration software and astrocartographic workflows. Integrating disparate data found in the oil…
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…
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…
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…