Improve efficiency and reduce costs by leveraging existing simulation data to achieve the fastest physics-driven production forecasts.
We apply analytics and AI to physics-based data for achieving type well matching, optimization in well spacing and timing, as well as maximizing asset valuation and production performance.
AI-based analytics reduces data-intensive input, and quickly estimates the upside value of undeveloped drilling locations using a physics-based approach.
Producers can run sensitivities on thousands of wells in minutes for field development optimization with high accuracy.
Facilitates well density studies and capital deployment evaluation to maximize new well economics.
In 2006, California Resources Corporation (CRC) acquired the 35Z section of the Midway-Sunset reservoir, located 20 miles (32 km) southwest of Bakersfield, California. The reservoir contains heavy (13-16° API), viscous (450-1125 cp) oil in dipping sand package. Read more about the Bakersfield Thermal Project.
CMOST™ leverages cutting-edge statistical analysis, machine learning, and impartial data interpretation to pinpoint the optimal reservoir and operations solution. By harnessing the robust capabilities of sensitivity analysis, history matching, optimization, uncertainty assessment, and engineering expertise, organizations can enhance an asset’s recovery and maximize Net Present Value (NPV).