USI provides a new forecasting application that incorporates a production analysis system using neural network models learning from pre-run simulation results for the evaluation of petroleum reservoir performance.

 

Our Science-Based Forecaster (SBF) software implements a physics-based methodology for type well matching, optimization in well spacing and timing, as well as maximizing efficiency and operational performance.

 

Watch latest Podcast for USI here and Dr. Lee's presentation here.

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Science-Based Forecaster (SBF) application was developed specifically to provide client assistance by scientifically producing a valuation for asset development. SBF offers quality and integrity in SEC reserves reporting. We help address reservoir engineering challenges for unconventional reservoirs.

Our clients include PE backed, large privately owned and publicly traded oil and gas companies.  ​

•     Watch USI's presentation on SBF applications, presented by Dr. John Lee on YouTube here​

•     Watch USI Partners panel discussion on YouTube here, featuring Endeavor Energy Resources, Contango Oil &        Gas, and William M. Cobb & Associates

•     Listen to the story behind how USI was founded here