Are You Ready to Fuel Your Mind?
GATE Energy was founded with the mission of doing things right the first time. This simple yet powerful mission drove us to build processes and systems that have allowed us to hire, train, and develop graduate engineers into industry recognized subject matter experts and thought leaders.
Our Technical Blog Gives You Access To:
On-demand training videos developed by our industry experts
Easy-to-use simulation tools that will provide an 80-20 solution for typical production monitoring and optimization workflows
Technical articles and abstracts centered around energy industry knowledge and lessons learned
We want to do our part and make sure that new decision makers have the right tools, guidance, mentors, and coaches to help them make the right decision the first time, every time.
Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction
Prediction accuracy for extended-reach laterals and high-intensity completions is improved by applying a Gaussian Process Regression (GPR) model with a Matérn kernel that accounts for parameter space sampling bias. The method adjusts predictions based on local data density and provides uncertainty quantification, increasing reliability in underrepresented regions of the design space. Applied to wells from the Bakken Formation, the model outperforms traditional approaches and supports confident forecasting for non-standard development designs.