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Case Studies
Here are some case studies on how Tachyus technology has helped our clients, presented at major conferences.
Automation of Greenhouse Gas Emission Estimates Associated with Natural Gas Production in the Appalachian Basin
Leveraging Data Physics for Salt Water Disposal Pressure Prediction with ConocoPhillips
Optimizing a Waterflood Using a Combination of Machine Learning and Reservoir Physics. A Field Application for Reducing Fresh Water Injection with no Impact on Oil Production and Improved Carbon Intensity
Combining Machine Learning and Reservoir Simulation for Robust Optimization of Completion Design and Well Location of Unconventional Wells
A Novel Fusion: Integrating Artificial Neural Networks and Production Fit Models for Swift and Coherent Data-Physics Predictive Modeling of a Mature Oil Field in Texas
Design And Implementation of a Comprehensive Carbon Emissions Accounting, Forecasting, Monitoring and Reporting Platform
Injection Optimization of a Complex Waterflood in Argentina using Data Physics: Field Implementation and Results
Evaluation of A Cyclic Water Injection Program Using A Combination of
Artificial Intelligence and Reservoir Physics
Combining Machine Learning and Physics for Robust Optimization of Completion Design and Well Location of Unconventional Wells in the Permian Basin
Injection Optimization of a Steamflood in California using Data Physics: Field Implementation and Results
Evaluating and Optimizing a Program to Reactivate Water Injectors in a Mature Field by Integrating Conventional Physics with Artificial Intelligence
Constrained, Multi-objective, Steamflood Injection Redistribution Optimization, using a Cloud-distributed, Metamodel-assisted, Memetic Optimization Algorithm
Calculating Production and Injection Allocation by Layer in a Multilayered Waterflood Using a Combination of Machine Learning and Reservoir Physics
Management and Optimization of a Large Waterflood Operation Applying a Physics Embedded Machine Learning Workflow
Application of Physics Embedded Machine Learning Models to Optimize Downhole Pump Size and Reactivate Closed Wells
Optimizing In-fill Well Placement in a Mature Waterflood Field Using a Physics Embedded Machine Learning Workflow
Production Acceleration for a Mature Waterflood in Kuwait through Predictive Model Combining ML with Reservoir Physics
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