Case Studies

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