S. Clark

A High-Fidelity Digital Twin Framework for Proppant Transport: Integrating GPU-Accelerated Barracuda Virtual Reactor MP-PIC with Graph Neural Networks

Abstract Optimizing proppant distribution across multiple clusters is essential for maximizing reservoir contact, yet Heel-to-Toe bias and limited entry inefficiencies remain pervasive. While high-fidelity Computational Fluid Dynamics (CFD) is an industry standard for visualizing these unseen downhole dynamics, a bridg...