During November 2025, Toshi Nishimura developed a reservoir simulation workflow enhancement for the NVIDIA/physicsnemo repository, focusing on integrating X-MeshGraphNet for improved model fidelity. Toshi implemented a new example that demonstrates reservoir simulation using graph neural networks, alongside utilities for reading Eclipse-style binary output files, managing complex grid structures, and handling well completions. The work leveraged Python for data processing and machine learning, addressing the need for streamlined simulation setup and accurate reservoir modeling. This contribution provided a foundational feature for the repository, reflecting depth in both domain knowledge and technical execution, though it was limited to a single feature release.