Digital Twin, AI and Geomechanical R&D Capability for CO₂ Geological Storage (CCS) Monitoring and Optimization

Technology area / topic:
Carbon-free energy supply — CCS/CCUS, Digital Twin, AI/Machine Learning, reservoir geomechanics (R&D / pilot-track stage)

What we offer:
YVY OG.Energia Ltda. (Brazil), together with its confirmed R&D partner SENAI CIMATEC (Salvador, Bahia), offers technical capability, laboratory infrastructure, and field-data pathways to support joint R&D on intelligent monitoring and optimization of geological CO₂ storage.

Specifically, we can contribute:

AI/Digital Twin development capacity: SENAI CIMATEC's research team has ongoing work on Physics-Informed Neural Networks (PINNs) and CNN-based facies modeling for subsurface characterization, plus a software/DevOps team building the Digital Twin platform (dashboard, data pipelines, cloud/HPC integration).
Geomechanical laboratory infrastructure: triaxial press, high-pressure autoclave, and supercritical CO₂ flow cell at SENAI CIMATEC, capable of testing caprock integrity and fracture thresholds under reservoir P/T conditions (P > 20 MPa, T > 80°C).
HPC cluster: available for compositional reservoir simulation (ECLIPSE/tNavigator) and AI model training.
Field-data access pathway (Brazil): engagement underway with Petrobras, ANP, and CPRM for access to real and analogous field data (pre-salt / Northeast Brazil saline aquifers) to support pilot-scale validation.
Domain expertise: reservoir engineering, CCS geomechanics, and O&G operations expertise from YVY OG.Energia, combined with SENAI CIMATEC's applied research capacity in AI, automation, and computational simulation.

Maturity note:
This capability underpins an active R&D project (TRL 3 today, targeting TRL 6 via a field pilot within 24 months), already structured for Brazilian national co-funding (FINEP). We are offering this technical base as the foundation for an internationally expanded collaboration under Eurogia2030.