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Digital, Infrastructure, and Modeling Solutions for CCUS Deployment

Thursday, 11 June
Louvre III
Technical Session
This session focuses on the digital, infrastructure, and modeling solutions required to enable practical deployment of carbon capture, utilization, and storage (CCUS) projects under real-world technical and regulatory constraints. Presentations examine advanced reservoir modeling and boundary-condition approaches that improve computational efficiency while preserving fidelity for pressure management, Area of Review definition, and regulatory approval. Case studies highlight well design, construction, and repurposing strategies that maximize flexibility and project value across characterization, injection, and monitoring phases. The session also explores data-driven and AI-enabled workflows that support long-term, risk-aware decision-making for CO2 storage under geological uncertainty. Alternative storage and utilization pathways, including coal seam storage, flue gas injection, and gas-to-liquids concepts, are discussed as pragmatic enablers for deployment in constrained settings. Infrastructure considerations are addressed through assessments of CO2 transportation and the repurposing of existing subsea pipelines to support scalable CCUS implementation.
Chairperson
Cassandra Dewan - Dewan Insights
Ysnardo Moya - Baker Hughes
  • 0830-0855 231740
    CO2 Sequestration Models Enhancement and Improved Reliability Using Boundary Conditions for Regulatory Approval Purposes
    G. Oliveira, D.P. Mercado Sierra, S.V. Singh, V.R. Lara, Computer Modelling Group
  • 0855-0920 231694
    Maximizing Well Value in CO2 Storage: Well Design and Construction Case Study
    H. Costeno Enriquez, SLB; M. Sousa, Renovar Sustentabilidade; M. Souza Santana, FS Bioenergia; A. Trejo Sanchez, F.A. Orta, SLB
  • 0920-0945 231654
    Survival Analysis-Powered AI in Risk-Aware Data-Driven Multi-Objective Optimization for Geological CO2 Storage
    A. Gurwicz, Texas A&M University; A.C. Alves Abreu, Pontifical Catholic University of Rio de Janeiro; D.H. Gutman, E. Gildin, Texas A&M University; M.A. Cavalcanti Pacheco, Pontifical Catholic University of Rio de Janeiro
  • 0945-1010 231688
    Coal Seam CO₂ Storage as a Decarbonization Strategy for Hard-to-Abate Industries In Colombia: A Comprehensive Approach
    J.A. Caicedo Avellaneda, G.A. Maya Toro, Ecopetrol SA; H. Buitrago, Agencia Nacional de Hidrocarburos; F. Yatte, A. Alvarez, Computer Modelling Group Ltd.; W.M. Agudelo, N. Moreno Gomez, Ecopetrol SA

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