Smarter discovery powered by AI.

Smarter Carbon Storage Powered by AI

At Simpson Energy, we’re pioneering an advanced AI-driven framework to transform how we evaluate and develop gas fields and geological carbon storage sites. Traditional exploration and validation methods are slow, expensive, and carry significant risks. Our cutting-edge machine learning systems accelerate resource assessment, optimize reservoir characterization, and dramatically reduce early-stage exploration and development costs—enabling faster, safer, and more sustainable gas production alongside secure long-term carbon storage.

  • The Challenge

    Identifying reliable gas reserves and secure carbon storage sites is critical for meeting future energy needs and achieving emissions reduction targets. Traditional workflows rely on costly, time-consuming seismic surveys, well logging, and reservoir testing, often delivering uncertain outcomes and delaying project timelines.

  • Our Solution

    We’re creating a machine learning model that integrates:

    • 2D and 3D Seismic Attributes
    • Stratigraphic Well and Core Data
    • Geochemical and Compositional Signals
    • InSAR Surface Deformation (where data is available)

    Combining these diverse datasets, the AI model will accurately assess reservoir suitability and predict CO₂ injectivity, even with partial data. Unlike black-box systems, our model is designed to be fully interpretable by geoscientists and engineers.

  • Why It Matters

    • Accelerated Site Discovery: Faster and more accurate screening of viable gas and carbon storage locations
    • Cost Reduction: Cuts exploration costs compared to conventional methods
    • Reduced Uncertainty: Quantifiable improvements in prediction confidence
    • Knowledge Generation: Links between surface signals and subsurface behavior provide a new foundation for understanding geomechanical dynamics

  • Expected Outcomes

    • A validated, field-calibrated AI tool for early-stage CCS reservoir evaluation
    • Potential peer-reviewed publications or patents
    • Continued development under Simpson Energy with recognition for contributing inventors

Simpson Energy