Experience grounded in field-scale interpretation and reservoir-scale application

Our experience is built on direct integration of field observations, subsurface data, and reservoir-scale models. From outcrop-derived stratigraphic frameworks to full-field geocellular models supporting development, EOR, CCUS, and reserves decisions, our work emphasizes geological defensibility, scale awareness, and practical application. Models are constructed with regulatory defensibility in mind, ensuring that assumptions, uncertainties, and development scenarios remain clearly traceable through reserves classification, estimates, and supporting technical documentation.

Experience applied at reservoir scale

We apply geological understanding at reservoir scale to the construction of full-field static models that are fit for simulation and development planning. Our work emphasizes stratigraphic consistency, realistic connectivity, and appropriate upscaling so that geological assumptions remain defensible as models transition from interpretation to dynamic application.

  • Carbonate and mixed carbonate–siliciclastic systems
  • Sequence stratigraphy and forced-regressive frameworks
  • Outcrop-based analog characterization and scaling
  • Faulted, fractured, and karst-modified reservoir architectures
  • Full-field geocellular model design and quality control
  • EOR- and CCUS-focused static model workflows
  • Heavy-oil and mature waterflood reservoirs
  • Integrated use of core, image logs, seismic, and production data

experience grounded in field and subsurface integration

We emphasize tight integration between field-scale observations, subsurface data, and reservoir modeling workflows. Field-derived architectural understanding is carried forward into subsurface interpretations to ensure stratigraphic continuity, realistic connectivity, and scale-appropriate geological assumptions within reservoir models.

  • Field-based stratigraphic framework development and architectural element definition
  • Translation of outcrop analogs into subsurface facies models and property trends
  • Integration of core, image logs, wireline, seismic, and production data
  • Scale-aware correlation strategies across wells and reservoir intervals
  • Structural interpretation supporting faulted, fractured, and karst-modified systems
  • Geologic QC focused on connectivity, flow-unit realism, and simulation readiness

experience applied to development, EOR, and CCUS decisions

We apply reservoir-scale geological models directly to development planning, EOR optimization, and CCUS decision-making. Our work focuses on ensuring that static models are fit-for-purpose for simulation, investment decisions, and long-term asset management. Geological realism, scale awareness, and uncertainty reduction are carried through to workflows that support defensible development strategies and regulatory submissions.

  • Static model support for field development planning and phasing
  • Pattern design and surveillance support for waterflood and EOR projects
  • Heavy-oil reservoir modeling for thermal and non-thermal recovery strategies
  • CCUS site screening, storage capacity assessment, and containment risk evaluation
  • Integration of static models with dynamic simulation and reserves workflows
  • Reserves classification, documentation, and reporting support aligned with regulatory guidance
  • Uncertainty assessment and scenario testing to support investment decisions
  • Technical input to regulatory, partner, and stakeholder decision processes

experience supporting reserves reporting and regulatory submissions

We support reserves reporting through geologically defensible static modeling, documentation, and audit-ready workflows. Our work ensures that reservoir models used in reserves estimation are consistent with regulatory guidance, internally consistent across disciplines, and fully traceable from geological interpretation through volumetrics and simulation. Emphasis is placed on transparency, uncertainty documentation, and alignment between geological assumptions, development plans, and reported reserves classifications.

  • Support for SEC, PRMS, and internal reserves reporting frameworks
  • Documentation of geological assumptions, uncertainties, and model limitations
  • Alignment of static models with development plans and production history
  • Volumetric sensitivity analysis and uncertainty framing for reserves classification
  • Audit support materials for internal, partner, and third-party reviews
  • Integration of geological models into reserves booking and approval workflows