Reservoir Characterization

Enhance understanding of reservoir behavior

Increase your chances of success while screening new prospects, identifying potential drilling hazards, evaluating mature fields, or looking for the best location to place your next well. Our integrated reservoir characterization services incorporate well, geological, engineering and seismic data for a detailed and succinct understanding of the subsurface.

Get an integrated approach to reservoir characterization for:

Shortened project timelines, helping to accelerate decision-making
Simplified contracting processes
Maximized knowledge transfer between disciplines
The best possible answer from all available data

Reservoir Characterization Workflows

Proven integration success, from exploration to field development plans

Seismic Workflows

Geological Workflows

Using our wide-ranging technology and expertise in clastic and carbonate sedimentology, formation evaluation, and reservoir quality characterization and predictability, we adopt integrated geological problem solving across a range of disciplines to reduce uncertainty. Our solutions cover a range of scales, from assessing micro- to macro-scale reservoir distribution and reservoir quality challenges in conventional and unconventional petroleum reservoirs, CCUS site characterization and de-risking, basin-scale source-to-sink studies, play fairway mapping, and conditioning of reservoir models. Our wide-ranging services include:

Stratigraphy, including bio-, chemo-, and litho-stratigraphy
Fully integrated quantitative petrography services and integrated reservoir quality analysis of all sample types: core plugs, sidewall cores, outcrop samples, loose sediments, and cuttings
Single and multi-disciplinary studies; pore-to-seismic scale reservoir characterization
Clastic and carbonate sedimentology including detailed core description, facies analysis and mapping
Quantitative automated mineralogy (QEMSCAN® - a registered trademark of FEI Company), supplemented by SEM, SEM-CL, XRD, XRF and fluid inclusion analyses
High-resolution thin section imaging for digital thin section archiving and machine-learning (ML) led quantitative bulk mineralogy assessment, porosity analysis, and grain segmentation on newly acquired and legacy thin sections
Depositional and diagenetic models
Well log interpretation, petrophysical formation evaluation, electrofacies characterization and prediction, and well correlations
Integrated organic geochemistry: source rock screening, maturity analysis, and petroleum system/basin modeling
Stratigraphic forward modeling
Regional drainage analysis and provenance studies
Basin-to regional scale mapping (integrated mapping)
Play fairway maps
Generation of accurate, standardized, and reproducible datasets and digitisation of legacy data and geological data management