Overview
Linking seismic amplitudes to rock and fluid properties.
Quantitative interpretation (QI) reduces subsurface uncertainty by tying the seismic response to measurable rock and fluid properties. Our QI workflows span rock physics, AVO, seismic inversion and machine-learning facies classification, delivered in Hampson-Russell, RokDoc, OdiSi and bespoke Python tooling, and always anchored to a defensible petrophysical and geological model.
- Rock-physics diagnosticsCrossplot analysis, Vp-Vs trends and Gassmann fluid-substitution to characterise the elastic behaviour of reservoir and seal lithologies.
- Petroelastic modellingConstruction of calibrated rock-physics templates for forward modelling of AVO and seismic response under different fluid and lithology scenarios.
- AVO / AVA analysisIntercept-gradient analysis, Class I-IV anomaly classification, fluid factor and lambda-rho-mu-rho transforms for fluid and lithology discrimination.
- Pre-stack conditioningSuper-gather generation, residual move-out correction, angle-stack creation and amplitude-friendly noise attenuation for inversion-ready data.
- Acoustic impedance inversionModel-based, sparse-spike and stochastic acoustic-impedance inversion to produce reservoir-scale rock-property volumes.
- Elastic / simultaneous inversionPre-stack simultaneous inversion for P-impedance, S-impedance, Vp/Vs and density volumes calibrated to wells.
- Facies & lithology classificationBayesian and machine-learning facies classification from inverted volumes, with explicit uncertainty quantification.
- Fluid & net-pay predictionProbabilistic fluid prediction and net-pay volume products that highlight reservoir fairways and sweet spots.
- Low-frequency model buildingConstruction of geologically-consistent low-frequency models from wells, velocity volumes and horizons.
- Inversion feasibility studiesPre-project feasibility assessments to quantify the value of QI before committing to full-scale studies.
- Uncertainty quantificationMonte-Carlo and Bayesian frameworks to translate seismic and rock-property uncertainty into actionable subsurface ranges.
- QI training & mentoringIn-house workshops and bespoke training for client geoscientists on rock physics, AVO and inversion best practice.
Tools & Platforms