Seismic Petrophysics and Rock Physics Modelling for Reservoir Characterization

Course Overview

Reliable quantitative interpretation starts with well data that is consistent with the seismic. This course covers seismic petrophysics, including log conditioning, shear and density prediction, multi-well evaluation and upscaling, followed by building and calibrating rock physics models that link reservoir properties to elastic behaviour.

Content:

• A validated, seismic-ready elastic well dataset as the foundation for AVO, inversion and machine learning
• Confidence in log editing, missing-log prediction and consistent multi-well petrophysical evaluation
• The ability to build, calibrate and apply rock physics models, templates and Gassmann fluid substitution
• A clear understanding of how lithology, porosity and fluids appear in seismic data
• Quantified uncertainty through Monte Carlo analysis to support better-informed decisions

Software covered

HampsonRussell GeoAI

Who should attend?

Geophysicists, geologists, engineers, and technical staff who want to understand the theory and learn how to apply these increasingly critical techniques

Pre-requisite

Experience with HampsonRussell Software is not a prerequisite for this workshop; however, students will become familiar with its functionality through participation.

Duration

2 days (4 hours per day)

Format

Instructor-led, workflow-based, virtual training

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