By the end of this programme, participants will:
- Gain a comprehensive understanding of the principles and methodologies of reservoir geophysics and rock physics.
- Develop the ability to analyze and interpret seismic data for reservoir characterization and monitoring.
- Apply advanced seismic attributes and geostatistical methods to enhance reservoir modeling.
- Understand and utilize AVO analysis techniques for predicting reservoir properties and fluid behaviors.
- Master fluid replacement modeling and saturation effects on seismic velocities in various geological environments.
- Acquire hands-on experience in using industry-standard tools such as Petrel for well data analysis and geophysical modeling.
DAY 1
Introduction to Reservoir Geophysics & Rock Physics
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- Overview of Reservoir Geophysics (quantitative interpretation, methodologies)
- Introduction to rock physics (density, wave velocity, Poisson’s ratio)
- Fluid replacement modeling & saturation effects
- Exercises: Well data analysis, Gassmann fluid replacement in Petrel
DAY 2
Seismic Applications in Development & Production Fields
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- Seismic wave reflection, polarity, resolution
- Seismic sequence stratigraphy, DHI analysis
- Time-lapse seismic for monitoring
- Exercises: Seismic interpretation, 4D time-shift comparisons
DAY 3
Seismic Attributes in Development & Production Fields
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- Seismic attributes: Amplitude, similarity, curvature, spectral decomposition
- Geostatistical multi-attribute methods
- Exercises: Porosity estimation, reservoir thickness from frequency attributes
DAY 4
AVO Analysis & Geostatistical Modeling
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- AVO theory (responses, gradients, cross-plotting)
- Geostatistical modeling for reservoir characterization
- Exercises: AVO cross-plotting and hodograms in Petrel
DAY 5
Post-Stack AI Inversion Applications
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- AI inversion techniques (convolution, band-limited, sparse-spike)
- Porosity and lithology determination using AI
- Exercises: Lithology cube, unsupervised classification with AVO inversion results
This course provides practical skills and theoretical knowledge to apply geophysics, seismic attributes, and AI techniques for reservoir development and monitoring
