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E-340 - SRC Seismic Reservoir Characterization

24 heures GEP/BLSRC
  • Geologists, geophysicists and reservoir engineers with basic knowledge in geophysics
  • To provide a comprehensive and practical understanding of how seismic data is used to characterize, model, and classify reservoirs
  • To understand the relationship between physical properties of rocks and geophysics
  • To master the main steps of seismic reservoir characterization workflow, to perform QC and to assess data to be interpreted and related uncertainties
  • To interpret major results of petro-elastic analysis and modeling, AVO-AVA and Inversion studies and to understand methodological issues in seismic inversion, attributes classification and reservoir properties prediction
Les + pédagogiques
  • Before training starts, 2 hours are dedicated to introduce the training agenda, methods and tools
  • The exact needs and expectations of each participant are also assessed and discussed (MCQ and phone interview with the tutor)
Total duration of the training is 24 hours, spread over a 6-week period

Seismic reservoir characterization 3 heures
  • What is seismic reservoir characterization, how is it integrated?
  • Methods used and scale issues
Rock physics 2.5 heures
  • Introduction to Rock Physics
  • Rock physics theory – Basic concepts
  • Theoretical Rock Physics – Influence of key parameters
  • Practical Rock Physics – Main influent factors
  • Practical Rock Physics – Rock Physics Model: place in seismic reservoir characterization
Physics and AVO principles 5 heures
  • Why AVO?
  • Wave propagation
  • Seismic data prerequisites
Calibration 2 heures
  • Well to seismic calibration: objectives & workflows
  • Review of recommended wavelet extraction techniques
  • Real case example: multi-well calibration
  • Wavelet deconvolution
AVO in practice 3 heures
  • Introduction to AVO interpretation
  • AVO seismofacies
  • AVO class
  • AVO facies volume
Inversion 4 heures
  • Introduction to Inversion of seismic data – Required input data – Inversion techniques and their limits
  • Post-stack and pre-stack inversion
  • Validating and interpreting inversion results
Reservoir properties prediction 4.5 heures
  • Attribute classification
  • Techniques of prediction
  • Validation of characterization results