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E-330 - Lithology & Fluid Detection: Tools for Seismic Reservoir Characterization

5 days GEP/AVOINV
Level
Advanced
Audience
  • Senior geoscientists
Purpose
  • To be able to detect and quantify lithologies, porosities and fluid content using seismic amplitudes and well information
Learning Objectives
  • After this training, the specialist will have the basics to:
  • Perform a feasibility study and choose the most appropriate workflow
  • Run and supervise a seismic characterization study and generate meaningful volumes
  • Prepare properly data for the study
Prerequisite
  • Course requires a good grasp of fundamentals in the following fields: wave propagation, seismic acquisition and processing
Ways and means
  • Interactive presentations, exercises, document analysis
  • Workshop on case studies using dedicated modeling and inversion softwares

Introduction and objectives
  • Introduction: AVO and inversion workflows and objectives
  • Wave propagation theory and concepts
  • Rock-physics and petro-elastic modeling: exercises
  • Well data conditioning for seismic characterization
  • Seismic data pre-requisites: preconditioning
Well-to-seismic calibration
  • Objectives and workflows
  • Preparing well data for inversion
  • Signal and noise estimation
  • Wavelet extraction from seismic and log data
Avo interpretation
  • AVO attributes and AVO behavior
  • AVO benefits and limitations
  • From AVO to prestack seismic inversion
Seismic inversion (post-stack)
  • Inversion workflows: description of inversion algorithms, parameters and benefits
  • Model-based inversion: definition and objective
  • Role of initial or low frequency model
  • Inversion exercises
  • Inversion parameter sensitivity testing
  • Deliverables of seismic inversion: QC
  • Examples: clastics and carbonates
Reservoir characterization
  • Interpretation of inversion
  • Refining seismic interpretation: noise, signal, phase and resolution issues
  • Qualitative seismic facies analysis: supervised vs. non-supervised analysis
  • Quantitative reservoir property prediction: lithologies and fluids
  • Uncertainty analysis
  • Extended inversion workflows for fractured reservoir characterization
  • Other characterization processes: 4D inversion, stochastic inversion, multicomponent inversion
2016 course calendar
Language Dates Location Tuition Register
Jun 06 - 10 Rueil €3,370 Online By email