A partner of excellencefor oil and gas professional development

E-250 - Lithology & Fluid Detection: Tools for Seismic Reservoir Characterization

10 days RES/AVOINV
  • Senior geoscientists.
  • This course provides participants with the techniques and workflow to detect and quantify lithologies, porosities and fluid content using seismic amplitudes and well information.
Learning Objectives
  • Upon completion of the course, participants will be able 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.
  • Basic knowledge of geological and geophysical interpretation makes this course more enjoyable.
Ways and means
  • Interactive presentations, exercises, document analysis.
  • Workshop on case studies using dedicated modeling and inversion softwares.

Week 1: Rock physics, Well calibration, Wavelets & AVO
Introduction & objectives 2 days
  • Introduction: AVO and inversion workflows and objectives.
  • Wave propagation theory and concepts.
  • Rock physics and petro-elastic modeling.
  • Well data conditioning for seismic characterization.
  • Seismic data pre-requisites: preconditioning.
Well-to-seismic calibration 1 day
  • Objectives and workflows.
  • Preparing well data for inversion.
  • Signal and noise estimation.
  • Wavelet extraction from seismic and log data.
AVO interpretation 2 days
  • AVO attributes and AVO behavior.
  • AVO benefits and limitations.
  • From AVO to pre-stack seismic inversion.
Week 2: Seismic inversion & interpretation
Seismic inversion (post-stack) 3.5 days
  • 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 1.5 days
  • 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.