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  • Seismic Data Conditioning, AVO Modeling and Analysis, and Inversion for Reservoir Characterization Seismic Data Conditi ...

Seismic Data Conditioning, AVO Modeling and Analysis, and Inversion for Reservoir Characterization

Oct 04 - Oct 07, 2021
Online (BST) , United Kingdom

Category: Training

Register Here

Learning Objectives

Upon completion of this course, participants will grasp key aspects of the concept, workflow and benefits of predicting fluid and rock properties and estimating uncertainties for a better understanding of the reservoir.


Anyone interested in understanding the theory, workflow and optimal way to integrate reservoir properties into accurate and predictive models.


Day 1 – Data Conditioning

  • Random and coherent noise attenuation
  • Residual NMO and gather alignment
  • Amplitude correction
  • Frequency and bandwidth
  • Phase distortion
  • Trace organization and conversion
  • 4D seismic conditioning
  • Common offset/angle Azimuthal Gathers

Day 2 – AVO Modeling and Analysis

  • Introduction: Basic seismic wave principles, Poisson's ratio, gas saturation, Biot-Gassmann equations, and lithologic examples
  • AVO Theory: Zoeppritz's equations, Aki-Richards and Shuey's approximation, elastic wave modeling, and impact of anistropy
  • AVO Analysis: AVO attribute volume generation and considerations, processing concerns, interpretation of AVO measurements, classification of AVO responses, AVO crossplotting and polarization, and examples from published case studies
  • Emphasizes practical AVO examples from a number of regions around the world
  • Explains both the advantages and potential pitfalls of the AVO method

Day 3 – Deterministic Inversion using Strata

  • Introduction: Convolutional models, wavelets, reflectivity and noise
  • Theory: Recursive, sparse-spike, model-based and colored inversion. Pre-stack methods of Elastic Impedance and Lambda-Mu-Rho
  • Analysis: Seismic and wavelet processing, amplitude recover, noise attenuation and imaging
  • Practical: Examples of band-limited, sparse-spike and model-based inversion
  • Includes pre-stack Simultaneous Inversion

Day 4 – Geostatistical Inversion using GeoSI

  • Introduction to inversion methods – deterministic and stochastic.
  • Log correlation and Model Building on both seismic and stratigraphic grids
  • Basic stochastic inversion theories: Sequential Gaussian Simulation, Bayesian Stochastic inversion and GeoSI inversion theory
  • Correlation and Variogram modelling
  • Facies classification theory
  • Stochastic lithology prediction
  • Stabilizing the results
  • 3D visualization

Duration: 3 1/2 days

Software used: HampsonRussell AVO, Strata, GeoSI

Course Format: Instructor-led, workflow-based, virtual classroom

Instructor(s): Shervin Rasoulzadeh

Prerequisites: None

Number of Participants: 8-10


US $3,000.00

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