Oil and Gas

Participants will learn to:

1. Review seismic wave fundamentals including the convolutional model, tuning, phase and understand the importance of maximizing seismic bandwidth.
2. Assess the role of post stack attribute tools commonly found in most workstation software in seismic interpretation workflows. Examples include the use of max/min amplitude, instantaneous frequency/phase, curvature, coherency and dip/azimuth attributes as structural or stratigraphic indicators.
3. Evaluate the role of AVO (amplitude vs. reflection angle) measurements to address specific interpretation problems including fluid prediction and the estimation of elastic rock properties.
4. Investigate the use of spectral enhancement attributes such as Sparse Layer Inversion in interpretation workflows.
5. Appraise the use of geo-statistical tools, spectral decomposition, and multi-attribute analysis in reservoir characterization.
6. Recognize the limitations of AVO tools, post stack inversion, and other seismic attributes.
7. Develop fit-for-purpose interpretation workflows for several exploration and production problems in the classroom.

Part 01 Introduction

Part 02 Review of seismic imaging fundamentals

• Rock physics
• Seismic wave propagation
• The convolutional model & reflectivity
• Factors affecting seismic resolution
• Benefits of 3-D imaging

Part 03 Overview of commonly used seismic attributes

• Amplitude attributes
• Complex trace attributes
• Spatial attributes
• Post stack seismic inversion
• Spectral decomposition
• Isochron & residual maps

Part 04 Visualization tools

Elastic response attributes

• AVO
• Lambda-mu-rho
• Elastic impedance
• Direct hydrocarbon indicators

Part 05 Spectral enhancement/extension

Reservoir characterization

• Cross plot analysis
• Multi-attribute analysis
• Neural networks
• Geostatistical analysis
• Validation and significance testing

Part 06 Interpretation workflow presentations by class

Part 07 Exercises

This course integrates practical exercises to complement theoretical learning. You will:

• Analyze seismic attributes to understand their impact on data information content.
• Evaluate correlation coefficients to predict reservoir porosity.
• Answer true or false questions on various seismic concepts, such as seismic response, frequency response, and seismic resolution.
• Identify inadequacies in the convolutional model for seismic wave propagation.
• Describe characteristics of wavelets and their applications.
• Perform synthetic seismogram exercises, identifying potential pitfalls in each step.
• Identify errors in synthetic seismogram figures.
• Understand deconvolution techniques and their limitations.
• Discuss factors affecting seismic amplitudes.
• Critique definitions of seismic concepts like the Fresnel zone.
• Interpret seismic signatures and their corresponding impedance profiles.
• Delineate channels using seismic data.
• Answer tuning-related questions to understand seismic resolution limits.
• Explore the benefits of 3D seismic data in geological and engineering contexts.
• Identify hydrocarbon indicators from seismic data.
• Analyze curvature in geological structures.
• Discuss deep water depositional environments and relevant seismic attributes.
• Combine amplitude and coherence for lithology interpretation.
• Identify and interpret direct hydrocarbon indicators (DHIs).
• Compare inverted and original seismic data to explain horizon picks.
• Apply Bayes’ Theorem to assess the probability of productive zones.
• Upscale rock properties for reservoir characterization.
• Conduct 1-D experiments related to synthetic inversion and frequency analysis.

These exercises will provide hands-on experience and deepen your understanding of seismic attributes and their applications in exploration and reservoir characterization.

This course has been designed for geoscientists possessing; 1) a basic understanding of the fundamentals of seismic technology including data processing, 2) having a minimum of three years experience interpreting 3D seismic data, and 3) who are interested in learning more about the application of seismic attributes to achieve exploration, reservoir characterization and production objectives.