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Advanced Seismic Data Processing: Concepts and Examples - RILS

Level: Skill | Type: Remote Instructor Led Series | Discipline: Geophysical Data Processing

This is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely. All training sessions will be delivered online with no face-to-face classroom attendance.

The Advanced Seismic Data Processing: Fundamentals and Applications - RILS course will be delivered over 8 daily sessions of 3 hours each. 

Eight modules are presented over eight 3-hour days (remotely delivered course). Each module includes two 15 minute breaks & concludes with class exercises. The entire course was originally planned to be presented over three 8-hour days in classroom format.

The course covers a range of advanced data analysis topics including novel signal processing techniques, pre-stack depth migration, reservoir characterization, time lapse analysis and the road ahead.

The free on-line books by Jon F. Claerbout, material from SEG Wiki and papers published in Geophysics, The Leading Edge and SEG Expanded Abstracts are used to provide technical background for the course topics.

Each module is illustrated with examples, a list of publications and exercises.


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Day 1
1. Signal Processing
• L1 vs L2
• Statics as a general inverse problem
• Constant Q
• Burg Maximum Entropy
• Filtering on a Helix


Day 2
2. Novel Seismic Signal
• Rich Azimuth Shooting
• Simultaneous Acquisition
• Broad-Band Seismic
• Low Frequency Sources
• CSEM
• Multi-Component
• DAS
• Virtual Sources


Day 3
3. Multiple Attenuation
• Historical Techniques
• SRME
• Auto-Focussing
• Intrabed Multiple Attenuation


Day 4
4. Pre-Stack Depth Migration
• Kirchhoff, RTM, Beam
• Grid tomography
• Full waveform inversion
• Rock Physics & Geology Based Techniques


Day 5
5. Time-Lapse Seismic
• Repeatability
• Pressure and Saturation Effects
• Case Histories
• Including Geomechanical Effects
• Heavy Oil Monitoring


Day 6
6. AVO & Rock Physics
• Classes 1,2, 3 and 4
• Normal Incidence * Poisson Ratio Coefficient
• Fluid Factor
• Rock Physics Templates
• Anisotropy


Day 7
7. Quantitative Interpretation
• Estimating Petrophysical Parameters
• Case Histories
• Bayesian Inversion
• Fault and Fracture Characterization


Day 8
8. The Road Ahead
• Hydraulic Fracture Monitoring
• Geomechanics and Reservoir Simulators
• Machine Learning
• Permanent Reservoir Monitoring
• Digital Rock Physics
• High-End Borehole Geophysics

The intended audiences for this course are geoscientists-in-training, seismic data processors, petroleum geologists, seismic interpreters and operational geophysicists who are seeking to expand their knowledge base on modern concepts in geophysical data analysis.

Degree in Earth Sciences, Engineering or Computer Science and experience in the Geosciences gained through graduate study or industry employment.

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