Course Details

Objective

• Understand seismic wave propagation and its application in subsurface exploration.
• Learn data acquisition and processing techniques for high-resolution seismic imaging.
• Develop expertise in advanced seismic interpretation methods for geological modeling.
• Apply seismic imaging in practical scenarios, including oil and gas exploration, earthquake studies, and environmental monitoring.
• Integrate theoretical concepts with hands-on experience in computational modeling and seismic data analysis tools.

Content

Day 1: Introduction to Seismic Imaging and Seismic Wave Propagation

• Overview of Seismic Imaging Techniques
• Fundamentals of Seismic Waves (P-waves, S-waves, surface waves)
• Seismic Wave Propagation Theory and Models
• Geological Structures and the Role of Seismic Imaging in Exploration
• Practical Examples: Applications in Subsurface Geology (Oil & Gas, Environmental Monitoring)
• Introduction to Seismic Data Acquisition

Day 2: Seismic Data Acquisition and Processing Techniques

• Types of Seismic Surveys: Land, Marine, Urban
• Seismic Sensor Technologies and Data Collection Methods
• Field Survey Design and Setup
• Introduction to Seismic Data Processing
• Data Quality Control: Filtering, Noise Reduction, and Corrections
• Hands-On Practice with Basic Data Processing Techniques

Day 3: Advanced Seismic Imaging Techniques

• Reflection and Refraction Seismology
• Advanced Imaging Techniques: Migration, Tomography, and Inversion
• 3D Seismic Imaging: Processing and Visualization
• Time-Lapse (4D) Seismic Imaging and Monitoring Subsurface Changes
• Practical Examples of Imaging Complex Geological Structures

Day 4: Seismic Data Interpretation and Applications

• Structural Interpretation: Faults, Folds, and Stratigraphy
• Lithological Interpretation and Reservoir Characterization
• Integration with Geological Models
• Seismic Applications in Oil and Gas Exploration
• Environmental Monitoring and Earthquake Studies Using Seismic Data
• Case Study: Seismic Hazard Assessment and Risk Analysis

Day 5: Recent Advancements, Case Studies, and Course Review

• Recent Advancements in Seismic Imaging Technology
• Emerging Trends: AI, Machine Learning, and Computational Methods in Seismology
• Use of Drones and Remote Sensing in Seismic Surveys
• Case Studies in Industry (Oil, Gas, Environmental)

NOTE:

Pre & Post Tests will be conducted

Case Studies, Group Exercises, Group Discussions, Last Day Review & Assessments will be carried out.

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Methodology

A highly interactive combination of lectures and discussion sessions will be managed to maximize the amount and quality of information and knowledge transfer. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. You will also be encouraged to raise your own questions and to share in the development of the right answers using your own analysis and experiences.  Tests of the multiple-choice type will be made available on a daily basis to examine the effectiveness of delivering the course.

All presentations are made in excellent colorful power point. Very useful Course Materials will be given.

• 30% Lectures
• 30% Workshops and work presentation
• 20% Group Work& Practical Exercises
• 20% Videos& General Discussions