Seismic Emerging of Subsurface Geology
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Seismic Emerging of Subsurface Geology Course
Introduction:
This course is designed for those working with reflection seismic data to understand and appreciate the underlying principles and processes leading to final images and associated attributes. Basic seismic imaging principles and techniques are introduced at the outset of the class to establish the purpose, underlying principles, parameterization, and limitations of the various processing steps leading to final seismic images provided by current state-of-the-art imaging techniques. The course focuses on 3D seismic data. By the end of the course, the participant will understand and appreciate the many steps leading to final interpretable images and will be able to recognize possible problems introduced or not mitigated by the processing flow. Moreover, the participant will understand how seismic acquisition and data processing steps affect seismic amplitudes to assess their validity as input to various post-imaging seismic attributes and inversion processes.
Course Objectives:
How To:
- Assess and determine data processing flows for a variety of acquisition and reservoir scenarios
- Determine the most cost-effective imaging or migration technique given acquisition and structural scenarios
- Recognize various noises and how best to mitigate them
- Assess and appreciate the sensitivity of data processing parameters on final images
- Estimate the vertical and lateral resolution of the processing and attribute products
- Understand and examine data acquisition and processing quality control displays
- Ask appropriate questions during data processing steps
- Communicate effectively with specialists in seismic data acquisition, processing, and interpretation
- Appreciate and evaluate the trade-offs between costs, turn-around time, and sophistication of processing and imaging steps
Who Should Attend?
Seismic interpreters, geophysicists, geologists, and exploration team members who use seismic data and need to understand the purpose and implications of the data acquisition and processing steps that lead to the final seismic images and derivative attributes. Also, the course is appropriate to early-career processing geophysicists seeking a rigorous foundation of the principles of data processing and seismic imaging.
Course Outlines:
- Review of basics of reflection seismology: wave propagation and seismic amplitudes
- Seismic imaging techniques and principles
- Overview of 3D seismic data acquisition and quality control
- Improving seismic resolution: deconvolution, inverse-Q filtering, and spectral whitening
- Velocity estimation, velocity field building, and velocity uncertainty implications
- Near-surface problems and solutions: seismic datums and statics corrections
- Noise identification and suppression: coherent noises, multiples, linear noises, and incoherent noises
- Advanced seismic imaging techniques: pre-stack time and pre-stack depth migration
- Migration velocity analysis techniques
