Seismic Imaging of Subsurface Geology - SSD - In House Training

Course summary
5 days
Next available date: Enquire for details - Worldwide
Corporate Training for Teams

Course description

Seismic Imaging of Subsurface Geology - In-house training by PetroSkills

This course can be conducted on site at your location exclusively for your staff. 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 attribute and inversion processes. The lectures are complemented by many case-history examples, hands-on exercises and real-time data processing examples. Although mathematics is kept to a minimum, some understanding of 1D and 2D filtering is helpful. Course participants are encouraged to bring their own data examples for individual and group discussions. The material covered in this course provides essential basics to intermediate and specialized geophysics courses such as AVO Inversion and Attributes, Seismic Attributes for Reservoir Characterization and Applied Seismic Anisotropy for Fractured Reservoir Characterization. Those who have had limited prior exposure to seismic data should consider taking Basic Geophysics for an introduction prior to taking this course.

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Outcome / Qualification etc.

This in-house training course has the following outcomes:
  • 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.

Training Course Content

This in-house training programme can be customised to meet your specific requirements. It typically covers:

  • 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

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About provider

PetroSkills - Oil & Gas Training Courses

PetroSkills was founded in 2001 as an alliance between BP, Shell and OGCI, aiming to accomplish a mission of vital importance for the future of the Oil & Gas industry. PetroSkills provide high quality professional training and courses that are...

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