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Near-surface Interferometry: Enhancing SNR of Far-offset Traces

This course delves into the fundamentals and field techniques of improving the signal-to-noise ratio (SNR) of refraction, reflection, and surface waves through interferometry.

Duration

Two days

Intended Audience

All Audience

Pre-requisites (Knowledge/Experience/Education Required)

Basic background and experience in refraction and traveltime tomography.

Who should attend?

Geophysicists, geologists, and engineers looking to:

  • Gain a practical understanding of super-virtual interferometry (SVI).
  • Enhance SNR of recorded traces, particularly far-offset traces.
  • Implement SVI on refraction, surface waves, and reflection events.
  • Understand the advantages and limitations of SVI.

The course would be most relevant to those who are interested in:

  • Static corrections for deep seismic imaging.
  • Near-surface geological applications.
  • Engineering applications.
  • Refraction and/or surface waves inversion

Course Description

This course discusses the background and practical applications of improving the SNR of early arrival events. Synthetic and field examples are used in the discussions and will be shared with the participants, including the codes. Enhancing far-offset traces offers benefits such as refining noisy first arrivals for easier manual or automatic picking and extending source-receiver offsets for deeper velocity modeling. The course will cover parsimonious interferometry (PI), which is used to reduce the number of shot gathers to save field time and generate accurate virtual first-break travel times.

The course will cover interferometry basics, SVI, and PI in refraction, reflection, and surface waves, supported by synthetic and field examples. Typical applications encompass static corrections, shallow geology, engineering, and environmental studies.

Learner Outcomes

  1. Understand the fundamentals of interferometry.
  2. Understand SVI and virtual trace creation.
  3. Enhance SNR of refraction arrivals.
  4. Generate virtual refraction travel times using PI.
  5. Apply SVI and PI on synthetic and field data.
  6. Implement SVI and PI on surface waves and reflections, explaining advantages and limitations.
  7. Utilize SVI and PI for time and wavelet generation.
  8. Differentiate between successful and unsuccessful near-surface interferometry applications.

Instructor Biography

Sherif M. Hanafy