Survey of basic methods used to image the Earth using seismic reflection data, including deconvolution and surface-related multiple elimination (SRME); introduction to basic processing workflow; exercises emphasize developing experience with field data. After the course, Students will be able to:
∎ explain the major processing steps required from field data acquisition to generation of seismic images
∎ design and test data processing work flows to apply seismic data to answer geologic questions
∎ apply quantitative tests to choose optimal data processing methods depending on acquisition geometry, signal-to-noise ratio and other variations in data quality
∎ distinguish artifacts associated with data processing steps from features indicating important geological structures
∎ discuss and interpret seismic processing results to communicate corresponding geological insights to other scientists and engineers

[Week 1] Introduction
[Week 2] Radon transform
[Week 3] Data reconstruction
[Week 4] Development of data reconstruction program (Project: part 1)
[Week 5] Development of data reconstruction program (Project: part 1)
[Week 6] Presentation of project part 1
[Week 7] Denoise & Demultiple
[Week 8] Predictive deconvolution
[Week 9] Surface-related multiple elimination (SRME): Theory
[Week 10] Surface-related multiple elimination (SRME): Application
[Week 11] Development of SRME program (Project: part 2)
[Week 12] Development of SRME program (Project: part 2)
[Week 13] Presentation of project part 2
[Week 14] Case study of field data examples
[Week 15] Final exam