This is a new lesson built with The Carpentries Workbench.
Before attending this course, please make sure you have:
Prereq1: Python fundemantal
Lesson Learning Objectives
Learning Objectives
After following this lesson, learners will be able to:
we make all these objectives measureable with hands-on exercises during workshop.
- Learn how to read specific geophysics data formats (SEG-Y data).this is the first step, therefore, we definitely reach this during the workshop. verbaction/specific/time-bound/measurable/attainable
- Basic visualiztion (Matplotlib) and the interpretation of time, depth, and contrast of raw SEG-Y data.verbaction/specific/time-bound/attainable
- Understand and apply pre-processing filters (mean, median, automatic gain control) in the time domain, including fundamental theory for the aformetnioned filters.verbaction/specific/time-bound/measurable/attainable
- Understand and apply pre-processing filters (band-pass, notch) in the frequency domain, including fundamental theory for the aformetnioned filters.verbaction/specific/time-bound/measurable/attainable Interpret processed images through simple filters.verbaction/time-bound/measurable
- Explore advanced filtering (deconvolution, migration) techniques and their applications.
- Group project on exploring to find other filters that are applicable to this type of images.specific/attaible
- how to work with advanced Python libraries for reading and exporting data.