Summary and Setup

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.

Just a test to see how everything goes(Azin) test:

Software and Tools Needed

Python:

Version: Python 3.7 or later is required for this lesson. Installation Guide: Official Python Download If you’re new to Python, it’s recommended to use the Anaconda distribution, which comes with most required libraries pre-installed: Download Anaconda Jupyter Notebook:

We will use Jupyter Notebook as the development environment for running Python code and visualizing data.

Required Python Libraries: Ensure the following libraries are installed. You can install them via pip or use the Anaconda environment. 1) NumPy 2) Matplotlib

Git (Optional): If you want to clone the lesson repository to access the exercises and data files, install Git:

Download Git

FIXME: Setup instructions live in this document. Please specify the tools and the data sets the Learner needs to have installed.