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Radon Transform In Geophysics | Tau P Transform for Seismic Data Reconstruction

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  • เผยแพร่เมื่อ 31 ก.ค. 2024
  • In this lecture, the focus will remain on Radon Transform which is a mathematical technique that has been widely used in seismic data processing and image analysis. This will typically transform the data from the space-time domain (x, t) to the tau-p domain (τ, p), where it is modified and then transformed back to (x, t) space.
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    To access comprehensive information regarding Geophysics courses, kindly go to the provided website. :
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    Further to study more about the new topics you can view and click on the links below.
    Hilbert Transform | Time-Frequency Analysis in Seismic
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    Thank you for taking the time to watch this video. I believe you want to learn how to process seismic data with sequence. So, you can either enroll in the course or watch the video below about a specific topic that interests you.
    Course Link: www.openlearning.com/usmmooc/...
    Chapter 1: Understanding Seismic: An Overview
    1. Introduction to the Course
    • Introduction to MOOC |...
    2. Chapter Contents
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    Chapter 2: Data Processing in Geophysics
    1. Scaling your Skills in Geophysics
    • Seismic Data Processin...
    2. Real Scenario and Motivation of Seismic
    • Motivation of SDPI wit...
    Chapter 3: Pre-processing Steps
    1. Seismic Data Recording System
    • Seismic Data Recording...
    2. Demultiplexing and Reformatting Seismic Data
    • Multiplex, De-multiple...
    3. Muting, Trace Editing, Absorption
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    4. Seismic Filters and Types
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    5. Seismic Multiple & f-k Autonomy
    • Seismic Multiples | MOOC
    6. Seismic Gain, Types, and Usage
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    Chapter 4: Main Seismic Processing Steps
    1. Introduction to Main Processing
    • Introduction to Main P...
    2. Data and Sorting in Different Domains
    • Data Sorting and Its U...
    3. Understanding Seismic Velocities
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    4. Velocity Analysis & NMO Correction
    • Velocity Analysis & NM...
    5. Static Or Weathering Correction
    • Seismic Static Correct...
    6. Deconvolution
    • Deconvolution | Correl...
    Chapter 5: Seismic Migration & Imaging
    1. Seismic Migration: An Overview
    • Introduction to Seismi...
    2. Classifications of Seismic Migration/Imaging
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    3. Seismic Diffraction: An Overview
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    Global Seismic Interpretation Software Installation and License Request Guide | Paleoscan | Eliis
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ความคิดเห็น • 13

  • @peterkunbo1
    @peterkunbo1 2 ปีที่แล้ว +2

    Thank you for your time and effort in making this lecture. It is very clear and informative

    • @GeophysicsInsight
      @GeophysicsInsight  2 ปีที่แล้ว

      Glad it was helpful! and thank you for your constructive comments.

  • @gunjan6652
    @gunjan6652 ปีที่แล้ว +1

    Thank you for making video in this topic

  • @lola-ye5cq
    @lola-ye5cq ปีที่แล้ว +1

    Thanks for your helpful explanation 🌸appreciate your efforts

  • @jahongirxayrullaev108
    @jahongirxayrullaev108 ปีที่แล้ว +1

    Great work, thank you. Keep going and good luck Sir.

    • @GeophysicsInsight
      @GeophysicsInsight  ปีที่แล้ว

      Thank you Jahongir for your comment.

    • @jahongirxayrullaev108
      @jahongirxayrullaev108 ปีที่แล้ว

      ​@@GeophysicsInsight Four formulas are given on a slide on minute 6 of this video. All formulas use q (moveout) to calculate t. What is unit of q (moveout) and how is it difference than slowness?

  • @samou9547
    @samou9547 ปีที่แล้ว +1

    Hello, in parabolic radon transform, why I can see the weak horizon events after inversion (in picture C). How they come from? Is this a inevitable problem?

    • @GeophysicsInsight
      @GeophysicsInsight  ปีที่แล้ว

      These weak horizon after in parabolic radon transform are because of overlapping the linear events with the non-linear events. So, Always there is new research going on to have optimum results of separation which gives an opportunity of finding solutions to these problems.

  • @evilaquaman
    @evilaquaman หลายเดือนก่อน +1

    thanks great content but can you remove the music?