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Advanced Seismic Data Processing
Rating: 4.0 out of 5(19 ratings)
110 students

Advanced Seismic Data Processing

Practical Details in the processing
Created byMohamad Samir Al Nahhas
Last updated 3/2022
English

What you'll learn

  • We will start from the Seismic Reflection Theory, sampling and Aliasing in time and space
  • You will learn more of the Fourier Transform and the Time and frequency Domains
  • Participants will learn diffident methods applied for the static corrections including Refraction, Tomography, horizon based and Reflection Statics
  • Students will understand the details of Deconvolution Types and its usage
  • You will improve your knowledge DMO and Migration
  • Students will learn how to attenuate Acquisition footprint from 3D seismic
  • Participant will learn the Seismic Attributes which will help a lot the interpreter

Course content

9 sections • 20 lectures • 3h 5m total length

  • Introduction to Advanced Seismic Data Processing Course5:37

    Master advanced seismic data processing from field to stacked data, covering deconvolution types including inverse, filtering, static corrections, quality control, 3D migration, velocity and frequency analysis, and multiple attenuation.

Requirements

  • Basic knowledge of the geophysical methods especially the reflection seismic method
  • Basic knowledge of Seismic Data Processing explained in the course @learn Seismic Data Processing@
  • Good knowledge in Seismic Data Acquisition is an advantage

Description

Programs are usually used in a processing sequence and are selected from a library of several hundred programs.

The seismic data processing course provided a step-by-step breakdown ranging from field data to the stacked data used by the interpreter.

This course will cover signal processing, sampling, and resampling in order to ensure optimum data quality. The mathematics of seismic data processing, Fourier Transformation will be presented. This will be followed by the most important steps details of seismic data processing, then deconvolution types will be discussed in detail including inverse Q filtering. Refraction statics steps with full details and quality control examples will be presented in detail with 3D examples. Apparent an-isotropic move-out will be presented, several methods of multiple attenuation will be covered including the new techniques, radon, and high-resolution radon. The Kirchhoff summation and finite-difference migration methods will be discussed. The participants will then learn how to build an optimum processing sequence, in order to obtain the best data quality using the latest techniques. Attribute analysis will be also included in this course to help the interpreters optimize the processing sequence.

Successful processing requires selecting the appropriate programs and parameters for a given set of data. Several diagnostic programs can be used to reveal details – velocity and frequency content, for example, which help in the choice of data enhancement programs and their parameters. Velocity analysis, frequency analysis, and aut-ocorrelation are frequently used and will be discussed.


Who this course is for:

  • You will learn the main theory behind any step in Seismic data processing
  • You will get the details of each step in seismic data processing with examples
  • Deconvolution Types will be discussed in details
  • Refraction Statics will be explained stage by stage with examples
  • Different kind of Multiple attenuation approaches will be learned

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