Procesamiento sísmico
File:Aplicaciones Geofisicas de los filtros digitalesMario CaicedoMilagrosa Aldana.pdf  It's been downloaded from this link [Mario Caicedo & Milagrosa Aldana]
This is a good explanation about the Relations and differences between timeseries analysis and statistical signal processing? https://stats.stackexchange.com/questions/52270/relationsanddifferencesbetweentimeseriesanalysisandstatisticalsignalpr#:~:text=2%20Answers&text=As%20a%20signal%20is%20by,significant%20overlap%20between%20the%20two.
Contents
Convetional Seismic data processing
Yilmaz  2001
1 Preprocessing 
Demultiplexing  Orders seismic data by seismic trace instead of being ordered by time. Multiplexed recording is still found in older data or in current data shots with old recording instruments.  Démultiplexage: 
Reformatting  (SEGY/SEGD)
Puts the data in a format that is understandable by computers (e.g. SEGY format, SEGD format, etc.). 
Reformatage:  
Seismic data edition  Searchin for noisy, monofrequency and incorrect polarities traces.
Examines seismic data for bad, noisy, and\or monofrequency traces, and deletes them, and also spots any traces with incorrect polarities and corrects them. 
Édition:  
Geometrical spreading correction  It is also called amplitude correction. Because the signal becomes weaker as it moves away from its source (i.e. its amplitude decreases with time), amplitude correction is needed to count for this lose, and to make amplitudes stronger.  Correction de la dispersion géométrique:  
Setup of field geometry  Geometry QC  Incorporates field geometry with seismic data processing. Coordinates, shot\ receiver locations and spacing must be entered to the system carefully and precisely because processes like CMP sorting, for example, highly depend on this.  Géométrie de terrain:  
Application of field statics corrections  This is needed for land data collected on nonflat areas. It reduces the travel times into a common datum level. The datum could be the sea level or any other local datum.  Corrections statiques:  
2  Deconvolution and trace balancing 
Deconvolution makes the signal look better by increasing the temporal resolution and removing echoes: https://www.youtube.com/watch?v=kzNlXZ8tTs The seismic wave can be mathematically represented by what is called the Convolutional model for the seismic trace. This is a mathematical model that states that the Seismic trace is the result of the convolution between the Seismic Wavelet (The initial wave produced by the seismic source ) and the Reflectivity function. The reverse calculation, which is the process of calculating the Reflectivity function from the trace is known as "Deconvolution". So, when we apply Deconvolution to real seismic data, we are looking to extract the reflectivity function from the seismic trace, and the reflectivity function should be a better representation of the reflectors in the subsurface. It should highlight structures better and increase the temporal resolution.

Déconvolution et normalisation des traces: 
3  CMP sorting  Sorts the data into CMP gathers, so it can be corrected for the NMO and stacked after that (see step 7).  Triage par CMP: 
4  Velocity analysis  Gives info about velocities in the subsurface layers. It finds the stacking velocity (very close in value to the RMS velocity) that best fits our data (This step may be delayed after step 5).  Analyse de vitesse: 
5  Residual statics corrections  Counts for nearsurface velocity variations that causes some static and dynamic distortion problems.  Corrections statiques résiduelles: 
6  Velocity analysis  (see step 4). If we have residual statics problems, we do velocity analysis after we count for them.  Analyse de vitesse: 
7  NMO Correction  Counts for the increase in travel time with increasing offset distance. This increase makes flat reflectors look dipping, and makes dipping reflectors look even more dipping. The amount of correction needed decreases with depth, so that shallower reflectors get more “stretched” than do the deeper ones.
Muting: It is just a fancy word for deleting a part of a trace. Muting a whole trace is called “killing”. 
Correction NMO: 
Correction DMO:  
Correction NMO inverse:  
Analyse de vitesse:  
Correction NMO:  
8  Stacking  After sorting the data into CMP gathers and applying the NMO correction, reflectors line up nicely and hence their stacking gives a stronger signal. Multiples\ random noises do not line up. Stacking increases S/N ratio by decreasing multiples\ random noise from the data which enhances the overall quality. It also reduces the seismic data volume to the plane of the seismic section  Sommation: 
9  Déconvolution:  
10  Blanchiment de spectre à temps variable:  
11  Timevariant bandpass filtering  Filters unwanted "signals" based on their frequencies. For example, ground roll has a lower frequency (and higher amplitude) compared to the rest of the section, so we can filter it out based on that fact.

Filtre à temps variable: 
12  Migration  So far, each trace is plotted under its CMP location which puts reflectors in the wrong subsurface location. Migration process moves those reflectors into their true subsurface locations, and that improves lateral resolution. Migration also collapses diffractions into identifiable points on the seismic section.  Migration: 
13  Gain recovery  Seismic energy gets lost in many different ways (e.g. scattering, frication, etc.). Gain is the inverse function of energy loss. It is very hard to predict the attenuation function because primary reflections, multiple reflections, and random noise have different decay functions. Instead, we examine (test) different gain values, and see which value gives a better looking data.  Gain: 
What is different between VSP and checkshot survey
https://www.linkedin.com/grp/post/1781702189955245
Seismic sections