WEBVTT

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For the exploration of raw materials, seismic measurements produce

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huge amounts of data.

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Such large-scale measurements are also called acquisitions.

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In a typical marine acquisition, areas of several thousand square

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kilometres are examined, which can take several weeks.

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Airguns, which are underwater sound sources, send 100,000 acoustic

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signals during such large investigations.

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An airgun shot is often registered by several thousand hydrophones.

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They record the data in abstract intervals of two milliseconds, for

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detailed measurements even below that.

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This high value is necessary to map the subsurface with a high

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resolution.

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With a record length of 10 seconds, this results in several hundred

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megabytes of seismic measurement data per shot, for example.

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A whole measurement campaign can therefore easily generate data

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amounts of many terabytes in magnitude.

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In order to obtain a single image of the subsurface from these large

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amounts of data, the measurement signals must be prepared, combined

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and the relevant signals amplified.

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This is the aim of seismic processing.

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Hello and welcome.

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In this video, I will give you an introduction to data preparation for

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seismic reflection measurements, i.e.

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processing.

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I will show you which steps are necessary to reduce the large data

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amounts of seismic measurements to a single interpretable image of the

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subsurface.

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The first step is the so-called pre-processing, i.e.

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the first steps in data preparation.

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In this, it is mainly about reading the data and combining the

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information for measuring geometry, checking and sorting the data, as

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well as correcting geometric recording characteristics.

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Pre-processing removes the effects of all known subsurface

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characteristics from the data.

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In the following steps, the unknown geological information can be

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analyzed.

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Processing is part of seismic data acquisition.

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You can see its course here.

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A source generates seismic waves.

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These spread through the subsurface.

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In seismic reflection, as the name suggests, seismic waves are

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reflected on rock layers.

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Other types of waves, such as refracted waves or surface waves, are

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neglected.

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On the earth's surface or on the sea, the waves are measured by

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geophones or hydrophones and then processed, i.e.

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processed.

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Then they are transformed into an image of the subsurface.

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In the last step, the interpretation for the raw material search is

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carried out.

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The main goals of data processing are, first, the amplification of the

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signal by removing unwanted parts.

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Second, the optimization of the resolution in time and space, i.e.

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both in the seismogram and in the depth profile.

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And third, the placement of the seismic signals in their specific

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position in the earth's subsurface.

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Processing is made up of many different steps.

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The first part is the so-called preprocessing, in which the data is

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prepared for further processing and the unwanted, known data

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properties are removed.

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Here are some important steps in preprocessing.

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For many terabytes of data, it is important to check the data quality

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and also to verify the sorting of the data based on measurement

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protocols.

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First, the data is read in, provided with geometry information and

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checked for completeness and errors.

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This process is called editing.

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This is the checking of the data and the cleaning of seismogram traces

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of poor quality.

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One unwanted property of the recorded seismograms is the removal of

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the amplitude with increasing distance.

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In the simple case of a homogeneous half-space, seismic space waves

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spread out radially symmetrically.

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Their energy is distributed on the surface of a half-ball A of the

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size 2 times pi times radius r squared.

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The energy therefore decreases proportionally to the square of the

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distance.

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The amplitude correction recreates the signal strength lost due to the

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geometric loss of expansion.

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Later incoming weak signals are thus amplified.

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This is called gain recovery in English.

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Since the size of the amplitude loss can be estimated, the weakening

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can be corrected.

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However, it should be noted that in such a simple correction,

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disturbing noise signals can also be amplified.

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These can be removed by more complex corrections or in later steps of

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processing, such as stacking.

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Local effects also influence seismic data and must be removed.

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These are, for example, static corrections for the topography and the

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top rock layers, as I will show you now.

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They are particularly important in land seismics.

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On the sea, however, the times and variable wave velocities must be

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considered in seawater.

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Here you can see an example of a vertical cut through the earth.

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Geophones are placed on the surface.

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Below them is a weathering layer.

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Such layers usually have a very low spread rate for seismic waves.

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They are not of interest for exploration, as the desired raw material

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is stored in deeper layers.

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For the running times of seismic waves, this means later arrivals for

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higher -lying stations and earlier arrivals for lower-lying ones.

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On the other hand, geophones are systematically later arrival times

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registered as such, which lie on a thinner layer.

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The spread rate of the weathering layer and the rocks below it is

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taken as a constant.

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It is determined together with the corresponding magnitude by

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additional examinations.

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Then the running time effects of the topography and the weathering

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layer are calculated at a reference level, the so-called date, for

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example, this line here.

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In addition to these static corrections, there are also dynamic, i.e.

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time-dependent corrections.

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They depend on the depth of the reflectors where the seismic waves are

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reflected.

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For example, the normal move-out correction counts for this.

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For curved reflectors, it corrects the running time of reflected waves

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to that of a vertical beam.

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This correction is part of the speed analysis.

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Now you have learned the most important corrections of preprocessing.

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This has removed the effects of all known subsurface properties from

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the data.

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In the further steps of processing, the unknown rock information can

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then be worked out.

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I will now present these steps to you in a short overview.

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First, the deconvolution.

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It sharpens the signal and increases the vertical resolution in the

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subsoil.

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The speed analysis determines a medium propagation speed of the

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seismic waves in the survey area from the seismic data.

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Then comes the stacking of the data.

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The individual preprocessed seismograms are added to this, while

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coherent signals are amplified.

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The stacking not only reduces the amount of data, but also improves

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the signal-to-noise ratio.

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A seismic section is then the arrangement of many such stacked

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seismograms next to each other into a single image.

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However, the reflectors are still in the time range of the seismogram

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and are not assigned to their actual depth or their lateral position.

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These three steps, deconvolution, speed analysis and stacking, are

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often used repeatedly in practice, as their results influence each

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other.

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For example, improvements in the speed model lead to an improvement in

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the stacking seismograms.

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In general, the individual steps of the processing are flexible.

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Depending on the application, their order can vary.

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The last step represents migration.

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It forms the stacked waveforms of the seismic section on their actual

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reflectors in the depth and thus enables an interpretation of the

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geological structures.

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These then form the basis for finding raw materials.

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In this video, I have shown you the most important steps of

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preprocessing and given you a brief overview of the further processing

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in the reflection seismic.

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You have learned that large amounts of data have to be checked and

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cleaned.

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This is called editing.

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Amplitude correction reverses the effects of geometric loss of

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expansion by reinforcing the signal in terms of distance.

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Static corrections remove well-known influences of terrain topography

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and weathering from the data of land seismology and, for example,

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geological effects in marine seismology.

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Dynamic corrections remove time-dependent effects.

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At the end of preprocessing, seismic data remain, from which all known

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effects of the subsoil have been removed.

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In the following steps of processing, the location of the selected

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reflectors can be determined and a geological interpretation of the

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subsoil becomes possible.

