Difference between revisions of "Seismic data interpretation - recurring themes"

	Exploring for Oil and Gas Traps
Series	Treatise in Petroleum Geology
Part	Predicting the occurrence of oil and gas traps
Chapter	Interpreting seismic data
Author	Christopher L. Liner
Link	Web page
Store	AAPG Store

Revision as of 19:36, 8 September 2014

From the broad field of seismology, a few things seem to pop up with regularity. Some of these have been collected here. Keep them in mind when working with seismic data—in particular, 3-D seismic data.

The onion

Figure 1 Seismic data is built of several layers like an onion. Copyright: Liner;^[1] courtesy PennWell.

The knowledge required for working with seismic data is built of several layers like an onion. Figure 1 illustrates the idea. At the heart of the onion are 1-D seismic concepts like wavelet, convolution, traveltime, and reflection coefficient. All this shows up in the next layer, 2-D seismic, plus arrays, offset, dip, and lateral velocity variation. The next layer, 3-D seismic, includes all of 2-D plus azimuth, bins, and the data volume. Finally, 4-D seismic is time-lapse 3-D, which introduces repeatability, fluid flow, and difference volume.

Data quality

The main job for seismic interpretation is to map several things:

In this order, each task requires increasing data quality. Quality is a nebulous term largely determined during acquisition by correct survey design and execution. (For more information about acquisition, please see Seismic data acquisition on land and Marine seismic data acquisition.) Processing generally has less impact on quality but is still very important.

Echo location

The seismic technique is an echo-location method similar to sonar, radar, and medical ultrasound. A wave is emitted, and it rattles around in the material. Part of it is reflected back. From the part that returns, we attempt to determine what is out there.

Traveltimes and amplitudes

In one sense, seismic data consist of traveltime, amplitude, and waveform information. Structure mapping involves only the traveltimes, stratigraphy involves both traveltime and amplitude, and Rock and fluid property information lies in the amplitude and waveform.

Edges

Figure 2 . Copyright: Liner, 1999; courtesy PennWell.

If you look at a rock outcrop, you see sandstone, shale, limestone, etc. If you look at seismic data, you see the edges of rock units. The figure below shows the edge effect on a Gulf of Mexico salt dome example. Seismic analysis is, in effect, an edge detection technique. The bigger the velocity and/or density contrast between the rocks, the stronger the edge.

To be fair, seismic impulses respond to much more than just lithology. Any vertical variation in rock property that modifies the velocity or density can potentially generate seismic reflections, including a fluid contact, porosity variation, or shale density change.

Event tracking

A key part of the interpretation process for 3-D seismic data is event tracking. To picture this, think of the 3-D seismic data volume as a block of vanilla ice cream with chocolate streaks. Tracking means we follow a streak into the cube and find out where it goes—this is structure mapping. We also keep track of how dark the chocolate is as we follow it—this is amplitude mapping.

Computer limitations

Available computer speed and memory impose severe limitations on the use of advanced 3-D seismic processing. Current hardware is sufficient for the interpretation process, but the software can be complicated and expensive.

References

↑ Liner, C., 1999, Elements of 3-D Seismology: Tulsa, PennWell.

External links

find literature about
Seismic data interpretation - recurring themes

[Liner-1] Liner, C., 1999, Elements of 3-D Seismology: Tulsa, PennWell.

[1]

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 ==The onion==
-[[file:interpreting-seismic-data_fig12-1.png|thumb|300px|{{figure number|1}}Seismic data is built of several layers like an onion. Copyright: Liner;<ref>Liner, C., 1999, Elements of 3-D Seismology: Tulsa, PennWell.</ref> courtesy PennWell.]]
+[[file:interpreting-seismic-data_fig12-1.png|thumb|300px|{{figure number|1}}Seismic data is built of several layers like an onion. Copyright: Liner;<ref name=Liner>Liner, C., 1999, Elements of 3-D Seismology: Tulsa, PennWell.</ref> courtesy PennWell.]]
 The knowledge required for working with seismic data is built of several layers like an onion. [[:file:interpreting-seismic-data_fig12-1.png|Figure 1]] illustrates the idea. At the heart of the onion are 1-D seismic concepts like [[wavelet]], [[convolution]], [[traveltime]], and [[reflection coefficient]]. All this shows up in the next layer, 2-D seismic, plus [[Seismic array|arrays]], [[offset]], [[dip]], and [[lateral velocity]] variation. The next layer, 3-D seismic, includes all of 2-D plus [[azimuth]], [[Components of a 3-D seismic survey#Bins|bins]], and the [[3-D seismic: the data cube|data volume]]. Finally, 4-D seismic is time-lapse 3-D, which introduces [[repeatability]], [[Fundamentals of fluid flow|fluid flow]], and [[difference volume]].