(a) A cosine signal with two impulses (in the time domain) and (b) its amplitude spectrum.
From 0 to 600 ms, we have a standard stationary signal which corresponds to the sum of two cosine waves, and at 600 ms we have a sharp peak in amplitude followed by a drop. After the sharp peak in amplitude, we return to our stationary behavior of two cosine waves until we reach 800 ms, where another sharp peak in amplitude occurs and we return to a standard stationary signal again. Just as in the analogy of the restaurant noise used earlier to introduce nonstationary signals, the cosine waves represent the classical restaurant background noise of music and conversations, whereas the impulses represent the accidental dropping of a ceramic plate on the floor. So the signal here is effectively nonstationary.
Let us now look at the Fourier transform of this signal. Note that the Fourier transform detects the two cosine wave signals which correspond to the two spikes in (b). And what about the impulses? By replotting the Fourier transform at a different scale, we can now see the superposition of frequencies corresponding to the two impulses. So the Fourier transform does not provide clear information about the two impulses because of a scale problem.
Images - Chapter 8
An example of the sailing path of a marine vessel in a towed-streamer survey. Note that the time for turning from one sailing line to another is about nine hours for vessels carrying streamers that are 10 km long. The dotted line indicates the turning legs of the sailing path.
This figure illustrates a typical sailing path of a 3D survey; the vessel travels back and forth, shooting and collecting data along many parallel lines, resulting in seismic data generated along lines 25 to 50 meters apart. Note that it takes about nine hours to turn from one sailing line to another for a vessel carrying 10-km-long streamers. Today, data are recorded even when the vessel is turning.
Images - Chapter 7 A display of source and receiver distribution of a 2D seismic line in the so-called shot diagram. The rows corresponding to common-shot gathers and columns to common-receiver gathers. The diagonal is the zero-offset section, and all the other lines parallel to the diagonal are common-offset gathers (also known as common-offset sections). The lines perpendicular to the diagonal are the CMP gathers.
Images - Chapter 7 Another illustration of towed streamer acquisition
Images - Chapter 7 An illustration of interference noise in seismic data before and after. This figure shows the stack of seismic interference noise contaminated shots from another line in the Gulf of Mexico. Interference noise is clearly visible. Attenuation of seismic interference noise can be achieved by the use f-x prediction filters. Courtesy of Western Geco.
Images - Chapter 1 Structural traps. (A) Tilted fault blocks in an extensional regime. The seals are overlying mudstones and cross-fault juxtaposition against mudstones. (B) Rollover anticline on thrust. Petroleum accumulations may occur on both the hanging wall and the footwall. The hanging wall accumulation is dependent on a subthrust fault seal, whereas at least part of the hanging wall trap is likely to be a simple, four-way, dip-closed structure. (C) Lateral seal of a trap against a salt diapir and compactional drape trap over the diapir crest. (D) Diapiric mudstone associated trap with lateral seal against mud wall. Diapiric mud associated traps share many common features with that of salt. In this diagram, the diapiric mud wall developed at the core of a compressional fold. (E) Compactional drape over a basement block commonly creates enormous low-relief traps. (F) Gravity-generated trapping commonly occurs in deltaic sequences. Sediment loading causes gravity-driven failure and produces convex-down (listric) faults. The hanging wall of the fault rotates, creating space for sediment accumulation adjacent to the fault planes. The marker beds (grey) illustrate the form of the structure that has many favourable sites for petroleum accumulation. Adapted from Gluyas JG and Swarbrick RE (2003) Petroleum Geoscience. Oxford: Blackwell Science.