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Geophysical signal analysis

Geophysical signal analysis is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Geophysical signal analysis rather than just read about it. In short: Geophysical signal analysis is concerned with the detection and a subsequent processing of signals. Any signal which is varying conveys valuable information.

Geophysical signal analysis — main illustration
Geophysical signal analysis — illustration

Key takeaways

  • Geophysical signal analysis belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Geophysical signal analysis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Geophysical signal analysis from memory before moving on to harder problems.

Reference excerpt

Geophysical signal analysis is concerned with the detection and a subsequent processing of signals. Any signal which is varying conveys valuable information. Hence to understand the information embedded in such signals, we need to 'detect' and 'extract data' from such quantities. Geophysical signals are of extreme importance to us as they are information bearing signals which carry data related to petroleum deposits beneath the surface and seismic data. Analysis of geophysical signals also offers us a qualitative insight into the possibility of occurrence of a natural calamity such as earthquakes or volcanic eruptions. Gravitational and magnetic fields are detected using extremely sensitive gravitometers and magnetometers respectively. The gravitational field changes are measured using devices such as atom interferometers. A superconducting quantum interference device (SQUID) is an extremely sensitive device which measures minute changes in the magnetic field. After detection, the data from these signals is extracted by performing spectral analysis, filtering and beamforming techniques. These techniques can be used in oil exploration to estimate the position of underground objects, harnessing geothermal energy.

Background The position of underground objects can be determined by measuring the gradient in Earth's gravitational field. It is known that an object with heavier mass “attracts” other objects of a considerably lower value of mass. This force of attraction is explained by understanding the following topics.

Spatial and temporal frequency Temporal frequency is the number of occurrences of an event in unit "time". It is defined relative to time. Frequency of a wave can be X cycles per second. Spatial frequency on the other hand is the characteristic of any entity that periodically varies in space.

Digitizing in time and space domain Digitizing of any signal has two aspects : "digitizing in time domain" and "digitizing in space domain". These concepts pertain to the signals varying in space, time or both.

Time domain digitization is the process of measuring the amplitude of signal in discrete time intervals. Space domain digitization is the process of measuring the amplitude of signal in discrete spatial domain. Ex: Measuring intensity of electromagnetic field at various spatial intervals.

Tensor To explain the concept of a tensor, consider the definition of a vector: “Vector is a quantity having both magnitude and direction. Vectors are tensors with rank 1”. There is only basis vector for a component. Ex: Velocity is represented as Ai + Bj + Ck where i,j,k are unit vectors in the x,y,z directions respectively. We can see that there is a one-one mapping between the basis vector and its component.

Tensor, on the other hand has rank greater than one. Gravitational field is an example for a tensor.

The set of figures on the left represent the various components of the gravitational field. These components fully characterize all the forces acting on a body. These can be represented in a matrix form as follows:

Now that we are familiar with the concepts of gravity and tensors, a qualitative discussion of gravity and its significance in geophysical analysis can be done. A certain mass distribution creates a gravitational force field around it, In other words, the object under consideration has a finite mass ‘M’ and hence bends the space around it. The gravitational field gradient is given by the divergence of the gravitational field.

Existing approaches in geophysical signal recognition and analysis

Estimating the positions of the underground objects by measuring gravitational measurements The method being discussed here assumes that the mass distribution of the underground objects of interest is already known and hence the problem of estimating their location boils down to parametric localisation. Since the mass distribution of objects of interest is already known, say underground objects with center of masses (CM1, CM2...CMn) are located under the earth and at positions p1, p2...pn. The gravity gradient (components of the gravity field) is measured using a spinning wheel with accelerometers also called as the gravity gradiometer. The instrument is positioned in different orientations to measure the respective component of gravitational field. The values of gravitational gradient tensors are calculated and analyzed. The analysis includes observing the contribution of each object under consideration. A maximum likelihood procedure is followed and Cramér–Rao bound is computed to assess the quality of location estimate.

Measurement of Earth’s magnetic fields Magnetometers are used to measure the magnetic fields, magnetic anomalies in the earth. The sensitivity of magnetometers depends upon the requirement. Ex, the variations in the geomagnetic fields can be to the order of several aT where 1aT = 10^-18T . In such cases, specialized magnetometers such as a superconducting quantum interference device (SQUID) are used. Jim Zimmerman co-developed the superconducting quantum interference device during his tenure at Ford research lab. However, events leading to the invention of squid were in fact, serendipitous. John Lambe, during his experiments on nuclear magnetic resonance noticed that the electrical properties of indium varied due to a change in the magnetic field of the order of few nT. But, Lambe was not able to fully recognise the utility of SQUID. SQUIDs have the capability to detect magnetic fields of extremely low magnitude. This is due to the virtue of Josephson junctions. Jim Zimmerman pioneered the development of SQUID by proposing a new approach to making the Josephson junctions. He made use of niobium wires and niobium ribbons to form two Josephson junctions connected in parallel. The ribbons act as the interruptions to the superconducting current flowing through the wires. The junctions are very sensitive to the magnetic fields and hence are very useful in measuring fields of the order of 10−18 T.

Measurement of seismic waves

Background The motion of any mass is affected by the gravitational field. The motion of planets is affected by the Sun's enormous gravitational field. Likewise, a heavier object will influence the motion of other objects of smaller mass in its vicinity. However, this change in the motion is very small compared to the motion of heavenly bodies. Hence, special instruments are required to measure such a minute change.

Atom interferometer

… excerpt ends here. Continue reading the full article.

Illustrations

Geophysical signal analysis: This figure describes the i component of Area vector and the i,j,k components of gravitational filed vector.
This figure describes the i component of Area vector and the i,j,k components of gravitational filed vector.
Geophysical signal analysis: 3-d  gravitational field vector components acting on the 'j' component of area vector.
3-d gravitational field vector components acting on the 'j' component of area vector.
Geophysical signal analysis: 3-d  gravitational field vector components acting on the 'k' component of area vector
3-d gravitational field vector components acting on the 'k' component of area vector
Geophysical signal analysis: Representation of all the components of the gravitational gradient vector
Representation of all the components of the gravitational gradient vector
Geophysical signal analysis: Describes the atom interferometer principle
Describes the atom interferometer principle

Worked examples

Example 1 — a first encounter with Geophysical signal analysis

Start with the simplest possible case. Write down what Geophysical signal analysis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Geophysical signal analysis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Geophysical signal analysis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Geophysical signal analysis

In research
Geophysical signal analysis appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Geophysical signal analysis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Geophysical signal analysis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Geophysics, so understanding it makes those chapters shorter.
In everyday life
Look for Geophysical signal analysis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Geophysical signal analysis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Geophysical signal analysis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Geophysical signal analysis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Geophysical signal analysis in simple terms?

Geophysical signal analysis is concerned with the detection and a subsequent processing of signals. Any signal which is varying conveys valuable information.

Why does Geophysical signal analysis matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Geophysical signal analysis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Geophysical signal analysis.

Tags

  • Geophysics

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