Electromagnetic Methods in Geophysics. Fabio Giannino

Electromagnetic Methods in Geophysics - Fabio Giannino


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applications where the deployment of geophysical techniques over very large areas is required (for example for large‐scale engineering projects or groundwater mapping). At the same time, this technique should guarantee an economical advantage with respect to the application of land‐based techniques, and a comparable resolution in the result.

      Further application of the AEM method in hydrogeology, as well as in other field of application where a higher degree of resolution is required, led to the fine‐tuning of systems capable of more detailed definition of the geophysical model, above all in the shallower layers. This need, was also due to the limited contrast in terms of electrical resistivity (or conductivity) that can be found in field of applications different from the mineral exploration (the application where the AEM was developed first), where the ore bodies show electrical resistivity several orders of magnitude lower than the hosting rock.

      A good compromise to achieve the required resolution, has been reached by mounting the EM systems over helicopters. This occurrence, allowing for lower flying altitude and slower velocity than aircrafts, contributes to a better quality of the data and a higher resolution. Furthermore, the possibility to perform more complex processing and inversion techniques implemented over dedicated software, allowed to refine the data analysis and interpretation with respect to the more simplistic data analysis originally carried out for mineral exploration purposes, which is known as the so‐called “bump detection.”

      In the EM helicopter borne systems (defined as HTEM), both the transmitting as well as the receiving loop, are carried below the helicopter in the same frame, at a height of about 30 to 40 meters above the ground level. In some systems, the receiver frame is independent from the transmitter frame.

      AEM soundings are collected at approximately 1.5 seconds interval, which corresponds (taking into consideration the velocity of the helicopter) to a TDEM sounding (on land) approximately every 25 meters along the acquisition line. Actually, the sampling frequency may be defined during the post‐processing phase where a resampling can be performed with a finer stacking up to less than 5 meters.

      The spacing between acquisition lines varies, from 50–100 meters to a few hundreds of meters, depending on the degree or resolution required and on the purpose of the survey.

      AEM systems, may also host a GNSS, tilt meters, and altimeters used to control the position of the system, the inclination of the loops and the height from the ground, in continuous mode, allowing for the following correction during the data processing phase.

      To summarize the phase of an AEM survey, starting from the data acquisition on the field to the data analyzed and visualized in office, the following can be concluded:

      1 Once the most appropriate data acquisition system is selected based on the wave form emitted, and the survey is designed according to the purposes of the project, the data can be acquired on site.

      2 EM data is visualized as Voltage variation in respect to time (along increasing time window). A first quality control is performed over each single 1D sounding, in order to verify that in no part of the survey area the data must be re‐collected because of a poor signal‐to‐noise ratio.

      3 Then, each single 1D sounding is analyzed and filtered to enhance the quality of the signal, if needed. For each 1D signal a 1D inversion routine, is applied.

      4 Finally, each single 1D model, is entered as input of a 2D or pseudo‐3D inversion routine to obtain 3D maps of the distribution of the resistivity.

      Hereinafter, the principle and the basic equations related to the field quantities measured by AEM systems and the inversion will be presented.

      As for the land FDEM and the TDEM method already presented, a transient magnetic field is generated by varying the flow of current around a transmitter loop. The EM field is thus generated, in order to diffuse downwards in the form of a plane wave. When the current abruptly interrupts the transmitter loop, this generates a variation in the magnetic field which induces an electromotive force (emf) in the medium (the half‐space below the ground encountered) according to Faraday’s Law of induction.

      The magnitude emf is proportional to the rate of change of the primary magnetic field in the conductor. Hence, a current is induced in the conductor (the subsoil) like concentric horizontal eddy currents resembling smoke rings which run below the transmitter and diffuse through the medium (Nabighian, 1979).

      At this point, the secondary magnetic field generated by the induced currents and the rate of change of the secondary magnetic field, induces a voltage that is measured as a function of time that is sensed by an active receiver sensor (a receiving coil).

      The uppermost layers have got a strong influence on the measured signal that is given in terms of nV/m2 at the receiver coil. As time passes and the current penetrates deeper into the ground, then the measured signal provides information on the conductivity of the lower layers, of course. And this is the way a receiver coil records information on the electrical conductivity as a function of depth. This type of information is, in fact, called the TEM sounding.

      The period of time in which the transmitter is turned off is called ramp‐off. The on–off time is “designed” to emit signal at selected frequencies. The bandwidth of the system does not correlate directly with the system’s base frequency (which is the time window applied for collecting data), and it is largely determined by the frequency range of the primary EM field. The latter is not easy to establish, and to overcome this difficulty most TEM systems implement a linear shut‐off ramp for the current (Anderson, 1989).

      The duration of the off‐ramp is inversely proportional to the high frequency bandwidth. A long linear ramp has the effect of making early time responses resemble a step response. A short linear ramp instead retains the characteristics of an impulse response (Palacky and West, 1991).

      When deploying Airborne Transient EM systems these must be capable of handling the great variety of the earth’s responses with different ground conditions and they must cover very wide dynamic range to be effective. A good compromise between a rapid ramp off of the transmitter current and gradual shut off of the transmitter current represent a solution for resulting in early off‐time gates, which is appropriate for mapping near surface resistivity, on one side, and deeper ground penetration on the other. This is of course challenging to achieve at the same time and for one single configuration.

      The timing at which the receiver coil TEM measurements are taken are quite narrow, and they are referred to as “time gates.” The early time gates are narrower than those at a late time because they occur when the transient voltage is changing rapidly. Also, at early time gates the SNR is higher and does not need a larger gate to be sampled as happens for late times. The early time gates thus provide information about the near surface, while late time gates provide information about the deeper subsoil.

      The gates are spaced with a logarithmically increasing time period in order to minimize distortion of the transient voltage and improve the signal/noise (S/N) ratio at late times, a method called “log‐gating” (Siemon et al., 2009).

      The mathematical expressions defining the components of the EM field are defined by the electromagnetic phenomena and are governed by Maxwell’s equations.

      As already mentioned in Chapters 2.2 and 2.2 the relationships between electric field E, current J, and electric displacement D are described in two of these, while a second pair describe the relationships between magnetic field H, magnetic induction B, and magnetic polarization M. In quantitative terms, these four constitutive relations are:

      (2.4.1)equation

      (2.4.2)Скачать книгу