F

Fabric  – a spatial configuration of the dominant alignments or trends on the image of the gravity or magnetic anomalous fields. This term is often used to compare anomalous fields in adjacent terranes and tectonic provinces. Grain and Signature have similar meaning. See Tectonic Province, Terraine, and Trend.

False Easting  – a constant longitudinal distance of 500 000 m, assigned to the central meridian in the UTM coordinate system to ensure positive values of “x” coordinate within the given UTM zone. See also False Northing and Universal Transverse Mercator (UTM).

False Northing  – a constant latitudinal distance of 10 000 000 m, assigned to the Equator in the UTM coordinate system in the Southern Hemisphere to ensure positive values of “y” coordinate within the given UTM zone. In the Northern Hemisphere, F.N. value is zero. See also False Easting and Universal Transverse Mercator (UTM).

Fast Fourier Transform (FFT)  – a computer algorithm which performs high-speed Fourier Transform. [124, 201, 223].

Fault Block  – an intra-sedimentary or intra-basement structural unit bounded by faults, either completely or in part. [13]. See also Faults.

Fault Zone  – a zone of fracturing or microfracturing which surrounds the fault plane. F.Z. may vary in width from centimeters to several hundreds of meters. [13]. See Faults and Magnetized Intra-sedimentary Fault.

Faulted Slab  – one of the basic geometric shapes used for the model calculation of gravity or magnetic effects. F.S. is a horizontal slab of the uniform thickness terminated in a vertical plane along one side. The calculated effects are similar to those of faulted horizontal beds having anomalous density or susceptibility values. [54, 238]. See Gravity Model and Magnetic Model.

Faults  – joints and fractures or surfaces which limit different blocks of strata in the sedimentary section and blocks of metamorphic or igneous rocks in the basement that have moved (or have not moved) relative to each other. F. play a key role in the crustal fluid migration balance. They can be an effective barrier to migration of water and hydrocarbons and can seal a hydrocarbon accumulation or divide it into separate pools preventing hydrolic communication. Alternatively, F. as zones of a finite width may be much more permeable than surrounding rocks and, hence, F. may drain away hydrocarbons from a source rock and empty a reservoir. As a rule, F. focus macroseepage: surface hydrocarbon indicators are commonly located on outcropping F. and water springs often are aligned on F. Similarly, ore deposits are sometimes located along major F. As a result of fluid migration, intra-sedimentary F. may be magnetized sufficiently to produce low-intensity short-wavelength magnetic anomalies. Such anomalies can be resolved and enhanced using HRAM methods. F. create weak zones within the basement and sedimentary section which are natural conduits for Intrusion of strongly magnetic igneous rocks. Such Intrusive Rocks or Magma infill of F. produce high-intensity short-wavelength and mid-wavelength magnetic anomalies which are easily detectable and identified using various processing methods. In magnetic processing and interpretation F. are often approximated by Thin Dike or Magnetic Contact models. [13, 81, 162, 203, 221]. See also Fault Block, Fault Zone and Magnetized Intra-sedimentary Fault.

Faye Anomaly  – see Free Air Anomaly.

Faye Correction  – see Free-air Correction.

Ferrimagnetics  – minerals in which magnetic domains are divided into sub-regions that originally may be aligned in opposite to each other, but their net Magnetic Moment is non-zero in the absence of the external magnetic field. Magnetite, titanium, titanomagnetite, iron oxides, pyrrhotite, etc.—the great majority of magnetic minerals are F. [33, 238]. See also Ferromagnetics.

Ferromagnetics  – a small group of elements (iron, cobalt and nickel) in which the atomic magnetic moments tend to align parallel to one another because of the exchange interaction energy. F. are easily susceptible to the external magnetic field and have very large positive values of Susceptibility, sometimes, up to 106 times larger than those of the usual rock materials. [33, 238]. See also Ferrimagnetics.

Ferry  – an airborne survey term that defines the distance from the nearest airport facilities.

FFT  – see Fast Fourier Transform.

Fiducials  – reference points located at the equal spacing along the survey lines. Often these are equivalent to time in tenths of second.

Figure–Of–Merit (FOM)  – a characteristic value derived from an airborne performance test flown in order to estimate the effectiveness of applied compensation of the magnetometer sensors for the static and dynamic components of the aircraft magnetic field. This test is usually flown at relatively high altitude in the survey area or over the area of a known low gradient field. The aircraft flies in each of the cardinal compass directions (east, west, north, south) and performs a specified Pitch, Roll and Yaw maneuver. Maximum deviation of the compensated response of magnetic sensors from the mean is measured for each of these 12 maneuvers. FOM is the sum (not an average) of all measured magnetic deviations resulting from all 12 maneuvers. Generally, FOM level of 1-2 nT is appropriate for the modern survey aircraft. Using on-board computer-based compensation systems, FOM of much less than 1 nT can be achieved. FOM is flown at the start of a survey and after every major change of an aircraft equipment. [57]. See also On-Site Magnetometer Calibrations and Real-Time Magnetic Compensation System.

Filter  – a spectral domain grid-based operator or space domain line-based operator which modifies the amplitude and phase of a specified range of frequencies (wavenumbers) from Power Spectrum of a grid in the spectral domain or an interval along a pre-selected direction in the space domain. There is a great variety of filters (more than 50 different types are described in this book) designed with the purpose of enhancing certain data components which are thought to be of exploration interest, suppressing Noise and other unwanted components as well as improving the general presentation and processing properties of the observed data. See also Filtering.

Filter Cutoff  – a filter parameter which defines the half-power (30% amplitude) point of the filter response in terms of Wavelength or Spatial Frequency (as reciprocal of wavelength). For example, a high-pass filter with 1200 m cutoff wavelength value will retain (pass) all wavelengths smaller than 1200 m (i.e., components which have higher spatial frequency values than the cutoff frequency) and reject all wavelengths larger than 1200 m (i.e., components which have lower spatial frequency values than the cutoff frequency). In accordance with the general theory of filtering, there is a transition zone between the retained and rejected wavelength ranges and F.C. defines the value point at which corresponding data components will be attenuated by a half of their maximum value. The length of this transition zone is determined by Filter Order. See also Rolloff Range.

Filter Order  – a filter parameter which defines the filter falloff rate, i.e., the steepness of the filter response curve: the higher F.O., the faster the falloff. Higher orders of filter will approach the response of Boxcar Filter. At the same time, higher order filters may introduce strong Ringing into the filtered data. See Filter Cutoff and Rolloff Range.

Filter Size  – a parameter that defines the total extent of Band-Pass Filter in “x” and “y” directions. For high-resolution application in terms of Wavelength Filtering, the optimally minimum F.S. to avoid strong Ringing and other side effects should be about 2.0 times the short-wavelength Cutoff value. F.S. can be expressed in meters, wavenumbers or grid units (i.e., cell size numbers). For example, if short-wavelength cutoff is 800 m, then the long-wavelength cutoff should be no less than 1600 m. [257].

Filtering  – a space or spectral domain procedure used to separate anomalies by their wavelengths as well as enhance high-frequency (short-wavelength) residual components of the observed potential field by attenuating the dominant regional components and suppressing regular and random noise. F. is also used to resolve the interfering anomalies generated by closely spaced magnetic/gravity sources. Residual-Regional Anomaly Separation by F. is based on the assumption that a given geologic source’s spectral power, presented in Radial Power Spectrum, is attenuated more rapidly at high spatial frequencies (short wavelengths) than low spatial frequencies (long wavelengths) as the source depth increases. [24, 223]. See also Energy Leakage and Filter.

Final Bouguer Gravity  – a gravity field data obtained after applying Latitude Correction, Free-Air Correction. Bouguer Correction, Inner Zone Terrain Correction and Outer Zone Terrain Correction to the land gravity survey measurements. In order to make all data values positive, a constant value (100 mGals or more) is usually added to corrected data. F.B.G. can be calculated for several different assumed rock (Bouguer Slab) densities. See Bouguer Density.

Finite-Impulse-Response Reduction-To-Pole Filter  – see FIR RTP Filter.

FIR RTP Filter  – a finite-impulse-response reduction-to-the-pole filter. This filter is designed through modifying both the gridded magnetic data and conventional RTP Filter as follows: a) RTP filter grid operator with initial dimension “k H l” is windowed to the smaller dimension “m H n”; b) gridded magnetic data, assumed to have the same initial dimension “k H l”, are padded with zero values to generate an extended grid with dimension equal to the summation of dimensions of the initial data grid and the windowed filter grid, i.e., “(k + m) H (l + n)”; c) the windowed filter grid is also padded with zeroes to generate an extended grid of the same dimension “(k + m) H (l + n).” Both extended data and filter grids are Fourier transformed and multiplied. The result is inverse Fourier transformed to produce the reduced-to-the-pole magnetic map and then trimmed back to the initial data extent. Above described filter design procedure prevents Circular Convolution and, hence, eliminates Wraparound Effect. The decreased filter size allows to attenuate both edge effects of data boundaries and noise effects. [148]. See Reduction-To-Pole (RTP) and Padding.

First Derivative  – see Gradient.

First Derivative Map  – usually, a map of First Vertical Derivative (1VD) of the gravity and magnetic field calculated after all proper corrections have been applied to the observed data.  Being less resolving and much less enhancing Noise than Second  Derivative Map, it tends to enhance mid- and short-wave length “residual” components and delineate areas of high Vertical Gradient values (i.e. fast decay of high frequencies) associated with anomalies of relatively shallow origin.  See also First Horizontal Derivative.

First Horizontal Derivative (1HD)  – see Horizontal Derivative.

First Vertical Derivative (1VD)  – see Vertical Derivative.

First Vertical Gradient  see Vertical Derivative.

First Vertical Integral (FVI) – an approximation of the gravity field as calculated from the reduced-to-pole magnetic field using Poisson’s Relation, i.e. F.V.I. represents Pseudogravity field.  See Reduction-To-Pole (RTP)

Fish  – a watertight housing where magnetometer sensors are mounted during shipborne magnetic surveys. To eliminate magnetic effects of a vessel, F. is towed at a distance of about 200-300 m behind the vessel, and it usually rides at the depth of 15‑20 m below the sea surface.

Fixed Wing Survey  – an airborne survey with the use of an aircraft. In the case of a magnetic survey, magnetometer sensors are mounted on the aircraft tail stinger and/or wings. See also Bird and Helicopter Survey.

Flat-Plate Bouguer Factor  – the gravity effect of Bouguer Slab that is included in calculating Complete Bouguer Correction. [234].

Flattening Coefficient  – see Polar Flattening.

Flight Lines  – see Traverse Lines and Control Lines.

Fluxgate Magnetometer  – a magnetometer which measures the axial component of the magnetic field induced on its coil. Properly oriented with the direction of a measured field, F.M. can provide the accuracy of about 0.2-1.0 nT, which is quite satisfactory for regional studies and basement depth approximations. [57, 223]. See also Proton Precession Magnetometer, Cesium Magnetometer and Tri-Axial Fluxgate Magnetometer.

Folding Frequency  – see Nyquist Frequency.

Folding Wavenumber  – see Nyquist Wavenumber.

Forward Modeling  – a three-step procedure: 1) initial model of the ensemble of surfaces and bodies of contrasting densities or susceptibilities is constructed, based on available geological and geophysical data; 2) magnetic or gravity field produced by the initial model is calculated and compared with the observed field; and 3) initial model parameters are adjusted to improve the fit between the observed and calculated fields. This procedure is repeated until satisfactory fit is obtained. [25, 178, 209, 238].

Four-Dimensional (4-D) Gravity  – see Time Lapse (4-D) Gravity Survey.

Fourier Amplitude Spectrum  – see Amplitude Spectrum.

Fourier Analysis  – a methodology that maps potential field data as functions of space into functions of their equivalent spatial frequencies (or wavenumbers). F.A. is based on the fact that any periodic function can be synthesized by an infinite sum of weighted sinusoids where the weights of these sinusoids are determined through the analysis of a given periodic function. [223]. See also Fourier Transform.

Fourier Domain  – a frequency domain where the gravity and magnetic gridded data are presented after Fourier Transform as weighted sums of spatial frequencies generated by the ensembles of subsurface sources. The definition of F.D. is used with the same conceptual meaning as Frequency Domain and Spectral Domain. See also Space Domain.

Fourier Methods  – various methods of the potential field data processing that are based on the use of Fast Fourier Transform (FFT) algorithms.

Fourier Power Spectrum  – see Radial Power Spectrum.

Fourier Spectrum  – see Radial Power Spectrum.

Fourier Transform  – a mathematical operation that converts the gridded gravity and magnetic data from their original space domain to the equivalent frequency domain. After F.T. , gravity and magnetic grids (maps) can be analyzed for their wavelength content. F.T. represent the observed potential field as the synthesis of elementary sine/cosine waves of different frequencies, each having its own amplitude and phase. F.T. products such as “amplitude-versus-frequency” graph and “squared amplitude-versus-frequency” graph are referred to as Amplitude Spectrum and Power Spectrum respectively. In application to the gridded data, F.T. is also referred to as Two-Dimensional (2-D) Fourier Transform. [25, 44, 124, 201, 221, 223]. See also Fast Fourier Transform, Discrete Fourier Transform, Inverse Fourier Transform, Hartley Transform and Hilbert Transform.

Fractional Vertical Derivative  – a vertical derivative (V.D.) which has a non-integer value of “N” – the order of vertical derivative. For example, the first V.D. (commonly referred to as Vertical Gradient) has N = 1, and the second V.D. has = 2. Generally, F.V.D. allows one to choose a degree of data enhancement that will represent a balance between the enhancement of target short-wavelengths and avoidance of random noise amplifying. It often happens that a good result can be obtained with the first V.D., but the second V.D. result may be unusable because of a high-frequency noise being strongly amplified. In such cases, derivative computations with N = 1.5 will produce a result with a superior resolution to the first V.D., but they will not amplify high-frequency random noise as much as the second V.D. Fractional derivatives do not correspond to obviously measurable physical parameters, but they can provide additional details that assist visual (qualitative) interpretation of the potential field data. [94]. See also Vertical Derivative and Second Vertical Derivative.

Free-Air Anomaly  – the gravity field anomaly at sea level after applying Free-Air Correction and Latitude Correction to the observed gravity data. Because of a direct dependence on the elevation, F.A.A. maps are very reflective of a topographic relief.  Shipborne (marine) gravity measurements are presented and interpreted as F.A.A. datasets and maps.  F.A.A. computation can be presented as

F.A.A. = “observed data” + “free-air correction” – “latitude correction”  [25, 34, 54, 245].  See Gravity Corrections.

Free-Air Correction  – a correction applied to the observed gravity data to compensate for the difference Dh” in elevation of the observation point and the survey Datum (usually, sea level), i.e., it is a correction for the additional distance (“free-air” without any rock mass) of separation between the gravimeter and the Earth’s center of mass. F.A.C. is based on Free-Air Gravity Gradient calculation, but in practice it is usually performed using a simplified linear formula:

F.A.C. = 0.3086 Dh1 = 0.09406 Dh2

            where 0.3086 mGal/m (or 0.09406 mGal/ft) is the value of the normal Free-Air Gravity Gradient; Dh1 is in meters above the datum; Dh2 is in feet above the datum.  If elevation is above the datum, F.A.C. is added to the observed data since Dg” increases as separation distance decreases. This correction is also dependent on the latitude because a) the distance between observation point and the center of the Earth varies with the shape of the assumed ellipsoid; b) the value of acceleration due to the gravity attraction is different at each latitude. [25, 34, 182, 223, 238]. See also Latitude Correction, Bouguer Correction and Terrain Correction.

Free-Air Gravity  – the gravity field at sea level after applying Free-Air Correction and Latitude Correction, but without correction for the density of a rock between sea level and the plane of measurements; i.e., without Bouguer Correction. Usually, F.-A.G. maps are obtained from the marine gravity survey data using on-board-the-ship gravimeters. [54, 223, 245]. See also Edge Effect Anomaly and Satellite Gravity.

Free-Air Gravity Field – see Free-Air Gravity.

Free-Air Gravity Gradient  – a derivative of the acceleration “g” due to the gravity attraction with respect to elevation “h” of the observation point above the reference ellipsoid (i.e., sea level). F.-A.G.G. at a given latitude “N ” and elevation “h” can be presented as

dgh/dh = 0.3087680.000440 sin2N – 0.0000001442 h (mgal/m).

            The most commonly used F-A.G.G. value is dg/dh = 0.3086 mGal/m, which was originally obtained using parameters of the 1930 International Gravity Formula and proved to be fairly acceptable after publishing the updated Geodetic Reference System in 1971. [211]. See Free-Air Correction and Theoretical Gravity Anomaly.

Free-Water Gradient  – a correction parameter applied to gravity measurements obtained with the use of the Towed Deep Ocean Gravimeter (TOWDOG). F.W.G. is the free-air gradient (a = 0.3086 mGal/m  (or 0.09406 mGal/ft) modified by a water column:

(w = (a – 4BGD ,

            where “G” is Newtonian Gravitation Constant and D is the water density. [256]. See TOWDOG.

Free-Water Gravity  – a gravity anomaly which is obtained with the use of the Towed Deep Ocean Gravimeter (TOWDOG) and corrected for the free-water gradient, latitude effect, vertical acceleration, Ëotvös Effect and solid-earth tides. [256]. See Free-Water Gradient.

Frequency  – a time-domain wavefield parameter that defines the number of wave cycles per second. In potential field data processing and interpretation, the space domain analog of F. is used, and it is referred to as Spatial Frequency or Wavenumber. [223].

Frequency Analysis  – a methodology that is based on transforming the potential field data from original Space Domain into Frequency Domain using Fourier Transform. Any of the pass filters (high-, low-, band-pass, etc.) can then be applied to enhance certain residual components of exploration interest and suppress others that represent Noise or very deep-sourced regional components of the potential field. F.A. has the same meaning as Wavelength Analysis, but F.A. is traditionally used more often in exploration terminology. [174]. See also Filter, Filtering and Cascaded Filtering.

Frequency Content  – a spectral domain characteristic that defines the dominant amplitude components of the observed and/or processed potential field data. This characteristic is widely used in both magnetic and gravity references because the space domain potential field data have their equivalent presentation in the spectral (frequency) domain through Fourier Transform and due to simple relation between Spatial Frequency and Wavelength: the higher frequency – the shorter wavelength. [223].

Frequency Domain  – a domain where Spatial Frequency is an independent variable which defines Dimension of this domain transformed from distance values of meters (or km) to the spatial frequency (wavenumber) values of cycles per meter (or km). The dependent variables here are the magnitude and phase of each spatial frequency. Definition of F.D. is used with the same conceptual meaning as Fourier Domain and Spectral Domain. See also Space Domain.

Frequency-Depth Rule  – a qualitative interpretation rule which is based on the physically plausible assumption that the higher frequency (shorter wavelength) components of the observed potential fields originate from the relatively shallower magnetic/gravity sources and the lower frequency components originate from the deeper sources. In magnetic interpretation it is also referred to as Continuation Concept as the magnetic anomalies become broader (i.e., exhibiting lower frequency content) as the distance between the source of anomaly and magnetometer sensor increases. For broad areas covering a wide range of depths, it is possible to separate the magnetic map into smaller areas of relatively shallow, intermediate and deep basement depths by identifying the areas of predominantly narrow, intermediate and broad anomalies. However, it is not only the source depth that determines the frequency content of anomalies, but the source width as well; often narrower anomalies result from a narrower source body of the same or even deeper depth. [75, 173].

FTG  – see Full Tensor Gradient and Gravity Gradiometry.

FTG Technology  – an exploration technology that is based on measuring Full Tensor Gradient (FTG), i.e., the gradient of the Earth’s gravity vector field in three principal directions (“X”, “Y”, “Z”). Originally, it was developed for “Trident” submarines. Super-high Sensitivity provides opportunities to map very subtle Density changes in subsurface to assist in petroleum exploration at the prospect level, including processing and interpretation of 3-D seismic data in the areas of complex Salt and subsalt structures. At present, FTGT is used in marine (shipborne) gravity surveys.

Full Tensor Gradient  – a nine-component Tensor which defines variations of three vector components of the Gradient (i.e., Tx, Ty,Tz) in three directions “x”, “y” and “z”, providing important directional information absent in observations of amplitudes of the potential field. The nine F.T.G. components can be presented as the following tensor matrix:

where Tyx = Txy; Tzx = Txz; Tzy = Tyz; Tzz = Txx + Tyy. See Gravity Gradient Tensor and FTG Technology.

Full Vector Sun Image  – a potential field map image obtained with the use of multiple “sun” illumination azimuths (up to 360º), simultaneously displayed with varying colors of a varying saturation from dark to light. The resulting cone of colors allows, for example, subtle changes in dip magnitude to modulate the darkness of the image while dip direction modulates the color. See also Color Wheel and Artificial Sun Illumination.

Fuller Filter  – a moving average space domain convolution filter with a set of window coefficients, which detects high-frequency components of the observed data and retains (passes) or rejects it. The user specifies the window length (in data points or meters) for the convolution operator. The window length corresponds to the maximum width of anomalies to be identified as high-frequency components. F.F. is applied to line datasets or gridded data as one of the options in the process of Microleveling. [70]. See also Decorrugation.