N-km Regional (Residual) Gravity
– a map of the regional or residual gravity field calculated
using the data averaging radius of N-km. See Griffin
Method.
Nabighian’s Algorithm
– a
mathematical procedure that calculates Vertical
Derivative of the
residual potential field from its horizontal derivatives in “x” and “y”
directions using the generalized Hilbert
Transform. [164,
165,
166].
NAD 83
– the
North American Datum 1983, which is the geocentric Ellipsoid accepted
as the official frame of reference for all locations in North America. [223].
Nanotesla (nT)
– a unit
of Magnetic
Flux Density stating
the magnitude of the magnetic field vector represented by the number of lines of
Magnetic
Induction passing
through a unit area perpendicular to the vector direction. Magnetic survey maps
are now contoured in nanoteslas. 1 nT = 10–9 tesla = 10–5
gauss = 1 gamma. [215,
223
, 238].
See also Gamma.
Natural Remanent Magnetization
– see Normal
Remanent Magnetization.
Naudy Filter
– a space
domain line-based or grid-based filter which operates by detecting anomalies of
wavelengths shorter than the defined window length, and then removing these
anomalies by the extrapolation over them from the nearest adjacent data values.
The user specifies the window length (in meters or data points) which
corresponds to the maximum width of anomalies to be identified as high-frequency
components. N.F.
is commonly used for elimination of high-frequency noise as well as
spikes in the process of Microleveling.
[56]. See also Decorrugation.
Naudy Method
– an
automated profile-based depth estimation method wherein the anomaly type and
location are indentified by cross-correlation of the observed magnetic profile
with theoretical anomalies. Depth to a dike-like or plate-like source is then
estimated from the relating source body’s anomaly parameters such as
half-width or others. N.M.
option for manual calculations involves measuring the slope, amplitude and
distance features of the magnetic anomaly profile and looking for the best fit
of obtained values to theoretical values calculated for vertical dikes. In this
case, it is referred to as Inflection-Tangent-Intersection
(ITI) Method. [168, 223].
See also Depth Rules.
Nettleton Test – an
evaluation of different values of the average rock density between Datum (usually, sea level) and Station elevation in order to select a “true” value
(i.e. Density
Factor) for Elevation Correction.
After Theoretical Gravity Correction has been applied to the observed gravity data, a
set of the gravity profiles is constructed over a prominent topographic feature
in the survey area. Generally,
profiles with accepted lower density values (as compared to the “true”
density) have a curtain similarity with topography (undercorrection case);
profiles with accepted higher density values have a mirror-like, i.e. inverted
similarity with topography (overcorrection case).
The profile with a “true” density value has a very little or no
correlation with topography.
Neural Network
– a
general definition of the processing algorithms whose operational principles are
similar to those of the brain’s nervous systems. Following the “training”
with series of input values (patterns) and corresponding output values
(definition of patterns), the N.N.
algorithm is able to recognize the patterns through the generation of
specific logical rules based on associative memory. Along with pattern
recognition, classification and statistical evaluation of data, N.N.
algorithms can be used
effectively in the modeling of complicated geological structures. [188,
215].
Newton’s Gravitational Constant
–
see Universal Gravitational Constant.
Newton’s Gravity Law
– see Newton’s
Law of Gravitation.
Newton’s Law
of Gravitation
– the
expression of the force of gravitation, which is the basis for the gravity
measurements. N.L.G.
states that the force “F” between two masses “M1”
and “M2” is directly proportional to the product of these masses and
inversely proportional to the square of the distance “R” between the centers of masses:
F
= – GM1M2
/R2,
where “G” is Universal
Gravitational Constant and
the minus sign indicates that this force is always attractive. The force “F” is a vector directed toward the attracting mass. [25,
223,
238].
Newtonian Potential
–
see Gravity Potential
Noise
– any
unwanted, usually, high-frequency (short-wavelength) components of the observed
data. N. often appears due to more or less random inhomogeneities in the surface
and near-surface distribution of density or magnetic materials as well as a
result of regular processing errors, such as aliased Gridding and poor Leveling,
and effects of a cultural (man-made) nature such as pipelines, wellheads, power
lines etc. Sven Treitel made the observation that “there is no such thing as
noise, it really is only uncorrelated data.” [219].
See also Aliasing.
Noise Grid
– a resulting Microleveling error grid, containing elongated anomalies (line Corrugations) and obtained after applying Directional Filters to the standard leveled magnetic grids. N.G. is
subtracted from original grid to get a microleveled, corrugation-free grid. See One-Dimensional
(1-D) Directional Filtering and
Two-Dimensional (2-D) Directional
Filtering.
Non-Dipole Field
–
the portion of the Earth’s magnetic field not representable
by Magnetic
Dipole approximation.
Non-Magnetized Fault
–
see Magnetically Transparent Fault.
Non-Stationary Filtering
– a filtering with the use of a filter operator whose impulse response
varies in a controlled fashion over the area of data processing. See also Stationary
Filtering.
Non-Stationary Transform
– a transform procedure that decomposes input signal (for example,
gridded potential field data) on a grid of both space and wavenumber. N.‑S.T.
is an alternative to
the conventional Fourier Transform,
which decomposes input signal only in a single dimension of frequency
(wavenumber). Wavelet Transform
is an example of N.-S.T.
Normal Gravity
– see
Normal Gravity Field.
Normal Gravity Field
– an
approximation of the Earth’s gravity field at Mean
Sea Level based on International
Gravity Formula. [25, 211,
238].
See Latitude Correction.
Normal Magnetic Field
– a
smooth large-scale component of the observed Earth’s magnetic field that
represents its main (core) component and is free of anomalies of exploration
interest. N.M.F.
is often referred to
as International Geomagnetic Reference
Field or IGRF. [223].
See Earth’s Magnetic Field Components.
Normal Remanent Magnetization (NRM)
– a general term of the residual magnetization (R.M.) of rocks which basically includes five main types: Chemical
R.M., Detrital R.M.,
Isothermal R.M.,
Thermal R.M. and
Viscous R.M. Often,
N.R.M. is referred to as Natural Remanent Magnetization. [33,
238].
Normalized Map Power Spectrum
–
a map power spectrum after applying the radial sweep normalization which
suppresses radial variations in the power spectrum and enhances its directional
trends. See Map Power Spectrum.
Northing
–
a component of the survey leg in the north direction from an east-west reference
line, usually, the Equator. On maps
and grids in Cartesian
Coordinates, it may be expressed as an “Y” value.
See also Easting, False Easting and False Northing.
North-Seeking Pole
– a
positive pole of Magnetic Dipole
which is attracted towards the Earth’s north magnetic pole. See also South-Seeking
Pole. [238].
Nose
– a
gravity or magnetic anomaly for which contours do not close, i.e. Gravity
Nose or Magnetic Nose. [223
].
Nuclear-Precession Magnetometer
– see Proton Precession Magnetometer.
Nyquist Fraction
– a unit
parameter often used in displays of Radial
Power Spectrum and Map
Power Spectrum. This parameter defines decimal fractions of Nyquist Frequency,
from 0 to 1, to describe spectral characteristics of the observed or filtered
potential field data.
Nyquist
Frequency
– a data
sampling parameter which is equal to a half of Sampling Frequency (S.F.)
which is the reciprocal of Grid Interval
(G.I.):
N.F.
= S.F./2
= 1/2 G.I.
For gridded data sampled as one data point per Grid
Cell and in accordance
with the Nyquist theorem, N.F.
defines the highest frequency (shortest wavelength) which can be
indentified (resolved) with a selected grid cell size, i.e., grid interval. All
wavelengths shorter than the selected grid interval (i.e., spatial frequency
components of the potential field which are higher than N.F.) cannot be identified as there is no data between grid cell
centers, and they may be aliased. Sometimes N.F. is
referred to as Folding Frequency.
[223]. See also Aliasing, Nyquist Theorem,
Nyquist Wavenumber and Nyquist Wavelength.
Nyquist Theorem
– see Sampling
Theorem.
Nyquist
Wavelength
– a data
sampling parameter used with the same meaning as Nyquist
Frequency, because of
the conceptual analogy between Frequency
as a time-domain characteristic and Wavelength
as a space-domain
characteristic. Generally, N.W.
is defined as a quantity equal to two times Sampling
Interval. Similarly,
for the gridded data it equals two times Grid
Interval (G.I.):
N.W.
= 2 G.I.
Wavelengths smaller than this threshold are indistinguishable and may be
aliased. Aliasing can be reduced if N.W.
is decreased, i.e., sampling interval is made smaller. [25].
See also Nyquist Frequency
and Nyquist Wavenumber.
Nyquist Wavenumber
– a sampling
quantity used in Discrete Fourier
Transform and defined
as a half of Sampling Wavenumber:
N.W. = B
/ )x,
where “Dx”
is Sampling Interval. Sometimes, N.W.
is referred to as Folding Wavenumber. [25].
See also Nyquist Wavelength
and Nyquist Frequency.