Balancing images of potential-field data

Geophysics ◽  
2009 ◽  
Vol 74 (3) ◽  
pp. L17-L20 ◽  
Author(s):  
G. R. Cooper
Keyword(s):  
Potential Field ◽  
Field Data ◽  
Large Range ◽  
Signal Amplitude ◽  
Analytic Signal ◽  
Aeromagnetic Data ◽  
Hilbert Transforms ◽  
Potential Field Data ◽  
Total Gradient ◽  
Data Source

Horizontal and vertical gradients, and filters based on them (such as the analytic signal), are used routinely to enhance detail in aeromagnetic data. However, when the data contain anomalies with a large range of amplitudes, the filtered data also will contain large and small amplitude responses, making the latter hard to see. This study suggests balancing the analytic signal amplitude (sometimes called the total gradient) by the use of its orthogonal Hilbert transforms, and shows that the balanced profile curvature can be an effective method of enhancing potential-field data. Source code is available from the author on request.

Toward a three‐dimensional automatic interpretation of potential field data via generalized Hilbert transforms: Fundamental relations

Geophysics ◽  
1984 ◽  
Vol 49 (6) ◽  
pp. 780-786 ◽  
Author(s):  
Misac N. Nabighian
Keyword(s):  
Hilbert Transform ◽  
Potential Field ◽  
Field Data ◽  
Three Dimensional ◽  
Analytic Signal ◽  
Three Dimensions ◽  
Hilbert Transforms ◽  
Potential Field Data ◽  
Automatic Interpretation ◽  
The Hilbert Transform

The paper extends to three dimensions (3-D) the two‐dimensional (2-D) Hilbert transform relations between potential field components. For the 3-D case, it is shown that the Hilbert transform is composed of two parts, with one part acting on the X component and one part on the Y component. As for the previously developed 2-D case, it is shown that in 3-D the vertical and horizontal derivatives are the Hilbert transforms of each other. The 2-D Cauchy‐Riemann relations between a potential function and its Hilbert transform are generalized for the 3-D case. Finally, the previously developed concept of analytic signal in 2-D can be extended to 3-D as a first step toward the development of an automatic interpretation technique for potential field data.

Direct Analytic Signal Interpretation of Potential Field Data Using 2-D Hilbert Transform

2011 ◽  
Vol 54 (4) ◽  
pp. 551-559 ◽  
Author(s):  
Yao LUO ◽  
Ming WANG ◽  
Feng LUO ◽  
Song TIAN
Keyword(s):  
Hilbert Transform ◽  
Potential Field ◽  
Field Data ◽  
Analytic Signal ◽  
Potential Field Data

EDGE DETECTION OF POTENTIAL FIELD DATA USING AN ENHANCED ANALYTIC SIGNAL TILT ANGLE

2016 ◽  
Vol 59 (4) ◽  
pp. 341-349
Author(s):  
YAN Ting-Jie ◽  
WU Yan-Gang ◽  
YUAN Yuan ◽  
CHEN Ling-Na
Keyword(s):  
Edge Detection ◽  
Tilt Angle ◽  
Potential Field ◽  
Field Data ◽  
Analytic Signal ◽  
Potential Field Data

To: “Automatic 3-D interpretation of potential‐field data using analytic signal derivatives,” by N. Debeglia and J. Corpel (January‐February 1997 GEOPHYSICS, 62, p. 87–96)

Geophysics ◽  
1997 ◽  
Vol 62 (4) ◽  
pp. 1346-1346
Keyword(s):  
Potential Field ◽  
Field Data ◽  
Analytic Signal ◽  
Potential Field Data ◽  
Computation Algorithms

When we sent the last revision of our paper to Geophysics, we had not yet received the March‐April 1996 issue of Geophysics and read the paper by Hsu et al. Thereby it could not be included in the references used to assess the method and write the paper. We note some convergences between the two approaches despite the fact that the depth computation algorithms are quite different.

Simultaneous inversion modeling of gravity and aeromagnetic data applied to a geothermal study in Utah

Geophysics ◽  
1984 ◽  
Vol 49 (8) ◽  
pp. 1327-1337 ◽  
Author(s):  
Laura F. Serpa ◽  
Kenneth L. Cook
Keyword(s):  
Potential Field ◽  
Field Data ◽  
Hot Springs ◽  
Normal Faults ◽  
Geothermal Resource ◽  
Aeromagnetic Data ◽  
Potential Field Data ◽  
Simultaneous Inversion ◽  
Geothermal Potential ◽  
Deep Faults

Aeromagnetic and gravity surveys were conducted in the Black Rock Desert, Utah to assess the geothermal potential of the Meadow‐Hatton Known Geothermal Resource Area (KGRA). The presence of basalt flows less than 1000 yr old and a 400 000 yr old rhyolite dome suggested that a hot intrusive body, which should be detectable in both types of potential field data, may provide the heat source for hot springs in the study area. A simultaneous inversion computer program was developed as part of this study to model these potential field data. The resulting models indicate hydrothermal alteration about the hot springs extending to a depth of approximately 1 km. Normal faults above a low‐angle detachment appear to reach a depth of approximately 4 km and provide a path for the circulation of groundwater in the area. No evidence for a buried igneous body was found in the study area, and it is therefore concluded that the migration of fluids along the deep faults is sufficient to account for the water temperatures estimated for the KGRA.

scholarly journals Edge interpretation of potential field data with the normalized enhanced analytic signal

2015 ◽  
Vol 51 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Yongming Yao ◽  
Danian Huang ◽  
Xianli Yu ◽  
Bosen Chai
Keyword(s):  
Potential Field ◽  
Field Data ◽  
Analytic Signal ◽  
Potential Field Data

ADDITIONAL COMMENTS ON THE ANALYTIC SIGNAL OF TWO‐DIMENSIONAL MAGNETIC BODIES WITH POLYGONAL CROSS‐SECTION

Geophysics ◽  
1974 ◽  
Vol 39 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Misac N. Nabighian
Keyword(s):  
Cross Section ◽  
Potential Field ◽  
Input Data ◽  
Field Data ◽  
Field Component ◽  
Analytic Signal ◽  
Two Dimensional ◽  
Field Profile ◽  
Total Field ◽  
Potential Field Data

In a previous paper (Nabighian, 1972), the concept of analytic signal of bodies of polygonal cross‐section was introduced and its applications to the interpretation of potential field data were discussed. The input data for the proposed treatment are the horizontal derivative T(x) of the field profile, whether horizontal, vertical, or total field component. As it is known, this derivative curve can be thought of as being due to thin magnetized sheets surrounding the causative bodies.

Algorithm for error adjustment of potential field data along a survey network

Geophysics ◽  
1984 ◽  
Vol 49 (4) ◽  
pp. 467-469 ◽  
Author(s):  
P. K. Mittal
Keyword(s):  
Potential Field ◽  
Statistical Estimation ◽  
Field Data ◽  
Aeromagnetic Data ◽  
Rectangular Grid ◽  
Contour Map ◽  
Potential Field Data ◽  
Error Adjustment ◽  
Gravity And Magnetic ◽  
Instrumental Drift

Gravity and magnetic surveys on sea, land, or air invariably exhibit discrepancies at intersections of survey lines. These “misties” have to be removed before any meaningful contour map can be prepared. The misties are caused by many errors. Errors in location fixing, instrumental drift, diurnal magnetic variations, inaccuracies in Eötvös corrections because of errors in heading, and speed of ship or aircraft play a major role. Foster (1970) proposed a method for statistical estimation of the misties at line intersections with special reference to aeromagnetic data. The method can be extended to all gravity and magnetic surveys on land, sea, or air. However, it requires an approximately rectangular grid of survey lines. In case the network is irregular and there are lines in various directions crossing each other, Foster’s method would not be applicable.

Noniterative three‐dimensional inversion of magnetic data

Geophysics ◽  
1990 ◽  
Vol 55 (6) ◽  
pp. 782-785 ◽  
Author(s):  
A. M. Pustisek
Keyword(s):  
Inverse Problem ◽  
Potential Field ◽  
Field Data ◽  
Three Dimensional ◽  
Magnetic Data ◽  
Aeromagnetic Data ◽  
Nonlinear Inverse Problem ◽  
Potential Field Data

The interpretation of magnetic or aeromagnetic data often requires the inverse problem’s solution of the structure of the magnetization interface. This nonlinear inverse problem of mapping the basement topography from potential field data was first discussed by Peters (1949).

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