Uncertainty analysis of 3D geophysical inversion using airborne gravity gradient data conditioned on rock sample measurements

2021 ◽  
Author(s):  
Xiaolong Wei ◽  
Jiajia Sun
Keyword(s):  
Uncertainty Analysis ◽  
Rock Sample ◽  
Airborne Gravity ◽  
Gravity Gradient ◽  
Geophysical Inversion

scholarly journals Application of curvatures and Poisson’s relation to airborne gravity gradient data in oil exploration

2013 ◽  
Vol 2013 (1) ◽  
pp. 1-4
Author(s):  
Carlos Cevallos ◽  
Peter Kovac ◽  
Sharon J. Lowe
Keyword(s):  
Airborne Gravity ◽  
Gravity Gradient ◽  
Oil Exploration

scholarly journals Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado

2013 ◽  
Author(s):  
B.J. Drenth ◽  
J.D. Abraham ◽  
V.J.S. Grauch ◽  
V.F. Labson ◽  
G. Hodges
Keyword(s):  
Sand Dunes ◽  
Digital Data ◽  
Airborne Gravity ◽  
Gravity Gradient ◽  
South Central

scholarly journals Introduction of airborne gravity gradient survey to Japan

2016 ◽  
Vol 69 (1) ◽  
pp. 5-17
Author(s):  
Akihiko Chiba ◽  
Carlos Cevallos
Keyword(s):  
Airborne Gravity ◽  
Gravity Gradient

AN INTEGRATION TECHNIQUE FOR AIRBORNE GRAVITY GRADIENT MEASUREMENTS

Geophysics ◽  
1961 ◽  
Vol 26 (4) ◽  
pp. 474-479 ◽  
Author(s):  
Norman R. Paterson
Keyword(s):  
Plane Surface ◽  
Vertical Gradient ◽  
Gravity Force ◽  
Airborne Gravity ◽  
Gravity Gradient ◽  
Integration Technique ◽  
Simple Method ◽  
Gradient Measurements

For some purposes it may be desirable to work with the gravity force g rather than its vertical gradient g′. A simple method has been tested by which measurements of g′ on a plane surface can be integrated to produce values of g anywhere in space above the plane of measurement. The method appears to show promising results.

Airborne Gravity Gradient Acquisition for Oil Exploration in Uganda

2013 ◽  
Author(s):  
A. D. Price ◽  
A. Cacheux ◽  
P.R. Chowdhury ◽  
G. Shields ◽  
J. Weber ◽  
...  
Keyword(s):  
Airborne Gravity ◽  
Gravity Gradient ◽  
Oil Exploration

A new noise reduction method for airborne gravity gradient data

2016 ◽  
Vol 47 (4) ◽  
pp. 296-301
Author(s):  
Jirigalatu ◽  
Jörg Ebbing ◽  
Josef Sebera
Keyword(s):  
Noise Reduction ◽  
Reduction Method ◽  
Airborne Gravity ◽  
Gravity Gradient

Metalliferous mining geophysics—State of the art in the last decade of the 20th century and the beginning of the new millennium

Geophysics ◽  
2002 ◽  
Vol 67 (3) ◽  
pp. 964-978 ◽  
Author(s):  
Misac N. Nabighian ◽  
Michael W. Asten
Keyword(s):  
Time Domain ◽  
Wavelet Transforms ◽  
Gamma Ray ◽  
Mining Industry ◽  
Principal Component ◽  
Mine Planning ◽  
Oil Field ◽  
Airborne Gravity ◽  
Gravity Gradient ◽  
Technological Developments

The downturn in mining activity experienced during the 1990s did not preclude significant new developments in various areas of mining geophysics. The methodology for acquiring and compiling data has kept pace with the latest technological developments, from Global Positioning System navigation to raster displays and parallel computing. Wavelet transforms, principal component analysis, and fractals have begun to find successful applications in both processing and interpretation of geophysical data. Methods of quantitatively interpreting/inverting anomalies in terms of 2‐D and 3‐D models of causative bodies are becoming common. For the first time it is possible to make airborne gravity gradient measurements suitable for use in mineral exploration. Lower transmitter frequencies for airborne time‐domain electromagnetic (EM) systems have enabled surveys in areas where conductive cover previously screened basement conductors. The use of approximation algorithms has allowed the transformation of either time‐domain or frequency‐domain data into conductivity‐depth images (CDIs) which expedite interpretation. Full‐waveform recording and the use of multiple receivers are becoming common for ground EM techniques. In radiometrics it is now common practice to record 256 channels of spectral data which, by using statistical methods, has led to a dramatic reduction of noise in aerial gamma‐ray surveys. Finally, advances in 3‐D oil‐field seismic reflection methods have been introduced into the search for mineral deposits, thereby providing new tools for studying the environment of orebody emplacement as well as detailed geometrical information of value for both exploration and mine‐planning applications. Thus, at the beginning of the 21st century, we find the geophysical techniques used by the mining industry to be at the forefront of the latest technological developments.

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