Results 11 to 20 of about 8,411 (265)
A Fast Forward and Inversion Strategy for Three-Dimensional Gravity Field
Obtaining a three-dimensional (3D) density distribution within a reasonable time is one of the most critical problems in gravity exploration. In this paper, we present an efficient 3D forward modeling and inversion method for gravity data.
Jianke Qiang +3 more
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Currently, seafloor topography inversion based on satellite altimetry gravity data provides the principal means to predict the global seafloor topography. Researchers often use sea surface geoid height or gravity anomaly to predict sea depth in the space
Diao Fan +4 more
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Mineral Exploration Potential Estimation Using 3D Inversion: A Comparison of Three Different Norms
Gravity data have been frequently used in researching the subsurface to map the 3D geometry of the density structure, which is considered the basis for further interpretations, such as the estimation of exploration potential in mineral exploration.
Tao Chen, Guibin Zhang
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Spectral methods in gravity inversion: the geopotential field and its derivatives
The 3D spectral analysis of the gravitational potential field for a given mass distribution is studied. The derived quantities, the gravitational force field and the gravity gradient tensor are computed in frequency space.
C. Braitenberg, M. Zadro
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Seabed topography beneath Larsen C Ice Shelf from seismic soundings [PDF]
Seismic reflection soundings of ice thickness and seabed depth were acquired on the Larsen C Ice Shelf in order to test a sub-ice shelf bathymetry model derived from the inversion of IceBridge gravity data.
A. M. Brisbourne +5 more
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Minimum‐structure borehole gravity inversion [PDF]
The borehole gravity technique has been well established in hydrocarbon exploration geophysics since the 1970's. The concept behind borehole gravity is simply to measure the variation in the Earth's gravitational field while traveling along a borehole. Densities both close to and far from the borehole can be derived from such measurements. However, the
Craig R. W. Mosher +2 more
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Underground 3D density variation can be obtained via the inversion of gravity data, which is a very important basis for structural division, oil and gas structure definition, and mineral resource evaluation.
Guoqing Ma +4 more
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This study adopted the Euler deconvolution method to conduct an inversion and interpretation of the depth and spatial distribution pattern of field source that lead to gravity variation. For this purpose, mobile gravity data from four periods in the Hexi
Fang Liu, Yingwei Wang, Weifeng Liang
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This paper aims to solve the limitations of traditional gravity physical property inversion methods such as insufficient depth resolution and difficulties in parameter selection, by proposing an improved 3D gravity inversion method based on deep learning.
Guochao Wu +6 more
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Deep Learning-Based Gravity Inversion Integrating Physical Equations and Multiple Constraints
Three-dimensional gravity inversion technology involves inferring the underground density structure based on observed gravity anomaly data. In addition to gravity inversion based on physics-driven methods, deep learning, as a purely data-driven technique,
Wenxuan Shi +6 more
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