Deep learning for 3-D inversion of gravity data
L Zhang, G Zhang, Y Liu, Z Fan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Three-dimensional (3-D) gravity inversion obtains the density distribution of subsurface
geological bodies through observed gravity anomalies. Recently, data-driven methods …
geological bodies through observed gravity anomalies. Recently, data-driven methods …
Deformation of crust and upper mantle in central Tibet caused by the northward subduction and slab tearing of the Indian lithosphere: New evidence based on shear …
Shear-wave splitting provides insight into geodynamic processes such as lithospheric
deformation and upper mantle flow. This study presents shear wave splitting parameters …
deformation and upper mantle flow. This study presents shear wave splitting parameters …
Joint inversion of multiple geophysical and petrophysical data using generalized fuzzy clustering algorithms
Joint inversion that simultaneously inverts multiple geophysical data sets to recover a
common Earth model is increasingly being applied to exploration problems. Petrophysical …
common Earth model is increasingly being applied to exploration problems. Petrophysical …
Constrained gravity inversion with adaptive inversion grid refinement in spherical coordinates and its application to mantle structure beneath Tibetan Plateau
We develop a novel gravity inversion algorithm in spherical coordinates based on adaptive
inversion mesh refinement and multiphysical parameter constraints. The inversion mesh is …
inversion mesh refinement and multiphysical parameter constraints. The inversion mesh is …
Efficient 3‐D large‐scale forward modeling and inversion of gravitational fields in spherical coordinates with application to lunar mascons
An efficient forward modeling algorithm for calculation of gravitational fields in spherical
coordinates is developed for 3‐D large‐scale gravity inversion problems. The 3‐D Gauss …
coordinates is developed for 3‐D large‐scale gravity inversion problems. The 3‐D Gauss …
MapGAN: An intelligent generation model for network tile maps
J Li, Z Chen, X Zhao, L Shao - Sensors, 2020 - mdpi.com
In recent years, the generative adversarial network (GAN)-based image translation model
has achieved great success in image synthesis, image inpainting, image super-resolution …
has achieved great success in image synthesis, image inpainting, image super-resolution …
Fast 3D inversion of gravity data using solution space priorconditioned lanczos bidiagonalization
Inversion of gravity data is one of the most important steps in the quantitative interpretation of
practical data. Inversion is a mathematical technique that automatically constructs a …
practical data. Inversion is a mathematical technique that automatically constructs a …
[PDF][PDF] 位场向下延拓的最小曲率方法
骆遥, 吴美平 - 地球物理学报, 2016 - geophy.cn
摘要针对位场向下延拓的不适定性, 我们将位场向下延拓视为向上延拓的反问题,
提出以位场最小曲率作为约束条件来求解稳定的下延位场. 我们将剖面位场向上延拓表达式用傅 …
提出以位场最小曲率作为约束条件来求解稳定的下延位场. 我们将剖面位场向上延拓表达式用傅 …
Investigation of magnetic inversion methods in highly magnetic environments under strong self-demagnetization effect
RA Krahenbuhl, Y Li - Geophysics, 2017 - library.seg.org
We investigate self-demagnetization effects on magnetic data and develop a comparison of
two existing inversion methods as they apply to quantitative interpretation of such data in …
two existing inversion methods as they apply to quantitative interpretation of such data in …
Fast 3D focusing inversion of gravity data using reweighted regularized Lanczos bidiagonalization method
Inversion of gravity data is one of the important steps in the interpretation of practical data.
One of the most interesting geological frameworks for gravity data inversion is the detection …
One of the most interesting geological frameworks for gravity data inversion is the detection …