Article
Geochemistry & Geophysics
Wei-Kai Li, Qing-Lu Mu, Meng Yang, Wei Feng, Min Zhong
Summary: Mo determination is important for studying the Earth's interior structure, and can be recovered using gravimetric data based on the isostasy-compensation hypothesis in geodesy. An improved iterative inversion method combining 3-D integration and linear regularization is proposed to solve the nonlinear problem of isostasy. Two joint inversion scenarios utilizing horizontal components and all non-vertical components of the gravity-gradient tensor from GOCE are developed. The study provides new insights into the tectonic structure of the Qinghai-Tibet Plateau based on high-precision satellite gravimetry.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Franck Eitel Kemgang Ghomsi, Robert Tenzer, Emmanuel Njinju, Rebekka Steffen
Summary: The West and Central African Rift System is a unique stable continental structure formed by large-scale topographic swells. Through the use of global gravitational and topographic-bathymetric models, researchers were able to determine the crustal structure and Moho depth variations in different regions of the WCARS. The findings also shed light on metacratonization processes that occurred during the Neoproterozoic.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Yunus Levent Ekinci, Caglayan Balkaya, Gokhan Gokturkler, Senol Ozyalin
Summary: The study focused on the Aegean Graben System in western Turkey, using differential evolution algorithm (DEA) to invert the depths of sediment cover-metamorphic basement. Parameterization was done through discretizing the basins into vertical blocks, and mathematical nature of the inverse problem was explored. Both synthetic and field data inversions showed that the maximum depths to the metamorphic basement reliefs in the grabens are shallower than previous findings, with the sediment thicknesses resolvable.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Dan Zhu, Xiangyun Hu, Shuang Liu, Hongzhu Cai, Shan Xu, Linghui Meng, Henglei Zhang
Summary: Gravity surveys are an important method for investigating the Earth's interior. This study presents a novel non-convex framework for gravity inversion and develops an improved optimization algorithm for efficient model reconstruction. The study also reconstructs rocks in the Nanling region of China, providing guidance for further deep resource exploration.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Yunus Levent Ekinci, Caglayan Balkaya, Gokhan Gokturkler, Hanbing Ai
Summary: This study presents a gravity inversion procedure using the success-history-based adaptive differential evolution (SHADE) algorithm to reconstruct the 3-D basement relief geometry in sedimentary basins. The method involves exponential population size reduction and self-adaptive control parameters to solve the highly nonlinear inverse problem. The results demonstrate the power and reliability of the SHADE with EPSR strategy as an alternative inversion tool for highly nonlinear geophysical problems.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
M. Lv, Y. Zhang, S. Liu
Summary: Gravity inversion is a process of obtaining underground anomalies' spatial structure and physical properties using surface collected gravity anomaly data. Recent developments in deep learning have achieved good results for gravity inversion methods based on deep learning. However, using deep learning inversion requires generating a large amount of training data and consumes significant time and storage. To address this, we propose using a neural network to approximate the forward computation and introduce multitask learning to enhance the model's generalization ability.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Yongbo Li, Shi Chen, Honglei Li, Bei Zhang
Summary: In this study, a method for estimating fault parameters and evaluating their uncertainty is proposed using a parametrized 3-D dipping model and Bayesian theory. The effectiveness of the method is validated through synthetic data and practical application, showing its efficiency in revealing 3-D dipping fault parameters and quantifying parameter uncertainty.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
F. G. Montesinos, J. Arnoso, D. Gomez-Ortiz, M. Benavent, I. Blanco-Montenegro, E. Velez, T. Martin-Crespo, A. V. Gorbatikov, M. Y. Stepanova
Summary: This study presents a Bouguer anomaly gravity map of Gran Canaria Island based on a new gravity data set and marine gravity data. Using gravity inversion, the study investigates the structures beneath the island's surface and derives a 3D gravity sources model. The results show different structures related to volcanic stages, magma plumbing systems, and low-density bodies in the center and shallow areas of the island.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geochemistry & Geophysics
F. G. Montesinos, J. Arnoso, D. Gomez-Ortiz, M. Benavent, I Blanco-Montenegro, E. Velez, T. Martin-Crespo, A. Gorbatikov, M. Y. Stepanova
Summary: By utilizing new gravity data and marine gravity data, a 3D gravity sources model of Gran Canaria Island has been derived to investigate the geological structures beneath its surface. The density model identifies structures related to different volcanic stages, revealing the evolutionary history of Gran Canaria.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geochemistry & Geophysics
M. Capponi, D. Sampietro, J. Ebbing, F. Ferraccioli
Summary: In this study, a Bayesian gravity inversion algorithm was used to infer a complete 3-D density model of the crust in the Wilkes Land region. The main objective was to provide information on the crust thickness and sediment deposits. Two gravity observations were inverted to adjust the initial model and obtain an improved model coherent with gravity. The results reveal a thick crust with high densities, sedimentary basins with significant thicknesses, and a lighter mantle density below the Trans-Antarctic Mountains.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
A. L. Codd, L. Gross
Summary: The algorithm presented is tailored for point gravity data, aiming for exact placement of observations without interpolation. Discretization using an unstructured tetrahedral finite-element mesh and regularization following the Bayesian framework with a differential operator approximation of an exponential covariance kernel are key components. The algorithm minimizes computational costs and memory requirements by using diagonal entries of the regularization operator as the pre-conditioner and solving matrix systems with smoothed aggregation algebraic multigrid pre-conditioned conjugate gradient (AMG-PCG).
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
R. Huang, Y. Zhang, S. Vatankhah, S. Liu, R. Qi
Summary: This study presents an efficient strategy, based on VNet, for solving the large-scale gravity inverse problem. By constructing a large number of geological models and forward model data sets with different shapes and dimensions, and using the idea of semantic segmentation to train an inversion network, the inversion of large-scale gravity data set is achieved.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Jie Liu, Jianzhong Zhang
Summary: This paper introduces a structure-based joint inversion method that uses seismic reflection traveltimes, slopes, and Bouguer gravity anomaly data to simultaneously build velocity and density models. The method improves the distribution and structural features of physical properties, especially in deep and complex tectonic situations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Roland Martin, Jeremie Giraud, Vitaliy Ogarko, Sebastien Chevrot, Stephen Beller, Pascal Gegout, Mark Jessell
Summary: This study demonstrates the benefits of incorporating seismic tomography constraints in gravity data inversion to improve density distributions. By enforcing structural similarities between seismic velocity and density models, the inversion process successfully recovers density contrasts at different depths without compromising the fit to gravity data. The final density model provides valuable insights into the geological structures, thermal state, and composition of the Pyrenean lithosphere in the western region.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Santiago R. Soler, Leonardo Uieda
Summary: The equivalent source technique is effective but computationally expensive for processing gravity and magnetic data. The authors propose two techniques to reduce the computational cost: block-averaging source locations and the gradient-boosted equivalent source algorithm. Through experiments, it is shown that these techniques can produce accurate interpolations efficiently.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)