Three‐dimensional gravity inversion in conjunction with a practical graphical users interface to determine the depth of sedimentary basins

1998 ◽  
Author(s):  
William R. Petrick
Keyword(s):  
Three Dimensional ◽  
Sedimentary Basins ◽  
Gravity Inversion ◽  
Dimensional Gravity

scholarly journals SUBSURFACE STRUCTURE OF BATURAGUNG ESCARPMENT REVEALED THROUGH THREE-DIMENSIONAL GRAVITY INVERSION

2021 ◽  
Vol 7 (1) ◽  
pp. 17-29
Author(s):  
Selvi Misnia Irawati ◽  
Alutsyah Luthfian ◽  
Agus Laesanpura
Keyword(s):  
Regional Scale ◽  
Three Dimensional ◽  
Gravity Inversion ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Maximum Width ◽  
Geophysical Model ◽  
Extensional Tectonic ◽  
Tectonic Element ◽  
Dimensional Gravity

Baturagung Escarpment is an essential tectonic element of Java Island because it represents a transition from the Southern Mountain Block to the Kendeng Basin. This study has succeeded in producing a three-dimensional model of the Baturagung Escarpment subsurface using gravity anomaly data. The data are distributed along a regional scale transect, whose resolving capability has been tested using a checkerboard test. Our proposed geophysical model can fit the observed data very well, with a 0.77% RMS error. This model exhibits a structural depression bounded by high basement blocks below the Baturagung Escarpment, one of the basement block outcrops at Jiwo Hills. The maximum width of the depression is 10 km, with a depth exceeding 3 km in some places. The depression might be formed because of an extensional tectonic regime that prevailed during the Palaeogene, followed by volcanic arc loads' emplacement up to the early Miocene.

Three-dimensional gravity inversion using graph theory to delineate the skeleton of homogeneous sources

Geophysics ◽  
2015 ◽  
Vol 80 (2) ◽  
pp. G53-G66 ◽  
Author(s):  
Rodrigo Bijani ◽  
Cosme F. Ponte-Neto ◽  
Dionisio U. Carlos ◽  
Fernando J. S. Silva Dias
Keyword(s):  
Genetic Algorithm ◽  
Graph Theory ◽  
Minimum Spanning Tree ◽  
Gravity Data ◽  
A Priori ◽  
Three Dimensional ◽  
Real Data ◽  
Gravity Inversion ◽  
Inversion Method ◽  
Dimensional Gravity

We developed a new strategy, based on graph theory concepts, to invert gravity data using an ensemble of simple point masses. Our method consisted of a genetic algorithm with elitism to generate a set of possible solutions. Each estimate was associated to a graph to solve the minimum spanning tree (MST) problem. To produce unique and stable estimates, we restricted the position of the point masses by minimizing the statistical variance of the distances of an MST jointly with the data-misfit function during the iterations of the genetic algorithm. Hence, the 3D spatial distribution of the point masses identified the skeleton of homogeneous gravity sources. In addition, our method also gave an estimation of the anomalous mass of the source. So, together with the anomalous mass, the skeleton could aid other 3D methods with promising geometric a priori parameters. Several tests with different values of regularizing parameter were made to bespeak this new regularizing strategy. The inversion results applied to noise-corrupted synthetic gravity data revealed that, regardless of promising starting models, the estimated distribution of point masses and the anomalous mass offered valuable information about the homogeneous sources in the subsurface. Tests on real data from a portion of Quadrilátero Ferrífero, Minas Gerais state, Brazil, were performed for complementary analysis of the proposed inversion method.

THE MOHO DEPTH OF THE SOUTH CHINA SEA BASIN FROM THREE-DIMENSIONAL GRAVITY INVERSION WITH CONSTRAINT POINTS AND ITS CHARACTERISTICS

2017 ◽  
Vol 60 (4) ◽  
pp. 368-383
Author(s):  
WU Zhao-Cai ◽  
GAO Jin-Yao ◽  
Ding Wei-Wei ◽  
SHEN Zhong-Yan ◽  
ZHANG Tao ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Three Dimensional ◽  
The South China Sea ◽  
Moho Depth ◽  
Gravity Inversion ◽  
The South ◽  
China Sea ◽  
Dimensional Gravity
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