Gravity modeling of 21/2-D sedimentary basins — a case of variable density contrast

2005 ◽  
Vol 31 (7) ◽  
pp. 820-827 ◽  
Author(s):  
V. Chakravarthi ◽  
N. Sundararajan
Keyword(s):  
Sedimentary Basins ◽  
Variable Density ◽  
Density Contrast ◽  
Gravity Modeling

scholarly journals Using genetic algorithm to determine 2-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth

2015 ◽  
Vol 18 (3) ◽  
pp. 36-46
Author(s):  
Toan Phuoc Luong ◽  
Liet Van Dang
Keyword(s):  
Genetic Algorithm ◽  
Regularization Parameter ◽  
Fitness Function ◽  
Mekong Delta ◽  
Gravity Anomalies ◽  
Sedimentary Basins ◽  
Density Contrast ◽  
Gravity Modeling ◽  
Parabolic Law ◽  
Norm Model

A program of genetic algorithm has been developed to estimate the depth of a 2-D sedimentary basin whose density contrast varies with depth according to a parabolic law. The model was built consisting of 2-D vertical juxtaposed prisms. Depths of the prisms, computed by genetic algorithm based on random values and optimal depths were finally found after many generations of evolution. The genetic algorithm using the fitness function was combined by root mean square error of data and "norm" model and the latter was multiplied by a Tikhonov regularization parameter to stabilize the solutions. Firstly, the method was tested on a model and its result were coincident with the model. Secondly, it was applied to interprete a profile of gravity anomaly in Mekong Delta. The results showed that the calculate and observed gravity anomalies were well fitted.

Three‐dimensional Fourier gravity inversion with arbitrary density contrast

Geophysics ◽  
1992 ◽  
Vol 57 (1) ◽  
pp. 131-135 ◽  
Author(s):  
F. Guspí
Keyword(s):  
Frequency Domain ◽  
Three Dimensional ◽  
Gravity Anomalies ◽  
Sedimentary Basins ◽  
Variable Density ◽  
Density Contrast ◽  
Gravity Inversion ◽  
Linear Quadratic ◽  
Space Domain ◽  
Depth Functions

The use of variable‐density contrasts in gravity inversion has gained increasing importance in recent years due to the necessity of constructing more realistic models of geophysical structures such as sedimentary basins. Linear, quadratic, and exponential variations, either in the space or in the frequency domain, are the basis of several methods. See, among others, the papers by Granser (1987), Chai and Hinze (1988), Reamer and Ferguson (1989), and Rao et al. (1990). Guspí (1990) used polynomial density‐depth functions for inverting gravity anomalies into 2-D polygons in the space domain.

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