Salt dome

AccessScience ◽  
2015 ◽  
Keyword(s):  
Salt Dome

GRAVITY AND MAGNETIC INVESTIGATIONS AT THE GRAND SALINE SALT DOME, VAN ZANDT CO., TEXAS

Geophysics ◽  
1945 ◽  
Vol 10 (3) ◽  
pp. 376-393 ◽  
Author(s):  
Jack W. Peters ◽  
Albert F. Dugan
Keyword(s):  
Physical Properties ◽  
Quantitative Evaluation ◽  
Gravity Data ◽  
Salt Dome ◽  
Salt Mine ◽  
Geological Data ◽  
East Texas ◽  
Additional Information ◽  
Theoretical Mass ◽  
Gravity And Magnetic

During May, 1944, detailed gravity and magnetic surveys were made at the Grand Saline Salt Dome to secure additional information on the physical properties of this typical East Texas salt dome. The results of the surface gravity and magnetic surveys, and the subsurface gravity survey in the Morton Salt Mine are illustrated and discussed. Densities and the available subsurface data were compiled and were utilized in a quantitative evaluation of the observed gravity data. The theoretical mass distribution which was determined by this quantitative evaluation is not intended to represent the unique solution of the geophysical and geological data; instead, it is offered as a possible solution based on relatively simple assumptions.

Imaging a salt dome flank by directional redatuming of a field 3‐D VSP survey

2009 ◽  
Author(s):  
Rongrong Lu ◽  
Mark E. Willis ◽  
Albena Mateeva ◽  
Jorge Lopez ◽  
M. Nafi Toksöz
Keyword(s):  
Salt Dome

Fluid-rock interactions in the salt dome environment: An introduction and review

1988 ◽  
Vol 74 (1-2) ◽  
pp. 1-24 ◽  
Author(s):  
Harry H. Posey ◽  
J.Richard Kyle
Keyword(s):  
Salt Dome

Genesis of Zn-Pb-(Ba-Sr) mineralization in the peridiapiric cover of Jebel El Akhouat, Ech Chehid salt dome, Northern Tunisia

2021 ◽  
Author(s):  
Nejib Jemmali ◽  
Larbi Rddad ◽  
Marta Sośnicka ◽  
Emna Rahali ◽  
Fouad Souissi ◽  
...  
Keyword(s):  
Salt Dome ◽  
Northern Tunisia

Assessing Model Uncertainty for the Scaling Function Inversion of Potential Fields

Geophysics ◽  
2021 ◽  
pp. 1-39
Author(s):  
Mahak Singh Chauhan ◽  
Ivano Pierri ◽  
Mrinal K. Sen ◽  
Maurizio FEDI
Keyword(s):  
Simulated Annealing Algorithm ◽  
Scaling Function ◽  
Vertical Section ◽  
Gravity Data ◽  
Geometric Model ◽  
Salt Dome ◽  
The Body ◽  
Gravity Inversion ◽  
Geometrical Parameters ◽  
The Scaling Function

We use the very fast simulated annealing algorithm to invert the scaling function along selected ridges, lying in a vertical section formed by upward continuing gravity data to a set of altitudes. The scaling function is formed by the ratio of the field derivative by the field itself and it is evaluated along the lines formed by the zeroes of the horizontal field derivative at a set of altitudes. We also use the same algorithm to invert gravity anomalies only at the measurement altitude. Our goal is analyzing the different models obtained through the two different inversions and evaluating the relative uncertainties. One main difference is that the scaling function inversion is independent on density and the unknowns are the geometrical parameters of the source. The gravity data are instead inverted for the source geometry and the density simultaneously. A priori information used for both the inversions is that the source has a known depth to the top. We examine the results over the synthetic examples of a salt dome structure generated by Talwani’s approach and real gravity datasets over the Mors salt dome and the Decorah (USA) basin. For all these cases, the scaling function inversion yielded models with a better sensitivity to specific features of the sources, such as the tilt of the body, and reduced uncertainty. We finally analyzed the density, which is one of the unknowns for the gravity inversion and it is estimated from the geometric model for the scaling function inversion. The histograms over the density estimated at many iterations show a very concentrated distribution for the scaling function, while the density contrast retrieved by the gravity inversion, according to the fundamental ambiguity density/volume, is widely dispersed, this making difficult to assess its best estimate.

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