gravity gradiometry
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2021 ◽  
Author(s):  
Alexey V Veryaskin
Keyword(s):  

Geophysics ◽  
2021 ◽  
pp. 1-74
Author(s):  
Elizabeth Maag-Capriotti ◽  
Yaoguo Li

Gravity gradiometry inversion can provide important knowledge about a salt body and assist in subsalt imaging. However, such inversions are faced with difficulties associated with the lack of response from the nil zone in which the salt density is nearly identical to that of the background sediments and weak signals from the deeper portion of the salt. It is well understood that such difficulties could be alleviated by incorporating prior information, such as the top of salt from seismic imaging and petrophysical data, into the inversions. How to effectively incorporate such prior information is still a challenge, and what level of increased knowledge such constrained inversions can provide remains to be understood. We have investigated and compared the additional knowledge provided by incorporating different forms of prior information, including a top-of-salt surface, and an expected density contrast model. These different types of information are incorporated through different strategies of constrained inversion, including an inversion with bound constraints on the density contrast, inversion after a reduction-to-binary process, and discrete-valued inversion. We apply these strategies first to synthetic gravity gradiometry data calculated from the SEG/EAGE salt body and evaluate the improvements to the recovered salt provided from successive imposition of increased prior information. We further apply the strategies to a set of marine gravity gradiometry data collected in the Gulf of Mexico and examine the additional knowledge gained from the imaging of the salt in the region. We show that much more valuable knowledge about the salt can be obtained with the right prior information imposed through an effective strategy, and demonstrate that such gravity gradiometry data contain information about the salt body at depths much greater than previously recognized.


Minerals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 366
Author(s):  
Michael Jorgensen ◽  
Michael S. Zhdanov

Conventional 3D magnetic inversion methods are based on the assumption that there is no remanent magnetization, and the inversion is run for magnetic susceptibility only. This approach is well-suited to targeting mineralization; however, it ignores the situation where the direction of magnetization of the rock formations is different from the direction of the induced magnetic field. We present a novel method of recovering a spatial distribution of magnetization vector within the rock formation based on joint inversion of airborne gravity gradiometry (AGG) and total magnetic intensity (TMI) data for a shared earth model. Increasing the number of inversion parameters (the scalar components of magnetization vector) results in a higher degree of non-uniqueness of the inverse problem. This increase of non-uniqueness rate can be remedied by joint inversion based on (1) Gramian constraints or (2) joint focusing stabilizers. The Gramian constraints enforce shared earth structure through a correlation of the model gradients. The joint focusing stabilizers also enforce the structural similarity and are implemented using minimum support or minimum gradient support approaches. Both novel approaches are applied to the interpretation of the airborne data collected over the Thunderbird V-Ti-Fe deposit in Ontario, Canada. By combining the complementary AGG and TMI data, we generate jointly inverted shared earth models that provide a congruent image of the rock formations hosting the mineral deposit.


Astrodynamics ◽  
2021 ◽  
Author(s):  
William Gordon Ledbetter ◽  
Rohan Sood ◽  
James Keane ◽  
Jeffrey Stuart

AbstractA growing interest in small body exploration has motivated research into the rapid characterization of near-Earth objects to meet economic or scientific objectives. Specifically, knowledge of the internal density structure can aid with target selection and enables an understanding of prehistoric planetary formation to be developed. To this end, multi-layer extensions to the polyhedral gravity model are suggested, and an inversion technique is implemented to present their effectiveness. On-orbit gravity gradiometry is simulated and employed in stochastic and deterministic algorithms, with results that imply robustness in both cases.


2021 ◽  
Vol 61 (2) ◽  
pp. 679
Author(s):  
Jelena Markov ◽  
Claudio Delle Piane ◽  
Ernest Swierczek ◽  
Clive Foss ◽  
Mohinudeen Faiz

The Beetaloo Sub-basin is known for its vast unconventional hydrocarbon resources even though it is relatively underexplored. There is reasonably good coverage of 2D seismic within the sub-basin which is used as the basis for most structural interpretations. However, seismic quality varies, and it is occasionally deteriorated by the presence of basalts from the Kalkarindji suite and the karstic nature of the Gum Ridge formation. Aeromagnetic data, constrained by petrophysical logs are used, to map faults in the basalts of the Kalkarindji suite and their lateral extent to the South and the East of the sub-basin. The same structural elements are identified in the full tensor gravity gradiometry data. The top of this unit is observed in the electrical conductivity profiles, derived from Tempest data, in the NW part of the eastern sub-basin.


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