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Improved Compact Inversion Approach For 2D Gravity Data Modelling Using Probabilistic BoundsNormal access

Authors: R. Srivastava, A. Kumar Basantaray and A. Mandal
Event name: 80th EAGE Conference and Exhibition 2018
Session: Potential Field Methods I
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201801464
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 690.15Kb )
Price: € 20

Summary:
This paper is an improved version of the compact inversion approach. In the latest improvement by Ghalehnoee et al. (2017) depth weighing matrix and kernel weighing matrix were introduced to take care of the decay of kernel to depict the exact location, size and density of anomalous mass. Though it has improved the results but it could not reveal the exact shape and depth of the bodies and problem were also observed in the higher noise level. Therefore, in the present work a modified compact inversion approach is proposed by adding a probabilistic bound in the weighted least square solution in MATLAB. Application of this approach to the synthetic and field data sets depict the superiority in delineating the shape and depth of the causative sources compared to its predecessors.


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