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Impact of objective function on gravitational data inversionNormal access

Author: P. Gryshchuk
Event name: 11th International Conference on Monitoring of Geological Processes and Ecological Condition of the Environment
Session: Modern Technologies Of Geophysical Monitoring
Publication date: 19 March 2018
DOI: 10.3997/2214-4609.201800083
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.16Mb )
Price: € 20

The research is devoted to the comparison of the average, root-mean-square and logarithmic objective functions for the two-dimensional inversion of gravity data based on the genetic algorithm. The values of the gravitational field and its horizontal gradient were used to analyze the cut from the three models. Error between source and model fields was calculated as a percentage. This has ensured the correctness of the comparison of different objective functions. Objective function and the choice of field characteristics impact on the determination of the geometry of the models. The inversion results for a three-layer section were successful for all objective functions. Difference of norms is appeared for the modeling of a four-layer section. Fast and precise inversion was obtained for the average norm from the data of the horizontal gradient field for a three-layer and four-layer section.

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