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ON THE SOLUTION OF THE GRAVITY DIRECT PROBLEM FOR A SPHERE WITH A SIMULATED ANNEALING APPROACH

Farida Abdoldina, Assem Nazirova, Yurii Dubovenko, G.K. Umirova

First published: 2020-09-20https://doi.org/10.5593/sgem2020/2.1/s07.031View metrics

Abstract

The solution of the gravity direct problems performs a crucial impact on the results of investigation of the gravity anomalies in oil and gas fields. The direct problem of gravimetry itself means that we have to determine the analytical characteristics of the gravitational field from a set of specified parameters of the geological medium (such as an average depth, an excess density, coordinates of anomaly sources, and other medium parameters). Evaluation of the distribution of similar parameters of anomalous bodies is extremely important for geodynamic monitoring of deposits. Within the framework of stochastic optimization techniques, a simulated annealing approach can be used to estimate the above-mentioned parameters distribution. This paper describes the implementation of the simulated annealing technique to solve a series of gravity direct problems based on gravity monitoring data. This method allows us to select the values simultaneously according to two parameters of the medium studied. The proposed method is developed as one of the subsystems of a special GIS for storing, processing, analysing, and visualizing of gravity monitoring data over the oil and gas field. The operation of the algorithm is characterized and the simulation results are given. For calculations a sequence of homogeneous spherical bodies was chosen, and their initial calculation parameters and the criterion to derive the optimal solutions are indicated. The initial parameters were the centre of the sphere x, its radius R, and the initial distribution of the gravity field ?g, and the parameters for finding the optimal values were the values of density ? and the average depth h. The obtained results of the system showed the acceptable accuracy of the algorithm for solution of the gravity direct problem by the proposed approach. The simulated annealing algorithm made it possible to increase the reliability of the model and reduce working time for the analysis of the measured gravitational field.

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Publication details

Title
ON THE SOLUTION OF THE GRAVITY DIRECT PROBLEM FOR A SPHERE WITH A SIMULATED ANNEALING APPROACH
Authors
Farida Abdoldina, Assem Nazirova, Yurii Dubovenko, G.K. Umirova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2020
Pages
239-246
SWS Citekey
Abdoldina20207239246
ISSN
1314-2704
ISBN
978-619-7603-06-4
Language
en
Publication type
Conference Paper
Keywords
References7
  1. Nazirova, A., Abdoldina, F., Dubovenko, Y., Umirova, G., Application of the simu-lated annealing method for gravimetric monitoring data analysis of the bowels condition of oil and gas deposits, Bulletin of the Kazakh National Research Technical university after K.I. Satbayev, Kazakhstan, vol. 3/ issue 133, pp 397-405, 2019. (in Russian).

  2. Zhao, L.S., Sen, M.K., Stoffa, P.L., Frohlich, C., Application of very fast simulated annealing to the determination of the crustal structure beneath Tibet, Geophysical pros-pecting, USA, vol. 125, pp 355–370, 1996.

  3. Sen, M. and Stoffa, P., Global optimization methods in geophysical inversion. Simu-lated annealing methods, Cambridge University Press, UK, pp 81-118, 2013.

  4. Singh, A., Biswas, A., Application of global particle swarm optimization for inversion of residual gravity anomalies over geological bodies with idealized geometries, Natural Resources Research, USA, vol. 25/ issue 3. pp 297-314, 2015.

  5. Nazirova, A., Abdoldina, F., Dubovenko, Y., Umirova, G., Development of GIS sub-systems for gravity monitoring data analysis of the subsoil conditions for oil and gas fields, Geoinformatics 2019, Ukraine, 2019.

  6. Nazirova, A., Abdoldina, F., Aymahanov, M., Umirova, G., Muhamedyev, R., An automated system for gravimetric monitoring of oil and gas deposits, First International Conference, DTGS 2016, Russia, pp 585-595, 2016.

  7. Blokh Y.I., Interpretation of gravitational and magnetic anomalies, Tutorial, Moscow, Russia, 231 p, 2009. (in Russian).

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