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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v44.i3.10
pages 1-14

Modification of Information Technology for Hydrocarbons Prospecting Management

Alexander N. Golodnikov
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev
Pavel S. Knopov
V. M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Ukraine


The problems of geological exploration works management in the stage of exploration of an open field are considered. The analysis of the approach to management of the geological exploration process on the basis of monitoring the stabilization of calculated parameters, developed by scientists of the ZapSibNIGNI institute is carried out. This approach involves the construction of a dynamic model that would describe the evolution of the ideas about the spatial variability of every of the studied geological parameters. The main shortcoming of previously proposed dynamic models is that they describe actually reached information state, but do not allow to estimate the consequences of realization of the supposed variants of management decisions (the definition of location of wells in the aria, their number, wells parameters, types and volumes of research that need to be performed). The developed model, which enables one in several steps ahead to predict the state of knowledge for various variants of location of the design wells.


  1. Nesterov I.I., Vasiliev V.B., Volkov A.M. et al., The theory and practice of exploration for oil and gas.

  2. Surovnev N.V., Sobolevskaya G.V., A simulation model for managing the exploration of oil and gas fields.

  3. Surovnev N.V., Method of modeling geological processes.

  4. Starikov S.A., Search stage of the exploration process as an object of optimal control.

  5. Kasatkin V.E., Starikov S.A., Pyatkov V.I., Computer simulation of the process of Sobinskogo oil and gas field exploration.

  6. Volkov A.M., Geological mapping of oil and gas areas by means of computers.

  7. S.M. Ermakov , The mathematical theory of experiment planning.

  8. V.S. Kopolyuk , Handbook of probability and mathematical statistics.

  9. Sidorov A.N., The optimal method of constructing maps of geological parameters in terms of interpolating and smoothing splines.

  10. Sidorov A.N., Toropov S.V., On estimation of the accuracy of maps in isolines.

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