Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data

Author:

Bogoutdinov Shamil1,Odintsova Anastasiya2,Pirogova A.3

Affiliation:

1. Geophysical Center of the Russian Academy of Sciences (GC RAS); Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences (IPE RAS)

2. Geophysical Center of the Russian Academy of Sciences, Moscow, Russia

3. Lomonosov Moscow State Univerisity

Abstract

Despite the impressive list of examples of the integration of pattern recognition theory into various activities in the development of oil and gas fields, the authors propose a fundamentally new approach to the use of artificial intelligence. The paper considers in detail the algorithm for searching for extremity zones, based on discrete mathematical analysis (DMA), as applied to the problem of identifying geological hazards. The application of the method is shown on models of the physical properties of rocks reconstructed from seismic data. Potentially, it can also be applied directly to the wave seismic field to identify objects.

Publisher

Geophysical Center of the Russian Academy of Sciences

Subject

General Earth and Planetary Sciences

Reference9 articles.

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