A New Approach to the Identification of Active Fracture Zones of Oil-Bearing Rocks Based on Satellite Images and GIS Technologies
- DOI
- 10.2991/aisr.k.201029.045How to use a DOI?
- Keywords
- seismic data, satellite images, active fracture zones, landscape indicators
- Abstract
Methodological issues of identifying active fracture zones as enhanced oil recovery zones using information-space technologies are considered. Because the insufficiency of seismic methods for identifying active fracture zones used landscape indicators of active fracturing zones, which are determined by the results of a joint analysis of seismic data and satellite images. To determine the landscape indicators, a summer satellite image of medium resolution (30 m.) Landsat was used. To identify landscape indicators of active fracture zones, the landscape features of the field territory were used, in particular, the directions of rivers and other watercourses, the rectangular shapes of the boundaries of the transition of wetlands to forest complexes, and others. The location of landscape indicators was used to confirm the identification of active zones of fracture by landscape indicators near a high-debit well in a satellite image. Other examples of interpretation of active fracture zones using the identified landscape indicators in a satellite image are presented.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vladimir V. Krupitskiy AU - Yuri M. Polishchuk PY - 2020 DA - 2020/11/10 TI - A New Approach to the Identification of Active Fracture Zones of Oil-Bearing Rocks Based on Satellite Images and GIS Technologies BT - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020) PB - Atlantis Press SP - 233 EP - 236 SN - 1951-6851 UR - https://doi.org/10.2991/aisr.k.201029.045 DO - 10.2991/aisr.k.201029.045 ID - Krupitskiy2020 ER -