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

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY Russian Journal of Earth Sciences Pub Date : 2022-08-30 DOI:10.2205/2022es000796
S. Bogoutdinov, Anastasiya Odintsova, A. Pirogova
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引用次数: 1

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.
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使用离散数学分析算法搜索极端区域,以便根据地球物理数据识别钻井时的风险
尽管将模式识别理论整合到油气田开发的各种活动中的例子令人印象深刻,但作者提出了一种使用人工智能的全新方法。本文详细研究了基于离散数学分析(DMA)的极值带搜索算法在地质灾害识别中的应用。该方法在地震资料重建的岩石物性模型上得到了应用。潜在地,它也可以直接应用于波地震场来识别物体。
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来源期刊
Russian Journal of Earth Sciences
Russian Journal of Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.90
自引率
15.40%
发文量
41
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