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Avtomatika i Telemekhanika, 2019, Issue 5, Pages 118–135
DOI: https://doi.org/10.1134/S0005231019050076 (Mi at14944) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Intellectual Control Systems, Data Analysis

Analyzing the state of oil field development based on the Fisher and Shannon information measures

B. A. Suleimanov, N. I. Guseinova

The State Oil Company of the Azerbaijan Republic (SOCAR), Oil and Gas Research and Design Institute, Baku, Azerbaijan
Full-text PDF (8594 kB) Citations (2)
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DOI: https://doi.org/10.1134/S0005231019050076
Abstract: For the time series that describe the amounts of crude and load oil, the Fisher and Shannon entropies as well as other information measures are calculated. Their dynamics are used for performing an early diagnosis of the temporal limits of the oil field evolution, including its separate zones, and also for evaluating the state of oil production in response to planned bed stimulation. The suggested method is tested on the Forties Oil Field data. In accordance with the experimental results, oil field exploitation without considering the dynamics of these information measures reduces oil production, increasing the output of water-cut oil and causing an inefficient mode of bed stimulation.
Keywords: oil field development, decision-making, entropy, amount of information, time series analysis.
Presented by the member of Editorial Board: A. G. Kushner

Received: 09.12.2017
Revised: 09.10.2018
Accepted: 08.11.2018
English version:
Automation and Remote Control, 2019, Volume 80, Issue 5, Pages 882–896
DOI: https://doi.org/10.1134/S0005117919050072
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. A. Suleimanov, N. I. Guseinova, “Analyzing the state of oil field development based on the Fisher and Shannon information measures”, Avtomat. i Telemekh., 2019, no. 5, 118–135; Autom. Remote Control, 80:5 (2019), 882–896
Citation in format AMSBIB
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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