1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. Saint Petersburg 2020
  5. Conference paper

Abstract

Summary

Implementation of Information Technologies allows increasing the efficiency of the data analysis to support decisions on optimization of oil and gas production. Commonly, the process of determining the wells for stimulation treatments includes a time consuming and tedious step-by-step comprehensive analysis of borehole and production data of each well. Data Mining and Machine Learning are powerful tools for solving this issue. Using Fuzzy Logic with Genetic Optimization allows processing huge amount of data to uncover new patterns and knowledge from existing parameters. Taking into account borehole and production data, a map of the workover potential efficiency is created. Using Data Mining and Machine Learning can reduce the time and risks in the decision making process in the field of optimization of oil and gas production by applying an Intelligent Assistant that allows assessing the workover potential efficiency.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202053059
2020-11-16
2024-04-26

  • From This Site

    /content/papers/10.3997/2214-4609.202053059
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. RossT. J.
    Fuzzy logic with engineering applications. - John Wiley & Sons, 2005.
     [Google Scholar]
  2. MamdaniE. H., AssilianS.
    An experiment in linguistic synthesis with a fuzzy logic controller // International journal of man-machine studies. - 1975. - Т. 7. - №. 1. - С. 1–13.
     [Google Scholar]
  3. ZadehL. A.
    Fuzzy logic // Computer. - 1988. - Т. 21. - №. 4. - С. 83–93.
     [Google Scholar]
  4. MitchellM.
    An introduction to genetic algorithms. - MIT press, 1998.
     [Google Scholar]
  5. ПанченкоТ.В.
    Генетические алгоритмы. - Издательские дом «Астраханский университет», 2007
     [Google Scholar]
  6. Разработка и эксплуатация нефтяных и газовых месторождений. - Издательство Пермского национального исследовательского политехнического университета, 2013
     [Google Scholar]
  7. RossT. J.
    Fuzzy logic with engineering applications. - John Wiley & Sons, 2005.
     [Google Scholar]
  8. MamdaniE. H., AssilianS.
    An experiment in linguistic synthesis with a fuzzy logic controller // International journal of man-machine studies. - 1975. - Т. 7. - №. 1. - С. 1–13.
     [Google Scholar]
  9. ZadehL. A.
    Fuzzy logic // Computer. - 1988. - Т. 21. - №. 4. - С. 83–93.
     [Google Scholar]
  10. MitchellM.
    An introduction to genetic algorithms. - MIT press, 1998.
     [Google Scholar]
  11. PanchenkoT.V.
    Geneticheskie algoritmy. - Izdatel'skie dom «Astrahanskij universitet», 2007
     [Google Scholar]
  12. Razrabotka i ekspluataciya neftyanyh i gazovyh mestorozhdenij. - Izdatel'stvo Permskogo nacional'nogo issledovatel'skogo politekhnicheskogo universiteta, 2013
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202053059
Loading
Determining the Wells for Stimulation Treatments using Machine Learning
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202053059
/content/papers/10.3997/2214-4609.202053059
/content/papers/10.3997/2214-4609.202053059
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error