1887

Abstract

Summary

In petrophysics and geophysics several algorithms of clustering (usually for separating facies, seismic facies and lithotypes) and approximation are widely used. This makes it appropriate to search for new algorithms and to identify the area of preference for each of them.

The report considers cluster regression and two model problems for the solution of which it is applied.

On the data sets of laboratory measurements on the core for one of the fields in Western Siberia (the deposits include the entire range of layers from BV-8 to J2 inclusive), problems of porosity permeability restoration are considered taking into account differentiating variables and porosity in depth and acoustic properties. On the quality of the approximation of the training sample, cluster regression significantly exceeds the multidimensional regression. The area of the preferred application of the algorithm is analyzed.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201802445
2018-09-10
2024-04-25
Loading full text...

Full text loading...

References

  1. ЕникеевБ.Н.
    Альтернативные пути формализации знаний для петрофизической инверсии. ГЕОМОДЕЛЬ -2017 DOI: 10.3997/2214‑4609.201702301
    https://doi.org/10.3997/2214-4609.201702301 [Google Scholar]
  2. EnikeevB.N.
    Selection and Synthesis of Petrophysical Knowledge on the Basis of Building a Semiotic Model of Professional WorkGeomodel 2015 DOI: 10.3997/2214‑4609.201413941
    https://doi.org/10.3997/2214-4609.201413941
  3. ЕникеевБ.Н.
    Некоторые актуальные проблемы российской петрофизики и интерпретации. В сб.: “Петрофизика сложных коллекторов Проблемы и перспективы 2014” Изд-во “ГЕОМОДЕЛЬ”2015 стр.10–41..
    [Google Scholar]
  4. Элементы технологизации петрофизического обоснования в рамках ModERn (проблемы, базы знаний, опыт, перспективы), Нефть-Газ-Новации2017 №1 стр 22–27
    [Google Scholar]
  5. РастригинЛ.А., ЭренштейнР.Х.
    Метод коллективного распознаванияМ.: Энергоиздат, 1981. - 80 с.: ил. - (Библиотека по автоматике. Выпуск 615).
    [Google Scholar]
  6. ЭлланскийМ.М., ЕникеевБ.Н.
    Использование многомерных связей в нефтегазовой геологии. Недра1991 205 стр
    [Google Scholar]
  7. EnikeevBN
    Alternative ways of formalizing knowledge for petrophysical inversion. GEOMODEL -2017EARTHDOC, (Russian) DOI: 10.3997/2214‑4609.201702301
    https://doi.org/10.3997/2214-4609.201702301 [Google Scholar]
  8. EnikeevB.N.
    Selection and Synthesis of Petrophysical Knowledge on the Basis of Building a Semiotic Model of Professional WorkGeomodel 2015 DOI: 10.3997/2214‑4609.201413941
    https://doi.org/10.3997/2214-4609.201413941 [Google Scholar]
  9. EnikeevBN
    Some actual problems of Russian petrophysics and interpretation. In: “Petrophysics of Complex Reservoirs Problems and Prospects 2014” Publishing house “GEOMODEL”2015 p.10–41.. (Russian)
    [Google Scholar]
  10. Elements of technologization of petrophysical substantiation within ModERn (problems, knowledge bases, experience, perspectives), Oil-Gas-Novation2017 №1 стр. 22–27 (Russian)
    [Google Scholar]
  11. RastriginLA, ErensteinR.X.
    Method of collective recognitionM.: Energoizdat, 1981. - 80 p.: ill. - (Library on Automation, Issue 615). (Russian)
    [Google Scholar]
  12. EllanskyMM, EnikeevBN
    The use of multidimensional relationships in oil and gas geology. Moscow, NEDRA1991 205 pages (Russian)
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201802445
Loading
/content/papers/10.3997/2214-4609.201802445
Loading

Data & Media loading...

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