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Non-parametric Criteria of Chaotic Data Analysis in Oil Production

  • T. Sh. Salavatov
  • A. A. Abbasov
  • H. Kh. Malikov
  • D. F. Guseynova
  • A. A. SuleymanovEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)

Abstract

This paper presents distribution analysis of oil production data chaotic fluctuations. Use of distribution analysis allows giving numerical characterization to fluctuation processes. This enables prediction of certain problems in well life based on the change of this numerical characterization.

In particular, water break-through prediction is considered in this paper with application of distribution analysis.

The paper suggests non-parametric criteria for analysis of production data chaotic fluctuations.

The suggested methods enable analysis changing of technological process with data distribution skewness, and also if using of other method is not proper or not to purpose.

The offered non-parametric method criteria enable simplifying of processes’ analysis, which are characterized by multi-fractal, chaotic data, and their evaluation procedure can be simply implemented.

Validity of diagnosis methods has been confirmed in modeling and practical examples.

Keywords

Chaotic fluctuations Distribution Non-parametric criteria 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • T. Sh. Salavatov
    • 1
  • A. A. Abbasov
    • 2
  • H. Kh. Malikov
    • 1
  • D. F. Guseynova
    • 3
  • A. A. Suleymanov
    • 1
    Email author
  1. 1.Scientific Research Institute “Geotechnological Problems of Oil, Gas and Chemistry”BakuAzerbaijan
  2. 2.Oil and Gas Reservoirs and Reserves Management DepartmentSOCARBakuAzerbaijan
  3. 3.Oil and Gas Research and Design InstituteSOCARBakuAzerbaijan

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