Non-parametric Criteria of Chaotic Data Analysis in Oil Production
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.
KeywordsChaotic fluctuations Distribution Non-parametric criteria
- 3.Mirzajanzadeh, A., Aliev, N., Yusifzade, K.: Fragments on Development of Offshore Oil and Gas Fields. Elm, Baku (1997)Google Scholar
- 4.Mirzajanzadeh, A., Hasanov, M., Bahtizin, R.: Modeling of Oil and Gas Production Processes. ICR, Moscow (2004)Google Scholar
- 6.Mirzajanzadeh, A., Sultanov, Ch.: Reservoir Oil Recovery Process Diacoptics. APC, Baku (1995)Google Scholar
- 7.Jensen, J., Lake, L., Corbett, P., Goggin, D.: Statistics for Petroleum Engineers and Geoscientists. Elsevier, Amsterdam (2000)Google Scholar
- 8.Mandelbrot, B.: Fractals, hasard et finance, 246 p. Flammarion, Paris (1997)Google Scholar
- 10.Aguilera, R.F., Ramirez, J.F., Ortega, C., Aguilera, R.: A variable shape distribution model for characterization of pore throat radii, drill cuttings, fracture apertures and petrophysical properties in tight, shale and conventional reservoirs. In: SPE Asia Pacific Oil and Gas Conference 2012, SPE 158808 (2012)Google Scholar
- 11.Klikushin, Y.: Method of fractal classification of compound signals. Radioelectroniks 4, 1–11 (2000)Google Scholar
- 12.Dake, L.: The Practice of Reservoir Engineering. Elsevier, New York (2001)Google Scholar