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Non-Gaussianity of petrophysical parameters using q entropy and a multifractal random walk

Author

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  • Koohi Lai, Z.
  • Vasheghani Farahani, S.
  • Jafari, G.R.

Abstract

Geological systems such as petroleum reservoirs can be investigated using Tsallis entropy and multiplicative hierarchical cascade models. The occurrence of non-Gaussianity is a sign of uncertainty and a phase transition, which could indicate the existence of a petroleum reservoir. Two important parameters that describe a system at any scale are determined: the degree of non-Gaussianity, q, for the entropy and the intermittency, λ2, which explains critical behavior in a system. Some petrophysical indicators can be used to characterize a reservoir, but there is a lack of methods for measuring scaling information. This study compares non-Gaussianity for three selected indicators at various scales: gamma radiation (GR), sonic transient time (DT) and neutron porosity (NPHI). The results show that GR has a fat-tailed probability distribution function (PDF) at all scales, which is a sign of phase transition in the system and indicates high q and λ2. This provides valuable information about GR. NPHI shows scale dependence and the PDF converges to a Gaussian distribution at large scales. This is indicative of separated and uncorrelated porosity at large scales. For the DT series, small λ2 and q at all scales are a hallmark of local DT correlations.

Suggested Citation

  • Koohi Lai, Z. & Vasheghani Farahani, S. & Jafari, G.R., 2012. "Non-Gaussianity of petrophysical parameters using q entropy and a multifractal random walk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5076-5081.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:21:p:5076-5081
    DOI: 10.1016/j.physa.2012.03.040
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    Cited by:

    1. Namaki, A. & Koohi Lai, Z. & Jafari, G.R. & Raei, R. & Tehrani, R., 2013. "Comparing emerging and mature markets during times of crises: A non-extensive statistical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3039-3044.

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