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Correlation and complexity analysis of well logs via Lyapunov, Hurst, Lempel–Ziv and neural network algorithms

Author

Listed:
  • Ferreira, R.B.
  • Vieira, V.M.
  • Gleria, Iram
  • Lyra, M.L.

Abstract

Well logs produce a wealth of data that can be used to evaluate the production capacity of oil and gas fields. These data are usually concerned with depth series of petrophysical quantities such as the sonic transient time, gamma emission, deep induction resistivity, neutron porosity and bulk density. Here, we perform a correlation and complexity analysis of well log data from the Namorado’s school field using Lyapunov, Hurst, Lempel–Ziv and neural network algorithms. After identifying the most correlated and complex series, we demonstrate that well log data estimates can be confidently performed by neural network algorithms either to complete missing data or to infer complete well logs of a specific quantity.

Suggested Citation

  • Ferreira, R.B. & Vieira, V.M. & Gleria, Iram & Lyra, M.L., 2009. "Correlation and complexity analysis of well logs via Lyapunov, Hurst, Lempel–Ziv and neural network algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(5), pages 747-754.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:5:p:747-754
    DOI: 10.1016/j.physa.2008.11.002
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    Citations

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    Cited by:

    1. Dashtian, Hassan & Jafari, G. Reza & Sahimi, Muhammad & Masihi, Mohsen, 2011. "Scaling, multifractality, and long-range correlations in well log data of large-scale porous media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2096-2111.
    2. Wei, Nan & Yin, Lihua & Li, Chao & Liu, Jinyuan & Li, Changjun & Huang, Yuanyuan & Zeng, Fanhua, 2022. "Data complexity of daily natural gas consumption: Measurement and impact on forecasting performance," Energy, Elsevier, vol. 238(PC).
    3. Koohi Lai, Z. & Jafari, G.R., 2013. "Non-Gaussianity effects in petrophysical quantities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5132-5137.
    4. Marinho, E.B.S. & Sousa, A.M.Y.R. & Andrade, R.F.S., 2013. "Using Detrended Cross-Correlation Analysis in geophysical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2195-2201.

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