Preprints
https://doi.org/10.5194/npg-2014-85
https://doi.org/10.5194/npg-2014-85

  12 Jul 2016

12 Jul 2016

Review status: this preprint was under review for the journal NPG. A revision for further review has not been submitted.

Comparison of box counting and correlation dimension methods in well logging data analysis associate with the texture of volcanic rocks

D. Mou1 and Z. W. Wang2 D. Mou and Z. W. Wang
  • 1School of Mathematics and Statistics, Beihua University, Jilin, China
  • 2College of Geo-exploration Science and Technology, Jilin University, Changchun, China

Abstract. We have developed a fractal analysis method to estimate the dimension of well logging curves in Liaohe oil field, China. The box counting and correlation dimension are methods that can be applied to predict the texture of volcanic rocks with calculation the fractal dimension of well logging curves. The well logging curves are composed of gamma ray (GR), compensated neutron logs (CNL), acoustic (AC), density (DEN), Resistivity lateral log deep (RLLD), every curve contains a total of 6000 logging data. The dimension of well logging curves are calculated using box counting and correlation algorithms respectively. It is shown that two types of dimension of CNL, DEN and AC have the same average value. The box counting dimension of volcanic lava is lower than the pyroclastic rock obviously. The majority of correlation dimension of volcanic lava is lower than the pyroclastic rock, but a small amount of correlation dimension of volcanic lava is equal to the pyroclastic rock. It is demonstrated that the box counting dimension is more suitable for predicting the texture of volcanic rocks. Applications to logging data, A well show the relationship between the fractal dimension and the texture of volcanic rock in certain depth.

D. Mou and Z. W. Wang

 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

D. Mou and Z. W. Wang

D. Mou and Z. W. Wang

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