Fractal dimension of well logging curves associated with the texture of volcanic rocks
- DOI
- 10.2991/meic-14.2014.62How to use a DOI?
- Keywords
- Well logging curves; fractal dimension; box-counting; window technique; volcanic rocks
- Abstract
Fractal dimension is usually an effective approach that used to describe the nonregular geometry objects in the nature and nonlinear systems. We investigate the fractal characteristics of well logging curves acquired from Liaohe oil field, China. To calculate the fractal dimension of well logging curves, box-counting method was proposed, we study the method systematically, and calculate the fractal dimension of logging curves using neutron logging(CNL), density logging(DEN), acoustic logging(AC) resistivity logging(RLLD) and gamma-ray logging(GR) from 108 wells, 1100m sections with a total of 8800 logging data. Then we found the corresponding relation between fractal dimension of well logging curves and the texture of volcanic rocks. It was observed that the fractal dimension of CNL DEN and AC have same value, and the fractal dimension of volcanic lava is lower than the fractal dimension of pyroclastic rock. To validate the accuracy of conclusion, we take X-10 well, 2300-2580m sections for example, describe the relationship between the fractal dimension and the texture of volcanic rock in certain depth. Compare the predicting result of texture of volcanic rocks with core data, the accuracy reaches 90%, our studies demonstrated that the fractal dimension of well logging curves can be applied to predict the texture of volcanic rocks.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dan Mou AU - Zhu-wen Wang PY - 2014/11 DA - 2014/11 TI - Fractal dimension of well logging curves associated with the texture of volcanic rocks BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 278 EP - 281 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.62 DO - 10.2991/meic-14.2014.62 ID - Mou2014/11 ER -