Simple Python-Based Application for Transforming Apparent Resistivity Data from Schlumberger Configuration to Wenner Configuration Using the Linear Filter Method
DOI:
https://doi.org/10.31957/jfp.v3i2.203Keywords:
Vertical Electrical Sounding (VES), Wenner, Schlumberger, PhytonAbstract
Research has been conducted regarding the design of a simple Python-based application to transform apparent resistivity values from the Schlumberger configuration into apparent resistivity values from the Wenner configuration using the linear filter method. The application developed was then validated using field data measurements from two different locations, namely Nendali Village in the East Sentani district and Buper Waena in the Heram Jayapura district. At each measurement point, two Vertical Electrical Sounding (VES) measurements were performed using Schlumberger and Wenner configurations. The apparent resistivity values from the Schlumberger configuration were transformed using the application created, and the results were compared with observational data from the Wenner configuration. Field data were taken for as many as six samples per logarithmic cycle, with the Schlumberger AB/2 configuration electrode spacing equal to the Wenner configuration electrode spacing. The maximum stretch lengths in Nendali and Buper villages were 26 m and 40 m, respectively. The research results show a match between the apparent resistivity values of the Wenner configuration obtained from field observations and the transformation results. This suitability was demonstrated qualitatively through the similarity of the apparent resistivity curve trend between the transformed and field observation data. Quantitatively, this suitability is shown by the slope value of the comparison curve of field observation data and transformed data, which in Nendali and Buper Villages is 0.75 and 0.98, respectively. The conclusion of this study is that a simple application that has been designed and created can be used to transform apparent resistivity values from the Schlumberger configuration to the Wenner configuration. A comparison between the transformed data and field observation data shows that suitability is highly dependent on the quality of the field data.
References
Telford, W. M., Geldart, L. P., & Sheriff, R. E. (1990). Applied Geophysics. Cambridge University Press.
Loke, M. H. (2018). Electrical imaging surveys for environmental and engineering studies: A practical guide to 2-D and 3-D surveys. Online publication.
Reynolds, J. M. (2011). An introduction to applied and environmental geophysics. John Wiley & Sons.
Parasnis, D. S. (1997). Principles of Applied Geophysics. Chapman and Hall.
Keller, G. V., & Frischknecht, F. C. (1966). Electrical Methods in Geophysical Prospecting. Pergamon Press.
Smith, J., & Jones, A. (2022). Enhancing accuracy in horizontal structure detection using Wenner configuration. Journal of Environmental Geophysics, 45(3), 123-135.
Ghosh, D. P. (1971a). Inverse Filter Coefficients for the Computation of Apparent Resistivity Standard Curves for a Horizontally Stratified Earth. Geophysical Prospecting, 19(4), 769–775. https://doi.org/10.1111/j.1365-2478.1971.tb00915.x
Das, U. C., & Kumar, R. (1979). Transformation of Wenner to Schlumberger apparent resistivity over layered earth by the application of a digital linear filter. Can. Soc. Expl. Geophys, 15, 50–53.
Zhang, Y., Li, H., & Wang, X. (2023). Improved algorithms for resistivity data transformation. Geophysical Research Letters, 50(7), 2023-2045.
El-Difrawy, M. A., El-Behiry, M. G., Refai, E. M., & Morsey, E. A. (2006). Digital Linear Filtering Method to Transform Schlumberger to Wenner Electric Resistivity Data. Earth Sciences, 17(1).
Bhattacharya, B. B., Shalivahan, & Sen, M. K. (2003). Use of VFSA for resolution, sensitivity and uncertainty analysis in 1D DC resistivity and IP inversion. Geophysical Prospecting, 51(5), 393–408. https://doi.org/10.1046/j.1365-2478.2003.00379.x
Sen, M. K., Bhattacharya, B. B., & Stoffa, P. L. (1993). Nonlinear inversion of resistivity sounding data. Geophysics, 58(4), 496–507. https://doi.org/10.1190/1.1443432
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
