Application of Schlumberger Method for Characterization of Soil

Abstract

A nowadays, geo-environmental study such as soil contamination analysis, electrical properties of soil, and geo-technical centrifuge modeling needs a characterization of soil. This will help in estimation of soil properties, mathematical and physical modeling, field investigation and some other detailed phenomenon. In this study, we used a Schlumberger method for characterization of soil in the water conduit of village Visarpani, near Mainpat block of Surguja district of Chhattisgarh, India. In this conduit, water stream climbs itself towards uphill with the slope of 450 and travels distance about 150 meters in East to West direction and after turns towards downhill in North to South direction. Experimentally calculated Schlumberger resistance used in the theoretical calculations for finding resistivity and conductivity of soil and then predicted the soil characteristics at different intervals. This study showed that towards uphill resistivity is decreasing and conductivity is increasing regarding distance intervals.

Electronic Device and Data Processing Method for Soil Resistivity Analysis

“…See Figure 8. To test our data analysis method, we performed the statistical parameter estimation presented in (6) on the data collected from the experiment. This was done by setting n = 100, corresponding to approximately 0.66 s of data acquisition from our experiment; a moving window of size n was applied, and then, Equation ( 6) was used for each window up to the end of the data file.…”

“…The development of electronic devices to read soil resistivity has been one of the most relevant topics in geophysics to investigate soil composition [1][2][3][4][5][6][7][8][9][10]. Hence, soil resistivity is a relevant indicator to indirectly determine soil properties such as salinity, moisture, and organic matter content, among others [5,7].…”

“…Hence, soil resistivity is a relevant indicator to indirectly determine soil properties such as salinity, moisture, and organic matter content, among others [5,7]. Therefore, the measurement of soil resistivity, as well as a well-tuned data analysis method are two significant issues [1][2][3][4][5][6][7][8][11][12][13][14]. From the instrumentation point of view, there are two approaches to obtain soil data: (1) contact and (2) non-contact methods.…”

“…Figure 9. Case 1: Data analysis evolution of the likelihood estimation of the decision parameters α and β(6). At approximately 12 s, both parameters detected different soil resistivities.…”