Open AccessInterpretation of One Dimensional Schlumberger Curve Resistivity Data using “Least Square” Inversion
Author(s) -
Harmita Lestari,
Muhammad Nasri,
Andi Zulkifli,
Sabrianto Aswad,
. Syamsuddin
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/279/1/012042
Subject(s) - electrical resistivity and conductivity , inversion (geology) , geology , mean squared error , synthetic data , geophysics , mineralogy , mathematics , statistics , physics , seismology , quantum mechanics , tectonics
The geoelectric method using Schlumberger configuration is one of the most widely used geophysical methods. In this study, a one-dimensional Schlumberger configuration will be applied to modeling the subsurface structure using two types of data, namely synthetic data and acquisition data in the field. The purpose of this study is to calculate resistivity (ρ i ) and determine the thickness (d i ) of the subsurface layer. In order for the model to be obtained to have a high level of accuracy, inversion least square is used. The value of resistivity and layer thickness obtained are very close to the synthetic model used. Comparison of calculation pseudo resistivity curves and observation pseudo resistivity has a small RMS error value which supports the accuracy of the study. This is obtained by giving initial guesses to the resistivity value of the acquisition data. The final results obtained from this study are in the form of five layers with different resistivity values and with a relatively small RMS error value of 1.15.