Mapping of Subsurface Geological Features for Predicting Cavities Based on True Resistivity using ARIMA and ALM Models
A. Arisona *
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
L. D. Safiuddin
Department of Mining Engineering, Haluoleo University, Kendari, Indonesia.
L. A. Hamimu
Department of Geophysical Engineering, Haluoleo University, Kendari, Indonesia.
Ali Okto
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
. Masri
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
L. D. Ngkoimani
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
. Hasria
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
. Muliddin
Department of Geological Engineering, Faculty of Earth Science and Technology, Haluoleo University, Kendari, Indonesia.
K. S. Ishola
Department of Geosciences, University of Lagos, Akoka, Lagos, Nigeria.
Erzam S. Hasan
Department of Geophysical Engineering, Haluoleo University, Kendari, Indonesia.
*Author to whom correspondence should be addressed.
Abstract
This study is an attempt to examine the emprical analysis of accuracy assessment of the true resistivity using the ARIMA and ALM models based on the RMSE and MAPE criterias. These involves F-calculated (F-cal), determinant coefficient (R2), and significance-α (Sig.α). Three parameters were used to show positive significance and best fit the field measurement data. However, the emphasis is on the applying ERI techniques for mapping of subsurface geological features to identify the presence of cavities in the cover layers. The prediction model shows that the smaller values of RMSE and MAPE are considered the best model. In addition, the ability of the ARIMA and ALM models to predict field measurement data (true resistivity) was tested and these result could be provide backups for future work with relevant data.
Keywords: Genital epithelium, ARIMA, testis, ALM, seminal vesicle, RMSE, vas deferens,, MAPE, Haemonchus contortus, true resistivity, histomophology., subsurface geological, ERI