How to Cite: Akinluyi, F. O. (2022). Enhancing geostatistical prediction of total hydrocarbon content (THC) using Bayesian maximum entropy (BME) in a region of Niger Delta, Nigeria. International Journal of Health Sciences, 6(S6), 826–838. https://doi.org/10.53730/ijhs.v6nS6.9679 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 18 Feb 2022, Manuscript revised: 27 April 2022, Accepted for publication: 9 June 2022 826 Enhancing geostatistical prediction of total hydrocarbon content (THC) using Bayesian maximum entropy (BME) in a region of Niger Delta, Nigeria F. O. Akinluyi Department of Remote Sensing and GIS, the Federal University of Technology, Akure, Nigeria Email: foakinluyi@futa.edu.ng Orchid: 0000-0002-1390-1831 Abstract---In this study, Bayesian maximum entropy (BME) was implemented to take advantage of the limited data available for reliable prediction of total hydrocarbon content (THC) in the soil because it allows assimilate of secondary and its uncertainty data. Thirteen (13) physico-chemical soil variables were obtained. Upon the application of multiple regression analysis to the soil variables, electrical conductivity, EC was found as a covariate to the eleven (11) 〖THC〗_hard data. Twenty-eight (28) 〖THC〗_(soft ) data were then generated by regression model between 〖THC〗_hard and EC and their 28 uncertainty data were also derived using probability density function. Therefore, 11 〖THC〗_hard, 28 〖THC〗_(soft )and 28 error data in the computation of THC soft were integrated at BME technique to produce BME prediction and BME standard deviation maps of THC. The BME predicted THC value in the area ranges from 0 – 16 mg/kg. The BME prediction map provides the mean variable of the estimation posterior pdf of THC. It shows the spatial variability of THC as the concentration decreases from the highest concentrated zone of THC. This is a point source spillage and may be due to vandalization of oil- well heads and flowlines, operational failure, surface or underground pipeline leakages due corrosion effect or obsolete equipment just to mention a few. The THC guide value for normal soil is 100 mg/kg. The BME standard deviation provides measure of the accuracy assessment in the BME prediction of THC. The BME standard deviation map varies between 1 and 8 mg/kg. The BME standard deviation is highest at the region where BME prediction is highest. The high BME estimation standard deviation is attributed to the weak correlation between THC and EC used to generate the 〖THC〗_soft and inclusion of its measurement error in the BME prediction of THC. This