Abstract

The subsurface temperature distribution of part of Chad sedimentary basin has been determined by applying analytical solution for multi-layer-model in solving the 1-D steady state conductive heat flow equation. Four-layer model was adopted because the Chad basin is made up of four lithostratigraphies. In this model, equilibrium geotherm of the four layers was computed by considering each layer separately while the temperature and heat flow are matched across the boundaries. The solution was used for generating temperature for each of the formation. Computed minimum, maximum and average thermal conductivity and surface heat flow of the basin were used as the input parameters for the analytical solution. The estimated temperatures increase with depth within the sedimentary column. The estimated temperatures were compared with measured bottom hole temperatures from four deep wells in the basin and the result shows very good match for the following different scenarios; (1) when maximum thermal conductivities of each formations are combined with the maximum heat flow of 100 mWm-2, (2) when the average thermal conductivities of each formation and the average heat flow of 85 mWm-2 are used as input for the model and (3) when the minimum thermal conductivities of each formation and the minimum heat flow of 65 mWm-2 are used as input for the model. The thermal structure of the sediment depends on its thermal conductivity, radiogenic heat sources, basal heat flow and surface temperature. The results of this research work have been used to effectively characterize the thermal structure of the study area.

Highlights

  • The measurement of subsurface heat flow has been in active research

  • The spatial variation of computed terrestrial heat flow is an indication of the variation in subsurface temperature distribution and the pattern of the heat flow is directly controlled by the variation of rock thermal conductivity values as well as depths to heat sources

  • The computed values of surface heat flow, radiogenic heat production, thermal conductivities, surface temperature and average thickness of the formations were used for estimating the subsurface temperature distribution in the study

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Summary

Introduction

The spatial variation of computed terrestrial heat flow is an indication of the variation in subsurface temperature distribution and the pattern of the heat flow is directly controlled by the variation of rock thermal conductivity values as well as depths to heat sources. According to Beardsmore and Cull (2001) heat can be transferred by conduction, convection and radiation in sediments. Thermal conductivity is the primary lithological factor controlling geothermal heat flow. Heat flow can occurs through fluid flow of pore water, liquid petroleum and gas. These techniques are assumed to be negligible in this study. Heat conduction in sediment is normally based on estimation of heat influx into the sediments and subsequent determination of temperature in the sediments

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