“Statistical Analysis of Geothermal and Petrophysical Properties of Tebidaba Field IN Parts of Niger Deldta”
Abstract
The geothermal and petrophysical properties of the field were computed from continuous temperature, gamma-ray, density, neutron and resistivity logs. The statistical analysis and correlation was done using SPSS software version 25 (Pearson Correlation Coefficient) alongside descriptive statistics. The research is aimed at evaluating the subsurface conditions, interpret the implications for energy resource development, and examine the interdependencies between rock properties and thermal behaviors. The statistical results of the reservoir temperature showed that 2the minimum, maximum, median, mean and standard deviation are: 82.46, 83.59, 83.19, 83.15, and 0,38. The geothermal gradient results shows the minimum, maximum, median, mean and standard deviation as 12.62, 17.57, 17.57, 16.73 and 2.02. The thermal conductivity minimum, maximum, median, mean and standard deviation as 2.06, 2.58, 2.51, 2.43 and 0.20. For the heat flow, it shows that the minimum, maximum, median, mean and standard deviation are: 32.56, 45.38, 42.59, 40.54 and 5.11. The porosity shows that, the minimum, maximum, median, mean and standard deviation are 0.29, 0.39, 0.33, 0.34 and 0.04. The net to gross shows minimum, maximum, median, mean and standard deviation are 18.24, 45.06, 41.70, 37.74 and 10.28. The density shows minimum, maximum, median, mean and standard deviation are 2.24, 2.40, 2.34, 2.33, and 0.06. Water saturation shows minimum, maximum, median, mean and standard deviation are 0.07, 0.17, 0.14, 0.12 and 0.04. Shale volume shows minimum, maximum, median, mean and standard deviation are 0.50, 0.63, 0.54, 0.56 and 0.05. The Sand volume shows minimum, maximum, median, mean and standard deviation are 0.37, 0.50, 0.46, 0.44, and 0.05. The evaluation analysis shows that, the field is conducive for hydrocarbon maturation and of good reservoir quality. This integrated approach has provided valuable insights into the reservoir characteristics, which can enhance future exploration and development strategies in the study area
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Published in UNIHEZ JOURNAL OF HEALTH & ENVIRONMENTAL SCIENCES, ENTREPRENEURSHIP, ENGINEERING & AGRICULTURE
ISSN: 7704-7896
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