Title page — – – – – – – – – – – i
Declaration — – – – – – – – – – -ii
Approval page — – – – – – – – – – -iii
Dedication — – – – – – – – – – -iv
Acknowledgement — – – – – – – – – -v
Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -v
This study is aimed at using the characteristics of polluted soil to delineate different soil
layers and deduce ways of providing remediation to the problems generated as a
result of soil pollution using Electrical Resistivity Method.
An inversion of the measured apparent resistivity values using a computer program was carried
out to determine the true subsurface resistivity. This method was used to
estimate the lateral and vertical extend to which a particular soil has been
contaminated by oil or hydrocarbon. In the analysis of the horizontal extent of
contamination, the horizontal resistivity profiling (HRP) was applied while in
the vertical extent, the vertical electrical sounding (VES) was applied. Sandy
soil polluted by crude oil indicated increases in resistivity with increase in
percentages of pollution resulting probably from their individual density which
makes it difficult to penetrate through the sand molecules despite the soil’s
porosity. Silty soil showed increase in resistivity with increasing percentage
of pollution for all the pollutants and polluted clay soil indicated total
increment in resistivity with increasing percentage pollution for all the
pollutants, probably because of its high permeability and low porosity from the
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Seismic Imaging of Subsurface Structures for Hydrocarbon Exploration using Advanced Processing Techniques" aims to investigate and...
The project titled "Application of Machine Learning Algorithms for Seismic Data Analysis in Geophysics" focuses on leveraging advanced machine learnin...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Reservoir Characterization" aims to explore the integratio...
The research project titled "Seismic Imaging and Characterization of Subsurface Fractures in Unconventional Reservoirs" aims to address the significan...
The project titled "Analysis of Ground Penetrating Radar (GPR) data for mapping subsurface features" aims to explore the potential of Ground Penetrati...
The project titled "Analysis of seismic data for reservoir characterization in an oil field" aims to investigate and analyze the seismic data collecte...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Subsurface Characterization" aims to explore the integrati...
The project titled "Analysis of Seismic Data for Subsurface Characterization in a Tectonically Active Region" aims to investigate the use of seismic d...
The project titled "Application of Seismic Tomography for Subsurface Imaging and Characterization" focuses on the utilization of seismic tomography as...