Geoelectrical Investigation of Soils as Foundation Materials in Umudike Area, Southeast Nigeria
Table Of Contents
Title page — – – – – – – – – – – i
Declaration — – – – – – – – – – -ii
Approval page — – – – – – – – – – -iii
Dedication — – – – – – – – – – -iv
Acknowledgement — – – – – – – – – -v
Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -v
Thesis Abstract
Geoelectrical investigation of soils in Umudike area of Abia State was undertaken in order to determine the competence of the soils as foundation materials. A total of 18 Vertical Electrical Sounding (VES), using Schlumberger configuration was carried out. The results revealed three to six distinct geoelectric sequences with resistivities ranging from about 8 Ωm to about 38,000 Ωm and a variation in topsoil thicknesses with the least as 0.2 m at vicinity of VES Station 2 Ahiaeke and the highest as 5.0 m at VES Station 14 MOUAU. The top soils are composed of sands, silts, sandy clays, clays and laterites. The study also revealed the cause of frequent cracking and collapse of a portion of the Umuahia-Ikot-Ekpene road. Based on the results of the survey, the most competent soils within which large civil engineering structures will be founded within the study area are encountered at VES 8,9 (inside ABSUPAC), 6 (opposite GCU), 14 and 15 ( inside MOUAU).
Thesis Overview
Blazingprojects Mobile App
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
Related Research
Seismic Imaging of Subsurface Structures for Hydrocarbon Exploration using Advanced ...
The project titled "Seismic Imaging of Subsurface Structures for Hydrocarbon Exploration using Advanced Processing Techniques" aims to investigate and...
Application of Machine Learning Algorithms for Seismic Data Analysis in Geophysics...
The project titled "Application of Machine Learning Algorithms for Seismic Data Analysis in Geophysics" focuses on leveraging advanced machine learnin...
Application of Machine Learning Algorithms in Seismic Data Analysis for Reservoir Ch...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Reservoir Characterization" aims to explore the integratio...
Seismic Imaging and Characterization of Subsurface Fractures in Unconventional Reser...
The research project titled "Seismic Imaging and Characterization of Subsurface Fractures in Unconventional Reservoirs" aims to address the significan...
Analysis of Ground Penetrating Radar (GPR) data for mapping subsurface features....
The project titled "Analysis of Ground Penetrating Radar (GPR) data for mapping subsurface features" aims to explore the potential of Ground Penetrati...
Analysis of seismic data for reservoir characterization in an oil field....
The project titled "Analysis of seismic data for reservoir characterization in an oil field" aims to investigate and analyze the seismic data collecte...
Application of Machine Learning Algorithms in Seismic Data Analysis for Subsurface C...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Subsurface Characterization" aims to explore the integrati...
Analysis of Seismic Data for Subsurface Characterization in a Tectonically Active Re...
The project titled "Analysis of Seismic Data for Subsurface Characterization in a Tectonically Active Region" aims to investigate the use of seismic d...
Application of Seismic Tomography for Subsurface Imaging and Characterization...
The project titled "Application of Seismic Tomography for Subsurface Imaging and Characterization" focuses on the utilization of seismic tomography as...
