@inproceedings{scholars7529,
            note = {cited By 1; Conference of 3rd International Conference on Civil, offshore and Environmental Engineering, ICCOEE 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:180169},
             doi = {10.1201/b21942-67},
            year = {2016},
           title = {The behaviour of electrical resistivity correlated with converted SPT-N results from seismic survey},
       publisher = {CRC Press/Balkema},
         journal = {Engineering Challenges for Sustainable Future - Proceedings of the 3rd International Conference on Civil, offshore and Environmental Engineering, ICCOEE 2016},
           pages = {335--338},
        abstract = {Conventional soil investigation method to derive strength parameters incorporates borehole sampling which is reliable but is invasive, time consuming, and costly. Alternatively, in this study, seismic surface wave method and electrical resistivity survey were utilized to estimate the soil strength parameters. Some drilling work along the seismic and electrical resistivity lines were carried out where samples were then brought to the laboratory and tested for the related index properties. All the data were then analyzed and correlated. The correlation study shows the relationship between inverted SPT-N (using OYO SeisImager and Pickwin software) with field electrical resistivity produced a regression value, R2of 0.4696. The comparison of both field and converted SPT-N yield a result of R2value of approximately 0.84. Finally, the relationship of moisture content (MC) with field resistivity and plasticity index with field resistivity resulted in regression values of R2=0.433 and R2=0.3156 respectively. {\^A}{\copyright} 2016 Taylor \& Francis Group, London.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009830331&doi=10.1201\%2fb21942-67&partnerID=40&md5=fae3f1e6ee91a1cdd8dbbe77e019e78d},
        keywords = {Environmental engineering; Offshore oil well production; Seismology; Surface waves; Surveys, Correlation studies; Index properties; Plasticity indices; Seismic surface wave; Seismic surveys; Soil investigation; Soil strength; Strength parameters, Electric conductivity},
            isbn = {9781138029781},
          author = {Syed Osman, S. B. and Jusoh, H. and Chai, K.}
}