Modeling of Electromagnetic Waves using Statistical and Numerical Techniques

This paper presents a comparative study on the modeling of
Electromagnetic (EM) waves using statistical and numerical techniques using
MATLAB software. Authors focused only on amplitude modeling of EM
waves at 0.25Hz frequency to seabed logging. Seabed logging is the process of
detecting oil wells underneath the seabed by using the EM technology. The
models using statistical and numerical techniques have been developed and sum
square errors have been calculated and comparative studies have been made to
find the best technique. First order and second order regressions were used for
statistical models and polynomial curve fitting and spline interpolation were
used for numerical technique. Results from these techniques were compared
and we have found that spline interpolation gave the most fitted model to the
EM wave amplitude.