TITLE:
Evolutionary Programming for Systematic Evaluation of Aquifers: A Case Study from Dholera, Cambay Basin, Gujarat, India
AUTHORS:
Kriti Yadav, Anirbid Sircar
KEYWORDS:
Evolutionary Programing, Seismic, Dholera, Resistivity, Magnetotelluric
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.7 No.4,
April
23,
2019
ABSTRACT: Joint inversion of different potentials improves subsurface model resolution.
In this paper seismic refraction and magnetotelluric data are used to understand
near subsurface features of Dholera, Gujarat, India. An extensive seismic
and magnetotelluric survey was carried out in Dholera in order to delineate
subsurface presence of aquifers. Ray Inversion for Near Surface Estimation
(RINSE) is used for inversion of Dholera seismic data. The inversion
output of seismic data is used as seed points for resistivity inversion of anomalies.
Inversion of resistivity data is done using evolutionary programing
method which is also a type of genetic algorithm. Here the optimization is
done using four major steps, of evolutionary programing namely population
generation, fitness function, crossover and mutation. This paper also compares
the similarities between the natural and geophysical optimization. A
Low Velocity Layer is identified up to a depth of 11 m from seismic refraction
method. Three layers are identified after the interpretation of seismic and resistivity
data. The average thicknesses of Layers one and two are calculated as
3.558 and 6.533 respectively.