Journal of Geoscience and Environment Protection, 2019, 7, 139-155 http://www.scirp.org/journal/gep ISSN Online: 2327-4344 ISSN Print: 2327-4336 DOI: 10.4236/gep.2019.74009 Apr. 23, 2019 139 Journal of Geoscience and Environment Protection Evolutionary Programming for Systematic Evaluation of Aquifers: A Case Study from Dholera, Cambay Basin, Gujarat, India Kriti Yadav * , Anirbid Sircar School of Petroleum Technology, Pandit Deendayal Petroleum University, Gandhinagar, India Abstract Joint inversion of different potentials improves subsurface model resolution. In this paper seismic refraction and magnetotelluric data are used to under- stand near subsurface features of Dholera, Gujarat, India. An extensive seis- mic and magnetotelluric survey was carried out in Dholera in order to deli- neate subsurface presence of aquifers. Ray Inversion for Near Surface Estima- tion (RINSE) is used for inversion of Dholera seismic data. The inversion output of seismic data is used as seed points for resistivity inversion of ano- malies. 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 com- pares 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 re- sistivity data. The average thicknesses of Layers one and two are calculated as 3.558 and 6.533 respectively. Keywords Evolutionary Programing, Seismic, Dholera, Resistivity, Magnetotelluric 1. Introduction Model resolution of subsurface features can be improved by joint inversion of different geophysical potential data (Ammon et al., 1990). The study of joint in- version can be categorized into two groups; first is joint inversion of datasets which are sensitive to same physical parameters (Julia et al., 2000) and second How to cite this paper: Yadav, K., & Sir- car, A. (2019). Evolutionary Programming for Systematic Evaluation of Aquifers: A Case Study from Dholera, Cambay Basin, Gujarat, India. Journal of Geoscience and Environment Protection, 7, 139-155. https://doi.org/10.4236/gep.2019.74009 Received: March 6, 2019 Accepted: April 20, 2019 Published: April 23, 2019 Copyright © 2019 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access