@article{(Open Science Index):https://publications.waset.org/pdf/10001467,
	  title     = {Inversion of Electrical Resistivity Data: A Review},
	  author    = {Shrey Sharma and  Gunjan Kumar Verma},
	  country	= {},
	  institution	= {},
	  abstract     = {High density electrical prospecting has been widely
used in groundwater investigation, civil engineering and
environmental survey. For efficient inversion, the forward modeling
routine, sensitivity calculation, and inversion algorithm must be
efficient. This paper attempts to provide a brief summary of the past
and ongoing developments of the method. It includes reviews of the
procedures used for data acquisition, processing and inversion of
electrical resistivity data based on compilation of academic literature.
In recent times there had been a significant evolution in field survey
designs and data inversion techniques for the resistivity method. In
general 2-D inversion for resistivity data is carried out using the
linearized least-square method with the local optimization technique
.Multi-electrode and multi-channel systems have made it possible to
conduct large 2-D, 3-D and even 4-D surveys efficiently to resolve
complex geological structures that were not possible with traditional
1-D surveys. 3-D surveys play an increasingly important role in very
complex areas where 2-D models suffer from artifacts due to off-line
structures. Continued developments in computation technology, as
well as fast data inversion techniques and software, have made it
possible to use optimization techniques to obtain model parameters to
a higher accuracy. A brief discussion on the limitations of the
electrical resistivity method has also been presented.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {9},
	  number    = {4},
	  year      = {2015},
	  pages     = {400 - 406},
	  ee        = {https://publications.waset.org/pdf/10001467},
	  url   	= {https://publications.waset.org/vol/100},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 100, 2015},
	}