Articles | Volume 18, issue 2
https://doi.org/10.5194/npg-18-179-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-18-179-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2011
Research article |
| 09 Mar 2011
Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach
S. Maiti
Indian Institute of Geomagnetism (DST), Navi Mumbai-410218, India
G. Gupta
Indian Institute of Geomagnetism (DST), Navi Mumbai-410218, India
V. C. Erram
Indian Institute of Geomagnetism (DST), Navi Mumbai-410218, India
R. K. Tiwari
National Geophysical Research Institute (CSIR), Hyderabad-500007, India
Viewed
Total article views: 6,481 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,108 | 4,062 | 311 | 6,481 | 294 | 338 |
- HTML: 2,108
- PDF: 4,062
- XML: 311
- Total: 6,481
- BibTeX: 294
- EndNote: 338
Cited
34 citations as recorded by crossref.
- Novel Efficient Method for Automatic Inversion of Vertical Electrical Sounding Data: Case Study from Sindhudurg District, Maharashtra, India P. Gupta & S. Maiti https://doi.org/10.1007/s00024-022-03213-7
- Estimation of Subsurface Temperatures in the Tattapani Geothermal Field, Central India, from Limited Volume of Magnetotelluric Data and Borehole Thermograms Using a Constructive Back-Propagation Neural Network A. Akpan et al. https://doi.org/10.1175/2013EI000539.1
- A systematic approach to tuning a neural network model and its application in estimating layer parameters from VES Schlumberger data A. Chaudhuri et al. https://doi.org/10.1007/s12040-024-02349-5
- ANN based inversion of DC resistivity data for groundwater exploration in hard rock terrain of western Maharashtra (India) S. Maiti et al. https://doi.org/10.1016/j.jhydrol.2012.07.020
- A Brief Overview of Groundwater Studies at CSIR-NGRI During Six Decades V. Tiwari et al. https://doi.org/10.1007/s12594-021-1858-0
- Groundwater fluoride prediction modeling using physicochemical parameters in Punjab, India: a machine-learning approach A. Kerketta et al. https://doi.org/10.3389/fsoil.2024.1407502
- Simulation of Fluid Flow in Fractured Rocks Based on the Discrete Fracture Network Model Optimized by Measured Information L. Guo et al. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001270
- Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion L. Dong et al. https://doi.org/10.1016/j.knosys.2022.108164
- Reducing equivalence effect in vertical electrical sounding interpretation using a wavelet-based convolutional neural network P. Pourmajidi & H. Haghshenas Lari https://doi.org/10.1007/s11600-025-01586-6
- Nonlinear inversion of resistivity sounding data for 1-D earth models using the Neighbourhood Algorithm A. Ojo et al. https://doi.org/10.1016/j.jafrearsci.2017.09.003
- Sediment classification using neural networks: An example from the site-U1344A of IODP Expedition 323 in the Bering Sea M. Ojha & S. Maiti https://doi.org/10.1016/j.dsr2.2013.03.024
- Development of a Numerical Tool for Design of the Bottom Hole Assembly (BHA) Using Artificial Neural Networks A. Tobatayeva et al. https://doi.org/10.1260/0144-5987.29.4.357
- Delineation of groundwater zones with contrasting quality in the fluorotic zone, around Mount Meru, northern Tanzania E. Makoba & A. Muzuka https://doi.org/10.1080/02626667.2020.1858233
- APPLICATION OF PRIMARY AND SECONDARY RESISTIVITY PARAMETERS IN EVALUATING AQUIFER POTENTIAL AND VULNERABILITY WITHIN KABBA, NORTH CENTRAL NIGERIA A. Hudu et al. https://doi.org/10.33003/fjs-2024-0804-2581
- Enhancing data-driven modeling of fluoride concentration using new data mining algorithms P. Gupta & S. Maiti https://doi.org/10.1007/s12665-022-10216-z
- Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method F. Jiang et al. https://doi.org/10.1007/s11063-020-10229-4
- Optimising noise intervened data processes for inverse geoelectrical problem using adaptive neuro fuzzy inference system (ANFIS) A. Raj et al. https://doi.org/10.1080/20909977.2021.1900525
- Memory Based Hybrid Dragonfly Algorithm (MHDA): a New Technique for Determining Model Parameter in Vertical Electrical Sounding (VES) Data I. Ramadhani et al. https://doi.org/10.1088/1742-6596/1245/1/012020
- Geophysics and remote sensing applications for groundwater exploration in fractured basement: A case study from Abha area, Saudi Arabia M. AL Deep et al. https://doi.org/10.1016/j.jafrearsci.2021.104368
- MATLAB code for data-driven initial model of 1D Schlumberger sounding curve J. Nosakare Ogunbo https://doi.org/10.1190/geo2016-0631.1
- Integrated geoelectrical and hydrogeochemical investigation for mapping the aquifer at Langat Basin, Malaysia M. Khaki et al. https://doi.org/10.1007/s12665-015-5182-0
- Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks S. Maiti et al. https://doi.org/10.1007/s10661-012-2802-y
- Delineation of shallow resistivity structure around Malvan, Konkan region, Maharashtra by neural network inversion using vertical electrical sounding measurements S. Maiti et al. https://doi.org/10.1007/s12665-012-1779-8
- Geoelectric investigation to delineate groundwater potential and recharge zones in Suki river basin, north Maharashtra G. GUPTA et al. https://doi.org/10.1007/s12040-015-0615-4
- Aquifer Characterization and Groundwater Potential Using Integrated Geoelectric Sounding and Geoinformatics in West Maghagha Area, Minia Governorate, Egypt A. Abdulaziz & A. Faid https://doi.org/10.4236/ojg.2017.711109
- Analysis of Electrical Resistivity Data in Resolving the Saline and Fresh Water Aquifers in West Coast Maharashtra G. Gupta et al. https://doi.org/10.1007/s12594-014-0163-6
- Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data S. Raj et al. https://doi.org/10.14302/issn.2766-8681.jcsr-21-3796
- Influence of geochemistry and topography on vegetation in tropical Nigeria: Geochemistry and soil thickness surpass topographic position A. Akinwumiju & M. Olorunfemi https://doi.org/10.1016/j.catena.2023.107277
- A novel and generalized approach in the inversion of geoelectrical resistivity data using Artificial Neural Networks (ANN) A. Raj et al. https://doi.org/10.1007/s12040-014-0402-7
- Hamiltonian Monte Carlo based elastic full-waveform inversion of wide-angle seismic data N. Dhabaria & S. Singh https://doi.org/10.1093/gji/ggae112
- Advances in Geo-Time Series Modelling R. Tiwari & R. Rekapalli https://doi.org/10.1007/s12594-021-1862-4
- Enhancing the prediction of hydraulic parameters using machine learning, integrating multiple attributes of GIS and geophysics P. Gupta & S. Maiti https://doi.org/10.1007/s10040-022-02567-5
- Thin-sheet electromagnetic modeling of magnetovariational data for a regional-scale study H. Grandis & M. Menvielle https://doi.org/10.1186/s40623-015-0290-3
- Düşey Elektrik Sondajı Verilerinin Genelleştirilmiş Regresyon Sinir Ağları ile Ters Çözümü D. DURDAĞ & E. PEKŞEN https://doi.org/10.29130/dubited.1100533
Latest update: 08 Jun 2026
