Saurabh Datta Gupta

Scopus Publications

Geomechanical characterization of reservoir and caprock integrity for CO2 sequestration assessment in the Jaisalmer Basin, India
Sasmita Hembram, Kumari Shiwani Verma, Saurabh Datta Gupta, Arghya Dutta, Pydiraju Yalamanchi
Journal of Earth System Science, 2026
Analysis of Geostatistical Model to Identify the Potential of Challenging Coal Bed Methane (CBM) Reservoir with the Support of Machine Learning (ML) and Synthetically Generated Seismic Data: A Study from Jharia Coalfield of the Damodar River Valley Basin, India
Saurabh Datta Gupta, Sugata Kumar Sinha
Pure and Applied Geophysics, 2026
Geological Hydrogen Prospectivity of Iron Ore Deposits in India Based on Semiquantitative Analysis
Raj Kiran, Mohd Saif, David A. Wood, Saurabh Datta Gupta, Ashutosh Kumar, Rajeev Upadhyay, Vinay Kumar Rajak
ACS Omega, 2025
With increasing focus on clean energy, naturally occurring hydrogen in geological reservoirs represents a potentially attractive energy resource. Studies suggest that the quantity of recoverable subsurface hydrogen is potentially abundant and could have contributed substantially to the global energy supply for several decades. However, the exploration and exploitation processes and technologies for identifying and extracting these potential resources, remain poorly developed. This study presents a semiquantitative approach to provisionally identify the target areas suitable for hydrogen-resource exploration based on prospectivity mapping with available data for India. The proposed approach uses ARCGIS software to generate distance classifications based on positive Bouguer gravity anomalies and the presence of fault systems and surface water bodies relative to identified iron ore deposit locations. These basic measurements provide a provisional identification of geological systems likely to be favorable for the existence of subsurface hydrogen reservoirs. As a first step, the map of India was divided into grids and the locations of known iron ore deposits were identified, highlighting the Indian states with the greatest potential for geologic hydrogen resources. For each of the five states identified, three classification maps corresponding to positive Bouguer anomalies, faults, and surface water bodies, were plotted in terms of their Euclidean distances from known iron ore deposit locations. Favorability scores ranging between 0.1 and 1.0, were assigned based on the distances established for each location using these parameters. The maximum favorability score, 1.0 was assigned to the minimum distance on the classification map, whereas a score of 0.1 referred to the maximum distance. An integrated weighted-average favorability index was defined for each location. The applied weighting factors corresponding to positive Bouguer anomalies, faults, and surface waterbodies were 0.6, 0.2, and 0.2 respectively. Furthermore, magnetic anomalies (with data available for only certain locations), the presence of mafic/ultramafic lithologies, and aquifer systems were qualitatively checked for the identified locations, providing additional evidence of high concentrations of iron-bearing magnetic minerals. The results of the analysis suggest that the state of Karnataka has locations displaying the highest average weighted-average favorability index (prospectivity) score (0.921) for geological hydrogen. Tamil Nadu, Odisha, and Jharkhand also possess some locations considered suitable for hydrogen exploration. Andhra Pradesh was identified as having the lowest potential for hydrogen exploration of the five Indian states assessed. Overall, relatively few iron ore deposit sites were identified with high weighted-average favorability indices.
Evaluating the effectiveness of ensemble machine learning approaches for pore pressure prediction using petrophysical log data in carbonate reservoir
Pydiraju Yalamanchi, Saurabh Datta Gupta, Rajeev Upadhyay
Acta Geophysica, 2025
Improvement of Seismic Image Based on Coordinate Transformation and Incorporation of Anisotropy Factors in Seismic Velocity
Nabanita Pradhan, Saurabh Datta Gupta
Pure and Applied Geophysics, 2025
Estimation of pore structure and permeability in tight carbonate reservoir based on machine learning (ML) algorithm using SEM images of Jaisalmer sub-basin, India
Pydiraju Yalamanchi, Saurabh Datta Gupta
Scientific Reports, 2024
Analyzing the pore structure in carbonate reservoirs plays a crucial role in predicting fluid flow characteristics within these formations. The goal of the study was to use machine learning techniques for pore structure analysis and estimation of permeability in carbonate reservoirs. We implemented these algorithms by examining 2D scanning electron microscope (SEM) images of carbonate samples from the Jaisalmer sub-basin captured at various magnifications. In the initial stage of the analysis, various binarization algorithms were applied to determine carbonate sample porosity. Among these algorithms, the MaxEntropy algorithm gave a porosity value closely aligned with those obtained through petrography analysis. We employed the watershed algorithm to find the pore network parameters of carbonate samples at various magnifications. We observed that changes in magnification affected pore network parameters, resulting in a reduction in pore size distribution, throat radius, and grain size. Subsequently, we employed the numerical lattice Boltzmann method (LBM) to estimate the permeability of carbonate samples and compared to values derived from well logs. We employed machine learning (ML) algorithms, specifically Artificial Neural Network (ANN) and Support Vector Machine (SVM), to predict the permeability of carbonate samples. The input features for these models were the pore network parameters, while the LBM permeability values served as the output. We examine the prediction performance of these methods against the measured LBM permeability by conducting the error analysis and the coefficient of determination ($${R}^{2}$$ R 2 ) calculation. Our findings revealed that the ANN models outperformed the SVM models. Specifically, the ANN model displayed an impressive R2 value of 0.892, along with root mean square error (RMSE), mean squared error (MSE) and, mean absolute error (MAE) values of 1.927, 3.716 and 1.580, respectively. In contrast, the SVM model yielded an R2 value of 0.849, with RMSE, MSE and, MAE values of 2.324, 5.401 and, 2.166 respectively, when assessed on testing data of measured permeability. This study found that ANN is more dependable, robust, and precise than SVM in forecasting carbonate sample permeability.
Underpinnings of reservoir and techno-economic analysis for Himalayan and Son-Narmada-Tapti geothermal sites of India
Raj Kiran, Rajeev Upadhyay, Vinay Kumar Rajak, Ashutosh Kumar, Saurabh Datta Gupta
Renewable Energy, 2024
Using rock physics analysis driven feature engineering in ML-based shear slowness prediction using logs of wells from different geological setup
Shantanu Chakraborty, Saurabh Datta Gupta, Varsha Devi, Pydiraju Yalamanchi
Acta Geophysica, 2024
Identification of challenging gas-bearing reservoir based on machine learning (ML) and computed conversion-based AVO analysis: a study from Jaisalmer Sub-basin, India
Nabanita Pradhan, Saurabh Datta Gupta
Journal of Petroleum Exploration and Production Technology, 2024
Amplitude variation with offset (AVO) analysis is an important tool for identifying natural gas-bearing reservoirs. The changes in seismic amplitudes based on the variation of density and velocity of the rock matrix are captured through the AVO analysis. The current work was performed in the Ghotaru region of the Jaisalmer Sub-basin area, where limited and discrete hydrocarbon discoveries were observed from the Lower Goru Formation during the earlier various exploration campaigns. The discrete nature of the reservoir lithofacies developed challenging scenarios for the successful exploratory campaign. The campaign encountered more difficulties because of limited advanced datasets, which affected the study to capture the extension of hydrocarbon-bearing reservoir lithofacies and its characterization towards a successful exploration campaign. This study shows the way to overcome these challenges using an existing conventional dataset. The study shows the possibility of AVO analysis using a post-stack seismic dataset. A unique conversion method from post-stack to pre-stack seismic is introduced in this study based on the uses of the integrated velocity model. An integrated, robust velocity model was developed with consideration of anisotropy factors. Introducing a machine learning-based algorithm in the petrophysical study, including the conventional approach, provides a robust validation of this work. Intercept (A) and gradient (B) are the basic outcome of AVO analysis. The well-based study and AVO analysis based on intercept (A) and gradient (B) complement each other for finding hydrocarbon-bearing reservoir rock. Cross-plots and AVO analysis show the reservoir's lithofacies extension and fluids. The study reveals the potential of natural gas retained in the Lower Goru Formation, which is composed of patchy sandstone. Two AVO classes (Class I and Class III) of gas-bearing sandstone have been identified in this study. This study presents a unique method for identifying natural gas reservoirs with limited old conventional data.
Comprehensive study of the underground hydrogen storage potential in the depleted offshore Tapti-gas field
Raj Kiran, Rajeev Upadhyay, Vinay Kumar Rajak, Saurabh Datta Gupta, Harharjot Pama
International Journal of Hydrogen Energy, 2023
Impact of pressure-dependent diffusivity on transient pressure analysis of a dry Coalbed Methane (CBM) wells: A new approach
Rajeev Upadhyay, Saurabh Datta Gupta, Vinay Kumar Rajak
Journal of Earth System Science, 2023
Velocity variation coefficient-based angle-dependent gradient conditioning scheme: a new strategy for an enhanced full waveform inversion
Santosh Dhubia, Alok Kumar Routa, Saurabh Datta Gupta, Priya Ranjan Mohanty
Journal of Petroleum Exploration and Production Technology, 2023
Wavefield reconstruction of pseudo-spectral reverse time migration using a one-point wide-based minimum boundary saving scheme
Santosh Dhubia, Alok K Routa, Saurabh Datta Gupta, Priya R Mohanty, P H Rao
Journal of Earth System Science, 2022
Capture the variation of acoustic impedance property in the Jaisalmer Formation due to structural deformation based on post-stack seismic inversion study: a case study from Jaisalmer sub-basin, India
Saurabh Datta Gupta, Sugata Kumar Sinha, Raman Chahal
Journal of Petroleum Exploration and Production Technology, 2022
Uses of Green's function for enhancing the image resolution of Ground Penetrating Radar (GPR) data
Priyanka Gautam, Saurabh Datta Gupta
Journal of Applied Geophysics, 2022
Performance assessment of composite skirted ground reinforcement system in liquefiable ground under repeated dynamic loading conditions
S. P. Vijay Kumar, S. Ganesh Kumar, Saurabh Datta Gupta
Bulletin of Earthquake Engineering, 2022
Establishment of economic viability for hydrocarbon production through a geocellular model developed in challenging geological reservoir of onshore sedimentary basin, India
Himalayan Geology, 2022
SIGNIFICANCE OF SUITABLE WAVELET ESTIMATION TO THE ANALYSIS OF SPECTRAL DECOMPOSITION METHOD TO DETECT CHANNEL FEATURE: A CASE STUDY IN THE JAISALMER SUB-BASIN, INDIA
Journal of Seismic Exploration, 2021
A geological model for enhanced coal bed methane (ECBM) recovery process: A case study from the Jharia coalfield region, India
Sugata Kumar Sinha, Saurabh Datta Gupta
Journal of Petroleum Science and Engineering, 2021
Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India
Pydiraju Yalamanchi, Saurabh Datta Gupta
Pure and Applied Geophysics, 2021
Capture the variation of the pore pressure with different geological age from seismic inversion study in the Jaisalmer sub-basin, India
Raman Chahal, Saurabh Datta Gupta
Petroleum Science, 2020
Missing Coal Seam between East and West Bokaro near Lugu Hill of Damodar Basin, India: A Geological Model
Sugata Kumar Sinha, Saurabh Datta Gupta
Journal of the Geological Society of India, 2020
Velocity anisotropy analysis for shale lithology of the complex geological section in Jaisalmer sub-basin, India
Nabanita Pradhan, Saurabh Datta Gupta, P R Mohanty
Journal of Earth System Science, 2019
Importance of coloured inversion technique for thin hydrocarbon sand reservoir detection – A case in mid Cambay basin
Saurabh Datta Gupta, Ramesh Gupta
Journal of the Geological Society of India, 2017
Fracture and stress orientation from borehole image logs: A case study from Cambay basin, India
Rima Chatterjee, Saurabh Datta Gupta, Partha Pratim Mandal
Journal of the Geological Society of India, 2017
Reservoir identification using full stack seismic inversion technique: A case study from Cambay basin oilfields, India
Rima Chatterjee, Saurabh Datta Gupta, M.Y. Farroqui
Journal of Petroleum Science and Engineering, 2013
Erratum: Application of nuclear magnetic resonance log for evaluating low resistivity reservoirs: A case study from the Cambay basin, India (Journal Of Geophysics And engineering (2012) 9 (595))
Rima Chatterjee, Saurabh Datta Gupta, M Y Farooqui
Journal of Geophysics and Engineering, 2012
Application of nuclear magnetic resonance logs for evaluating low-resistivity reservoirs: A case study from the Cambay basin, India
Rima Chatterjee, Saurabh Datta Gupta, M Y Farooqui
Journal of Geophysics and Engineering, 2012
Rock physics template (RPT) analysis of well logs and seismic data for lithology and fluid classification in Cambay Basin
Saurabh Datta Gupta, Rima Chatterjee, M. Y. Farooqui
International Journal of Earth Sciences, 2012
Integrated subsurface analysis for conceptual geological model development of basement, Ingoli field, Cambay basin, India
Society of Petroleum Engineers International Petroleum Technology Conference 2012 Iptc 2012, 2012
Formation evaluation of fractured basement, Cambay Basin, India
Saurabh Datta Gupta, Rima Chatterjee, M Y Farooqui
Journal of Geophysics and Engineering, 2012
Integrated subsurface analysis for conceptual geological model development of basement, Ingoli field, Cambay basin, India
International Petroleum Technology Conference 2011 Iptc 2011, 2011

Saurabh Datta Gupta

RESEARCH INTERESTS

Scopus Publications