N. P. Singh

Petrophysical evaluation of well log data and rock physics modeling for characterization of Eocene reservoir in Chandmari oil field of Assam-Arakan basin, India

Mithilesh Kumar, Rajdeep Dasgupta, Dip Kumar Singha et al. · Journal of Petroleum Exploration and Production Technology · 2017 · 45 citations · Full text

Engineering, Effective Porosity, Earth Science +19

Application of LP and ML sparse spike inversion with probabilistic neural network to classify reservoir facies distribution - A case study from the Blackfoot field, Canada

Satya Prakash Maurya, N. P. Singh · Journal of Applied Geophysics · 2018 · 41 citations

Engineering, Machine Learning, Data Science +12

Qualitative and quantitative comparison of geostatistical techniques of porosity prediction from the seismic and logging data: a case study from the Blackfoot Field, Alberta, Canada

Satya Prakash Maurya, Kumar Hemant Singh, N. P. Singh · Marine Geophysical Research · 2018 · 34 citations

Geotechnical Engineering, Porosity Prediction, Engineering +9

Estimation of subsurface rock properties from seismic inversion and geo-statistical methods over F3-block, Netherland

Prabodh Kumar Kushwaha, S. P. Maurya, Piyush Rai et al. · Exploration Geophysics · 2020 · 31 citations

Applied Geophysics, Engineering, Seismic Wave +21

Identification of fracture zones for groundwater exploration using very low frequency electromagnetic (VLF-EM) and electrical resistivity (ER) methods in hard rock area of Sangod Block, Kota District, Rajasthan, India

Naziya Jamal, N. P. Singh · Groundwater for Sustainable Development · 2018 · 28 citations

Geotechnical Engineering, Hydrogeology, Applied Geophysics +10