Items where Author is "Kumar, Priyadarshi Chinmoy"

Article

Kumar, Priyadarshi Chinmoy ; Alves, Tiago M. ; Sain, Kalachand (2021) Forced folding in the Kora Volcanic Complex, New Zealand: A case study with relevance to the production of hydrocarbons and geothermal energy Geothermics, 89 . p. 101965. ISSN 0375-6505

Kumar, Priyadarshi Chinmoy ; Omosanya, Kamal’deen O. ; Eruteya, Ovie Emmanuel ; Sain, Kalachand (2021) Geomorphological characterization of basal flow markers during recurrent mass movement: A case study from the Taranaki Basin, offshore New Zealand Basin Research, 33 (4). pp. 2358-2382. ISSN 0950-091X

Kumar, Priyadarshi Chinmoy ; Sain, Kalachand (2020) Interpretation of magma transport through saucer sills in shallow sedimentary strata using an automated machine learning approach Tectonophysics, 789 . p. 228541. ISSN 0040-1951

Kumar, Priyadarshi Chinmoy ; Sain, Kalachand (2020) A machine learning tool for interpretation of Mass Transport Deposits from seismic data Scientific Reports, 10 (1). ISSN 2045-2322

Kumar, Priyadarshi Chinmoy ; Sain, Kalachand ; Mandal, Animesh (2019) Delineation of a buried volcanic system in Kora prospect off New Zealand using artificial neural networks and its implications Journal of Applied Geophysics, 161 . pp. 56-75. ISSN 0926-9851

Kumar, Priyadarshi Chinmoy ; Omosanya, Kamaldeen Olakunle ; Sain, Kalachand (2019) Sill Cube: An automated approach for the interpretation of magmatic sill complexes on seismic reflection data Marine and Petroleum Geology, 100 . pp. 60-84. ISSN 0264-8172

Kumar, Priyadarshi Chinmoy ; Omosanya, Kamal'deen O. ; Alves, Tiago M. ; Sain, Kalachand (2019) A neural network approach for elucidating fluid leakage along hard-linked normal faults Marine and Petroleum Geology, 110 . pp. 518-538. ISSN 0264-8172

Singh, Deepak ; Kumar, Priyadarshi Chinmoy ; Sain, Kalachand (2016) Interpretation of gas chimney from seismic data using artificial neural network: A study from Maari 3D prospect in the Taranaki basin, New Zealand Journal of Natural Gas Science and Engineering, 36 . pp. 339-357. ISSN 1875-5100