Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Saumen Maiti"'
Autor:
Goutami Das, Saumen Maiti
Publikováno v:
Energy Geoscience, Vol 5, Iss 2, Pp 100227- (2024)
Pore pressure (PP) information plays an important role in analysing the geomechanical properties of the reservoir and hydrocarbon field development. PP prediction is an essential requirement to ensure safe drilling operations and it is a fundamental
Externí odkaz:
https://doaj.org/article/f50d08a9afd94ab68660b9cd7bf43120
Publikováno v:
GEOPHYSICS. 88:M49-M58
Understanding the effect of fluid concentration in rocks is crucial to characterize a hydrocarbon reservoir. Monitoring of fluid concentration specifically becomes challenging during a sequestration/enhanced oil recovery program because the objective
Autor:
Praveen Kumar Gupta, Saumen Maiti
Publikováno v:
Pure and Applied Geophysics. 180:243-259
Autor:
Praveen Kumar Gupta, Saumen Maiti
Publikováno v:
Hydrogeology Journal. 31:501-520
Autor:
Surabhi Gupta, Saumen Maiti
Publikováno v:
Water and Environment Journal.
Publikováno v:
Natural Resources Research. 31:643-661
Publikováno v:
Day 1 Mon, February 21, 2022.
Summary This paper shows the study of the construction of a few models based on machine learning regression techniques with various applications. Fulfilling the need of missing well log data, here density log, by training the model from other wells i
Autor:
Praveen Kumar Gupta, Saumen Maiti
Publikováno v:
Environmental Earth Sciences. 81
Publikováno v:
Neural Computing and Applications. 32:3183-3202
Modelling of anomalous geological source from the gravity data is vital for understanding the crustal/sub-crustal interface depths and associated hazard assessment. Two-dimensional radial power spectra have usually been used to infer average depth of
Autor:
Saumen Maiti, Mampi Karmakar
Publikováno v:
Measurement. 135:852-868
Pore pressure (PP) study can provide insightful information about evolution history and/or geological process taking place over a region. Conventional methods, mostly are of deterministic, and they do not allow considering underlying variability and