Artificial neural network model for reservoir petrophysical properties: porosity, permeability and water saturation prediction
AN Okon, SE Adewole, EM Uguma - Modeling Earth Systems and …, 2021 - Springer
Prediction of reservoir petrophysical properties from well-logs data has evolved from the use
of experts' knowledge and statistics to the use of artificial intelligence (AI) models. Several AI …
of experts' knowledge and statistics to the use of artificial intelligence (AI) models. Several AI …
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification
L Zeng, W Ren, L Shan - Neurocomputing, 2020 - Elsevier
Many old oilfields have missed or distorted well logs data, which is due to long history of
shutdown, poor borehole conditions, damaged instrument, and other reasons. These bring …
shutdown, poor borehole conditions, damaged instrument, and other reasons. These bring …
Machine learning-a novel approach to predict the porosity curve using geophysical logs data: An example from the Lower Goru sand reservoir in the Southern Indus …
Porosity estimation is one of the essential issues in oil and natural gas industries to evaluate
the reservoir characteristics properly. Therefore, it is imperative to predict porosity with the …
the reservoir characteristics properly. Therefore, it is imperative to predict porosity with the …
Data driven model for sonic well log prediction
Near wellbore failure during the exploration of hydrocarbon reservoirs presents a serious
concern to the oil and gas industry. To predict the probability of these undesirable …
concern to the oil and gas industry. To predict the probability of these undesirable …
Machine learning approaches for formation matrix volume prediction from well logs: insights and lessons learned
PVD Kannaiah, NK Maurya - Geoenergy Science and Engineering, 2023 - Elsevier
Determining the formation rock type and their petrophysical properties using well-log data is
necessary for resource assessment. Formation porosity, shale content, and saturations must …
necessary for resource assessment. Formation porosity, shale content, and saturations must …
Porosity prediction using Fuzzy SVR and FCM SVR from well logs of an oil field in south of Iran
N Moosavi, M Bagheri, M Nabi-Bidhendi, R Heidari - Acta Geophysica, 2023 - Springer
Identification of petrophysical parameters including porosity plays an important role to
evaluate hydrocarbon reservoirs. A precise prediction of porosity in oil and gas reservoirs …
evaluate hydrocarbon reservoirs. A precise prediction of porosity in oil and gas reservoirs …
Neural network model for permeability prediction from reservoir well logs
R Abdel Azim, A Aljehani - Processes, 2022 - mdpi.com
The estimation of the formation permeability is considered a vital process in assessing
reservoir deliverability. The prediction of such a rock property with the use of the minimum …
reservoir deliverability. The prediction of such a rock property with the use of the minimum …
Porosity prediction of lower cretaceous unconventional resource play, south Indus Basin, Pakistan, using the seismic spectral decomposition technique
MT Naseer, S Asim - Arabian Journal of Geosciences, 2018 - Springer
Incised-valley shale systems are renowned as the fruitful exploration domains. However, the
stratigraphic heterogeneity is significant, and thus, identifying the porous compartments …
stratigraphic heterogeneity is significant, and thus, identifying the porous compartments …
WOA (Whale Optimization Algorithm) optimizes elman neural network model to predict porosity value in well logging curve
Y Sun, J Zhang, Z Yu, Z Liu, P Yin - Energies, 2022 - mdpi.com
Porosity is a vital parameter in reservoir research. In the process of oil exploration, reservoir
research is very important for oil and gas exploration. Because it is necessary to take cores …
research is very important for oil and gas exploration. Because it is necessary to take cores …
Projecting Petrophysical Logs at the Bit through Multi-Well Data Analysis with Machine Learning
The vertical distance from logging while drilling (LWD) sensors to the bit is often more than
30m (98 ft), which leads to difficulty in performing real-time comparison of LWD and drilling …
30m (98 ft), which leads to difficulty in performing real-time comparison of LWD and drilling …