Robust estimation of shear wave velocity in a carbonate oil reservoir from conventional well logging data using machine learning algorithms

H Kheirollahi, NS Manaman, A Leisi - Journal of Applied Geophysics, 2023 - Elsevier
In recent decades, various applications of shear wave velocity have been reported in oil and
gas projects. These applications include the determination of lithology, estimation of …

Poro-acoustic impedance (PAI) as a new and robust seismic inversion attribute for porosity prediction and reservoir characterization

A Leisi, S Aftab, NS Manaman - Journal of Applied Geophysics, 2024 - Elsevier
For the purpose of reservoir modelling, precise porosity estimation is vital as it directly
influences the storage capacity, fluid flow dynamics, and overall productivity of the reservoir …

Reservoir petrophysical Index (RPI) as a robust tool for reservoir quality assessment

S Aftab, A Leisi, A Kadkhodaie - Earth Science Informatics, 2023 - Springer
Investigating the quality of hydrocarbon reservoirs, especially carbonate reservoirs, is a very
critical issue in the economic evaluation of the reservoirs. Therefore, we have tried to …

New interpretation approach of well logging data for evaluation of Kern aquifer in South California

S Aftab, RH Moghadam, A Leisi - Journal of Applied Geophysics, 2023 - Elsevier
Today, various methods are offered to effectively understand the subsurface layers.
Meanwhile, the effective interpretation of different data can be effective in understanding the …

Developing deep learning methods for pre-stack seismic data inversion

S Jianguo, M Ntibahanana - Journal of Applied Geophysics, 2024 - Elsevier
Inversion of pre-stack seismic data is important for building accurate models of hydrocarbon
reservoirs used to estimate reserves and set up efficient production strategies. Conventional …

Deep learning for predicting porosity in ultra-deep fractured vuggy reservoirs from the Shunbei oilfield in Tarim Basin, China

Z Deng, D Zhou, H Dong, X Huang, S Wei, Z Kang - Scientific Reports, 2024 - nature.com
Deep and ultra-deep carbonate reservoirs in China, which account for 34% of the country's
oil and gas reserves, pose significant challenges for porosity prediction due to their complex …

Assessing heterogeneous groundwater systems: Geostatistical interpretation of well logging data for estimating essential hydrogeological parameters

MAA Mohammed, YG Flores, NP Szabó, P Szűcs - Scientific Reports, 2024 - nature.com
This research presents an unsupervised learning approach for interpreting well-log data to
characterize the hydrostratigraphical units within the Quaternary aquifer system in Debrecen …

A deep learning identification method of tight sandstone lithofacies integrating multilayer perceptron and multivariate time series

Z Mu, C Li, Z Liu, T Liu, K Zhang, H Mu, Y Yang… - Scientific Reports, 2024 - nature.com
Lithofacies classification and identification are of great significance in the exploration and
evaluation of tight sandstone reservoirs. Existing methods of lithofacies identification in tight …

Seismic sequence stratigraphy of Late Albian-Early Turonian successions in SW Iran: Implication for reservoir characterizations and potential for improved reservoir …

M Sabouhi, A Kadkhodaie, S Hosseinzadeh… - Journal of African Earth …, 2024 - Elsevier
Abstract The Late Albian-Early Turonian succession on the Arabian Platform stands out as
one of the world's richest hydrocarbon provinces. This study delves into the Seismic …

An Elastic–Electrical Analysis Method for Identifying Reservoirs and Lithology and its Application in the Northern Mexico Gulf Sedimentary Basin

S Aftab, RH Moghadam, NS Manaman - Arabian Journal for Science and …, 2024 - Springer
The elastic–electric properties of rocks play a crucial role in enhancing our understanding of
subsurface rock properties and reservoir characteristics. The purpose of investigating the …