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Open access
Aug 2026
Permeability prediction from well-logs by applying Hydraulic flow unit and Machine learning: a case study of Cuu Long basin, offshore Vietnam
Relevance. This paper addresses the challenge of classifying and predicting hydraulic flow units in reservoirs, particularly in heterogeneous formations like the Cuu Long basin, offshore Vietnam. Integrating machine learning techniques offers a modern and efficient approach to reservoir characterization, which is cruci...
H. D. Vu, Thanh Tùng Nguyễn, M. Nguyen et al.
· Bulletin of the Tomsk Polyte... · 0 citations
Aug 2026
Ensemble Machine-Learning-Based Horizontal Permeability Prediction and Hydraulic Flow Unit Characterization of the Hugin Sandstone
Understanding permeability is essential for evaluating reservoir quality and field development planning. Reliable permeability estimation can reduce the uncertainty in reservoir characterization, particularly in intervals where core data are limited. As the industry relies on log-based interpretations and empirical cor...
Vikram Kumar, Sayantan Ghosh, S. Maiti
· Petrophysics · 0 citations
Conference
Open access
Aug 2026
Prediction of Porosity and Permeability Using Well Log and Core Data: A Data-Driven Approach
Accurate prediction of porosity and permeability is very important for reservoir characterization and hydrocarbon extraction. Traditional workflow in the form of empirical correlations is usually difficult, time-consuming, spatially limiting, and entirely dependent on formation geology. The current study examines a dif...
Md Alamin Islam, Bintun Zaman, Shahria Nayem Ahmed
· Engineering · 0 citations
Open access
Aug 2026
Ensemble Machine Learning for Seismic Attribute-Based Porosity Prediction and Lithofacies Classification in Clastic Hydrocarbon Reservoirs: A Comparative Workflow with Uncertainty Assessment
Accurate prediction of reservoir porosity and reliable lithofacies classification are fundamental to hydrocarbon exploration and reservoir development because they directly influence reserve estimation, well placement, and production optimization. Conventional seismic interpretation methods often struggle to capture th...
Pronab Chowdhury
· International Journal of Inn... · 0 citations
Open access
Sep 2026
Data driven permeability modelling in tight Jhuran formation sandstones of the Kutch offshore Basin India
Permeability prediction in tight sandstone reservoirs remains a fundamental challenge, particularly in data-constrained frontier basins. The Mesozoic Jhuran Formation of the Kachchh Offshore Basin is characterized by low permeability (0.01–10 mD), heterogeneous facies architecture, and diagenetically modified pore syst...
G. D. D. Jyotsna, M. Anees, S. Mavani et al.
· Discover Geoscience · 0 citations
Conference
Aug 2026
Core-Calibrated Machine Learning–Based Permeability Estimation: A Western Niger Delta Case Study
Accurate permeability estimation is essential for optimum reservoir characterization, simulation, and development planning; however, its prediction remains challenging due to the limited availability of core-derived permeability measurements, often constrained by acquisition cost and data coverage. This study present...
Nwakanma Alexander, E. Ekpenyong, Maduabuchi Ogu
· SPE Nigeria Annual Internati... · 0 citations