Permeability prediction from well-logs by applying Hydraulic flow unit and Machine learning: a case study of Cuu Long basin, offshore Vietnam, Прогнозирование проницаемости по данным геофизических исследований скважин с применением гидравлических единиц потока и машинного обучения: на примере Кыулонгского бассейна, Вьетнам

<jats:p>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 crucial for improving permeability estimation and reducing uncertainty in reservoir modeling. Aim. To suggest a novel strategy to enhance the estimation of permeability and provide a more continuous geological profile for reservoir engineers. Objects. Core samples and well log data collected from 42 wells in the Cuu Long basin, offshore Vietnam. Methods. Machine learning techniques – both unsupervised and supervised were applied to predict permeability from well log data. Results. The study found that Fuzzy C-means clustering provided the optimal classification of hydraulic flow units, with 5 HUs being the best division for sedimentary reservoirs in the Cuu Long Basin. Among supervised learning models, Random Forest performed the best in clustering HUs, achieving an accuracy of 93% in training and 86% in testing, outperforming Boosted Tree, Artificial Neural Network, and Support Vector Machine. The integration of core and well log data improved hydraulic flow units classification and permeability prediction in heterogeneous reservoirs, providing a valuable tool for improved reservoir characterization and management in the Cuu Long basin and similar geological settings. For citation: Vu Hong Duong, Nguyen Thanh Tung, Nguyen Minh Hoa, Nguyen Danh Lam, Ha Quoc Dat, Nguyen Xuan Duy. Permeability prediction from well-logs by applying hydraulic flow unit and machine learning: a case study of Cuu Long basin, offshore Vietnam. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2026, vol. 337, no. 8, pp. 211–226. http://doi.org/10.18799/24131830/2026/8/5049</jats:p>