Machine learning-driven classification of hydraulic flow units for enhanced reservoir characterization

• Published in: Physics of fluids (1994) Vol. 37; no. 3
• Main Authors: Hussain, Wakeel, Ali, Muhammad, Kasala, Erasto E, Ali, Sajid, AL-khulaidi, Ghamdan, Sadiq, Izhar, Nyakilla, Edwin E, Hussain, Saddam, Abelly, Elieneza Nicodemus
• Format: Journal Article
• Language: English
• Published: Melville American Institute of Physics 01.03.2025
• Subjects: Classification; Cluster analysis; Clustering; Fluid flow; Indicators; Machine learning; Particle swarm optimization; Reservoirs; Sandstone; Shales; Spatial distribution; Vector quantization

This study focuses on the classification of Hydraulic Flow Units (HFUs) within the Lower Goru reservoir using a hybrid modeling approach for a more precise and data-driven reservoir characterization. The methodology begins with K-means clustering, which groups the reservoir into distinct HFUs based...