Publications
Article · Journal of Hazardous Materials · October 15, 2025
Machine learning models for predicting surfactant-enhanced oil removal from contaminated soil
Ehsan Hajibolouri, Bakhbergen E. Bekbauov, Sagyn Omirbekov, Mohammad Ranjbaran, Dinara Turalina, Masoud Riazi
Microbial bioremediation and biosurfactantsGroundwater flow and contamination studiesEnvironmental and Analytical Chemistry Studiessurfactant-enhanced remediationsoil remediationpetroleum contamination
More by Sagyn Omirbekov
- Data-driven preprocessing for prediction of the dynamic α₀-factor in full-scale WWTP aerationResults in Engineering · 2026
- Foam-assisted (bio)remediation of petroleum-contaminated soil: effects of surfactant formulation on foam behaviour, interfacial properties, and bioavailability2026
- OPTIMIZING SURFACTANT FOAM FORMULATIONS FOR ENHANCED (BIO)REMEDIATION OF PETROLEUM-CONTAMINATED SOILHAL · 2026
- Foams for enhanced remediation of NAPL-contaminated soils and aquifers: A review of foam formation, stability, and environmental applicationsFigshare · 2026
