Mr Sultan Abulkhair
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Biography/ Background
Research Experience:
Oct. 2021 – present. PhD Candidate, ARC Training Centre for Integrated Operations for Complex Resources, School of Civil, Environmental & Mining Engineering, University of Adelaide, Adelaide, Australia.
Sep. 2019 – Sep. 2021. Research Assistant, School of Mining and Geosiences, Nazarbayev University, Nur-Sultan, Kazakhstan.
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Qualifications
Education:
MSc in Mining Engineering (Graduated with Honours), Nazarbayev University, Nur-Sultan, Kazakhstan, 2021. Thesis Title: A novel approach for geostatistical modeling and production scheduling of iron deposits with inequality constraints
BEng in Geology and Exploration of Deposits of Minerals, Kazakh-British Technical University, Almaty, Kazakhstan, 2019.
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Awards & Achievements
Australian Government-funded Australian Research Council Industrial Transformation Training Centre for Integrated Operations for Complex Resources Scholarship covering full tuition fees plus a living allowance for 3 years (2021 - 2024)
Nazarbayev University Honors Designation (June 2021): Graduated with Honors, GPA – 3.91/4.00
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Research Interests
§ Multivariate Geostatistics
§ Multiple-Point Statistics
§ Stochastic Mine Planning
§ Geological Domaining
§ Data Assimilation
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Publications
Journal Papers:
Abulkhair, S., & Madani, N. (2022). Stochastic modeling of iron in coal seams using two-point and multiple-point geostatistics: A case study. Mining, Metallurgy & Exploration, 39, 1313-1331. doi
Abulkhair, S., & Madani, N. (2021). Assessing heterotopic searching strategy in hierarchical cosimulation for modeling the variables with inequality constraints. Comptes Rendus - Géoscience, 353, 115-134. doi
Madani, N., & Abulkhair, S. (2020). A hierarchical cosimulation algorithm integrated with an acceptance-rejection method for the geostatistical modeling of variables with inequality constraints. Stochastic Environmental Research and Risk Assessment, 34, 1559-1589. doi
Conference Papers:
Abulkhair, S., Madani, N., & Morales, N. (2021). Reproduction of Inequality Constraint between Iron and Silica for Accurate Production Scheduling. In Proceedings of the Iron Ore Conference 2021 (pp. 531-541). Carlton: AusIMM. link
Abulkhair, S., & Madani, N. (2021). Mineral resource modelling of variables with inequality constraints: a case study of an iron ore deposit. In C. Musingwini, & M. Woodhall (Eds.), Proceedings: Application of Computers and Operations Research in the Minerals Industries (pp. 449-458). Johannesburg: SAIMM. link
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Professional Associations
Oct. 2020 – present. International Association of Mathematical Geosciences (member)
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Entry last updated: Monday, 23 May 2022