Minerals birefringence under polarized microscope at the University of Tehran, in addition to the field trips in the south of Alborz Mountain range, thanks to Dr. Kazem Seyed-Emami.
Among the Alborz and Zagros mountains, he studied the B.Sc. of mining engineering (option of exploration, 2004-2009) and the M.Sc. of petroleum engineering (option of exploration, 2009-2011). In a country rich in hydrocarbon and mineral deposits, he was being prepared to work on natural resources. Studying in engineering schools was an opportunity to learn numerical and mathematical modelling methods, whereas applying them to the earth-sciences paved the road to mining, petroleum and environmental studies.
After one year in Iranian Offshore Oil Co. (IOOC) for characterizing carbonate and clastic reservoirs, followed by another year in hematite iron resource estimation in the Yazd province, he immigrated to Brittany in France to add an international dimension to his professional career. In 2017, he defended his Ph.D. thesis, dual degree from the University of Rennes I (France) and the University of Tehran (Iran). In the same year, as a postdoctoral researcher of geostatistics he joined the French institute of radiation protection and nuclear safety (former IRSN, integrated to the ASNR).
In 2019, he took the role of consultant of geostatistics and Isatis.neo at Geovariances, a pioneer in developing geostatistical software applications. A couple of years later, Geovariances joined a world-wide mining enterprise, Datamine.
In 2021, he played an essential role in developing a geostatistical workflow of resource estimation for more than twenty lateritic nickel deposits of Weda-Bay and Eramet at Halmahera Island, Indonesia. It was a confirmation of his capacities in accompanying clients, realizing a complete workflow of resource estimation, and transferring the knowledge to the on-site geologists.
The area of expertise is the application of geostatistical methods, machine learning and Isatis.neo in:
The services proposed to the clients are:
The life cycle of mineral deposits in the earth starts from reconnaissance activities, followed by exploration as well as detailed investigations, and ends in resource estimation. The resource estimation is a prerequisite to the financial evaluation of the mineral deposits besides production design. A confident resource modelling, estimation and classification is essential to reduce the investigation and operation risks. In a simple language, mineral resource estimation means:
Intellectually interesting job to find solutions to the earth-related questions.
Estimating Weda-Bay lateritic nickel deposits which was a professionally high-level project, with on-site mission and training.
Gaining the confidence of clients in different continents and sectors:
Participating in the training sessions of:
Numerical methods and automation are gaining the floor. It has impacted from exploration to resource estimation and operation. It is in-line with the activities of Datamine and Geovariances to support this modernisation phase.
The knowledge that we have today is cumulated over the centuries. It cannot be acquired in a year or two. Several years of studying and experiences are necessary to absorb it and to put it into the practice. Continuous learning, perseverance and patience will give its sweets fruits. The learning cycle will be completed by teaching and transferring the knowledge.
Mining sector forms the anatomy of industry while energy sector blows the soul to it.
Extra-terrestrial exploration and mining.
The types of me: the me that I am, the me that I would like to be, the me that others imagine I am, the me that I imagine I am, and the me that I should be!
The successful integration of Reconcilor and LiveMine has provided significant benefits to Bellevue.
Designed specifically by professionals in the industry, DataBlast enables operational improvement through its integrated and comprehensive design capabilities.
Peabody identified gaps within their operations and improved their overall technical capacity with Datamine's consultants.
See how corporate resource and reserve information with the quality, accuracy, and reliability required by geologists is delivered with Studio RM.
Enhanced automation and streamlined data tracking empowered Rio Tinto to optimise operations, saving up to one month annually in manual efforts.
Achieving over 95% accuracy in a complex historical mining district with the MineScape mine planning model.
As part of the improvements since the implementation of this solution, the processing time of data is much shorter.
With Datamine's Production Accounting, data sources are transparent, they are recorded and stakeholders know where the data came from.
Geological domaining is a crucial step in the resource modelling process. See how our solution can streamline this process.
See why Whitehaven Coal has expanded their use of Scenario from selected pilot projects to their entire portfolio.
A integração bem-sucedida do Reconcilor e LiveMine trouxe benefícios significativos para a Bellevue.
Discover how a leading mining and metals company in South Africa transformed its laboratory operations with Datamine’s CCLAS solution.
Enhancing laboratory operations with Datamine's CCLAS at a top-tier iron ore and lithium operator.
Öksüt Gold Mine, operated by Centerra Gold in Turkey, partnered with Datamine to implement CCLAS — a mining-specific LIMS.
Eramet chose Isatis.py, Geovariances’ Python geostatistics library, to standardize, secure, and industrialize resource estimation across dozens of mining sites. The scalable web platform delivers faster, reproducible, error‑reduced workflows with full traceability and seamless Isatis.neo integration.
GAC automated their systems and transformed their operations with MineMarket, saving over 60 labour-hours every day and enabling real-time inventory visibility from pit to port.
Iron Ore Producer Transforms Inventory Management with MineMarket.
Integrated GDMS Fusion solution enabled Nexa Resources to centralise and standardise geological data management across Brazil, Peru, and Namibia, ensuring secure, real-time access, improved data quality, and streamlined operations
Faced with sparse drilling data in the northern extension of its Rodoretto talc mine, Imerys leveraged the advanced simulation capabilities of Isatis.neo, first using multiple-point statistics (MPS) and then plurigaussian simulations (PGS), to model lithologies and grades, with methodological support from Geovariances.
Minera Florida partnered with Datamine to replace its legacy system with CCLAS, ensuring accurate, timely, and traceable results that support compliance, reporting, and production quality.