Predictive Modeling For In Situ Recovery Operation

Canadian Institute of Mining, Metallurgy and Petroleum
Gilles Joubert Gwenaële Petit Ulan Massimkhanov
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
14
File Size:
1617 KB
Publication Date:
Jan 1, 2020

Abstract

For its Zuuvch Ovoo uranium deposit in Mongolia, Badrakh Energy (partly owned by Orano Mining) is working on the prefeasibility study for exploitation by ISR (in situ recovery). As part of this project, Orano built a 2-cell (each cell is constituted of one producer well located in the center and surrounded by six injection wells in an hexagonal pattern) and a processing pilot plant that will be used to demonstrate the operability and economic viability of an ISR process. Another main objective of this pilot trial is to demonstrate the ability of Orano’s modeling tools to predict the ore behavior under given leaching conditions. To model uranium production by ISR, Orano uses HYTEC, a reactive transport computational software, which was adapted for its existing operation in Kazakhstan (Katco) to predict uranium recovery and reagent usage based on operating conditions. In order to perform similar simulations for this new deposit, Orano engaged in a comprehensive program including ore sampling, detailed characterization, and metallurgical testwork. The mineralogical conclusions were used to prepare a simplified geochemistry for the ore, in particular carbonate and reactive clay grades, uranium mineralization and penalizing elements such as pyrite. Then, bottle roll leach tests were used to characterize dissolution kinetics for smectite clays. Eventually, column leach test results such as pH, free acid, and uranium recovery were modeled on HYTEC to improve the fit of some of the dissolution kinetic parameters. Parameters fitted using metallurgical test work results will now be used as inputs for predictive model at the pilot scale, in order to anticipate operational results and help with operating decisions for production ramp up.
Citation

APA: Gilles Joubert Gwenaële Petit Ulan Massimkhanov  (2020)  Predictive Modeling For In Situ Recovery Operation

MLA: Gilles Joubert Gwenaële Petit Ulan Massimkhanov Predictive Modeling For In Situ Recovery Operation. Canadian Institute of Mining, Metallurgy and Petroleum, 2020.

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