Patent application number | Description | Published |
20080267810 | Apparatus and process for making high purity nickel - An improved method of reducing a mixed metal oxide composition comprising oxides of nickel, cobalt, copper and iron in a hydrogen atmosphere to produce a mixture of the respective metals, the improvement wherein the atmosphere further comprises water vapour at a concentration, temperature and time to effect selective reduction of the oxides of nickel cobalt and copper relative to the iron oxide to produce the metallic mixture having a reduced ratio of metallic iron relative to metallic nickel, cobalt and copper. | 10-30-2008 |
20100043598 | PURIFICATION OF PGM SPECIES FROM MIXTURES THEREOF - A process for the production of a purified PGM selected from the group consisting of platinum and rhodium from an impure PGM source, the process comprising (a) obtaining an anhydrous PGM halide from the impure PGM source; (b) treating the PGM halide with carbon monoxide at an effective temperature; pressure and time to form the PGM carbonyl halide; and (c) (i) wherein the PGM is platinum, heating the platinum carbonyl halide at an effective platinum decomposition temperature to produce the purified platinum; (ii) wherein the PGM is rhodium, heating the rhodium halide at an effective rhodium decomposition temperature to produce the purified rhodium; and (iii) wherein the platinum carbonyl carbonyl halide and the rhodium carbonyl halide are in a gaseous mixture, effecting step (i) at a temperature lower than the rhodium effective decomposition temperature prior to effecting step (ii). The process is of particular value in the recovery and recycle of PGM materials from vehicle exhaust catalytic converters. | 02-25-2010 |
20110052481 | METHOD OF TREATING METALLIFERROUS MATERIALS - There is provided a process of treating a metalliferrous material including at least one metal material fraction. Each one of the at least one metal material fraction includes a respective metal, wherein the respective metal is a transition metal. Each one of the at least one metal material fraction also includes a respective first operative material fraction and a respective second operative material fraction. The respective first operative material fraction consists of an elemental form of the respective metal, and the respective second operative material fraction consists of at least one oxide of the respective metal. The method includes providing reagent material including at least one diatomic halogen and at least one aluminium halide. The reagent material is contacted with the metalliferrous material in a reaction zone so as to effect a reactive process which effects production of an intermediate reaction product including at least one produced metal halide. Each one of the at least one produced metal halide includes a respective metal corresponding to the respective metal of a respective one of the at least one metal material fraction. A separation fraction is separated from the intermediate reaction product. The separation fraction includes at least one recovered metal halide. | 03-03-2011 |
20150053049 | PROCESS FOR RECOVERING METALS BY REDUCTION AND CARBONYLATION - A process for treating a feed material composition includes a solid particulate precious metal material-rich feed material composition fraction and a solid particulate rare earth metal material-rich feed material composition fraction, in which the solid particulate precious metal material-rich feed material composition fraction includes one or more precious metals, and in which the solid particulate rare earth metal material-rich feed material composition fraction includes one or more rare earth metals. The process includes contacting the solid particulate feed material composition with a reducing agent within a reducing agent contacting zone to effect production of a reaction intermediate solid particulate material composition. | 02-26-2015 |
Patent application number | Description | Published |
20130096898 | Methods and Systems For Machine - Learning Based Simulation of Flow - There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model that has a plurality of sub regions. A solution surrogate is obtained for a sub region by searching a database of existing solution surrogates to obtain an approximate solution surrogate based on a comparison of physical, geometrical, or numerical parameters of the sub region with physical, geometrical, or numerical parameters associated with the existing surrogate solutions in the database. If an approximate solution surrogate does not exist in the database, the sub region is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the sub region. A machine learning algorithm is used to obtain a new solution surrogate based on the set of training parameters. The hydrocarbon reservoir can be simulated using the solution surrogate obtained for the at least one sub region. | 04-18-2013 |
20130096899 | Methods And Systems For Machine - Learning Based Simulation of Flow - There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of coarse grid cells. The method includes generating a fine grid model corresponding to one of the coarse grid cells and simulating the fine grid model using a training simulation to generate a set of training parameters comprising boundary conditions of the coarse grid cell. A machine learning algorithm may be used to generate, based on the set of training parameters, a coarse scale approximation of a phase permeability of the coarse grid cell. The hydrocarbon reservoir can be simulated using the coarse scale approximation of the effective phase permeability generated for the coarse grid cell. The method also includes generating a data representation of a physical hydrocarbon reservoir in a non-transitory, computer-readable, medium based at least in part on the results of the simulation. | 04-18-2013 |
20130096900 | Methods and Systems For Machine - Learning Based Simulation of Flow - There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of sub regions. At least one of the sub regions is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the at least one sub region. A machine learning algorithm is used to approximate, based on the set of training parameters, an inverse operator of a matrix equation that provides a solution to fluid flow through a porous media. The hydrocarbon reservoir can be simulated using the inverse operator approximated for the at least one sub region. The method also includes generating a data representation of a physical hydrocarbon reservoir can be generated in a non-transitory, computer-readable, medium based, at least in part, on the results of the simulation. | 04-18-2013 |
20130118736 | Methods and Systems For Machine - Learning Based Simulation of Flow - There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model that has a plurality of coarse grid cells. A plurality of fine grid models is generated, wherein each fine grid model corresponds to one of the plurality of coarse grid cells that surround a flux interface. The method also includes simulating the plurality of fine grid models using a training simulation to obtain a set of training parameters, including a potential at each coarse grid cell surrounding the flux interface and a flux across the flux interface. A machine learning algorithm is used to generate a constitutive relationship that provides a solution to fluid flow through the flux interface. The method also includes simulating the hydrocarbon reservoir using the constitutive relationship and generating a data representation of a physical hydrocarbon reservoir in a non-transitory, computer-readable medium based on the results of the simulation. | 05-16-2013 |