Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
233622 | Minerals Engineering | 2012 | 8 Pages |
Industrial mining through the process of heap leaching of low grade ores can be employed in the extraction of a range of base and precious metals, such as copper, gold, silver, nickel, zinc and uranium. The process involves the percolation of a leaching solution, typically cyanide, sulfuric acid or acidic ferric sulfate, through crushed ore interacting with a range of oxide and sulfide minerals. These systems involve a complex suite of interrelated fluid, gas, thermal and chemical reactions. A comprehensive computational model needs to account for variably saturated liquid and gas flow in porous media together with the transport of many species through a continually growing geometry, plus multi-phase heat and mass transfer arising from a range of phase change and gas–liquid–solid chemical reaction processes. A number of computational modeling tools employing CFD technology have been developed for the analysis of metals recovery through stockpile leaching. This contribution describes some of the technologies developed particularly to address the key challenges of modeling a full scale industrial heap. Specifically, a ‘process’ heap model is detailed which captures all the key phenomena of a full 3D heap but with significantly reduced simulation times, and so enables rapid analysis by engineers in an operating environment for evaluating a range of ‘what if’ scenarios in production planning.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A quick ‘process’ heap model is compared against a full 3D ‘virtual’ heap model. ► Calibration and validation of the models are performed for an industrial heap. ► Results show ‘process’ model in good agreement with full model and measured data. ► The ‘process’ model simulation runtime is a fraction of the full heap model. ► ‘Process’ model enables quick ‘what if’ scenarios for optimization and analysis.