Saturated aqueous solutions in Potash industry. Modeling of - - PowerPoint PPT Presentation

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Saturated aqueous solutions in Potash industry. Modeling of - - PowerPoint PPT Presentation

Saturated aqueous solutions in Potash industry. Modeling of properties and composition Sergei Panasiuk, Ph.D. Chief mineral process specialist WorleyParsons Canada, Minerals & Metals Potash any potassium compound (KCl


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 Saturated aqueous solutions in Potash

  • industry. Modeling of properties and composition

 Sergei Panasiuk, Ph.D.

Chief mineral process specialist

WorleyParsons Canada, Minerals & Metals

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 Potash – any potassium compound (KCl – most common).  Potash = “pot ashes” old method of making K2CO3 by

leaching of wood ashes, evaporating the resulting solution in iron pots.

 The first U.S patent issued in 1790 and sighed by G.

  • Washington. “in the making of Pot ash … by new Apparatus

and Process”.

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Samuel Hopkins “…making of Pot ash and Pearl ash by a new Apparatus and Process”

In 1791, Government of Lower Canada (Quebec) issued “letter of reward” to Hopkins for his improved method. Regarded as the first “patent” issued in Canada.

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Potassium minerals

Mineral Composition K2O, % Chlorides:

Sylvinite KCl · NaCl mixture 28 Sylvite KCl 63 Carnalite KCl · MgCl2 · H2O 17 Kainite 4KCl · 4MgSO4 · 11H2O 19 Hanksite KCl · 9Na2SO4 · 2Na2CO3 3

Sulphates:

Polyhalite K2SO4 · 2MgSO4 · 2CaSO4 · 2H2O 16 Langeinite K2SO4 · 2MgSO4 23 Leonite K2SO4 · MgSO4 · 4H2O 26 Schoenite K2SO4 · MgSO4 · 6H2O 23 Krugite K2SO4 · MgSO4 · 4CaSO4 · 2H2O 11 Glaserite 3K2SO4 · Na2SO4 43 Syngenite K2SO4 · CaSO4 · H2O 29 Aphthitalite (K,Na)2SO4· 30 Kalinite KAl(SO4)2 · 11H2O 10 Alunite K2Al6(OH)12 · (SO4)4 11

Nitrates:

Niter KNO3 47

Mines (Canada, USA, Russia) - 96% Evaporating ponds (USA, Jordan, Israel) - 3% NEW

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Potash deposits composition

Dead Sea KCl·NaCl K2SO4·2MgSO4 Seawater

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KCl-NaCl mining 1000m deep

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Surface mining Dead Sea

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Block Flow Diagram – Potash Solution Mine

Solubility:

  • Flotation (salts and amines)
  • U/G solution mining
  • Brine evaporation
  • KCl crystallization
  • Brine U/G injection

Density:

  • U/G solution mining
  • Evaporation/crystallization
  • Brine U/G injection

Vapor pressure and composition:

  • Evaporation/crystallization
  • Exhaust gas scrubbers
  • Dryers

Boiling point elevation:

  • Evaporation/crystallization
  • Dryers
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KC l- NaCl - MgCl2 - H2O

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METSIM(PFD KCl centrifuges)

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METSIM solubility equilibrium

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METSIM – Equilibrium functions

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KC l- NaCl - H2O

OLI NaCls KCls NaCl – KCl invariant

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KC l- NaCl - H2O

5 10 15 20 25 30 35 5 10 15 20 25 30 35 40

NaCl, weight % KCl, weight %

OLI data

0C 25C 50C 75C 100C 150C NaCl KCl NaCl + KCl

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KC l- NaCl -H2O invariant solubility

NaCl KCl

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Solution mine

NaCl saturated KCl depleted KCl -NaCl NaCl NaCl 65 °C 55 °C NaCl saturated KCl saturated 1500 m depth

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Solution mine

NaCl KCl ΔC (KCl)

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Solution mine with evaporaton

NaCl KCl ΔC (KCl) ΔC (NaCl) ΔCevp (KCl)

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Saskatchewan solution mine

NaCl KCl ΔC (KCl) ΔC (NaCl) ΔCevp (KCl) ΔCfr (KCl)

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KC l- NaCl - MgCl2 - H2O

NaCl + KCl 100 g/ L MgCl2 20 g/ L MgCl2 0 g/ L MgCl2

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KC l- NaCl - CaSO4 - H2O

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pH of vapor condensate

Vapor: HCl-H2O

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No problems?

OLI predicts proper pH for the vapor condensate from evaporators but not for dryers.

1

MgCl2·2H2O = MgOHCl + HCl + H2O t > 135 °C

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Problem 2

NaCl saturated KCl depleted KCl -NaCl NaCl NaCl 65 °C 55 °C NaCl saturated KCl saturated 1500 m depth

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Oversaturation

Reality - >10% undersaturation for KCl

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Problem 3. Complexity

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Process Flow Diagrams (Dryers)

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Dynamic process simulation

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Conclusions:

  • Potash industry requires accurate prediction of solubility in system

K-Na-Mg-Cl-SO4-H2O system

  • Predictions of the brine density, boiling point elevation, viscosity,

vapor pressure and compositions are also very important

  • METSIM uses polynomial functions to approximate some of the

brine parameters

  • OLI is capable to predict all required brine properties in the wide

range of conditions

  • OLI and METSIM predictions of the brine properties are very

similar in the narrow range of the most common potash industry applications.

  • Computer simulation of the large industrial projects requires to use

some simplifications of OLI approach