Reactive Transport Modeling for CO2+O2 Uranium In-Situ Leaching

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Solution Overview

Problem

There is a lack of systematic studies and precision control techniques for the dynamic process of in-situ leaching well fields in uranium mining, particularly for low-permeability, high-carbonate, hyper-salinity sandstone-type uranium deposits, which involve complex nonlinear reactive solute transport systems during CO2+O2 leaching, necessitating improved numerical simulation methods for accurate prediction and control.

Innovation Solution

A method involving data collection, hydrodynamic modeling, reactive solute transport modeling, and geochemical reaction network establishment, using TOUGHREACT-V3/EOS9, to simulate and control the CO2+O2 in-situ leaching process, incorporating a thermodynamic database and reaction rate equations to account for the complexity of the multi-field coupling processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If numerical simulation is used to study the complex multi-field coupled nonlinear leaching system, then prediction accuracy of leaching process is improved, but model complexity and computational difficulty increase

Engineering Contradiction:
Improveprediction accuracyVSAvoidmodel complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The complex leaching system is segmented into three distinct but coupled modules: seepage flow field (governed by Richards' equation), solute transport field (governed by advection-dispersion equation), and chemical reaction field (governed by reactive transport equations). Each module is modeled separately with its own governing equations and parameters, then coupled through iterative numerical solution. This segmentation allows the complex system to be broken down into manageable components while maintaining the ability to predict overall leaching process accurately.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A thermodynamic database serves as an intermediary component that bridges the chemical reaction field and the other fields. The database contains equilibrium constants, reaction kinetics, and mineralogical data that mediate the complex chemical reactions between leaching solution and ore minerals. This intermediary structure allows accurate representation of chemical processes without requiring direct modeling of every molecular interaction, thus improving prediction accuracy while managing model complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Manufacturing precision

If three-dimensional (3D) modeling of groundwater flow and reactive solute transport is implemented, then simulation accuracy of dynamic leaching process is improved, but computational cost and data requirements increase

Engineering Contradiction:
Improvesimulation accuracyVSAvoiddata requirements
Core Design Contradiction:
Manufacturing precisionVSQuantity of substance

Solution Approach 1:

A comprehensive thermodynamic database is established in advance before the actual 3D numerical simulation. This database pre-compiles equilibrium constants, reaction kinetics parameters, mineralogical compositions, and other chemical data required for the simulation. By performing this preliminary action, the actual simulation process can proceed efficiently without needing to calculate or retrieve this fundamental data repeatedly, thus reducing computational cost and data management burden while maintaining high simulation accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The model employs parameterization strategies where complex geochemical processes are represented through simplified parameter relationships. For example, instead of modeling every individual chemical reaction in detail, the system uses effective reaction rate constants and equilibrium constants that capture the net effect of complex mineral-water interactions. This parameter change approach maintains simulation accuracy while significantly reducing the quantity of detailed data required and lowering computational demands.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If the complex coupling process of fluid transport and geochemical reactions is studied, then understanding of reactive solute transport is improved, but research difficulty and time consumption increase

Engineering Contradiction:
Improveunderstanding accuracyVSAvoidresearch time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The numerical simulation model implements continuous iterative solving of the coupled seepage-flow, solute-transport, and chemical-reaction equations. Rather than solving each field separately in discrete steps, the model maintains continuous coupling through iterative numerical methods (such as coupled finite element/finite difference approaches), allowing the system to naturally converge to the correct solution. This continuous action approach improves understanding accuracy by capturing the true coupled behavior of the system while reducing research time compared to repeated separate modeling and manual iteration.

Inventive Principle:
Principle #20Continuity of useful action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables accurate simulation and dynamic control of the CO2+O2 in-situ leaching process, improving numerical simulation performance and providing technical support for sustainable uranium mining.

Implementation Method 1

CO2+O2 in-situ leaching of uranium

Methodology Applied
Scientific EffectDissolution: Solvation

Implementation Method 2

CO2+H2O=H2CO3

Methodology Applied
Scientific EffectCarbonic acid formation: Hydrolysis

Implementation Method 3

solute dispersion field in low-permeability heterogeneous media

Methodology Applied
Scientific EffectAdvection: Advection

Implementation Method 4

solute dispersion field

Methodology Applied
Scientific EffectDiffusion: Diffusion

Implementation Method 5

dynamic reaction process of uranium dissolution under combined action of O2 (aq) and bicarbonate HCO3−

Methodology Applied
Scientific EffectOxidation: Oxidation

Implementation Method 6

hydrodynamics characteristics

Methodology Applied
Scientific EffectThermal conduction: Conduction (thermal)

Implementation Method 7

seepage dynamic field in rock pores

Methodology Applied
Scientific EffectDarcy flow: Pressure Gradient

Data Source

PatentUS12559821B2Method for numerical simulation of reactive transport during CO<sub>2</sub>+O<sub>2 </sub>in-situ leaching of uranium at sandstone-type uranium deposit
Publication Date: 2026.02.24 NANJING UNIV
  • US12559821B2 patent drawing
  • US12559821B2 patent drawing
  • US12559821B2 patent drawing

AI summary

The present disclosure provides a method for numerical simulation of reactive transport during CO2+O2 in-situ leaching of uranium at a sandstone-type uranium deposit. Unlike the traditional method for numerical simulation of solute transport during in-situ leaching of uranium with consideration of only convection and diffusion, the method permits establishment of a multi-field coupled reactive solute transport model to simulate the dynamic leaching process of a sandstone-type uranium deposit in Northern China. The method provided in the present disclosure includes: creating a thermodynamic database suitable for CO2+O2 leaching of a sandstone-type uranium deposit in Northern China, and with consideration of the dynamic reaction process of uranium dissolution under combined action of oxygen O2 (aq) and bicarbonate HCO3−, performing numerical simulation of reactive transport during CO2+O2 in-situ leaching of uranium using a TOUGHREACT simulation technology framework.