chemical modelling and treatment pathways
Laboratory Services

Chemical Modelling for Industrial Water Projects

Reliable chemical control for high-performance water systems

Chemical Modelling, Microbiology, and Genomics Laboratory Services

Our performance approach to chemical modelling

Connecting reaction chemistry to treatment and process decisions

Each model starts with the decision it needs to support and the chemical conditions capable of changing that decision. Analytical data are reconciled against charge balance, detection limits, sampling conditions, and known data gaps before suitable thermodynamic databases, reaction assumptions, and model boundaries are established.

Sensitivity and scenario analysis then test how predicted behaviour responds to changes in water composition, pH, temperature, oxidation state, concentration, loading, and reagent addition. Results are interpreted within the limitations of the available data and modelling basis, then transferred into technology evaluation, testing requirements, design criteria, material considerations, residuals planning, and regulatory interpretation. This creates a traceable chemical basis that can be updated as the treatment concept and site understanding mature.

Chemical Modelling, Microbiology, and Genomics Laboratory Services
service outcomes

Reduced chemical uncertainty

Our chemical modelling services help project developers convert assumed behavior into defined limits that can be tested against feasibility, treatment selection, and regulatory expectations before decisions become difficult to reverse.

Chemical Modelling, Microbiology, and Genomics Laboratory Services
sustained performance

Preserving interpretive clarity over time

Chemical behavior can evolve over time as systems develop, conditions change, and new data becomes available. Chemical modelling outputs are stored and documented to clearly describe their derivation, assumptions, sensitivities, and uncertainty, allowing future teams to understand how conclusions were reached and where their limits apply.

This enables core chemical understanding to be carried forward, revisited, or stress tested as new data is collected, without treating early modelling as fixed truth or discarding it when conditions change.

Chemical Modelling, Microbiology, and Genomics Laboratory Services

explore our latest projects

gbbr performance assessment and technology readiness evaluation
Mining Water Infrastructure Development and Equipment
In Situ Ammonia Treatment Feasibility Evaluation and Barrel Trails
Mine Constructed Wetland Treatment System Pilot Testing and Expert Panel Review
Mine Water Treatment Plant Permit Application Amendment Engineering Support
Pit Lake Treatment Bench Trials and Technology Readiness Assessment
Equipment-Landscape-14
Thermal Heavy Oil Facility Water Process Optimization

Nitrate and Selenium Treatment Performance Review for Gravel Bed Bioreactor (GBBR) Retrofit

Integrated Sustainability assessed conversion of existing biochemical reactor basins to gravel bed bioreactors for nitrate and selenium treatment, including performance modelling and technology readiness evaluation.

Canada’s 1st Commercial-Scale moving bed bioreactor (MBBR) Treating Selenium and Nitrate at 520 gpm

Integrated Sustainability delivered Canada’s first commercial-scale moving bed biofilm reactor (MBBR) system for selenium and nitrate removal from mine effluent. Full-service design, equipment supply, and field engineering supported a 520 gpm facility.

Laboratory Trials Validating In Situ Ammonia Assimilation in Tailings Pond

Integrated Sustainability evaluated in situ ammonia treatment for mine tailings through feasibility assessment and barrel-scale testing, refining dosing, treatment timeframes, and geochemical effects for scale-up.

Design, Construction and Operation of Passive Water Treatment System

Integrated Sustainability designed and operated a year-long constructed wetland treatment pilot, validating performance under updated site conditions and supporting regulatory review ahead of demonstration-scale deployment.

High Density Sludge and Biological Treatment Design for Metals and Nitrogen Control Permitting

Integrated Sustainability completed conceptual design of a mine water treatment plant for a Joint Permit Amendment Application, integrating metals removal, biological nitrogen treatment, and existing nanofiltration.

Biogeochemical Treatment Trials for Molybdenum and Uranium in Pit Lakes

Integrated Sustainability evaluated in situ biogeochemical treatment for molybdenum and uranium in pit lakes, advancing technology readiness through bench-scale trials and generating design inputs for field-scale implementation.

20+ Modular H2S Scavenger Packages Design and Delivered to US & Canadian Clients

Integrated Sustainability has designed/built over 20 H2S scavenging skids, including 2 of the largest H2S scavenging skid packages in Alberta with each skid having the capacity to treat up to 10,000 ppm of total sulfur content.

Water Treatment Optimization for Steam Generation at a Thermal Heavy Oil Facility

Integrated Sustainability optimized water treatment for a thermal heavy oil steam generation facility, providing ongoing technical support for startup, water quality, and system performance.
Geotechnical Design

What type of chemical model does my project require?

The appropriate model depends on the decision being supported. Equilibrium and speciation models evaluate chemical forms, saturation, and precipitation potential; mass-balance and mixing models evaluate changes between water streams or process stages; and kinetic or reactive-transport models are used when reaction rates, flow, or spatial changes are important. We select the simplest fit-for-purpose approach that adequately represents the relevant chemistry and uncertainty.

What analytical data are needed before modelling can begin?

Requirements depend on the modelling objective but commonly include pH, temperature, alkalinity or acidity, major ions, dissolved and total constituents of concern, and information on reagents, solids, organic matter, and operating conditions. Input data are reviewed for completeness, detection limits, ionic charge balance where applicable, and consistency with the sampling and process conditions before modelling begins.

Can modelling estimate scaling, precipitation, reagent demand, or residuals generation?

Yes. Modelling can identify saturation conditions, potential mineral phases, approximate stoichiometric reagent demand, and the conditions under which residuals may form. However, actual precipitation rates, solid characteristics, settling behaviour, and reagent efficiency may be affected by kinetics and non-ideal system behaviour and often require laboratory or pilot-scale confirmation.

How are model predictions calibrated or verified?

Predictions are evaluated against available laboratory, field, or operational data, including observed water chemistry, mass balances, precipitate formation, and treatment response. Assumptions and model inputs are refined where justified, and unresolved differences are documented as uncertainty or used to define additional testing requirements.

When should chemical modelling be undertaken?

Chemical modelling is most valuable during initial characterization and treatment selection, before process, equipment, residuals-management, or permitting assumptions are fixed. It should be revisited when feedwater chemistry, operating conditions, reagent strategy, discharge requirements, or the treatment configuration changes.

Does this replace laboratory testing?

No. Modelling identifies plausible reactions, sensitivities, and operating envelopes, while laboratory and field testing evaluate kinetics, non-equilibrium behaviour, precipitate formation, sorption, biological effects, and other site-specific responses. The strongest programs use modelling and testing iteratively.

How is uncertainty addressed?

Uncertainty is evaluated through input-data review, sensitivity and scenario analysis, alternative chemical assumptions, and comparison with laboratory or field observations. Results identify the applicable range, important assumptions, database and model limitations, and the conditions requiring additional characterization or testing.

Can a model be applied to different waters or operating conditions?

A modelling framework may be reusable, but its results are specific to the input chemistry and defined conditions. Transfer to another water or process requires reassessment of ionic composition, concentration, temperature, redox conditions, solids, organics, gas exchange, reagent additions, and the selected reaction basis.

Can results support regulatory submissions?

Yes, when the model purpose, input-data provenance, software and database versions, assumptions, calibration, sensitivity analysis, and limitations are clearly documented. Regulatory acceptance remains application- and jurisdiction-specific and may require site-specific laboratory or field validation.

Lifecycle Accountability for Industrial Water Assets

Combine deep technical expertise with execution and operational experience

Complex and high-consequence industrial projects require a practical mindset to enable agile development and positive environmental outcomes.

Our vertically integrated water services platform combines science, engineering, equipment fabrication, and operations to provide fit-for-purpose assets that drive accountability and performance.

bg-cta-service

Test early chemical assumptions

Engage with our specialists to clarify whether chemical behaviour could shape feasibility, treatment pathways, or regulatory confidence.