Potential Uses

1. Scale Prevention & Control

Use Case:
Industries that utilize boilers, cooling towers, and pipelines frequently encounter scaling issues due to mineral buildup, which can severely impact efficiency and increase operational costs.
Potential Outcomes:
  • Accurate Scale Prediction: By analyzing your water data, AWA simultaneously predicts the likelihood of over 12 relevant types of mineral scales, helping you stay ahead of potential issues.
  • Optimized Chemical Dosing: AWA identifies the primary scaling risks and recommends precise dosages of scale inhibitors, significantly reducing the need for extensive lab testing and cutting associated costs.
  • Prolonged Equipment Life: Effective scale control helps minimize maintenance requirements and extend the operational life of critical assets, reducing downtime and long-term repair costs.
After identifying the factors driving corrosion, AWA recommends a testable inhibitor formulation.

2. Corrosion Monitoring & Mitigation

Use Case:
Industries such as oil and gas, chemical processing, and power generation often face significant challenges with corrosion in carbon steel pipes, heat exchangers, and storage tanks, especially in environments containing CO2, H2S, and saline water.
Potential Outcomes:
  • Risk Reduction: AWA predicts corrosion rates under diverse conditions, enabling you to take preventive actions and apply protective measures before damage occurs.
  • Cost Savings: By proactively addressing corrosion risks, you can minimize costly repairs and equipment replacements, ensuring smoother operations and reduced downtime.
  • Tailored Corrosion Inhibitors: AWA provides expert recommendations on formulations for both batch and continuous application of corrosion inhibitors, optimizing your corrosion control strategy.

3. Inhibitor Modeling

Use Case:
Industries rely on chemical inhibitors to mitigate the risk of mineral scaling and corrosion, safeguarding critical systems and equipment.
Potential Outcomes:
  • Customized Chemical Formulation: AWA's predictive modeling helps you determine optimal inhibitor formulations, using widely available raw inhibitors. These formulations come with dosage suggestions and information on product limitations, ensuring efficient and effective treatment.
  • Improved Testing Efficiency: AWA provides tailored recommendations to help you select and fine-tune treatments, develop specific inhibitor blends, and model the performance of inhibitor packages for targeted applications, reducing the need for extensive trial and error.
Typical corrosion byproducts and scale formation on a surface pipe
After AWA modeling and application of a suggested scale-corrosion inhibitor combination
Dark water quality improves after the addition of an iron scale dissolver

4. Water Treatment Solutions

Use Case:
In industries such as mining, chemical processing, or municipal water management, maintaining high water quality is critical. It directly impacts reaction efficiency, product quality, compliance with metal limits, and the longevity of equipment.
Potential Outcomes:
  • Treatment Recommendations: AWA offers robust predictions, such as managing extreme pH levels in mining operations or chemical processes, ensuring optimal performance, and regulatory compliance.
  • Reduced Downtime: AWA helps identify compatible water streams for mixing, then models the resulting mixtures for either reuse or disposal. By maintaining stable water conditions, AWA reduces costs and minimizes operational disruptions.

5. Virtual Assistant

Use Case:
Professionals often encounter complex challenges, such as selecting the right treatment chemicals, designing formulations, or troubleshooting operational issues. Access to expert-level guidance can transform these challenges into opportunities for improved outcomes and efficiency.
Potential Outcomes:
  • Expert Guidance: Virtual Assistant delivers tailored, expert advice to address your specific water chemistry challenges, providing actionable insights using a chatbot platform.
  • Decision Support: Make confident, data-driven decisions with tools designed to uncover root causes, minimize troubleshooting time, and enhance the speed and accuracy of problem resolution.
  • Chemical Formulation: When system issues require a chemical solution, the Virtual Assistant suggests chemistries and blending ratios to design a chemical solution.

6. Custom Regression Model

Custom regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It helps estimate the relationships between variables and predict the dependent variable. The tool will create a mathematical model based on the historical data and the model is stored in the user dashboard to be reused at any time to make predictions. An example is the use of historical data for the production of ethanol to predict ethanol production at different conditions.

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