DESIGN MODELING

Model the system before you quote it.

Test makeup sources, cycles, materials, and treatment strategies against predicted scale, corrosion, and thermal penalty — before you bid the program and before the first drum is delivered.

WHAT IT ACTUALLY DOES

What it actually does

  • Feed water scenario comparison

    Compare well vs surface vs reclaimed vs blend before you quote a makeup strategy.

  • Cycle limits by mineral

    Set cycles of concentration by the mineral that actually limits you — not a rule of thumb.

  • Material selection

    Screen materials against the predicted corrosion regime for the operating envelope.

  • Treatment strategy trade-offs

    Compare treatment strategies against predicted scale, corrosion, and inhibitor demand.

  • Pretreatment sizing

    Side-stream, softening, and pretreatment sizing against the chemistry that will show up at the asset.

  • Exchanger duty under fouling

    Heat exchanger duty under predicted fouling — not clean-tube nameplate alone.

AI LAYER

AI-driven scenario search

Search across feed sources, treatment strategies, and equipment configurations using batch solving, and return a ranked set with the chemistry behind each option — not a black-box score. Every ranked design cites residual and provenance from the physical chemistry solver.

How the AI layer works →

HOW IT WORKS

From scenario to basis of design

  1. Define scenarios

    Define makeup sources, cycle targets, materials, and treatment options as comparable cases.

  2. Batch solve

    Run sensitivity sweeps enabled by batch solving across the composition and temperature envelope.

  3. Compare risks

    Compare predicted scale, corrosion, deposition, and thermal penalty across cases.

  4. Document

    Produce outputs suitable for a bid package or basis-of-design document — with residual and provenance retained.

OUTPUTS

What you get out

  • Side-by-side makeup and cycle scenario results
  • Mineral-limited cycle recommendations
  • Corrosion-regime context for material selection
  • Treatment and pretreatment trade-off tables
  • Fouling-aware exchanger duty estimates
  • Sensitivity sweeps suitable for basis-of-design packages

WHO THIS IS FOR

Who this is for

  • Technical directors modeling a system before they quote or bid the program
  • Account teams evaluating reclaimed or blended makeup sources for a customer
  • Proposal teams that need chemistry in the bid package, not after the award
  • OEMs and EPCs who want scenario depth without building a solver

Model the system before you bid.

30-minute technical walkthrough — bring a makeup analysis and a proposed cycle target.