Now live: a hybrid process digital twin for amine gas sweetening — it names the fault and the root cause, not just the alarm. Request a demo →

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Research

Study your plant like a research team would.

Research plans its own investigation, then runs it. It calls the other tools for plant evidence, reads the open internet for industry practice, and writes one report: the answer, what the plant shows, what the industry shows, where the evidence runs out, and what to do next.

3Depths: 4, 8 or 12 steps
7Plant sources it can call
1Report, with every source listed
0Plant numbers it invents

MVPEvery figure above is counted in the minimum viable product: the amine train modelled for gas sweetening and post-combustion carbon capture.

What it does

Four things it does that a dashboard does not.

01

It plans first

Every run starts with an objective and a list of steps, shown on screen before any evidence is gathered.

02

Plant evidence from the real tools

Detect, Predict, Report, Log, Run, the recorded history and the plant knowledge base are called exactly as their own pages call them, so Research never disagrees with them.

03

Industry evidence from the internet

Web search adds published practice and benchmarks, and every source is listed with its link.

04

A report, not a chat

The answer, the plant view, the industry view, the limits of the evidence, actions and next steps. Printable.

How it works

The pipeline, end to end.

  1. 1

    Ask a question

    Choose Quick, Standard or Deep for how many steps the run may spend.

  2. 2

    Plan

    The objective and the steps are written first.

  3. 3

    Gather evidence

    Each step calls one plant tool or the internet and keeps a short summary.

  4. 4

    Write the report

    All evidence becomes one document, with its sources.

Where it applies

Built for amine systems today. Not limited to them by design.

The platform is focused on acid gas removal — gas sweetening and post-combustion carbon capture — because that is where the model is calibrated and where the fault library is real. The method underneath is not amine-specific: a physics reference model, residuals against expected-healthy, fuzzy diagnosis over graded indicators, and costed consequences. Extending it to another unit means new datasheets and a new calibration, not a new platform.

  • Gas sweeteningLive today
  • Post-combustion carbon captureLive today
  • Other acid gas removalMethod applies
  • Wider process unitsFuture

The fastest way to judge this is to open it.

The platform runs on a real amine train with thirteen days of one-minute history behind it. Nothing on these pages is a mock-up.

Open the platform