3
Feasibility studies
CO₂ capture and gas sweetening
2
Model types
Steady-state and dynamic

Case Studies

Three feasibility studies built on steady-state and dynamic process models. The outcomes below are each study's aims, not measured plant results.

CCU01 - Amine Absorption Tower

Feasibility study
Amine Scrubbing CO₂ Capture UnitSteady State Modeling

Challenge

Optimize amine absorption tower performance for CO₂ capture while providing immersive visualization for engineering analysis and stakeholder communication.

Solution

Developed a steady-state process model of the absorption column, with document Q&A and 3D scene viewing for design review.

Study Aims

  • Study solvent circulation rates with steady-state analysis
  • Answer engineering questions from project documents
  • Review the column as a 3D scene
Digital TwiniQueryiReality
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CCU 01 - Amine Absorption Plant

Feasibility study
Integrated Amine Scrubbing CO₂ Capture Entire PlantSteady State Modeling

Challenge

Model the complete carbon capture plant including absorber, stripper, heat exchangers, and compression systems to optimize plant-wide operations and train operators effectively.

Solution

Built a steady-state process model of the whole CCU train, with document Q&A and an operator training scenario set.

Study Aims

  • Study plant-wide operating options on one steady-state model
  • Answer engineering questions from project documents
  • Prepare operator training scenarios
Digital TwiniQueryOTS
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GSU 01 - Amine Absorption Tower

Feasibility study
Gas Sweetening UnitSteady State & Dynamic Modeling

Challenge

Capture both steady-state performance and dynamic transient behavior of the gas sweetening unit to ensure safe operations during startups, shutdowns, and load changes.

Solution

Built steady-state and dynamic process models, with OTS scenarios for start-ups, shutdowns and load changes.

Study Aims

  • Understand the unit with steady-state and dynamic models
  • Aim: shorter start-ups through OTS-based practice
  • Answer engineering questions from project documents
Digital TwinOTSiQuery
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Our Delivery Process

Requirements Analysis

1

Understanding the specific needs and objectives of our client

Data Collection

2

Gathering comprehensive operational data from plant systems

Feature Development

3

Building the platform features tailored to project requirements

Model Calibration

4

Using real-world data to calibrate and tune the models

Testing & Approval

5

Rigorous testing and client approval before deployment

Launch

6

Deploying the solution into the production environment

Support & Improvement

7

Ongoing support and continuous improvement over time

Ready to Explore What's Possible?

These feasibility studies show what a process model can support. Tell us about your plant and what you want to study.