DIESEL PRODUCTION

AI platform for diesel production optimization

New Deep Learning Process ControlTM can make diesel production more profitable.
Whether you’ve been producing diesel for years, or are just starting to ramp up diesel production, you need to understand how AI can give diesel producers a competitive edge.

While the ever-changing economic climate makes diesel production more or less attractive on a day-to-day basis, it’s never easy to switch production processes because diesel production is complex. For starters, the ever-varying quality of your feed stock means you have to constantly monitor and adjust your production process to adjust for different crude quality. Your diesel production process is also impacted by equipment disturbances, regulatory and environmental variations.

As such, you are constantly adjusting your process to optimize your diesel production. You have a strong process to vet, prioritize, fund and implement new improvement projects. But there are some processes that are just too dynamic and can’t be modeled or optimized with your current tools.

It’s not possible for diesel producers to capture all the multivariate and dynamic relationships in your linear models. That’s exactly why we built Imubit – the first AI platform built specifically to optimize your diesel production processes.

Our solution – an artificial intelligence (AI) platform for diesel producers – helps you maximize profitability on your diesel production processes. It’s not just any generic AI platform, but next-level artificial intelligence that understands the complexities and nuances of the diesel production process.

Risk-free model

No obligation pilot

Detailed scoping, initial DLPC modeling, closed-loop commissioning, and 3 months of continuous improvement


No upfront expenses

You pay a fixed annual subscription for an all-inclusive DLPC solution and service for your application


See new profit in months

You can be up and running with your first DLPC application running in closed loop in just 4 to 6 months.

Learn about how Imubit’s AI platform helps diesel production leaders discover, engineer and monetize new margin opportunities at your refineries:

Generalized first-principle economic models

for key refining processes like crude mixing and fractionation, conversion and reforming. Each model understands unit constraints, operation modes, feeds, products, and fundamental behaviors of process units.

Steady-state baseline models

that estimate in real time the potential benefit from engaging closed-loop DLPC control. Once DLPC is commissioned in closed-loop, we use the baseline models to assess the value it created over time as well as the potential loss if it were disengaged.

Performance dashboards

let you track the unique KPIs for each AI application, perform economic debottlenecking and constraint analysis. Our dashboards help you devise strategies to adapt to feedstock, equipment and global or regional economic changes.

Process modelling platform:

we run your plant’s historical data through our proprietary technology to analyze your process and regulatory control layer and build your deep learning process control prediction models.

Deep learning process models

with high-dimensional deep learning neural networks capture the hidden governing dynamics between variables in all historized process states and show the relationships between feed properties, key process variables, operational constraints, and economic objectives.

Dynamic relationships visualization

of Monte Carlo simulations on the trained models show the learnt relationships between process model variables as well as model prediction errors, so your process engineers can see and understand how the model works.

Pre-optimized truly dynamic controller

is designed and updated based on your manipulated variables, constraints, objective function, and real-time stream pricing.

Open-loop simulations

let your team visualize the dynamic controller moves and predictions in every desired historical period, run what-if simulations for various operating scenarios, and fully evaluate the controller’s behavior in various operating scenarios before commissioning the controller in closed-loop.

Process control network software

is how we install, configure and continually support your controller inside your air-gapped secure environment. Our on-premise software is fully compliant to process control network cybersecurity and reliability requirements and supports all major DCS vendors.

Control room application

gives operators the ability to directly update controller constraints and move limits, while engineers can update constraint operator ranges and control priorities.

Customizable dashboards:

intuitively customizable chart and matrix-based views make it easy for operators to understand controller status, projected moves, and prediction trajectories. Multi-unit control room dashboards show data across all controllers, all units and every process in one place.

Remote monitoring:

our cyber-secure proprietary remote monitoring technology enables those not in the control room to run safe cloud-based simulations and analyses on your production data. No data is ever transmitted into your control network.
Imubit’s team understands what we’re trying to do from an operating and an economics perspective. Their Deep Learning Process ControlTM technology and their approach have aligned everyone from planning and operations around a shared goal of maximizing diesel production profits.”
Ready to learn more about the Imubit Closed Loop Neural Network™?
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