Blog

Complexities of Applying AI in Refining

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min read

Implementing AI in refining is complex due to a shortage of expert data scientists and data challenges like "data compression" and unsuitable historians. Successfully capturing the value of AI requires an end-to-end partnership with experts who integrate process knowledge with machine learning. Imubit’s full-service model provides 24/7 maintenance and accountability, maximizing profit and ensuring continuous optimization without burdening in-house teams.

Economic Engineering Update | November 2020

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min read

The second COVID-19 wave increases risks for refiners as lockdowns reduce fuel demand and utilization. With margins expected to remain low and volatile, facilities may face extended maintenance or capacity cuts. In this environment, dynamic yield optimization—such as maximizing FCC and hydrocracker yields while minimizing reformer octane—is no longer just profitable; it is an essential strategy to maximize sellable product and efficiently manage refinery inputs.

Your LP may be giving you a false sense of optimality

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min read

Refinery LP models often provide a false sense of optimality because they are static, linear approximations of complex processes. They struggle with hidden constraints, non-linear units like FCCs, and outdated feedstock data, leading to suboptimal plans. Discover how Imubit’s deep learning solution identifies real-time operating scenarios and provides dynamic, minute-to-minute optimization to overcome these traditional planning limitations.

Economic Engineering Update | October 2020

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The October 2020 update confirms the US distillates market is under severe pressure, trading well below gasoline due to low demand. This price inversion requires refiners to adjust conversion units toward gasoline production and potentially reduce crude rates. Navigating this economic pivot is best achieved with Closed-Loop AI Optimization (AIO) to rebalance product slates. Additionally, rising ethylene prices have helped stabilize ethane cracking margins.

Minimizing Jet Fuel Production in an Existing Refinery

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min read

The COVID-19 pandemic caused a collapse in jet fuel demand, forcing refiners to minimize production. This post explores five strategies to divert kerosene into gasoline and diesel pools through complex, multi-unit fractionation. Because manually balancing these dynamic trade-offs is nearly impossible, Imubit’s Deep Learning Process Control (DLPC) platform provides the real-time, AI-driven optimization needed to maintain profitability during extreme market volatility.

The Right AI Solution: Vertical Domain-Driven or Generic Industry 4.0?

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min read

Generic Industry 4.0 AI vendors often fail to optimize complex processes because they lack domain expertise and struggle with data quality and dynamic environments. While building internal capabilities is difficult to scale, the best approach is a dedicated industry partner. By combining state-of-the-art AI with deep process knowledge, such a partner ensures operator trust, handles noisy data, and delivers sustained economic value through structured, safe deployment.

Welcome to the Imubit Blog

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Imubit is leading the energy and chemical sectors into the future of AI and process optimization. Our team of world-class hydrocarbon experts and machine learning scientists develops novel technologies to solve previously impossible engineering challenges. This blog shares our insights and deployment learnings, covering topics from economic engineering and digitalization to machine learning, helping plants transcend the limits of today’s state-of-the-art solutions.

Economic Engineering Market Update Sept 2020

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min read

The COVID-19 pandemic severely impacted US refining margins, leading to capacity cuts and a permanent drop in jet fuel demand. This created a massive oversupply of ULSD, especially in the Gulf Coast. As storage hits its limits and prices eventually correct, refiners must be prepared to shift to high-conversion operations. Imubit’s AI-powered closed-loop optimization helps processors navigate this volatility and monetize new opportunities through domain expertise and deep learning.

Digitalization & AI in Mining North America 2025—Five Strategic Takeaways

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min read

The Digitalization & AI in Mining 2025 event signaled a shift from experimental pilots to enterprise-scale programs. Key takeaways include prioritizing clear ROI, early cybersecurity integration, maturing digital twins, and the need for "translator" talent. Imubit’s Closed Loop AI Optimization (AIO) addresses these gaps with outcome-first design and secure, explainable models that turn data into throughput and competitive advantage in months, not years.

Why customer retention is the ultimate growth strategy

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min read

Building the right tech stack is essential for any company. This article provides a comprehensive guide on how to choose the best technology infrastructure, highlighting key factors and considerations for an informed decision. Learn about the strategic importance of your tech stack and get a look at the specific tools we use at Technology.

Optimizating your advertising campaigns for higher ROAS

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min read

Building a proper tech stack is essential for organizational success. This guide explores how to choose the right technology for your company, detailing the most relevant factors to consider during the decision-making process. Finally, we provide an inside look at the specific tech stack we use at Technology to maintain peak performance and scalability.

How to optimize page performance using heatmaps

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min read

Building the right tech stack is essential for organizational growth. This article explores the critical process of selecting an effective stack, outlining key steps and factors to consider. From choosing the right components for your company to understanding the most relevant success factors, we detail how to optimize your technology. We also share insights into the specific tech stack we use and how it supports our development goals.

How to build the ultimate tech stack for growth

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min read

Building the right technology stack is essential for a company's success. This guide explores how to choose the best tools for your business needs, outlining key factors and essential questions to consider during the decision-making process. Learn how to align your tech stack with your goals to ensure long-term growth and efficiency.

How to build and automate a referral program

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min read

Building the right tech stack is essential for your company's success. This guide simplifies the selection process, breaking down how to choose the best tools and identifying critical factors to consider. From evaluating relevant technology trends to understanding the specific stack used at Technology, we provide the insights needed to make informed decisions for your organization's future.

4 tips to optimize your funnels for conversion

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min read

Choosing the right technology stack is critical for your company’s success. This guide simplifies the selection process for non-technical readers, highlighting how to choose the best tools and the key factors to consider. Explore essential considerations and gain insights into the specific tech stack used at Technology to help streamline your organization’s digital infrastructure.