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Knowledge Accelerators for Agentic AI – Revolutionizing AI for the Chemical, Process & Oil & Gas Industries.

Powered by Amazon Bedrock & Neptune The chemical and process industries are undergoing a transformation driven by artificial intelligence (AI). Traditional AI and machine learning models have supported industrial operations, but their lack of contextual awareness and limited decision-making capabilities have restricted their impact.

Use Cases

Pilot Scale Resin Reactor

Comparing the performance of the existing Pilot Scale test reactor and Large Scale reactors in order to scale up the performance improvement observed in Pilot Scale reactor using Computational Flow Modeling. (CFD)

Use Cases

CFD Analysis of a Neutralization Tank

Design new impeller system and other elements in the tank, further studying the flow profile and the effect of acid mixing on certain Parameters.

Use Cases

Heat Exchangers Performance Monitoring

Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...

Use Cases

Directional Solidification

Directional Solidification System (DSS) was to be designed complex interaction between fluid dynamics and heat transfer and the crystal growth. Several challenges faced during complex formulation were phase change, Unsteady flow with multiple components, Heat Transfer with Radiation effects, Natural Convection over the melt surface, Mildly turbulent flows.

Use Cases

CO & Nox Prediction for Boiler - Energy Sustainability

Effective prediction of NOx and CO emissions from boilers is crucial for regulatory compliance and environmental protection. Key process parameters (KPIs) correlated with emission levels include combustion temperature, fuel composition, air-to-fuel ratio, and flue gas recirculation rates. By analyzing both historic and real-time data, it is possible to predict NOx and CO emissions accurately. This...

Use Cases

Mixing Studies

Embark on a journey into the heart of our technological expertise, Mixing Facility. In the realm of the Chemical sector, optimizing tank configurations for increased yields is paramount. Challenges arise in determining the optimum configuration of mixing tanks, selecting the appropriate impeller type, impeller position, and impeller clearance to enhance yields through the mixing process without ge...

Use Cases

Development of gas void fraction sensor system

The measurement and knowledge of in situ gas volume fraction becomes very important while studying in gas-liquid systems. Although measurement of overall gas hold up is fairly straight forward, measuring local gas hold up is not trivial.

Use Cases

Foam Transportation Loop

In the realm of multiphase flow dynamics, understanding the intricate behavior of foams is essential for numerous industrial applications, particularly in the oil and gas sector. Tridiagonal's Foam Transport Facility stands at the forefront of this research, providing a state-of-the-art platform designed to delve into the complexities of foam generation and breaking mechanisms. This facility featu...

Use Cases

Aeration and foaming during bottle filling

Aeration and foaming occur during bottle filling process causes spillage of material leading to loss of material and less filling. Experiments were carried to gain more insight into fundamental mechanical of aeration and foaming during bottle filling.

Use Cases

Liquid metal Transport

Mercury migrates from source rocks, metal-rich fluids, oil producing organisms and it accumulates in oil & gas pipeline. Mercury pollutes the marine eco-system by biomagnification and corrodes the pipeline.

Use Cases

Impeller Design – PSD

The flow in the existing impeller was simulated, numerous designs of the impeller were evolved and critically studied, the strain rate and Particle size distribution (PSD) were plotted and studies for numerous designs of the impeller and the configuration with better PSD were suggested.

Use Cases

Polymerization Reactor

Suggesting suitable Design Modifications and tracking the strain rate distribution with respect to PSD, Boosting the overall performance of the Reactor

Use Cases

Neutralization Tank

Design new impeller system and other elements in the tank, further studying the flow profile and the effect of acid mixing on certain Parameters.

Use Cases

Prediction of power output in natural gas-fired power generation plant

Predicting power output in natural gas-fired peaker power plants is critical due to their intermittent operation and high economic significance. These plants, which supply power sporadically and at a premium price, pose a unique challenge for grid operators. We aim to forecast power output based on environmental conditions, enabling more informed decisions about plant activation and power purchasi...

Use Cases

Cooling Tower Health Monitoring

Unlocking efficiency in cooling tower operations entails understanding the interplay between temperature signals and equipment power. This analysis delves into identifying which temperature signals significantly impact power consumption, paving the way for predictive modeling to optimize compressor power.

Use Cases

Predicting CO and NOx emissions from turbines

In the realm of gas turbines, predicting emissions of carbon monoxide (CO) and nitrogen oxides (NOx) holds significant importance for regulatory compliance and environmental stewardship. This project focuses on developing predictive models that can accurately forecast CO and NOx emissions from gas turbines under varying operating conditions. By analyzing key factors such as combustion temperature,...

Use Cases

Debutanizer Column (Distillation Column) monitoring

Effective monitoring of a debutanizer column is essential for maximizing the LPG content in the top product and optimizing overall distillation performance. Continuous monitoring of the C4 fraction in the bottom products ensures process efficiency and quality control. Implementing a predictive model to estimate the butane fraction in the bottoms enhances performance by allowing for real-time adjus...