PdM for Chemical Processing

Ensuring safety and uptime for chemical processing

Chemical processing facilities include unique machinery types that are as susceptible as other industrial machinery to failure and unplanned downtime, with the added risk of environmental impact.  Effectively implemented PdM solutions can mitigate both operating and environmental risk.

Though simulation and optimization techniques have been applied to chemical processes for quite some time, the last decade has not seen much improvement in operational efficiency in chemical plants. We’re here to change that and bring chemical plants to the forefront of modernization.

We can bring step function improvements in equipment utilization and overall process and operational efficiency using: plant data, asset data and operational data. Advanced capabilities in capturing, storing, processing, and analyzing together with the use of advanced machine learning algorithms predict and prescribe actions for each data set.

Symphony Industrial AI’s solutions provide the following benefits to Chemical plant operations:

Predictive Asset Management

Maximize asset utilization and minimize unplanned downtime.

Our proprietary AI & IIoT solutions predict failures, can improve availability of equipment, and more.

Schedule a demo to learn more about how we can ensure your equipment utilization is optimized.

Process Management and Control

Minimize production variability and improve quality

Experience what Symphony Industrial.AI can do for your processes using the equipment already in use. Our simple to use services are made to work on the devices you have.

Schedule a demo to experience the controls our solutions can provide.

Energy Management

Reduce energy costs by predicting energy inefficiencies and recommending alternatives.

Experience what Symphony Industrial.AI can do for your processes using the equipment already in use. Our simple to use services are made to work on the devices you have. Schedule a demo to experience the controls our solutions can provide.

Schedule a demo to learn about the power of our solutions.

Case Study: PetroChemicals

Situation

Foresight into pending equipment health issues enables more proactive operations and reduced unplanned downtime. But process “trips” ride above even healthy equipment. A PetroChemical plant was experiencing 2-3 process trips/year.

Solution

As KBR’s strategic AI partner, we collaborated to incorporate KBR’s process expertise into an SI.AI’s process template and AI/Machine Learning algorithms to produce real-time, advanced detection of process condition anomalies across multiple data streams.

Results

“As a whole, the energy sector reported the highest share of [digital] laggards among all surveyed industries: 61%. On the other hand, O&G players reported the greatest aspiration for data platforms and infrastructure and data and analytics governance by 2020.”

BCG study, June 2018

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