Refining India September 2025 Issue

This is a draft document for Refining India m agazine deduced the causes and consequences of such a deviation. In this example, the design intent was defined as ‘the flow rate of process stream STRM04 should not differ from the flow rate of process stream STRM03 by more than 5% ’ . hpad AI companion was then asked to apply the guide word ‘less’ to the design intent and identify the causes and consequences of this deviation. 3. Identifying Existing Safeguards in the Process to Prevent the Deviation hpad AI companion can also identify the control mechanisms existing in the plant which helps prevent the deviation.

which can further help maintain the design intent of the process. It can suggest additional measures to prevent the deviation and deal with its consequences. In the example shown in Figure 6 , it suggested redundant flow meters, high and low flow alarms, automatic shutdown systems, and better control algorithms as some of the additional measures that can be considered. Conclusion HAZOP studies are regularly carried out in process industries to systematically analyse process hazards. However, these studies are resource-intensive and time-consuming, and their effectiveness is also subject to human influences. The AI companion for HAZOP studies is a new tool developed

Figure 12 Identifying the Safeguards Present

4. Suggesting Additional Safeguards

hpad AI companion can also identify the equipment and systems missing in the plant, which can further help in maintaining the design intent of the process. It can suggest additional measures to prevent the deviation and deal with its consequences. In this example , the hpad AI companion suggested redundant flow meters, high & low flow alarms, automatic shutdown systems, better control algorithms, etc. as some of the additional measures that can be considered. Figure 11(a) Defining the Design Intent a nd Applying Guide Word to Analyze the Causes In the above example, the hpad AI companio n identified all relevant causes for the flow rate of the process stream STRM04 to be less than the design intent. Similarly, it also deduced the consequences of this deviation. Figure 5 Defining design intent and applying guide word to analyse causes

Figure 11(b) Analysing the Consequences

Figure 6 Suggesting additional safeguards

by hpad. This AI technology can significantly reduce the time and effort of many kinds of experts required to carry out HAZOP studies. In this case study, AI companion successfully demonstrated that it can dissect the flow description of a manufacturing process to carry out various analyses. It applied a given guide word to the design intent of the process and then analysed and found the causes and consequences of the deviation. It also identified the existing safeguards present in the plant and suggested additional safeguards that can be implemented to maintain the design intent. Thus, this AI technology has shown that it can perform analyses required for HAZOP studies. This new technology can reduce the human effort required to carry out HAZOP studies and speed

up such analyses. This can result in significant savings for industries and free up scarce expert human resources, which are already occupied with critical domain responsibilities. hpad and hpad logo are registered trademarks of hpad, Inc. VIEW REFERENCES Aridaman Singh Ahir aridaman@hpad.ai Rohit Dombi rohit@hpad.ai Harirajan Padmanabhan hari@hpad.ai ©2025 hpad, Inc.

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