The impact of controlling feed quality can be seen in Figure 7 . The deactivation rate in the current catalyst cycle is significantly lower than in earlier catalyst cycles. distillation range for the CDU and other downstream products is crucial as it improves production, product quality, and increases catalyst life, thereby reducing the operating cost of downstream units. However, continuously and steadily controlling the distillation range of these products Conclusion Controlling the is challenging due to constant disturbances, such as changes in crude properties. An AI-based
AGO D95 % recovery temperature
400
380
360
340
320
300
15.9.24
4.11.24
24.12.24
12.2.25
3.4.25
23.5.25
Figure 5 AGO D95% recovery temperature
Product diesel sulphur (ppmw)
20
15
10
5
0
29.11.24 19.12.24
8.1.25
28.1.25
17.2.25
9.3.25
29.3.25
18.4.25
8.5.25
Figure 6 Product diesel sulphur (ppmw)
300.000 312.000 324.000 348.000 336.000 372.000 384.000 396.000 408.000 360.000 420.000
1st Cycle of catalyst
2nd Cycle of catalyst
3rd Cycle of catalyst
inferential prediction model outperforms any other prediction model. Implementing it in a closed loop with an APC in the DCS can significantly improve product quality in upstream units and, consequently, feed quality for downstream units. Best Fit 1 Hour 20-04-2023 14:26:00 09-05-2025 14:56:00 Susanta Sadhukhan sadhukhans001@bharatpetroleum.in Saurabh Gupta saurabhgupta@bharatpetroleum.in Kubade Rk kubaderk@bharatpetroleum.in Nandanwar P T nandanwarpt@bharatpetroleum.in Ajith D ajithd@bharatpetroleum.in
20-02-2017
12:56:00
12-03-2019 13:26:00
31-03-2021 13:56:00
Name
Data Source Map Description
Value Level Status Aut Plot Min Plot Max Units Shift TZ Type Period Method Ste Ext
DHT_RX1_WABT
IP21
IP_ANALOGI Reactor 1 WABT IP.21 is n
300.000 420.000 ˚C 0 0:00:0
Figure 7 Catalyst deactivation trend
developed and taken in closed-loop control in the DCS for continuous monitoring. Significant improvement has been observed in the reduction of DHDT feed stream quality (D95%) and product diesel sulphur content. Benefits achieved Figure 5 shows the CDU AGO D95% recovery temperature after the implementation of AI-based inferential prediction. Figure 6 shows the DHDT product diesel sulphur after the implementation of AI-based inferential prediction. Off-grade product generation has reduced drastically.
Refining India
56
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