Artificial Intelligence Methods Applied to Catalytic Cracking Processes
Fluidic Catalytic Cracking (FCC) is a complex petrochemical process affected by many highly non-linear and interrelated factors. Product yield analysis, flue gas desulfurization prediction, and abnormal condition warning are several key research directions in FCC. This paper will sort out the releva...
Saved in:
Main Authors: | Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2023-09-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020002 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Synergetic effects of nano-boehmite and Y nano-zeolite on catalytic cracking of residue oil
by: Ehsan Amini, et al.
Published: (2025-01-01) -
An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm
by: Zhiqing Zhang, et al.
Published: (2025-04-01) -
Investigation on the Hydrothermal Condition in Synthesis of Active Matrix from Metakaolin: Physicochemical Properties and Intrinsic Cracking Activities
by: Farhansyah Yusuf Putra Hudaya, et al.
Published: (2024-10-01) -
Catalytic Synthesis of Diethyl Carbonate from Carbon Dioxide using Catalyst KI/EtONa with Propylene Oxide as Dehydration Agent and Process Optimization Based on Box-Behnken Design
by: Lintang Alivia Anggerta, et al.
Published: (2025-01-01) -
An Algorithm to Develop Lumped Model for Gunn-Diode Dynamics
by: Umesh Kumar
Published: (1998-01-01)