Heat exchanger fouling has been studied for some time in the petroleum industry. As understanding of fouling dynamics and mitigation methods improves, refinery fouling mitigation strategies are changing. The implications of deposit aging in refinery units have not been addressed in detail: aging refers to where the deposit undergoes physical and chemical conversion over time. In the 2009 Heat Exchanger Fouling and Cleaning conference, Wilson et al. [Ageing: Looking back and looking forward] presented a simple framework illustrating how deposit aging impacts heat exchanger thermal and hydraulic performance. This paper presents insights into deposit aging gained from analysis of refinery monitoring data. Two case studies are presented: (i) on...
Process fouling and the penalties associated with it in petroleum refinery, particularly in the crud...
Fouling of heat exchangers in crude preheat trains is a major refinery operations business factor. I...
Crude oil fouling models have greatly improved in the past two decades. However, most models focus o...
Heat exchanger network (HEN) fouling is an endemic operational challenge prevalent in many process i...
Funder: University of CambridgeAbstract: Fouling is an acute problem in crude oil preheat train heat...
Traditional heat exchanger monitoring methodologies rely on fouling resistance calculations that neg...
A complete, systematic approach is presented for the analysis and characterization of fouling and cl...
Crude oil fouling is typically treated in the literature as a phenomenon involving the deposition of...
Fouling rates in refinery heat exchangers with mixed organic/inorganic deposits (frequent in practic...
Refineries are amongst the largest industrial energy users. The preheat trains of their crude distil...
A comprehensive model-based thermo-hydraulic methodology is used to investigate fouling behaviour in...
Crude oil fouling in preheat trains in refineries is usually dominated by organic matter deposition ...
Fouling has two significant effects upon pre-heat train performance. Firstly, any of layer of foulan...
Process units subject to fouling often require regular cleaning, giving rise to repeated cycles of f...
Energy recovery and production in oil refinery pre-heat trains are greatly affected by fouling, the...
Process fouling and the penalties associated with it in petroleum refinery, particularly in the crud...
Fouling of heat exchangers in crude preheat trains is a major refinery operations business factor. I...
Crude oil fouling models have greatly improved in the past two decades. However, most models focus o...
Heat exchanger network (HEN) fouling is an endemic operational challenge prevalent in many process i...
Funder: University of CambridgeAbstract: Fouling is an acute problem in crude oil preheat train heat...
Traditional heat exchanger monitoring methodologies rely on fouling resistance calculations that neg...
A complete, systematic approach is presented for the analysis and characterization of fouling and cl...
Crude oil fouling is typically treated in the literature as a phenomenon involving the deposition of...
Fouling rates in refinery heat exchangers with mixed organic/inorganic deposits (frequent in practic...
Refineries are amongst the largest industrial energy users. The preheat trains of their crude distil...
A comprehensive model-based thermo-hydraulic methodology is used to investigate fouling behaviour in...
Crude oil fouling in preheat trains in refineries is usually dominated by organic matter deposition ...
Fouling has two significant effects upon pre-heat train performance. Firstly, any of layer of foulan...
Process units subject to fouling often require regular cleaning, giving rise to repeated cycles of f...
Energy recovery and production in oil refinery pre-heat trains are greatly affected by fouling, the...
Process fouling and the penalties associated with it in petroleum refinery, particularly in the crud...
Fouling of heat exchangers in crude preheat trains is a major refinery operations business factor. I...
Crude oil fouling models have greatly improved in the past two decades. However, most models focus o...