EP4081621A1 - Système et procédé de détermination de valeurs de peptisation et de commande de viscoréducteur - Google Patents

Système et procédé de détermination de valeurs de peptisation et de commande de viscoréducteur

Info

Publication number
EP4081621A1
EP4081621A1 EP20842614.8A EP20842614A EP4081621A1 EP 4081621 A1 EP4081621 A1 EP 4081621A1 EP 20842614 A EP20842614 A EP 20842614A EP 4081621 A1 EP4081621 A1 EP 4081621A1
Authority
EP
European Patent Office
Prior art keywords
visbreaker
sample
determined
visbottom
peptization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20842614.8A
Other languages
German (de)
English (en)
Inventor
Steven IMBERT
Conrad Teran
Naveen Agrawal
Rahul JAGTAP
John Hunter
Ruben NACKAERTS
Nimeshkumar PATEL
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BL Technologies Inc
Original Assignee
BL Technologies Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BL Technologies Inc filed Critical BL Technologies Inc
Publication of EP4081621A1 publication Critical patent/EP4081621A1/fr
Pending legal-status Critical Current

Links

Classifications

    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G9/00—Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G9/007—Visbreaking
    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G9/00—Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G9/06—Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils by pressure distillation
    • C10G9/08—Apparatus therefor
    • C10G9/12—Removing incrustation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
    • G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
    • G01N24/085—Analysis of materials for the purpose of controlling industrial production systems

Definitions

  • Hydrocarbons can be refined in a refining process to produce products such as gasoline, diesel fuel, paraffin wax, and the like.
  • the refining process can include a tank-farm, a cold preheat train, a desalter, a hot preheat train, a crude heater/furnace, a crude distillation unit, a vacuum unit furnace, a vacuum distillation unit, and downstream processing units such a hydrotreater, a hydrocracker, fluid catalytic cracking (FCC), a visbreaker, a coker, etc.
  • a visbreaker is a non-catalytic processing conversion unit in an oil refinery whose purpose is to reduce the quantity of residual oil produced in the distillation of crude oil and to increase the yield of more valuable light and middle distillates (e.g., gasoil, gasoline, LPG etc.).
  • a visbreaker thermally cracks large hydrocarbon molecules of the atmospheric or vacuum residue in the furnace to reduce its viscosity and to produce valuable distillates.
  • the process name of "visbreaker” refers to the fact that the process reduces (i.e., breaks) the viscosity of the residual oil. As a result the product can meet fuel oil specifications with little or no addition of (valuable) cutter stock.
  • Visbroken tar stability measured by P- value (P v ) is a measure for the state of peptization of asphaltenes in oily media, which measures the maximum allowable dilution of the asphaltene containing oil with aliphatic F1C (heptane/cetane) to bring the asphaltenes on the verge of flocculation.
  • Asphaltenes are dispersed in the continuous phase of visbreaking through the peptizing action of aromatics and resins. Cracking modifies the equilibrium so causing asphaltenes precipitation.
  • M Oi ,l mass of oil
  • g V arom volume of aromatic solvent in the mixture
  • ml v ritr volume of titrant in the mixture
  • One embodiment of a method of controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar comprises receiving a visbottom sample from a visbreaker, wherein the visbottom sample comprises residual tar from the visbreaker; performing a fingerprint analysis of the visbottom sample to obtain fingerprint spectra; determining a peptization value of the visbottom sample by processing the fingerprint spectra through a generalized predictive model that has been trained to correlate fingerprint spectral markers with peptization values for a dataset of visbottom samples; and operating the visbreaker in accordance with the determined peptization value of the visbottom sample.
  • the visbottom sample is received from the quench circulation of the main fractionator of the visbreaker.
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample comprises setting a furnace output temperature (FOT) of the visbreaker during feedstock changes based on the determined peptization value of the visbottom sample.
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample comprises adjusting pressures, flows and boiler feed-water (BFW) injections of the visbreaker based on the determined peptization value of the visbottom sample.
  • FOT furnace output temperature
  • BFW boiler feed-water
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample comprises adjusting antifoulant dosages of the visbreaker based on the determined peptization value of the visbottom sample.
  • antifoulant dosages of the visbreaker are adjusted automatically based on the determined peptization value of the visbottom sample.
  • the methods may further comprise receiving a visbreaker feed sample, wherein the visbreaker feed sample is obtained prior to a hydrocarbon entering the visbreaker; performing a fingerprint analysis of the visbreaker feed sample to obtain visbreaker feed sample fingerprint spectra; determining a peptization value of the visbreaker feed sample by processing the visbreaker feed sample fingerprint spectra through a generalized feed sample predictive model that has been trained to correlate fingerprint spectral markers with peptization values for a dataset of visbreaker feed samples; and operating the visbreaker in accordance with the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed.
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed comprises setting a furnace output temperature (FOT) of the visbreaker during feedstock changes based on the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed.
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed comprises adjusting pressures, flows and boiler feed-water (BFW) injections of the visbreaker based on the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed.
  • BFW boiler feed-water
  • operating the visbreaker in accordance with the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed comprises adjusting antifoulant dosages of the visbreaker based on the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed.
  • the antifoulant dosages of the visbreaker are adjusted automatically based on the determined peptization value of the visbottom sample and/or the determined peptization value of the visbreaker feed.
  • the table that correlates fingerprint results to peptization values is created using peptization values determined using dilution with manual filtrations and visual evaluation, dilution with automated titration, temperature increase with automated titration, or combinations thereof.
  • dilution with automated titration with temperature control comprises a Rofa (ASTM D7060, incorporated by reference), a Porla (ASTM D7157, incorporated by reference) or Zematra (ASTM D7112, incorporated by reference) methods of determining the peptization value.
  • the fingerprint analysis comprises using spectroscopy.
  • the spectroscopy comprises one or more of infrared spectroscopy, near-infrared spectroscopy, and nuclear magnetic resonance spectroscopy.
  • FIGS. 1A-1D are simplified overview diagrams of exemplary visbreaker processes, where FIG. 1A illustrates all-coil visbreaking, FIG. IB illustrates soaker visbreaking, FIG. 1C illustrates Shell deep-thermal visbreaking, and FIG. ID illustrates Shell thermal gas-oil visbreaking;
  • FIG. 2 A illustrates a method according to some embodiments
  • FIG. 2B illustrates and exemplary Pv model
  • FIG. 3 illustrates an alternate method according to some embodiments
  • FIG. 4 is a block diagram of a control system in accordance with some embodiments.
  • FIGS. 1A-1D are simplified overview diagrams of exemplary visbreaker processes.
  • FIG. 1A illustrates all-coil visbreaking.
  • FIG. IB illustrates soaker visbreaking.
  • FIG. 1C illustrates Shell deep-thermal visbreaking, and
  • FIG. ID illustrates Shell thermal gas oil visbreaking.
  • the visbreaker processes further comprise control systems for controlling and monitoring the process.
  • the control systems includes processors and sensors for controlling and monitoring the processes.
  • the disclosed systems and methods enable controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar.
  • this is done by 202 receiving a visbottom sample from a visbreaker.
  • the visbottom sample comprises residual tar from the visbreaker.
  • the visbottom sample is received from a quench circulation of the main fractionator of the visbreaker.
  • a fingerprint analysis is performed of the visbottom sample to obtain fingerprint spectra.
  • the fingerprint analysis involves spectroscopy.
  • the spectroscopy may comprise one or more of infrared spectroscopy, near-infrared spectroscopy, and nuclear magnetic resonance spectroscopy.
  • the fingerprint analysis is performed using an analyzer that has an analyzer processor.
  • the fingerprint spectra is the resultant output from a spectrometer device (i.e., analyzer), which quantifies the amount of energy (light) absorbed by matter (in this case by a sample of visbottom).
  • a spectrometer device i.e., analyzer
  • Each wavelength in the resultant spectrum (of wavelength vs absorbance) is measured in nanometers vs absorbance units.
  • results of the fingerprint analysis are provided to a processor.
  • This processor may be the analyzer processor, or more typically is a separate processor. In some instances, the separate processor is part of a control system used to monitor and control the visbreaker.
  • the processor determines a peptization value of the visbottom sample by comparing results of the fingerprint analysis to peptization values. By using advanced mathematical modeling algorithms typical markers from the fingerprint are correlated with peptization values.
  • the fingerprint spectra is processed by the processor using a generalized predictive model. This generalized model has been derived using various computational methods that include correlated component regression and machine learning algorithms.
  • the predictive model has been trained to correlate fingerprint spectral markers (e.g., absorbance units at each of over 1800 wavelengths) vs peptization value for a dataset of visbottom samples.
  • FIG. 2B illustrates such a predictive model 220, where the predictive model 220 is provided fingerprint spectra 222 and outputs a peptization value 224 based on the fingerprint spectra 222.
  • the predictive model 220 has been trained using peptization values for a dataset of samples 226.
  • the model that correlates fingerprint results to peptization values is created using peptization values determined using dilution with manual filtrations and visual evaluation, dilution with automated titration, temperature increase with automated titration, or combinations thereof.
  • dilution with automated titration with temperature control comprises a Rofa (ASTM D7060), a Porla (ASTM D7157) or Zematra (ASTM D7112) method of determining the peptization value
  • the visbreaker is operated in accordance with the determined peptization value of the visbottom sample.
  • This may comprise setting a furnace output temperature (FOT) of the visbreaker during feedstock changes based on the determined peptization value of the visbottom sample.
  • Operating the visbreaker in accordance with the determined peptization value of the visbottom sample may also comprise adjusting pressures, flows and boiler feed-water (BFW) injections of the visbreaker based on the determined peptization value of the visbottom sample, adjusting antifoulant dosages of the visbreaker based on the determined peptization value of the visbottom sample, and the like. In some instances, antifoulant dosages of the visbreaker are adjusted automatically based on the determined peptization value of the visbottom sample.
  • FIG. 3 is the process shown and described in FIG. 2 A, with an added steps of 302, receiving a visbreaker feed sample, 304 performing a fingerprint of the visbreaker feed sample to obtain visbreaker feed fingerprint spectra, and 306 determining a peptization value of the visbreaker feed sample by processing the visbreaker feed sample fingerprint spectra through a generalized feed sample predictive model that has been trained to correlate fingerprint spectral markers with peptization values for a dataset of visbreaker feed samples, wherein the generalized feed sample model has been derived using various computational methods that include correlated component regression and machine learning algorithms that has been previously trained to correlate fingerprint spectral markers (absorbance units at each of over 1800 wavelengths) vs peptization value for a dataset of visbreaker feed samples.
  • both the peptization value of the visbottom sample and the peptization value of the visbreaker feed sample are used to make operational decisions about the visbreaker. It is to be appreciated that, in some instances, above steps 202-206 and/or 302-306 can be performed in 10 minutes, or less.
  • a unit can be software, hardware, or a combination of software and hardware.
  • the units can comprise software for analysis and controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar.
  • the units can comprise an analyzer and/or a data analysis computer that comprises one or more computing devices that each comprise a processor 421 as illustrated in FIG. 4 and described below.
  • processor refers to a physical hardware device that executes encoded instructions for performing functions on inputs and creating outputs.
  • FIG. 4 illustrates an exemplary computer that can be used for executing software for controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar.
  • “computer” may include a plurality of computers.
  • the computers may include one or more hardware components such as, for example, a processor 421, a random access memory (RAM) module 422, a read-only memory (ROM) module 423, a storage 424, a database 425, one or more input/output (I/O) devices 426, and an interface 427.
  • the computer may include one or more software components such as, for example, a computer-readable medium including computer executable instructions for performing a method associated with the exemplary embodiments.
  • storage 424 may include a software partition associated with one or more other hardware components. It is understood that the components listed above are exemplary only and not intended to be limiting.
  • Processor 421 may include one or more processors, each configured to execute instructions and process data to perform one or more functions associated with a computer for executing software to perform a method of controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar.
  • Processor 421 may be communicatively coupled to RAM 422, ROM 423, storage 424, database 425, I/O devices 426, and interface 427.
  • Processor 421 may be configured to execute sequences of computer program instructions to perform various processes. The computer program instructions may be loaded into RAM 422 for execution by processor 421.
  • RAM 422 and ROM 423 may each include one or more devices for storing information associated with operation of processor 421.
  • ROM 423 may include a memory device configured to access and store information associated with the computer, including information for identifying, initializing, and monitoring the operation of one or more components and subsystems.
  • RAM 422 may include a memory device for storing data associated with one or more operations of processor 421.
  • ROM 423 may load instructions into RAM 422 for execution by processor 421.
  • Storage 424 may include any type of mass storage device configured to store information that processor 421 may need to perform processes consistent with the disclosed embodiments.
  • storage 424 may include one or more magnetic and/or optical disk devices, such as hard drives, CD-ROMs, DVD-ROMs, or any other type of mass media device.
  • Database 425 may include one or more software and/or hardware components that cooperate to store, organize, sort, filter, and/or arrange data used by the computer and/or processor 421.
  • database 425 may store data related to the analysis software.
  • the database may also contain data and instructions associated with computer-executable instructions for performing method of controlling visbreaker fouling and optimizing visbreaker conversion using fingerprinting on visbreaker feed and tar. It is contemplated that database 425 may store additional and/or different information than that listed above.
  • I/O devices 426 may include one or more components configured to communicate information with a user associated with computer.
  • I/O devices may include a console with an integrated keyboard and mouse to allow a user to maintain a database of fingerprint/peptization value correlations and determined peptization values, and the like.
  • I/O devices 426 may also include a display including a graphical user interface (GUI) for outputting information on a monitor.
  • GUI graphical user interface
  • I/O devices 426 may also include peripheral devices such as, for example, a printer, a user-accessible disk drive (e.g., a USB port, a floppy, CD-ROM, or DVD-ROM drive, etc.) to allow a user to input data stored on a portable media device, a microphone, a speaker system, or any other suitable type of interface device.
  • peripheral devices such as, for example, a printer, a user-accessible disk drive (e.g., a USB port, a floppy, CD-ROM, or DVD-ROM drive, etc.) to allow a user to input data stored on a portable media device, a microphone, a speaker system, or any other suitable type of interface device.
  • Interface 427 may include one or more components configured to transmit and receive data via a communication network, such as the Internet, a local area network, a workstation peer-to-peer network, a direct link network, a wireless network, or any other suitable communication platform.
  • interface 427 may include one or more modulators, demodulators, multiplexers, demultiplexers, network communication devices, wireless devices, antennas, modems, and any other type of device configured to enable data communication via a communication network.
  • each block of a flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
  • the computer readable medium may be a computer readable signal medium or a computer readable storage medium.
  • a computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing.
  • a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
  • a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof.
  • a computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
  • LAN local area network
  • WAN wide area network
  • Internet Service Provider for example, AT&T, MCI, Sprint, EarthLink, MSN, GTE, etc.
  • These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
  • the computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

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  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Thermal Sciences (AREA)
  • Organic Chemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Engineering & Computer Science (AREA)
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  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Abstract

L'invention concerne des systèmes et des procédés de contrôle de l'encrassement d'un viscoréducteur et d'optimisation de la conversion de viscoréducteur à l'aide d'empreintes digitales sur l'alimentation du viscoréducteur et/ou le goudron.
EP20842614.8A 2019-12-24 2020-12-17 Système et procédé de détermination de valeurs de peptisation et de commande de viscoréducteur Pending EP4081621A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN201941053617 2019-12-24
PCT/US2020/065494 WO2021133624A1 (fr) 2019-12-24 2020-12-17 Système et procédé de détermination de valeurs de peptisation et de commande de viscoréducteur

Publications (1)

Publication Number Publication Date
EP4081621A1 true EP4081621A1 (fr) 2022-11-02

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ID=74187357

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Application Number Title Priority Date Filing Date
EP20842614.8A Pending EP4081621A1 (fr) 2019-12-24 2020-12-17 Système et procédé de détermination de valeurs de peptisation et de commande de viscoréducteur

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Country Link
EP (1) EP4081621A1 (fr)
IL (1) IL294130A (fr)
WO (1) WO2021133624A1 (fr)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE60022674T2 (de) * 1999-11-22 2006-02-02 Baker-Hughes Inc., Houston Methode zur verbesserung eines thermischen crackverfahrens und der damit erzielten produktausbeuten
US7394545B2 (en) * 2005-07-11 2008-07-01 Ge Betz, Inc. Apparatus for characterizing and measuring the concentration of opaque particles within a fluid sample
US8398849B2 (en) * 2005-07-11 2013-03-19 General Electric Company Application of visbreaker analysis tools to optimize performance
US8017910B2 (en) * 2008-10-20 2011-09-13 Nalco Company Method for predicting hydrocarbon process stream stability using near infrared spectra
US20110278460A1 (en) * 2010-05-13 2011-11-17 Baker Hughes Incorporated Method and apparatus for determining the coke generation tendency of hydrocarbons

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IL294130A (en) 2022-08-01

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