CN115831255A - Delayed coking product prediction method and device, electronic equipment and storage medium - Google Patents
Delayed coking product prediction method and device, electronic equipment and storage medium Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to a method and a device for predicting delayed coking products, electronic equipment and a storage medium, wherein a reaction path of delayed coking raw material molecules and delayed coking product molecules are determined according to a preset delayed coking reaction rule, and the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network; constructing a delayed coking reaction kinetic model based on a reaction rate constant corresponding to the reaction rule and a delayed coking reaction network; inputting the content of the delayed coking feedstock molecules into the delayed coking reaction kinetic model to obtain the predicted content of delayed coking product molecules; updating the reaction rate constant until the prediction error is not greater than a preset threshold value, and obtaining a calibrated delayed coking reaction kinetic model; inputting the delayed coking molecule composition to be predicted into a calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecule composition; the invention improves the product prediction accuracy.
Description
Technical Field
The invention relates to the technical field of molecular oil refining, in particular to a method and a device for predicting delayed coking products, electronic equipment and a storage medium.
Background
The delayed coking process has the advantages of wide raw oil application range, small technical risk, low operation cost and the like, and can convert various heavy and poor residual oil into light oil products with higher economic benefit and better petroleum coke, so the delayed coking process is generally adopted by various oil refining enterprises. With the increasingly prominent problems of crude oil heaviness and deterioration, the scale of processing residual oil by delayed coking is continuously increased.
At present, a lumped model is usually adopted to predict the content of delayed coking products, similarity classification is only carried out, and then construction of a reaction network among lumped components and calculation of reaction parameters are carried out, namely, the content of the total products can be predicted only by taking lumped components as a unit, the accurate content of each delayed coking product cannot be predicted, the prediction precision is not high, and the optimization of a production scheme is not facilitated.
Disclosure of Invention
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for predicting delayed coking products, which aim to solve the technical problem that the accurate content of each delayed coking product cannot be accurately predicted.
In a first aspect, an embodiment of the present invention provides a delayed coking product prediction method, including: obtaining delayed coking feedstock molecular composition, wherein the delayed coking feedstock molecular composition comprises delayed coking feedstock molecules and delayed coking feedstock molecular content; determining a reaction path corresponding to the delayed coking raw material molecules and delayed coking product molecules of the reaction path based on a preset delayed coking reaction rule, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network; constructing a delayed coking reaction kinetic model based on a reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network; inputting the content of the delayed coking feedstock molecules into the delayed coking reaction kinetic model to obtain the predicted content of delayed coking product molecules; under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model; inputting the delayed coking molecule composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecule composition.
As an embodiment of the present invention, the reaction rate constant is calculated as follows:
wherein ,kis a constant of the rate of the reaction,k a 、k b 、k c respectively, reaction kinetic parameters related to the catalyst, the reaction temperature and the reaction pressure,Ein order to activate the energy of the reaction,Tas the reaction temperature, the reaction temperature is,pin order to obtain the reaction pressure, the reaction solution is,p k is a constant of the effect of reaction pressure on reaction rate.
As an embodiment of the present invention, the updating the reaction rate constant includes: by adjustingk a 、k b Andk c to effect updating of the reaction rate constant.
As an embodiment of the present invention, a calculation formula of the prediction error is as follows:
wherein ,Errin order to be able to predict the error,
is a firstiThe predicted content of the species of delayed coking product molecules,
is a firstiThe actual content of the molecules of the delayed coking product,nis the total number of species of the delayed coking product molecules.
As an embodiment of the present invention, the obtaining of the delayed coking feedstock molecular composition includes: analyzing a crude oil molecular composition based on the crude oil evaluation data, the crude oil molecular composition comprising crude oil molecules and a crude oil molecular content; separating a delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition.
As an embodiment of the present invention, the analyzing a crude oil molecular composition based on crude oil evaluation data includes: acquiring basic property information and fraction cutting property information of crude oil; inquiring a target crude oil molecule which is most matched with the basic property information of the crude oil in a preset crude oil molecule composition database; determining the target crude oil molecule content based on the cut property information of the crude oil, the target crude oil molecule and the target crude oil molecule content constituting the crude oil molecular composition.
As an embodiment of the present invention, the method further includes: determining a predicted value of the physical property of the crude oil according to the target crude oil molecule and the content of the target crude oil molecule; and under the condition that the error between the crude oil physical property predicted value and the crude oil physical property actual value is smaller than a preset threshold value, determining the target crude oil molecule and the content of the target crude oil molecule as the crude oil molecule composition.
As an embodiment of the present invention, the separating the delayed coking feedstock from the crude oil and obtaining the delayed coking feedstock molecular composition based on the crude oil molecular composition comprises: calculating the physical property value of each crude oil molecule according to each crude oil molecule in the crude oil and the content of the corresponding crude oil molecule; and performing distillation cutting on the crude oil based on preset fraction limiting conditions to obtain a delayed coking raw material, and determining delayed coking raw material molecules in the delayed coking raw material and the corresponding delayed coking raw material molecule content according to the physical property value of each crude oil molecule and the crude oil molecule content.
As an embodiment of the present invention, the delayed coking feedstock molecules are represented in lump by structure-directed.
As an embodiment of the present invention, the preset delayed coking reaction rule satisfies at least one of the following conditions; each reaction rule describes a reaction path through a structure-oriented lumped method; the alkane chain scission reactions are all intermediate scission; ring-opening reaction, side chain breaking reaction and aromatization reaction of cycloparaffin; side chain cleavage reaction and condensation reaction of aromatic hydrocarbon; olefin is used as an intermediate reaction product to generate cracking and diene synthesis reaction; the heteroatom is subjected to hydrogen sulfide removal and carbon dioxide removal reactions.
As an embodiment of the present invention, after obtaining the delayed coking feedstock molecular composition based on the crude oil molecular composition, the method further includes: sequencing the delayed coking raw material molecules according to the content of the delayed coking raw material molecules; selecting delayed coking material molecules with the content of the delayed coking material molecules larger than a preset content value.
In a second aspect, an embodiment of the present invention provides a delayed coking product prediction apparatus, including: the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring delayed coking feedstock molecular composition, and the delayed coking feedstock molecular composition comprises delayed coking feedstock molecules and delayed coking feedstock molecular content; the determination module is used for determining a corresponding reaction path based on a preset delayed coking reaction rule and the delayed coking raw material molecules, and determining corresponding delayed coking product molecules according to the reaction path, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network; the building module is used for building a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network; the prediction module is used for inputting the molecular content of the delayed coking raw material into the delayed coking reaction kinetic model to obtain the predicted content of the delayed coking product molecules; the building module is further configured to update the reaction rate constant under the condition that a prediction error between a predicted content and an actual content of the delayed coking product molecule is greater than a preset threshold, and repeatedly perform the step of building a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not greater than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model; and the prediction module is also used for inputting the delayed coking molecular composition to be predicted into the calibrated delayed coking reaction kinetic model and outputting the corresponding delayed coking product molecular composition.
In a third aspect, an embodiment of the present invention provides an electronic device for predicting delayed coking products, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus; a memory for storing a computer program; a processor for implementing the steps of the delayed coking product prediction method of any one of the first aspect when executing the program stored in the memory.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the delayed coking product prediction method according to any one of the first aspect.
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for predicting delayed coking products, wherein the method comprises the following steps: obtaining delayed coking feedstock molecular composition, wherein the delayed coking feedstock molecular composition comprises delayed coking feedstock molecules and delayed coking feedstock molecular content; determining a reaction path corresponding to the delayed coking raw material molecules and delayed coking product molecules of the reaction path based on a preset delayed coking reaction rule, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network; constructing a delayed coking reaction kinetic model based on a reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network; inputting the delayed coking feedstock molecular content into the delayed coking reaction kinetic model to obtain a predicted content of delayed coking product molecules; under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model; inputting the delayed coking molecule composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecule composition; the delayed coking reaction kinetic model constructed in the embodiment of the invention can predict the content of each delayed coking product, and the accuracy of product prediction is improved through model calibration.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive labor.
FIG. 1 is a schematic flow diagram of a delayed coking product prediction method according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a delayed coking product prediction method provided by an embodiment of the present invention;
FIG. 3 is a schematic flow diagram of another delayed coking product prediction method provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of a delayed coking product prediction unit according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for delayed coking product prediction according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Fig. 1 is a schematic flow chart of a delayed coking product prediction method according to an embodiment of the present invention, where the implementation subject is a delayed coking product prediction device or an electronic device with a delayed coking product prediction device deployed therein. As shown in fig. 1, the delayed coking product prediction method includes:
step S101, obtaining delayed coking raw material molecule composition, wherein the delayed coking raw material molecule composition comprises delayed coking raw material molecules and delayed coking raw material molecule content.
In some embodiments, the delayed coking feedstock molecules are represented by a structure-directed lump comprising the following molecular structure fragments: a6, A4, A2, N6, N5, N4, N3, N2, N1, R, IH, br, me, AA, NS, NN, NO, RS, RN, RO, AN, KO, ni, and V.
Specifically, each raw material molecule is subjected to vector characterization based on a structure-oriented lumped molecule characterization method to obtain a structure-oriented lumped representation of each raw material molecule, wherein the structure-oriented lumped representation utilizes 24 structure increment segments to characterize the basic structure of the complex hydrocarbon molecule, and ensures that any one petroleum molecule can be represented by a specific group of structure increment segments, as shown in table 1 (structure increment segment table);
TABLE 1
The molecular composition of the delayed coking feedstock is represented by the 24 characteristic structures according to corresponding rules in the molecular guide set total representation, each molecule is converted into a one-dimensional structure vector consisting of the number of 24 fragment units, and the molecular vector is marked as A = [ a11, a12, \8230; a1n ]. Each component in a represents the number of corresponding features in the molecule in table 1.
A6: a six carbon aromatic ring, which is present in all aromatic molecules, may be present alone.
A4: a four carbon aromatic ring attached to the A6 (or another A4 ring) is a structural increment used to build polymeric polycyclic structures that cannot exist alone.
A2: the two-carbon aromatic structure is increased and A2 is used to attach to the "gulf region" of the polycyclic aromatic hydrocarbon to form a new polycyclic aromatic hydrocarbon.
N6 and N5: six-carbon and five-carbon cycloalkanes.
N4, N3, N2, N1: additional aliphatic ring structure extenders containing four, three, two and one carbons, which must be attached to other aliphatic or aromatic ring structures, cannot be present alone.
R: the number of carbon atoms contained in all alkyl structures attached to the ring structure, or in the aliphatic molecule in the absence of a ring structure.
IH: the molecular saturation is described by introducing the structural increment related to the hydrogen element. If there is no ring structure, IH =1 represents paraffin, IH =0 represents monoolefin, and IH = -1 represents diolefin; if a ring is present, IH = -1 represents a cyclic olefin.
br: the method represents the number of branch nodes on side chain alkyl, straight chain alkyl or olefin, and cannot distinguish methyl, ethyl and propyl branches, so that only methyl branches are assumed to exist uniformly, the influence of the branch type on the reaction is not significant in the actual oil refining process, the influence of the branch number can be represented by the assumption, and the influence of the branch type, such as methyl, ethyl and propyl branches, can be ignored, and the actual requirement can be met.
me: the number of methyl groups in the alkyl structure directly attached to a carbon atom in an aromatic or aliphatic ring is determined. In particular, when R =1 or me = R-1, other structural increments can determine the number of methyl groups on the ring structure, me no longer being used to represent the number of methyl groups by convention.
AA: biphenyl bridging between any two nonstructural incremental rings (A6, N6, or N5).
NS, NN and NO: sulfur, nitrogen, oxygen atoms located in an aliphatic ring or chain and linked to two carbon atoms. NS, NN and NO refer to the replacement of a-CH 2-group with an S atom, an-NH-group and an O atom, respectively.
RS, RN and RO: an S atom, a N-containing-NH-group or an O atom is inserted between a carbon atom and a hydrogen atom, constituting a thiol, amine or alcohol group, respectively.
AN: the carbon is replaced in the aromatic ring by a nitrogen group, such as pyridine and quinoline. The AN group is replaced with = N-by = CH-.
KO：
Instead of-CH 2-or-CH 3, a ketone or aldehyde group is formed.
Ni and V: occurs in porphyrin-like molecules.
Step S102, determining a reaction path corresponding to the delayed coking raw material molecules and delayed coking product molecules of the reaction path based on a preset delayed coking reaction rule, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network.
Specifically, a corresponding delayed coking reaction rule is first constructed according to the characteristics of the delayed coking feedstock. The heavy oil is a mixture of many hydrocarbons and non-hydrocarbons with large relative molecular mass and different molecular structures, and the thermal conversion of the heavy oil can be confirmed to follow the reaction process of free radical chain, and the reaction is carried out along two directions of cracking and condensation, and is characterized by liquid phase reaction. In the gas phase, reaction molecules are split into free radicals and then are scattered, and the free radicals are far away from each other; in the liquid phase, the molecules are more dense, and the radicals formed are surrounded by neighboring radicals and other molecules, and tend to collide with each other to stop the chain reaction, which in turn reduces the rate of the chain reaction, resulting in more condensation products and less decomposition products than in the gas phase under the same conditions. The delayed coking device has more complex reaction molecules, the number of involved reactions is obviously more, and for convenience of calculation, an important reaction rule can be selected for description, and based on the condition, the preset delayed coking reaction rule in the embodiment provided by the scheme gives the following limiting conditions:
(1) the reaction rules do not consider intermediate reactions such as free radicals and the like, and the reaction path is described only by a structure-oriented lumped method;
(2) the alkane chain scission reaction is uniformly considered as middle fracture;
(3) the cycloparaffin mainly generates ring opening reaction, side chain breaking reaction and aromatization reaction;
(4) aromatic hydrocarbons mainly undergo side chain scission reactions and condensation reactions (in the form of attomoto condensation);
(5) olefin is used as an intermediate reaction product, and mainly undergoes cracking and diene synthesis reaction;
(6) and the heteroatom mainly carries out hydrogen sulfide removal and carbon dioxide removal reactions.
Based on the above conditions, the preset reaction rule in the embodiment of the present invention is 30, exemplified as follows (wherein hetero denotes a heteroatom):
(1) alkane chain scission reaction
Reactant selection rules: a6+ N5= =0& hybrid = =0& IH = =1& R >5
Product 1 formation rule:
R1←round(R/2)
br1←round(br/2)
product 2 formation rule:
R2←R-R1
br2←br-br1
IH2←0
(2) ring opening reaction of cycloalkane N4
Reactant selection rules: n6+ N5>0& >0&N4 &0 &N3 +N1= =0 &heading = =0&IH = =0
The product generation rule is as follows:
N4←N4-1
R←R+4
(3) olefin aromatization reaction
Reactant selection rules: a6+ N5= =0&n4>, 0&r >, 6 &heading = =0&ih = =0&br >, 0
The product generation rule is as follows:
A6←1
R←R-6
br←br-1
(4) diene synthesis reaction (cyclization)
Reactant 1 is selected according to the rule:
reactant 2 selection rule:
the product generation rule is as follows:
A6←1
R←R1+R2-6
br←round[(R1+R2)/10]
(5) naphthenic acid deoxidation reaction
Reactant selection rules: a6= =0& = =1&r = 2& = =1&k0= = 1=
Product 1 formation rule:
R←R-1
RO←RO-1
KO←KO-1
product 2 formation rule:
R←1
KO←2
where, = = is used to determine whether the number is equal before and after,/represents a division number, & represents that the determination condition before and after the symbol needs to be satisfied at the same time, + represents the production of the product, + is an addition number, -represents a subtraction number, and round represents rounding up the numerical value.
In the step, after the reaction rule and the reactants (delayed coking raw material molecules) are determined, the reaction path can be determined, and a corresponding reaction network diagram is drawn according to the reaction path, wherein the reaction network diagram relates to 1000 reactant molecules, 30 reaction rules, 6595 reaction numbers and 3162 reaction products.
And S103, constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network.
Specifically, the reaction network determines reaction paths in which molecular components may proceed in the process, and to further obtain the conversion and distribution conditions of the molecular components in the process, the reaction rate of each reaction path is used to calculate the reaction amount of the molecular components at different stages, and based on the transition state theory, the reaction rate constant and the temperature of the reaction path have the following relationship:
wherein ,kin order to be a constant of the reaction rate,k B is a glass-transition metal oxide of which the number is,his the constant of the planck, and is,Rthe gas constant is an ideal gas constant,Tis the temperature value of the environment in which the reaction path is located,expis an exponential function with a natural constant as the base, ΔSFor entropy change before and after the reaction, deltaEIs a reaction energy barrier.
For complex reactions with a large number of molecules or participation of macromolecules, a functional correlation calculation is generally performed on kinetic parameters and structures of molecular components according to a Linear Free Energy Relationship (LFER). The LFER theory holds that: the reactions of the same family of compounds have similarities and the difference in substituents only affects the rate and does not change the manner of reaction. Based on this, the calculation formula for the reaction rate constant of the delayed coking unit is improved as follows:
wherein k is a reaction rate constant of the reaction rule,k a 、k b 、k c respectively, reaction kinetic parameters related to the catalyst, the reaction temperature and the reaction pressure,Ein order to activate the energy of the reaction,Tas the reaction temperature, the reaction temperature is,pin order to obtain the reaction pressure, the reaction solution is,p k is a constant of the effect of reaction pressure on reaction rate.
And step S104, inputting the content of the delayed coking raw material molecules into the delayed coking reaction kinetic model to obtain the predicted content of the delayed coking product molecules.
And S105, under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing the delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain the calibrated delayed coking reaction kinetic model.
Specifically, at the start of constructing the model, the reaction rate constant is calculated according to the formula (1)，k a 、k b 、k c Default is 1, the actual product composition is combined after the model is built and operated, the physical property of the product is taken as a model target value, the product molecule aggregation and the reaction rate constant are reversely deduced, and the calibration returns to be closer to the actual conditionk a 、k b 、k c The value of (c).
The model calibration step comprises:
(1) acquiring the actual content corresponding to each delayed coking product molecule;
(2) calculating the prediction error of the model according to the actual content and the prediction content corresponding to each delayed coking product molecule, wherein the prediction error is shown as a formula (2):
wherein ,Errfor the prediction error, the difference between the content of each product in the molecular composition matrix of the reaction product and the actual reaction product,
is as followsiThe predicted content of the seed delayed coking product molecules,
is as followsiThe actual content of the molecules of the delayed coking product,nis the total number of species of the delayed coking product molecules.
(3) If the prediction error is larger than the preset threshold value, adjustingk a 、k b Andk c and (3) updating the reaction rate constant, reconstructing the model and repeatedly executing the step (2).
And S106, inputting the delayed coking molecular composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecular composition.
Specifically, the molecular composition of the delayed coking product corresponding to the molecular composition of the delayed coking feedstock to be predicted can be predicted by using the calibrated delayed coking reaction kinetic model.
When the delayed coking reaction kinetics model is used to predict the product, the inputs to the model also include parameters such as reaction temperature, reaction pressure, reactor volume, and reaction time.
Fig. 2 is a schematic block diagram of a method for predicting delayed coking products according to an embodiment of the present invention, where, as shown in fig. 2, each delayed coking feedstock molecule forms a one-dimensional structure vector by the number of 24 segment units, and the one-dimensional structure vector corresponding to each delayed coking feedstock molecule forms a corresponding feedstock matrix (each feedstock matrix has a corresponding feedstock matrix number); judging whether each raw material molecule in the raw material matrix accords with one of preset delayed coking reaction rules, if so, generating a corresponding reaction path (the numbering rule corresponding to the reaction path is reaction 1.. Reaction n) and a corresponding delayed coking product molecule (the numbering rule corresponding to the delayed coking product molecule is product molecule 1.. Product molecule n) to form a reaction network (namely a reactant product pair); if not, directly forming a reaction network; determining delayed coking product molecules according to the reaction network, wherein the product molecules are represented by structure vectors (namely, product molecular structure vectors); the reaction rate equation corresponding to the reaction network and the reaction rule can determine the reaction kinetic equation (namely a delayed coking reaction kinetic model) of the whole reaction process; then, solving a reaction kinetic equation by using the lumped concentration of each molecule in the raw material matrix (namely the mass concentration of each raw material molecule in the raw material matrix) to obtain the corresponding product molecule content; the product molecular structure vector and the product molecular content constitute a product molecular set.
According to the delayed coking product prediction method provided by the embodiment of the invention, the delayed coking raw material molecular composition is obtained, and comprises delayed coking raw material molecules and delayed coking raw material molecular content; determining a corresponding reaction path based on a preset delayed coking reaction rule and the delayed coking raw material molecules, and determining corresponding delayed coking product molecules according to the reaction path, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network; constructing a delayed coking reaction kinetic model based on a reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network; inputting the content of the delayed coking feedstock molecules into the delayed coking reaction kinetic model to obtain the predicted content of delayed coking product molecules; under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model; inputting the delayed coking molecule composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecule composition; the delayed coking reaction kinetic model constructed in the embodiment of the invention can predict the content of each delayed coking product, and the accuracy of product prediction is improved through model calibration.
On the basis of the foregoing embodiment, fig. 3 is a schematic flow chart of another method for predicting delayed coking products according to an embodiment of the present invention, and as shown in fig. 3, the method for predicting delayed coking products includes:
step S401, analyzing the crude oil molecule composition based on the crude oil evaluation data, wherein the crude oil molecule composition comprises crude oil molecules and crude oil molecule content.
Step S402, separating the delayed coking feedstock from the crude oil, and obtaining the molecular composition of the delayed coking feedstock based on the molecular composition of the crude oil.
And S403, determining a reaction path corresponding to the delayed coking raw material molecules and delayed coking product molecules of the reaction path based on a preset delayed coking reaction rule, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network.
And S404, constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network.
And S405, inputting the content of the delayed coking raw material molecules into the delayed coking reaction kinetic model to obtain the predicted content of the delayed coking product molecules.
Step S406, under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing the delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain the calibrated delayed coking reaction kinetic model.
And S407, inputting the delayed coking molecular composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecular composition.
The implementation manners of steps S403 to S407 in the embodiment of the present invention are similar to the implementation manners of steps S102 to S106 in the above embodiment, and are not described herein again.
The difference from the above-described embodiment is that, in order to further improve the model prediction speed and accuracy, in the present embodiment, the crude oil molecular composition including the crude oil molecules and the crude oil molecular content is analyzed by analyzing the crude oil molecular composition based on the crude oil evaluation data; separating a delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition.
In some embodiments, the step S401 includes: acquiring basic property information and fraction cutting property information of crude oil; inquiring a target crude oil molecule which is most matched with the basic property information of the crude oil in a preset crude oil molecule composition database; determining the target crude oil molecule content based on the cut property information of the crude oil, the target crude oil molecule and the target crude oil molecule content constituting the crude oil molecular composition.
In some embodiments, the method further comprises: determining a predicted value of the physical property of the crude oil according to the target crude oil molecule and the content of the target crude oil molecule; and under the condition that the error between the crude oil physical property predicted value and the crude oil physical property actual value is smaller than a preset threshold value, determining the target crude oil molecule and the content of the target crude oil molecule as the crude oil molecule composition.
Specifically, in order to quickly obtain more accurate molecular composition of the raw material, an analytic method for obtaining the molecular composition of the raw material by using crude oil evaluation data is adopted, and the analytic method comprises the following steps:
(1) constructing a crude oil molecular composition database based on methods such as analysis and detection;
(2) obtaining base data of crude oil (including basic properties, narrow cut properties and wide cut properties);
(3) matching suitable crude oil molecules from a database of crude oil molecule compositions based on the basic properties of the crude oil;
(4) calculating the content of each molecule of the crude oil according to the fraction cutting property of the crude oil;
(5) verifying the analytical data of the crude oil molecules, calculating the physical properties of the crude oil and comparing the physical properties with input actual physical properties;
(6) and outputting an analysis result after the deviation meets the requirement.
In some embodiments, said separating the delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition comprises: calculating the physical property value of each crude oil molecule according to each crude oil molecule in the crude oil and the content of the corresponding crude oil molecule; and performing distillation cutting on crude oil based on preset fraction limiting conditions to obtain a delayed coking raw material, and determining delayed coking raw material molecules in the delayed coking raw material and the corresponding delayed coking raw material molecule content according to the physical property value of each crude oil molecule and the crude oil molecule content.
Specifically, after the molecular composition of the crude oil is obtained, the oil product needs to be cut, and side products such as naphtha, diesel oil, wax oil, residual oil and the like are separated from the crude oil and supplied to a subsequent secondary processing device, and the method comprises the following steps:
(1) obtaining each single molecule and the content of each single molecule in the crude oil;
(2) respectively calculating physical properties such as boiling point of each single molecule;
(3) and distilling and cutting the crude oil based on preset fraction limiting conditions (distillation range, carbon number and the like) to obtain a plurality of groups of fractions, and determining the monomolecular contained in each group of fractions and the corresponding content thereof according to the physical property and the content of each monomolecular in the crude oil.
After the cutting, the physical properties of the cut fraction can be calculated and output as required. The delayed coking feedstock molecules used in this example are derived from vacuum residue fractions obtained after cutting the components of crude oil molecules obtained by analyzing the quick evaluation data of mixed crude oil in an atmospheric and vacuum distillation unit.
In some embodiments, after obtaining the delayed coking feedstock molecular composition based on the crude oil molecular composition, further comprising: sequencing the delayed coking raw material molecules according to the content of the delayed coking raw material molecules; selecting delayed coking raw material molecules with the content of the delayed coking raw material molecules larger than a preset content value.
In particular, delayed coker feedstocks are large and complex in molecular weight, e.g., greater than 1 x 10 mass fractions in vacuum resids -16 About 8000 molecules, and the lower content of feed molecules can be filtered for simplicity.
According to the method for predicting the delayed coking product, provided by the embodiment of the invention, the composition of crude oil molecules is analyzed based on crude oil evaluation data, and the crude oil molecules comprise the crude oil molecules and the content of the crude oil molecules; separating a delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition. Compared with the traditional simulation calculation of delayed coking raw material molecules and content, the calculation amount is large, the method can be only used for theoretical calculation and is not beneficial to real-time guidance of production operation, the delayed coking raw material molecular composition with high accuracy can be quickly obtained through the crude oil quick evaluation method, and the prediction speed and accuracy of delayed coking products are improved.
The molecular composition of the vacuum residue obtained by cutting a mixed crude oil using an atmospheric and vacuum distillation apparatus of a certain petrochemical company is exemplified. Firstly, obtaining the molecular composition of crude oil based on crude oil evaluation data; then, distilling and cutting the crude oil to obtain a delayed coking raw material; in order to simplify the calculation, the mass fractions of the delayed coking feedstock molecules are sequenced, and the molecules with the mass fractions of the first 1000 (such as the delayed coking feedstock A, the mass fraction of the model feed of which accounts for 98.3% of the total amount of the vacuum residue, the delayed coking feedstock B, the mass fraction of the model feed of which accounts for 97.9% of the total amount of the vacuum residue) are selected as delayed coking feeds. 30 reaction rules are established, wherein 28 single-molecule reaction rules are established, and 2 multi-molecule reaction rules are established (2 aromatic condensation rules).
To improve the accuracy of the model, the present embodiment calibrates the delayed coking reaction kinetic model before obtaining all components of the delayed coking product and the corresponding predicted content of each component. The calibrated model is used to predict the products of delayed coking feedstock a and delayed coking feedstock B, and the prediction results are shown in table 2 (model test result table for delayed coking feedstock a) and table 3 (model test result table for delayed coking feedstock B), respectively:
TABLE 2
TABLE 3
In tables 2 and 3, the absolute error = calculated yield — actual yield.
And (3) calculating the result: the delayed coking product prediction model constructs 30 reaction rules together, and the device generates 6595 reactions and 3162 reaction products together under the condition that the number of feed molecules is 1000. Run on the compute server (CPU: 4X Intel to Strong platinum 8260 (24 Kernel), memory: 768G) with model run time 408s, approximately 7 minutes. Compared with the existing process simulation software, the model takes petroleum molecules as information carriers, the data scale is obviously improved, the reaction process and the material flow direction of the device can be more accurately described, meanwhile, the calculated amount is controllable, the operation speed is high, and large batches of raw material molecule composition data can be processed.
The current model yield calculation result has small deviation from the actual value, and for two groups of different feeding compositions, the absolute error of the yield of the main product can be controlled within 1 percent and the index requirements can be met. This shows that the delayed coking product prediction model has higher calculation precision while processing a large amount of molecular data, and can realize accurate prediction on the molecular level.
Fig. 4 is a schematic structural diagram of a delayed coking product prediction apparatus provided in an embodiment of the present invention, as shown in fig. 4, the apparatus includes:
an obtaining module 501, configured to obtain a delayed coking feedstock molecular composition, where the delayed coking feedstock molecular composition includes delayed coking feedstock molecules and delayed coking feedstock molecular content; a determining module 502, configured to determine a corresponding reaction path based on a preset delayed coking reaction rule and the delayed coking feedstock molecules, and determine corresponding delayed coking product molecules according to the reaction path, where the delayed coking feedstock molecules, the reaction path, and the delayed coking product molecules form a delayed coking reaction network; a building module 503, configured to build a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network; a prediction module 504, configured to input the content of the delayed coking feedstock molecules into the delayed coking reaction kinetic model, so as to obtain a predicted content of delayed coking product molecules; the building module 503 is further configured to, when a prediction error between the predicted content and the actual content of the delayed coking product molecule is greater than a preset threshold, update the reaction rate constant, and repeatedly perform the step of building a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not greater than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model; the prediction module 504 is further configured to input the delayed coking molecular composition to be predicted into the calibrated delayed coking reaction kinetic model, and output a corresponding delayed coking product molecular composition.
As an embodiment of the present invention, the reaction rate constant is calculated as follows:
wherein ,kis a constant of the rate of the reaction,k a 、k b 、k c respectively, reaction kinetic parameters related to the catalyst, the reaction temperature and the reaction pressure,Ein order to activate the energy of the reaction,Tas the reaction temperature, the reaction temperature is,pin order to obtain the reaction pressure, the reaction solution is,p k is a constant of the effect of reaction pressure on reaction rate.
As an embodiment of the present invention, the building module 503 is specifically configured to: by adjustingk a 、k b Andk c to effect updating of the reaction rate constant.
The calculation formula of the prediction error as an embodiment of the present invention is as follows:
wherein ,Errin order to be able to determine the prediction error,
is as followsiThe predicted content of the seed delayed coking product molecules,
is as followsiThe actual content of the molecules of the delayed coking product,nis the total number of species of the delayed coking product molecules.
As an embodiment of the present invention, the obtaining module 501 is specifically configured to: analyzing a crude oil molecular composition based on the crude oil evaluation data, the crude oil molecular composition comprising crude oil molecules and a crude oil molecular content; separating a delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition.
As an embodiment of the present invention, the obtaining module 501 is specifically configured to: acquiring basic property information and fraction cutting property information of crude oil; inquiring a target crude oil molecule which is most matched with the basic property information of the crude oil in a preset crude oil molecule composition database; determining the target crude oil molecule content based on the cut property information of the crude oil, the target crude oil molecule and the target crude oil molecule content constituting the crude oil molecular composition.
As an embodiment of the present invention, the obtaining module 501 is further configured to: determining a predicted value of the physical property of the crude oil according to the target crude oil molecule and the content of the target crude oil molecule; and under the condition that the error between the crude oil physical property predicted value and the crude oil physical property actual value is smaller than a preset threshold value, determining the target crude oil molecule and the content of the target crude oil molecule as the crude oil molecule composition.
As an embodiment of the present invention, the obtaining module 501 is specifically configured to: calculating the physical property value of each crude oil molecule according to each crude oil molecule in the crude oil and the content of the corresponding crude oil molecule; and performing distillation cutting on the crude oil based on preset fraction limiting conditions to obtain a delayed coking raw material, and determining delayed coking raw material molecules in the delayed coking raw material and the corresponding delayed coking raw material molecule content according to the physical property value of each crude oil molecule and the crude oil molecule content.
As an embodiment of the present invention, the delayed coking feedstock molecules are represented in lump by structure-directed.
As an embodiment of the present invention, the preset delayed coking reaction rule satisfies at least one of the following conditions; each reaction rule describes a reaction path through a structure-oriented aggregation method; the alkane chain scission reactions are all intermediate scission; ring-opening reaction, side chain breaking reaction and aromatization reaction of cycloparaffin; side chain cleavage reaction and condensation reaction of aromatic hydrocarbon; olefin is used as an intermediate reaction product to generate cracking and diene synthesis reaction; the heteroatom is subjected to hydrogen sulfide removal and carbon dioxide removal reactions.
As an embodiment of the present invention, the obtaining module 501 is further configured to: sequencing the delayed coking raw material molecules according to the content of the delayed coking raw material molecules; selecting delayed coking raw material molecules with the content of the delayed coking raw material molecules larger than a preset content value.
The implementation principle and technical effect of the prediction device for delayed coking products provided by the embodiment of the invention are similar to those of the embodiment, and are not described again here.
As shown in fig. 5, an embodiment of the present invention provides an electronic device for delayed coking product prediction, which includes a processor 601, a communication interface 602, a memory 603 and a communication bus 604, wherein the processor 601, the communication interface 602, and the memory 603 complete communication with each other through the communication bus 604, and the memory 603 is used for storing a computer program;
in one embodiment of the present invention, processor 601, when executing the program stored in memory 603, implements the steps of the delayed coking product prediction method provided in any of the above-described method embodiments.
The electronic device provided by the embodiment of the invention has the implementation principle and the technical effect similar to those of the above embodiments, and is not described herein again.
The memory 603 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable and programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 603 has a memory space for program code for performing any of the method steps of the above-described method. For example, the memory space for the program code may comprise respective program codes for implementing respective steps in the above method, respectively. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such computer program products are typically portable or fixed storage units. The storage unit may have a storage section or a storage space or the like arranged similarly to the memory 603 in the electronic device described above. The program code may be compressed, for example, in a suitable form. Typically, the memory unit comprises programs for performing the steps of the method according to embodiments of the present invention, i.e. codes readable by e.g. a processor such as the processor 601, which when executed by an electronic device, cause the electronic device to perform the steps of the method described above.
Embodiments of the present invention also provide a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by the processor 601, performs the steps of the delayed coking product prediction method as described above.
The computer-readable storage medium may be contained in the apparatus/device described in the above embodiments; or may be present alone without being assembled into the device/apparatus. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the present invention.
According to embodiments of the present invention, the computer readable storage medium may be a non-volatile computer readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, 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.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (15)
1. A method of delayed coking product prediction, comprising:
obtaining delayed coking feedstock molecular composition, wherein the delayed coking feedstock molecular composition comprises delayed coking feedstock molecules and delayed coking feedstock molecular content;
determining a reaction path corresponding to the delayed coking raw material molecules and delayed coking product molecules of the reaction path based on a preset delayed coking reaction rule, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network;
constructing a delayed coking reaction kinetic model based on a reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network;
inputting the content of the delayed coking feedstock molecules into the delayed coking reaction kinetic model to obtain the predicted content of delayed coking product molecules;
under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, updating the reaction rate constant, and repeatedly executing the step of constructing a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain a calibrated delayed coking reaction kinetic model;
inputting the delayed coking molecule composition to be predicted into the calibrated delayed coking reaction kinetic model, and outputting the corresponding delayed coking product molecule composition.
2. The method of claim 1, wherein the reaction rate constant is calculated as follows:
3. The method of claim 2, wherein the updating the reaction rate constant comprises:
by adjustingk a 、k b Andk c to effect updating of the reaction rate constant.
4. The method of claim 3, wherein the prediction error is calculated as follows:
5. The method of claim 1, wherein said obtaining a delayed coking feedstock molecular composition comprises:
analyzing a crude oil molecular composition based on the crude oil evaluation data, the crude oil molecular composition comprising crude oil molecules and a crude oil molecular content;
a delayed coking feedstock is separated from the crude oil and a delayed coking feedstock molecular composition is obtained based on the crude oil molecular composition.
6. The method of claim 5, wherein the analyzing a crude molecular composition based on crude evaluation data comprises:
acquiring basic property information and fraction cutting property information of crude oil;
inquiring a target crude oil molecule which is most matched with the basic property information of the crude oil in a preset crude oil molecule composition database;
determining the target crude oil molecule content based on the cut property information of the crude oil, the target crude oil molecule and the target crude oil molecule content constituting the crude oil molecular composition.
7. The method of claim 6, further comprising:
determining a predicted value of the physical property of the crude oil according to the target crude oil molecule and the content of the target crude oil molecule;
and under the condition that the error between the crude oil physical property predicted value and the crude oil physical property actual value is smaller than a preset threshold value, determining the target crude oil molecule and the content of the target crude oil molecule as the crude oil molecule composition.
8. The method of claim 5, wherein separating the delayed coking feedstock from the crude oil and obtaining a delayed coking feedstock molecular composition based on the crude oil molecular composition comprises:
calculating the physical property value of each crude oil molecule according to each crude oil molecule in the crude oil and the content of the corresponding crude oil molecule;
and performing distillation cutting on crude oil based on preset fraction limiting conditions to obtain a delayed coking raw material, and determining delayed coking raw material molecules in the delayed coking raw material and the corresponding delayed coking raw material molecule content according to the physical property value of each crude oil molecule and the crude oil molecule content.
9. The method of claim 1, wherein the delayed coking feedstock molecules are represented in lump by structure-directed.
10. The method of claim 9, wherein the pre-set delayed coking reaction rule satisfies at least one of the following conditions;
each reaction rule describes a reaction path through a structure-oriented aggregation method;
the alkane chain scission reactions are all intermediate scission;
ring-opening reaction, side chain breaking reaction and aromatization reaction of cycloparaffin;
side chain cleavage reaction and condensation reaction of aromatic hydrocarbon;
olefin is used as an intermediate reaction product to generate cracking and diene synthesis reaction;
the heteroatom is subjected to hydrogen sulfide removal and carbon dioxide removal reactions.
11. The method of claim 5, wherein after obtaining the delayed coking feedstock molecular composition based on the crude oil molecular composition, further comprising:
sequencing the delayed coking raw material molecules according to the content of the delayed coking raw material molecules;
selecting delayed coking raw material molecules with the content of the delayed coking raw material molecules larger than a preset content value.
12. A delayed coking product prediction unit, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring delayed coking feedstock molecular composition, and the delayed coking feedstock molecular composition comprises delayed coking feedstock molecules and delayed coking feedstock molecular content;
the determination module is used for determining a corresponding reaction path based on a preset delayed coking reaction rule and the delayed coking raw material molecules, and determining corresponding delayed coking product molecules according to the reaction path, wherein the delayed coking raw material molecules, the reaction path and the delayed coking product molecules form a delayed coking reaction network;
the building module is used for building a delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network;
the prediction module is used for inputting the molecular content of the delayed coking raw material into the delayed coking reaction kinetic model to obtain the predicted content of the delayed coking product molecules;
the construction module is used for updating the reaction rate constant under the condition that the prediction error between the predicted content and the actual content of the delayed coking product molecules is larger than a preset threshold, and repeatedly executing the step of constructing the delayed coking reaction kinetic model based on the reaction rate constant corresponding to each delayed coking reaction rule and the delayed coking reaction network until the prediction error is not larger than the preset threshold, so as to obtain the calibrated delayed coking reaction kinetic model;
and the prediction module is used for inputting the delayed coking molecule composition to be predicted into the calibrated delayed coking reaction kinetic model and outputting the corresponding delayed coking product molecule composition.
13. The apparatus of claim 12, wherein the reaction rate constant is calculated as follows:
14. The electronic equipment for predicting the delayed coking products is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the delayed coking product prediction method of any one of claims 1 to 11 when executing a program stored on a memory.
15. A computer-readable storage medium, having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, is adapted to carry out the steps of the delayed coking product prediction method according to any one of claims 1 to 11.
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