CN115860267A - Refinery logistics value estimation method and device, equipment and storage medium - Google Patents
Refinery logistics value estimation method and device, equipment and storage medium Download PDFInfo
- Publication number
- CN115860267A CN115860267A CN202310133356.1A CN202310133356A CN115860267A CN 115860267 A CN115860267 A CN 115860267A CN 202310133356 A CN202310133356 A CN 202310133356A CN 115860267 A CN115860267 A CN 115860267A
- Authority
- CN
- China
- Prior art keywords
- value
- physical property
- material flow
- parameters
- oil
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000003860 storage Methods 0.000 title claims description 15
- 230000000704 physical effect Effects 0.000 claims abstract description 125
- 239000003921 oil Substances 0.000 claims abstract description 72
- 238000006243 chemical reaction Methods 0.000 claims abstract description 47
- 239000010779 crude oil Substances 0.000 claims abstract description 41
- 239000000463 material Substances 0.000 claims abstract description 34
- 239000000203 mixture Substances 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims abstract description 10
- 238000010606 normalization Methods 0.000 claims abstract description 5
- 239000013077 target material Substances 0.000 claims description 52
- 239000000376 reactant Substances 0.000 claims description 24
- 238000004891 communication Methods 0.000 claims description 18
- 238000005984 hydrogenation reaction Methods 0.000 claims description 14
- 230000008901 benefit Effects 0.000 claims description 10
- 238000005457 optimization Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 9
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000002156 mixing Methods 0.000 claims description 6
- 230000017105 transposition Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 5
- 238000004939 coking Methods 0.000 claims description 4
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 3
- 238000009835 boiling Methods 0.000 claims description 3
- 238000004523 catalytic cracking Methods 0.000 claims description 3
- 238000004517 catalytic hydrocracking Methods 0.000 claims description 3
- 238000001833 catalytic reforming Methods 0.000 claims description 3
- 238000012512 characterization method Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 3
- 230000003111 delayed effect Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000005194 fractionation Methods 0.000 claims description 3
- 239000007789 gas Substances 0.000 claims description 3
- 239000001257 hydrogen Substances 0.000 claims description 3
- 229910052739 hydrogen Inorganic materials 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000035484 reaction time Effects 0.000 claims description 3
- 230000029936 alkylation Effects 0.000 claims description 2
- 238000005804 alkylation reaction Methods 0.000 claims description 2
- 239000002994 raw material Substances 0.000 abstract description 3
- 238000004220 aggregation Methods 0.000 abstract description 2
- 230000002776 aggregation Effects 0.000 abstract description 2
- 238000011002 quantification Methods 0.000 abstract description 2
- 230000009471 action Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 2
- CIWBSHSKHKDKBQ-JLAZNSOCSA-N Ascorbic acid Chemical compound OC[C@H](O)[C@H]1OC(=O)C(O)=C1O CIWBSHSKHKDKBQ-JLAZNSOCSA-N 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
- 125000003118 aryl group Chemical group 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000003197 catalytic effect Effects 0.000 description 1
- 238000004821 distillation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000002052 molecular layer Substances 0.000 description 1
- TVMXDCGIABBOFY-UHFFFAOYSA-N octane Chemical compound CCCCCCCC TVMXDCGIABBOFY-UHFFFAOYSA-N 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 239000013076 target substance Substances 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
Abstract
The method for estimating the logistics value of the refinery comprises the steps of calculating the molecular physical properties of crude oil and various oil products from the molecular level based on a structure-oriented aggregation method, carrying out value quantification treatment on the physical properties of the crude oil and various oil products, calculating the physical property total value of the crude oil and the physical property total value income of various oil products by introducing a physical property value parameter E and utilizing methods such as normalization and the like, evaluating the value of logistics from the whole process of the refinery, realizing the conversion from a material flow to a value flow, and providing a basis and a basis for the adjustment of raw materials, processing conditions and product compositions of the refinery.
Description
Technical Field
The disclosure relates to the technical field of petrochemical industry, in particular to a refinery logistics value estimation method, a device, equipment and a storage medium.
Background
The evaluation method of the crude oil value of the refining enterprise is mainly divided into the following methods: firstly, single oil type measurement algorithm; second, cost reduction; third, crude oil cost-keeping method; fourthly, selecting crude oil classification; fifth, coefficient of technology method.
Disclosure of Invention
In order to solve the technical problem or at least partially solve the technical problem, embodiments of the present disclosure provide a refinery logistics value estimation method and apparatus, a device, and a storage medium.
In a first aspect, an embodiment of the present disclosure provides a method for estimating a value of a refinery material flow, including:
determining the physical property value parameter of the oil product according to the value attribute and the physical property parameter of the oil product;
tracking the material flow of the refinery at a molecular level, and calculating physical parameters of a target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method;
determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and (3) adjusting the reaction operating conditions corresponding to the material flows and the flow and physical parameters of the reactants according to the maximum value gain of the target material flow as an optimization target, and determining the reaction operating conditions and the flow and physical parameters of the reactants when the value gain of the target material flow is maximum.
In one possible embodiment, the property value parameter of the oil is determined from the value attribute and the property parameter of the oil by the following expression:
wherein ,
is the normalized value of the nth physical parameter of the nth oil product, N is the normalized value, and is the value after normalization>
Is the value attribute of the oil product of the first kind, l is the number of the oil product types, n is the number of items of the physical property parameter of the oil product, T represents a transposition matrix, and the judgment result is based on the transposition matrix>
Is a physical property value parameter of the n-th physical property parameter.
In one possible embodiment, the normalized value of the i-th physical property parameter is calculated by the following expression:
wherein ,
is the normalized value of the i-th physical property parameter>
Is the i physical property parameter>
Is the theoretical minimum value of the i physical property parameter>
Is the theoretical maximum value of the physical property parameter of the i-th item.
In one possible embodiment, the theoretical minimum and maximum values of the ith physical property parameter are calculated by a group contribution method or searched from a predetermined molecular database.
In one possible embodiment, the quantity of oil is equal to the number of terms of the physical property parameter.
In a possible embodiment, the material flow is a reaction trend of a product generated by taking a fraction of a preset crude oil as a reactant and a secondary processing device model as a reaction model according to a preset reaction rule set corresponding to the reaction model, wherein the fraction and the product of the crude oil are represented based on a structure-oriented lumped method.
In one possible embodiment, the tracking of the molecular level of the material flow of the refinery and the calculation of the physical parameters of the target material flow comprise:
performing molecular level characterization on preset crude oil based on a structure-oriented lumped method;
cutting preset crude oil according to boiling points to obtain molecular compositions of different crude oil fractions;
calculating the molecular physical properties of each crude oil fraction;
corresponding each crude oil fraction to a secondary processing device model according to the physical property requirement of the device model to generate a material flow;
calculating the physical properties of the single-molecule products in the material flow by using a group contribution method;
and calculating the physical properties of the product mixture by using a preset mixing rule.
In a possible embodiment, the preset mixing rule is a weighted average of the single-molecule properties in the mixture, or a pre-constructed mixture property prediction model.
In one possible embodiment, the secondary processing unit model includes at least one of a distillation model, a catalytic cracking model, a delayed coking model, a hydrocracking model, a catalytic reforming model, a gasoline hydrogenation model, a diesel hydrogenation model, a wax oil hydrogenation model, a catalytic coking diesel hydrogenation model, a gas fractionation model, an aromatic extraction model, and a hydrogen production model.
In one possible embodiment, the value benefit of the target stream is determined from the physical property parameter of the target stream and the physical property value parameter of the oil based on the following expression:
wherein ,
for the value gain of the target material flow, m is the number of the types of crude oil, l is the number of the types of oil products, and n is the number of terms of physical parameters of the oil products;
In one possible embodiment, the adjusting the material flow corresponding to the reaction operation condition and the flow rate and physical parameters of the reactants comprises:
based on preset flow constraint conditions, physical property constraint conditions and reaction condition operation constraint conditions
Value is carried outMulti-element function non-linear optimization to determine->
The maximum reaction operating conditions, and the flow rates and physical properties of the reactants.
In one possible embodiment, the reaction operating conditions include at least one of reaction time length, reaction temperature and reaction pressure.
In a second aspect, an embodiment of the present disclosure provides a refinery logistics value estimation apparatus, including:
the first determination module is used for determining the physical property value parameters of the oil product according to the value attributes and the physical property parameters of the oil product;
the calculating module is used for tracking the material flow of the refinery at a molecular level and calculating the physical property parameters of the target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method;
the second determination module is used for determining the value benefit of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and the adjusting module is used for adjusting the reaction operating conditions corresponding to the material flow, the flow rate and the physical property parameters of the reactants and determining the reaction operating conditions and the flow rate and the physical property parameters of the reactants when the value gain of the target material flow is maximum.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the refinery logistics value estimation method when executing the program stored in the memory.
In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the refinery logistics value estimation method described above.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure at least has part or all of the following advantages:
according to the refinery logistics value estimation method disclosed by the embodiment of the disclosure, the physical property value parameters of the oil products are determined according to the value attributes and the physical property parameters of the oil products; tracking the material flow of the refinery at a molecular level, and calculating physical parameters of a target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method; determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product; the method comprises the steps of adjusting reaction operation conditions corresponding to material flows and flow and physical property parameters of reactants and determining the reaction operation conditions and the flow and physical property parameters of the reactants when the value gain of the target material flows is maximum by taking the value gain of the target material flows as an optimization target, performing molecular physical property calculation on crude oil and various oil products from a molecular level based on a structure-oriented lumped method, performing value quantification treatment on the physical properties of the crude oil and various oil products, calculating the physical property total value of the crude oil and the physical property total value gain of various oil products by introducing a physical property value index E and utilizing a normalization method and the like, performing value evaluation on material flows from a molecular layer to material flows from the whole process of a refinery, realizing conversion from the material flows to the value flows, and providing a basis and basis for adjustment of raw materials, processing conditions and product compositions of the refinery.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the related art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 schematically illustrates a flow diagram of a refinery stream value estimation method according to an embodiment of the disclosure;
FIG. 2 schematically illustrates a block diagram of a refinery logistics value estimation device model according to an embodiment of the present disclosure; and
fig. 3 schematically shows a block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Referring to fig. 1, an embodiment of the present disclosure provides a refinery logistics value estimation method, including the following steps:
s1, determining physical property value parameters of an oil product according to the value attributes and the physical property parameters of the oil product;
s2, tracking the material flow of the refinery at a molecular level, and calculating physical parameters of the target material flow, wherein the molecules in the target material flow are expressed based on a structure-oriented lumped method;
in some embodiments, the material flow takes a fraction of a predetermined crude oil as a reactant, takes the secondary processing unit model as a reaction model, and generates a reaction trend of a product according to a predetermined reaction rule set corresponding to the reaction model, wherein the fraction and the product of the crude oil are represented based on a structure-oriented lumped method.
In some embodiments, the secondary processing is one of resid hydrogenation, catalytic cracking, delayed coking, hydrocracking, catalytic reforming, alkylation, gasoline hydrogenation, diesel hydrogenation, wax oil hydrogenation, gasoline and diesel hydrogenation, gas fractionation, aromatics extraction, and hydrogen production.
S3, determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and S4, adjusting the reaction operating conditions corresponding to the material flows and the flow and physical parameters of the reactants according to the maximum value gain of the target material flows as an optimization target, and determining the reaction operating conditions and the flow and physical parameters of the reactants when the value gain of the target material flows is maximum.
In some embodiments, the reaction operating conditions include at least one of reaction time length, reaction temperature, and reaction pressure.
In this embodiment, in step S1, the physical property value parameter of the oil product is determined according to the value attribute and the physical property parameter of the oil product by the following expression:
wherein ,
is the normalized value of the nth physical parameter of the nth oil product, N is the normalized value, and is the value after normalization>
Is the value attribute of the oil product of the first kind, l is the number of the oil product types, n is the number of items of the physical property parameter of the oil product, T represents a transposition matrix, and the judgment result is based on the transposition matrix>
Is a physical property value parameter of the n-th physical property parameter.
In the present embodiment, the solution is carried out
In the process of (2), when the number of the oil products is equal to the number of items of the physical property parameter, the obtained value is->
When the number of the oil products is less than the item number of the physical property parameter, the obtained->
From the plurality of sets of solutions, selecting from the plurality of sets of solutionsTakes the most approximate solution and selects it in such a way that->
Each value is greater than 1.
In this embodiment, the normalized value of the property parameter of the i-th item is calculated by the following expression:
wherein ,
is the normalized value of the i-th physical property parameter>
Is the i physical property parameter>
Is the theoretical minimum value of the i physical property parameter>
Is the theoretical maximum value of the i physical property parameter, wherein the theoretical minimum value and the theoretical maximum value of the i physical property parameter are calculated by a radical contribution method (namely, the mixture is assumed to be composed of molecules which have the largest influence on the physical property, and then the theoretical maximum value and the theoretical minimum value are calculated by the radical contribution method), or are searched from a preset molecule database. In the case of physical properties such as a certain element content, the theoretical maximum value and the theoretical minimum value are 1 and 0, respectively.
In this embodiment, in step S2, the tracking the material flow of the refinery at the molecular level and calculating the physical property parameter of the target material flow includes:
performing molecular level characterization on preset crude oil based on a structure-oriented lumped method;
cutting preset crude oil according to boiling points to obtain molecular compositions of different crude oil fractions;
calculating the molecular physical properties of each crude oil fraction;
corresponding each crude oil fraction to a secondary processing device model according to the physical property requirement of the device model to generate a material flow;
calculating the physical properties of the single-molecule products in the material flow by using a group contribution method;
and calculating the physical properties of the product mixture by using a preset mixing rule.
In this embodiment, the preset mixing rule is a weighted average of the individual single-molecule properties in the mixture, or a mixture property prediction model that is constructed in advance. For example, some properties of a mixture are linear, calculated by weighted averaging and interpolation of individual single-molecule properties in the mixture; other properties such as octane number, cetane number, etc. are not linear and require the establishment of a special mixture property prediction model.
In this embodiment, in step S3, the value gain of the target material flow is determined according to the physical property parameter of the target material flow and the physical property value parameter of the oil product based on the following expression:
wherein ,
for the value gain of the target substance flow, m is the number of crude oil types, l is the number of oil types, and/or>
Is the normalized value of the physical property parameter of the ith item of the jth product oil product>
Is the normalized value of the i physical property parameter of the kth crude oil>
Is the flow of the jth product oil>
Is the flow of the kth crude oil>
Is a physical property value parameter of the i-th physical property parameter.
In this embodiment, in step S4, the adjusting substance flow includes the following steps:
based on preset flow constraint conditions, physical property constraint conditions and reaction condition operation constraint conditions
The value is subjected to a multivariate function non-linear optimization to determine->
The maximum reaction operating conditions, and the flow rates and physical properties of the reactants.
The refinery logistics value estimation method disclosed by the invention is based on a structure-oriented aggregation method, the molecular physical property calculation is realized from the molecular level, the physical properties of the crude oil or oil product are converted into the physical property value by introducing the value index E and fitting with the actual crude oil or oil product price, and further optimization and adjustment of raw material purchase, processing conditions and product composition of the whole process of a refinery can be guided on the basis of the physical property value.
Referring to fig. 2, an embodiment of the present disclosure provides a refinery logistics value estimation apparatus, including:
the first determining module 11 is used for determining the physical property value parameters of the oil product according to the value attributes and the physical property parameters of the oil product;
the calculating module 12 is used for tracking the material flow of the refinery at a molecular level and calculating the physical property parameters of the target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method;
the second determining module 13 is used for determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and the adjusting module 14 is used for adjusting the reaction operating conditions corresponding to the material flow and the flow rate and physical property parameters of the reactants according to the maximum value attribute of the target material flow as the optimization target, and determining the reaction operating conditions and the flow rate and physical property parameters of the reactants when the value gain of the target material flow is maximum.
The implementation process of the functions and actions of each unit in the device model is specifically described in the implementation process of the corresponding step in the method, and is not described herein again.
For the device model embodiment, since it basically corresponds to the method embodiment, the relevant points may be referred to the partial description of the method embodiment. The above-described embodiments of the device model are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
In the second embodiment, any number of the first determining module 11, the calculating module 12, the second determining module 13 and the adjusting module 14 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. At least one of the first determining module 11, the calculating module 12, the second determining module 13 and the adjusting module 14 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware by any other reasonable way of integrating or packaging a circuit, or in any one of or a suitable combination of three ways of software, hardware and firmware. Alternatively, at least one of the first determining module 11, the calculating module 12, the second determining module 13 and the adjusting module 14 may be at least partly implemented as a computer program module, which when executed may perform a corresponding function.
Based on the same inventive concept, referring to fig. 3, another exemplary embodiment of the present disclosure provides an electronic device, which includes a processor 1110, a communication interface 1120, a memory 1130, and a communication bus 1140, wherein the processor 1110, the communication interface 1120, and the memory 1130 complete communication with each other through the communication bus 1140;
a memory 1130 for storing computer programs;
the processor 1110, when executing the program stored in the memory 1130, implements the refinery logistics value estimation method as follows:
determining the physical property value parameters of the oil product according to the value attributes and the physical property parameters of the oil product;
tracking the material flow of the refinery at a molecular level, and calculating physical parameters of a target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method;
determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and (3) adjusting the reaction operating conditions corresponding to the material flow and the flow and physical parameters of the reactants according to the maximum value benefit of the target material flow as an optimization target, and determining the reaction operating conditions and the flow and physical parameters of the reactants when the value benefit of the target material flow is maximum.
The communication bus 1140 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 1120 is used for communication between the electronic device and other devices.
The memory 1130 may include a Random Access Memory (RAM) or a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, memory 1130 may also be at least one memory device model located remotely from processor 1110 as previously described.
The Processor 1110 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Embodiments of the present disclosure also provide a computer-readable storage medium. The computer readable storage medium stores thereon a computer program that when executed by a processor implements the refinery logistics value estimation method as described above.
The computer-readable storage medium may be included in the device/apparatus model described in the above embodiments; or may exist alone without being assembled into the device/apparatus model. The above-mentioned computer-readable storage medium carries one or more programs which, when executed, implement the refinery logistics value estimation method according to an embodiment of the present disclosure.
According to embodiments of the present disclosure, 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 disclosure, 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 model, 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 a," "8230," "8230," or "comprising" 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 disclosure, which enable those skilled in the art to understand or practice the present disclosure. 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 disclosure. Thus, the present disclosure 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 estimating refinery stream value, the method comprising:
determining the physical property value parameters of the oil product according to the value attributes and the physical property parameters of the oil product;
tracking the material flow of a refinery at a molecular level, and calculating physical parameters of a target material flow, wherein molecules in the target material flow are represented based on a structure-oriented lumped method;
determining the value gain of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and (3) adjusting the reaction operating conditions corresponding to the material flows and the flow and physical parameters of the reactants according to the maximum value gain of the target material flow as an optimization target, and determining the reaction operating conditions and the flow and physical parameters of the reactants when the value gain of the target material flow is maximum.
2. The method of claim 1, wherein the property value parameter of the oil is determined from the value property and the property parameter of the oil by the following expression:
3. The method according to claim 2, wherein the normalized value of the property parameter of the i-th term is calculated by the following expression:
4. The method of claim 3, wherein the theoretical minimum and maximum values of the ith physical property parameter are calculated by a group contribution method or are searched from a predetermined molecular database.
5. The method of claim 2, wherein the quantity of oil is equal to the number of terms of the physical property parameter.
6. The method of claim 1, wherein the material flow is a reaction trend of a product generated by using a fraction of a preset crude oil as a reactant and a secondary processing device model as a reaction model according to a preset reaction rule set corresponding to the reaction model, wherein the fraction and the product of the crude oil are represented based on a structure-oriented lumped method.
7. The method of claim 6, wherein tracking the molecular level of the refinery stream and calculating the physical parameters of the target stream comprises:
performing molecular level characterization on preset crude oil based on a structure-oriented lumped method;
cutting preset crude oil according to boiling points to obtain molecular compositions of different crude oil fractions;
calculating the molecular physical properties of each crude oil fraction;
corresponding each crude oil fraction to a secondary processing device model according to the physical property requirement of the device model to generate a material flow;
calculating the physical properties of the single-molecule products in the material flow by using a group contribution method;
and calculating the physical properties of the product mixture by using a preset mixing rule.
8. The method of claim 7, wherein the predetermined mixing rule is a weighted average of the individual single-molecule properties of the mixture or a pre-constructed mixture property prediction model.
9. The method of claim 6, wherein the secondary processing is one of residue hydrogenation, catalytic cracking, delayed coking, hydrocracking, catalytic reforming, alkylation, gasoline hydrogenation, diesel hydrogenation, wax oil hydrogenation, gasoline and diesel hydrogenation, gas fractionation, aromatics extraction, and hydrogen production.
10. The method of claim 1, wherein the value gain of the target stream is determined from the physical property parameters of the target stream and the physical property value parameters of the oil based on the following expression:
wherein, total benefit is the value gain of the target material flow, m is the number of crude oil types, l is the number of oil types, and n is the number of terms of physical parameters of the oil;
the normalized value of the i-th physical property parameter of the j-th product oil product, the normalized value of the i-th physical property parameter of the k-th crude oil, the flow rate of the j-th product oil product, the flow rate of the k-th crude oil and the physical property value parameter of the i-th physical property parameter.
11. The method of claim 10, wherein said adjusting the material flow to correspond to the reaction operating conditions and the flow and physical parameters of the reactants comprises:
and performing multivariate function nonlinear optimization on the Total benefit value based on preset flow constraint conditions, physical property constraint conditions and reaction condition operation constraint conditions, and determining the reaction operation condition when the Total benefit is maximum, and the flow and physical property parameters of the reactants.
12. The process of claim 1, wherein the reaction operating conditions include at least one of reaction time length, reaction temperature, and reaction pressure.
13. An apparatus for estimating a value of a refinery stream, comprising:
the first determining module is used for determining the physical property value parameters of the oil product according to the value attributes and the physical property parameters of the oil product;
the calculating module is used for tracking the material flow of the refinery at a molecular level and calculating the physical property parameters of the target material flow, wherein the molecules in the target material flow are represented based on a structure-oriented lumped method;
the second determination module is used for determining the value benefit of the target material flow according to the physical property parameters of the target material flow and the physical property value parameters of the oil product;
and the adjusting module is used for adjusting the reaction operating conditions corresponding to the material flow, the flow rate and the physical property parameters of the reactants and determining the reaction operating conditions and the flow rate and the physical property parameters of the reactants when the value gain of the target material flow is maximum.
14. An electronic device for estimating the logistics value of a refinery 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 refinery stream value estimation method according to any one of claims 1 to 12 when executing the program stored in the memory.
15. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the refinery stream value estimation method of any one of claims 1-12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310133356.1A CN115860267B (en) | 2023-02-20 | 2023-02-20 | Method, device, equipment and storage medium for estimating logistics value of refinery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310133356.1A CN115860267B (en) | 2023-02-20 | 2023-02-20 | Method, device, equipment and storage medium for estimating logistics value of refinery |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115860267A true CN115860267A (en) | 2023-03-28 |
| CN115860267B CN115860267B (en) | 2023-06-06 |
Family
ID=85658417
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310133356.1A Active CN115860267B (en) | 2023-02-20 | 2023-02-20 | Method, device, equipment and storage medium for estimating logistics value of refinery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115860267B (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2165632C1 (en) * | 2000-07-28 | 2001-04-20 | Общество с ограниченной ответственностью "НВП Центр-ЭСТАгео" | Method of evaluating technological properties and dressability of mineral raw materials |
| JP2004171292A (en) * | 2002-11-20 | 2004-06-17 | Petroleum Energy Center | Optimized operating system for petroleum manufacturing |
| WO2005020118A1 (en) * | 2003-08-18 | 2005-03-03 | General Electric Company | Method and system for assessing and optimizing crude selection |
| CN102213949A (en) * | 2010-04-08 | 2011-10-12 | 中国石油化工股份有限公司 | Method for optimizing value of ethylene device |
| CN103087757A (en) * | 2011-10-28 | 2013-05-08 | 中国石油化工股份有限公司 | Petrochemical enterprise petrochemical product value maximization achievement method |
| CN103087751A (en) * | 2011-10-28 | 2013-05-08 | 中国石油化工股份有限公司 | Industrial cracking furnace value maximization model construction method |
| CN108898242A (en) * | 2018-06-07 | 2018-11-27 | 武汉理工大学 | A kind of multiple target Crude Oil Purchase optimization method |
| CN109919410A (en) * | 2019-01-09 | 2019-06-21 | 石化盈科信息技术有限责任公司 | The Valuation Method and computer readable storage medium of crude oil and raw material |
| CN109960235A (en) * | 2018-11-29 | 2019-07-02 | 中国石油化工股份有限公司 | Refinery device real-time optimization method and apparatus based on mechanism model |
| CN111899795A (en) * | 2020-06-12 | 2020-11-06 | 中国石油天然气股份有限公司 | Molecular-level oil refining processing full-flow optimization method, device and system and storage medium |
| CN111899793A (en) * | 2020-06-12 | 2020-11-06 | 中国石油天然气股份有限公司 | Real-time optimization method, device and system of molecular-level device and storage medium |
| CN112750504A (en) * | 2019-10-30 | 2021-05-04 | 中国石油化工股份有限公司 | Storage, original equipment-based hydrogen network optimization method, device and equipment |
| CN112947343A (en) * | 2021-03-03 | 2021-06-11 | 中国石油化工股份有限公司 | Oil refining chemical plant production target tracking control method and device |
| CN113689110A (en) * | 2021-08-20 | 2021-11-23 | 东北大学 | Method and system for evaluating working procedures in manufacturing production system |
| CN114446398A (en) * | 2020-10-19 | 2022-05-06 | 中国石油化工股份有限公司 | Memory, refining process full-flow simulation method, device and equipment |
| CN114742502A (en) * | 2022-04-14 | 2022-07-12 | 中国石油大学(北京) | Finished oil pipeline conveying coordination optimization system |
-
2023
- 2023-02-20 CN CN202310133356.1A patent/CN115860267B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2165632C1 (en) * | 2000-07-28 | 2001-04-20 | Общество с ограниченной ответственностью "НВП Центр-ЭСТАгео" | Method of evaluating technological properties and dressability of mineral raw materials |
| JP2004171292A (en) * | 2002-11-20 | 2004-06-17 | Petroleum Energy Center | Optimized operating system for petroleum manufacturing |
| WO2005020118A1 (en) * | 2003-08-18 | 2005-03-03 | General Electric Company | Method and system for assessing and optimizing crude selection |
| CN102213949A (en) * | 2010-04-08 | 2011-10-12 | 中国石油化工股份有限公司 | Method for optimizing value of ethylene device |
| CN103087757A (en) * | 2011-10-28 | 2013-05-08 | 中国石油化工股份有限公司 | Petrochemical enterprise petrochemical product value maximization achievement method |
| CN103087751A (en) * | 2011-10-28 | 2013-05-08 | 中国石油化工股份有限公司 | Industrial cracking furnace value maximization model construction method |
| CN108898242A (en) * | 2018-06-07 | 2018-11-27 | 武汉理工大学 | A kind of multiple target Crude Oil Purchase optimization method |
| CN109960235A (en) * | 2018-11-29 | 2019-07-02 | 中国石油化工股份有限公司 | Refinery device real-time optimization method and apparatus based on mechanism model |
| CN109919410A (en) * | 2019-01-09 | 2019-06-21 | 石化盈科信息技术有限责任公司 | The Valuation Method and computer readable storage medium of crude oil and raw material |
| CN112750504A (en) * | 2019-10-30 | 2021-05-04 | 中国石油化工股份有限公司 | Storage, original equipment-based hydrogen network optimization method, device and equipment |
| CN111899795A (en) * | 2020-06-12 | 2020-11-06 | 中国石油天然气股份有限公司 | Molecular-level oil refining processing full-flow optimization method, device and system and storage medium |
| CN111899793A (en) * | 2020-06-12 | 2020-11-06 | 中国石油天然气股份有限公司 | Real-time optimization method, device and system of molecular-level device and storage medium |
| CN114446398A (en) * | 2020-10-19 | 2022-05-06 | 中国石油化工股份有限公司 | Memory, refining process full-flow simulation method, device and equipment |
| CN112947343A (en) * | 2021-03-03 | 2021-06-11 | 中国石油化工股份有限公司 | Oil refining chemical plant production target tracking control method and device |
| CN113689110A (en) * | 2021-08-20 | 2021-11-23 | 东北大学 | Method and system for evaluating working procedures in manufacturing production system |
| CN114742502A (en) * | 2022-04-14 | 2022-07-12 | 中国石油大学(北京) | Finished oil pipeline conveying coordination optimization system |
Non-Patent Citations (4)
| Title |
|---|
| SUSANA M.G. SANTOS ET AL: "Expected value, downside risk and upside potential as decision criteria in production strategy selection for petroleum field development", 《 JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING》 * |
| 董丰莲等: "石油产业链一体化优化模型系统的开发与应用", 《油气与新能源》 * |
| 赵庆飞;李丽娜;徐向华;杨怀义;李志学;: "天然气储量价值评估模型", 资源与产业 * |
| 陈美汝: "原油常减压装置下的生产优化算法研究及软件开发", 《中国优秀硕士学位论文全文数据库》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115860267B (en) | 2023-06-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230110441A1 (en) | Method and System For Real-Time Optimization of Molecular-Level Device, and Storage Medium | |
| Enders et al. | Grain prices, oil prices, and multiple smooth breaks in a VAR | |
| Pasadakis et al. | Octane number prediction for gasoline blends | |
| US20230073816A1 (en) | Optimization Method and System for Whole Process of Molecular-level Oil Refinery Processing and Storage Medium | |
| Elgowainy et al. | Energy efficiency and greenhouse gas emission intensity of petroleum products at US refineries | |
| Kaiser | A review of refinery complexity applications | |
| US10628750B2 (en) | Systems and methods for improving petroleum fuels production | |
| CN111899798B (en) | Crude oil data management method, system, device and storage medium | |
| Leiras et al. | Petroleum refinery operational planning using robust optimization | |
| Shahandeh et al. | Modeling and optimization of the upgrading and blending operations of oil sands bitumen | |
| Joshi et al. | Estimation of gross refining margin of Indian petroleum refineries using Driscoll-Kraay standard error estimator | |
| Hu et al. | Molecular modeling and optimization for catalytic reforming | |
| Siamizade | Global optimization of refinery-wide production planning with highly nonlinear unit models | |
| Menezes et al. | Nonlinear production planning of oil-refinery units for the future fuel market in Brazil: process design scenario-based model | |
| Gong | Effects of ownership and business portfolio on production in the oil and gas industry | |
| Sales et al. | An integrated optimization and simulation model for refinery planning including external loads and product evaluation | |
| CN107250787A (en) | The relative evaluation method of naphtha stream | |
| WO2021065638A1 (en) | System, method, and program | |
| CN115860267B (en) | Method, device, equipment and storage medium for estimating logistics value of refinery | |
| Alboqami et al. | A methodology for designing octane number of fuels using genetic algorithms and artificial neural networks | |
| Chang et al. | Predictive modeling of large-scale integrated refinery reaction and fractionation systems from plant data. Part 1: hydrocracking processes | |
| Noh et al. | An optimization based strategy for crude selection in a refinery with lube hydro-processing | |
| Stratiev et al. | Evaluation of accuracy of literature gasoline blending models to predict octane numbers of gasoline blends | |
| Kamari et al. | Modeling of the properties of gasoline and petroleum fractions using a robust scheme | |
| He et al. | Improved integrated optimization method of gasoline blend planning and real-time blend recipes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |