CN108536108A - A kind of real-time optimization method of atmospheric and vacuum distillation unit - Google Patents
A kind of real-time optimization method of atmospheric and vacuum distillation unit Download PDFInfo
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- CN108536108A CN108536108A CN201810471035.1A CN201810471035A CN108536108A CN 108536108 A CN108536108 A CN 108536108A CN 201810471035 A CN201810471035 A CN 201810471035A CN 108536108 A CN108536108 A CN 108536108A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The present invention relates to a kind of real-time optimization methods of atmospheric and vacuum distillation unit, the present invention being used and being solved by the macroscopic property data of collection analysis crude oil and pump-around stream stock, the fitting that crude oil detailed molecular forms, the structure of history crude oil molecular database, crude oil molecule Slicing Model for Foreign and operational research plan model, obtain optimal technological parameter collection, it is transferred to advanced control system and Distributed Control System, realizes the real-time optimization of atmospheric and vacuum distillation unit.The present invention can greatly promote the accuracy, real-time and reliability of atmospheric and vacuum distillation unit real-time optimization system.
Description
Technical field
The present invention relates to the real-time of petroleum refining and Petrochemical Production Technologies field more particularly to a kind of atmospheric and vacuum distillation unit
Optimization method.
Background technology
The real-time optimization of process units operation is oil refining and the weight that petroleum chemical enterprise realizes intelligent production, promotes economic benefit
Want means.Real-time optimization can be according to the information such as raw material attribute, product demand, raw material and the product price of dynamic change, Yi Jijing
Apparatus structure, operating condition scope limitation of state etc., the dynamic operation scheme for generating optimization so that the device moment is maintained at most
Excellent mode of operation.
Current existing real-time optimization technology needs to carry out modelling by mechanism, the i.e. device from basis to optimization object device first
The links such as the thermodynamic phenomenon occurred in the chemical reaction that is occurred in structure, device, device, carry out device mechanistic
Simulation.After the structure for completing mechanism model, the math equation group involved by mechanism model is carried out with computer processor
Optimization Solution obtains the operation scheme of optimization.The key link of the above method is accurate, the detailed process units mechanism of structure
Model.
The limitation of current this real-time optimization method is following aspects:1) the structure difficulty of mechanism model is big, institute
The model of structure is difficult often to fit like a glove with produce reality;2) math equation group caused by mechanism model is in large scale, fortune
The speed that solution is optimized with computer processor is slow, leads to input number of the mechanism model of current real-time optimization for calculating
According to for the average data in for the previous period, therefore mechanism model can not rapidly cope with the suddenly change of production environment;3) machine
The huge of reason scale of model causes Optimization Solution to be easy not obtaining a result, and real-time optimization is caused to fail.
Invention content
The present invention be overcome above-mentioned shortcoming, and it is an object of the present invention to provide a kind of atmospheric and vacuum distillation unit real-time optimization method,
The present invention is former by the macroscopic property data of collection analysis crude oil and pump-around stream stock, the fitting of crude oil detailed molecular composition, history
The structure of oil subdata base, crude oil molecule Slicing Model for Foreign and operational research plan model using and solving, and obtains optimal
Technological parameter collection is transferred to advanced control system and Distributed Control System, realizes the real-time optimization of atmospheric and vacuum distillation unit.The present invention
The accuracy, real-time and reliability of atmospheric and vacuum distillation unit real-time optimization system can be greatly promoted.
The present invention is to reach above-mentioned purpose by the following technical programs:A kind of real-time optimization method of atmospheric and vacuum distillation unit, packet
Include following steps:
(1) detect and obtain the crude oil of atmospheric and vacuum distillation unit and the broad perspectives of pump-around stream stock in real time by online crude oil analyzer
Matter;
(2) macroscopic property of based on crude and pump-around stream stock, in history crude oil molecular database retrieval obtain it is closest
One or several data-base recordings made based on obtaining being fitted crude oil molecular data closest to data-base recording
It obtains crude oil molecular data and the degree of agreement of crude oil and the macroscopic property of pump-around stream stock reaches specified range;Wherein, after fitting
Crude oil molecular data be crude oil detailed molecular composition;
(3) combine step (2) obtain crude oil detailed molecular composition, using molecular level crude oil Slicing Model for Foreign in crude oil not
Molecule with boiling range is split, and obtains the detailed molecular composition and macroscopic property of the fraction of different temperatures range;
(4) broad perspectives of the crude oil and pump-around stream stock detected according to the operation data of atmospheric and vacuum distillation unit, binding analysis instrument
The parameter set of confrontation molecular level crude oil Slicing Model for Foreign is corrected;
(5) based on the crude oil detailed molecular composition and molecular level crude oil Slicing Model for Foreign structure operational research planning mould after fitting
Type;
(6) use mixed integer nonlinear programming (MINLP) optimization solver, Non-Linear Programming (NLP) optimization solver,
Preferably a kind of operational research plan model that solver obtains step (5) optimizes in linear programming (LP) optimization solver
It solves, obtains the optimal solution of plan model, optimal solution is to correspond to the optimal operational parameters collection of atmospheric and vacuum distillation unit operation;
(7) obtained optimal operational parameters collection is transferred to advanced control system, advanced control system is according to Optimum Operation
Parameter set dominating set dissipates control system and executes optimization operation scheme, realizes the operation optimization to atmospheric and vacuum distillation unit.
Preferably, the macroscopic property of the crude oil and pump-around stream stock includes density, boiling range, carbon content, sulfur content, nitrogen
Content, carbon residue, flash-point, viscosity.
Preferably, the history crude oil molecular database is the database pre-established, including oil density, evaporating
The data of journey, carbon content, sulfur content, nitrogen content, carbon residue, flash-point, viscosity macroscopic property, and the whole from initial boiling point to the end point of distillation
The representative molecular composition of boiling range range, quantity is in 10,000 molecules or more.
Preferably, described calculate macroscopic property and history crude oil molecular number in retrieval using minimum cosine function algorithm
According to the difference between the macroscopic property of sample in library.
Preferably, the operation data of the atmospheric and vacuum distillation unit includes the extraction temperature of pump-around stream stock, the pumping of pump-around stream stock
The data of metering device, valving that output and Distributed Control System acquire in real time;Preferably, operation data includes temperature
Degree, pressure, flow.
Preferably, the operational research plan model includes cutting temperature range and the stream stock macroscopic property being cut into
Association algorithm and material balance equation, heat balance equation;Wherein cutting temperature range and the stream stock macroscopic property being cut into
Association algorithm use the method using molecular level crude oil Slicing Model for Foreign as black box algorithm.
Preferably, the cutting temperature range and the association algorithm of stream stock macroscopic property being cut into also can be used by
The method that molecular level crude oil Slicing Model for Foreign result of calculation is summarized as mathematical formulae, wherein the mathematical formulae summarized be it is linear or
It is nonlinear.
Preferably, preferably mixed integer nonlinear programming (MINLP) optimization solver is used to carry out in the step (6)
It solves.
The beneficial effects of the present invention are:(1) it is real with production that the invention avoids the methods of modelling by mechanism in conventional method
The limitation that border can not fit like a glove, the actual condition of more accurate simulated production operation, improves accuracy;(2) present invention is kept away
It is slow the huge caused arithmetic speed of conventional method scale of model is exempted from, the limitation of optimization cycle length so that the period of real-time optimization
It is shorten to minute grade from hour grade, improves real-time;(3) present invention improves the probability obtained a result, and effectively reduces optimization
The possibility of failure, improves reliability.
Description of the drawings
Fig. 1 is the real-time optimization method schematic diagram of the atmospheric and vacuum distillation unit of the present invention.
Specific implementation mode
With reference to specific embodiment, the present invention is described further, but protection scope of the present invention is not limited in
This:
Embodiment:As shown in Figure 1, a kind of real-time optimization method of atmospheric and vacuum distillation unit, includes the following steps:
(1) it using a set of atmospheric and vacuum distillation unit of certain petroleum chemical enterprise as objective for implementation, is detected in real time using online crude oil analyzer
The macroscopic property of the crude oil and pump-around stream stock into atmospheric and vacuum distillation unit is obtained, including density, boiling range, carbon content, sulfur content, nitrogen contain
Amount, carbon residue, flash-point and viscosity;Wherein, the period that online crude oil analyzer completes an analysis is 15 minutes.
(2) macroscopic property acquired in online crude oil analyzer in step (1), first in the petrochemical industry pre-established
It is retrieved in enterprise's history crude oil molecular database, it is former with history using minimum cosine function method to calculate macroscopic property when retrieval
Difference in oil subdata base between the macroscopic property of sample finds immediate record in crude oil molecular database.
It is fitted on the basis of the record molecular data so that molecular data reaches table 1 with current crude oil macroscopic property degree of agreement
Listed range.Crude oil molecular amounts are within the scope of 20,000-3 ten thousand.
Property name | Average relative error | Property name | Average relative error |
Temperature cutting accuracy | 1 ℉ (mean absolute error) | Sulfur content % | 1% |
Density kg/m3 | 1% | Nitrogen content % | 1% |
Boiling range K | 5% | Carbon residue % | 1% |
Carbon content % | 3% | Flash-point K | 5% |
40 DEG C of viscosity mm2/s | 3% | 100 DEG C of viscosity mm2/s | 5% |
Table 1
(3) the crude oil molecular data for combining step (2) to be obtained, using molecular level crude oil Slicing Model for Foreign to different in crude oil
The molecule of boiling range is split, and obtains the yield and macroscopic property of the fraction of different temperatures range.Wherein, a representative cutting
Temperature scenario and fraction yield it is as shown in table 2.
Table 2
(4) according to the operation data of atmospheric and vacuum distillation unit, including the extraction temperature of pump-around stream stock, the extracted amount of pump-around stream stock,
The macroscopic property for the pump-around stream stock that in-line analyzer detects carries out real time correction to molecular level Slicing Model for Foreign, wherein online point
The macroscopic property for the pump-around stream stock that analyzer detects is as shown in table 3.
Unit | Survey side line property | Traditional mechanisms model predication value | This system model predication value | |
Carbon content | Wt% | 83.503 | 82.01 | 82.831 |
Hydrogen content | Wt% | 14.211 | 16.33 | 14.698 |
Sulfur content | Wt% | 0.539 | 0.81 | 0.603 |
Nitrogen content | Wt% | 1.444 | 0.83 | 1.767 |
Density | Kg/m3 | 860.07 | 852.1 | 859.3 |
Initial boiling point | ℃ | 217.0 | 225.8 | 215.3 |
10% boiling range | ℃ | 286.0 | 285.8 | 285.6 |
50% boiling range | ℃ | 298.4 | 290.3 | 298.4 |
90% boiling range | ℃ | 313.9 | 299.0 | 312.0 |
95% boiling range | ℃ | 335.3 | 309.3 | 329.4 |
The end point of distillation | ℃ | 340.3 | 320.6 | 342.1 |
Flash-point | ℃ | 137.0 | 145.5 | 133.4 |
Operation takes | Min | 65 | 2 |
Table 3
(5) step (2), the crude oil molecular data that (3), (4) are obtained and molecular level Slicing Model for Foreign structure operational research are based on
Plan model;In the present embodiment, crude oil molecular data and molecular level Slicing Model for Foreign being first compiled as computer software can call
Module form a Nonlinear programming Model in conjunction with atmospheric and vacuum distillation unit material balance equation, heat balance equation;The mould
Type includes 55 equations and 1 computing module;
(6) use mixed integer nonlinear programming (MINLP) optimization solver, to step (5) formed plan model into
Row Optimization Solution obtains optimal operational parameters collection.One group of optimal operational parameters collection at wherein some time point is as shown in table 4.
Table 4
(7) the optimal operational parameters collection that step (6) is obtained is transferred to advanced control system by computer server;
Advanced control system dissipates control system, the optimization operation scheme of executive device according to optimal operational parameters set dominating set.
The atmospheric and vacuum distillation unit real-time optimization method of the present embodiment is accurate the yield and macroscopic property for predicting pump-around stream stock
Property is obviously improved compared with traditional mechanisms model.The use of the mean error of the method for the present invention is 1.5%, uses traditional mechanisms model
Mean error is 16%.The arithmetic speed of the present embodiment is also obviously improved compared with mechanism model method.The present embodiment it is real-time excellent
Change method Optimization Solution mean time it is a length of 1 point 35 seconds.A length of 35 minutes of the Optimization Solution mean time of traditional mechanisms model.Meanwhile
The ratio that the real-time optimization method of the present embodiment successfully obtains optimum results is up to 99% or more, and the acquisition of mechanism model method is excellent
Change the ratio of result less than 50%.Therefore the atmospheric and vacuum distillation unit real-time optimization method of the present embodiment compared with conventional method in standard
True property, real-time are obviously improved in reliability.
In conclusion it is an advantage of the current invention that by by atmospheric and vacuum distillation unit raw material macroscopic property, molecular information, operation
The yield of technique and pump-around stream stock and the incidence relation of property are configured to operational research plan model, and the mechanism mould of unorthodox method
Type so that accuracy, real-time, the reliability of atmospheric and vacuum distillation unit real-time optimization system are promoted.
In terms of accuracy, by using crude oil detailed molecular composition and molecular level Slicing Model for Foreign, temperature, pressure are reused
The devices such as power, flow operate real time data and carry out real time correction to molecular level Slicing Model for Foreign so that atmospheric and vacuum distillation unit pump-around stream stock
Yield and macroscopic property prediction it is more more acurrate than traditional mechanism model.
In terms of real-time, by building operational research plan model to atmospheric and vacuum distillation unit, and unconventional mechanism model, greatly
Improve Optimization Solution speed greatly, from mechanism model it is generally necessary to 1 hour optimization cycle, shorten to several minutes one it is excellent
Change the period.
In terms of reliability, plan model optimizes the success rate that result is obtained when solution higher than traditional mechanisms model
Optimization Solution so that the ratio that optimization cycle obtains optimization operation scheme gets a promotion, to improve reliability.
It is specific embodiments of the present invention and the technical principle used described in above, if conception under this invention institute
The change of work when the spirit that generated function is still covered without departing from specification and attached drawing, should belong to the present invention's
Protection domain.
Claims (8)
1. a kind of real-time optimization method of atmospheric and vacuum distillation unit, which is characterized in that include the following steps:
(1) detect and obtain the crude oil of atmospheric and vacuum distillation unit and the macroscopic property of pump-around stream stock in real time by online crude oil analyzer;
(2) macroscopic property of based on crude and pump-around stream stock is retrieved in history crude oil molecular database and obtains immediate one
A or several data-base recordings, based on obtaining being fitted crude oil molecular data closest to data-base recording so that former
Oil subdata and the degree of agreement of crude oil and the macroscopic property of pump-around stream stock reach specified range;Wherein, the original after fitting
Oil subdata is crude oil detailed molecular composition;
(3) the crude oil detailed molecular composition that step (2) obtains is combined, is boiled to different in crude oil using molecular level crude oil Slicing Model for Foreign
The molecule of journey is split, and obtains the detailed molecular composition and macroscopic property of the fraction of different temperatures range;
(4) macroscopic property pair of the crude oil and pump-around stream stock detected according to the operation data of atmospheric and vacuum distillation unit, binding analysis instrument
The parameter set of molecular level crude oil Slicing Model for Foreign is corrected;
(5) based on the crude oil detailed molecular composition and molecular level crude oil Slicing Model for Foreign structure operational research plan model after fitting;
(6) mixed integer nonlinear programming (MINLP) optimization solver, Non-Linear Programming (NLP) optimization solver, linear is used
A kind of preferred operational research plan model that solver obtains step (5), which optimizes, in planning (LP) optimization solver asks
Solution, obtains the optimal solution of plan model, and optimal solution is to correspond to the optimal operational parameters collection of atmospheric and vacuum distillation unit operation;
(7) obtained optimal operational parameters collection is transferred to advanced control system, advanced control system is according to optimal operational parameters
Set dominating set dissipates control system and executes optimization operation scheme, realizes the operation optimization to atmospheric and vacuum distillation unit.
2. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:The crude oil and
The macroscopic property of pump-around stream stock includes density, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, flash-point, viscosity.
3. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:The history is former
Oil subdata base is the database pre-established, including oil density, boiling range, carbon content, sulfur content, nitrogen content, carbon residue, sudden strain of a muscle
The data of point, viscosity macroscopic property, and exist from initial boiling point to the representative molecular composition of end point of distillation whole boiling range range, quantity
10000 molecules or more.
4. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:It is described retrieval when
Difference in macroscopic property and history crude oil molecular database between the macroscopic property of sample is calculated using minimum cosine function algorithm
It is different.
5. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:The Atmospheric vacuum dress
The operation data set includes that the extraction temperature of pump-around stream stock, the extracted amount of pump-around stream stock and Distributed Control System acquire in real time
Metering device, valving data;Preferably, operation data includes temperature, pressure, flow.
6. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:The operational research
Plan model includes the association algorithm and material balance equation, heat of cutting temperature range and the stream stock macroscopic property being cut into
Measure equilibrium equation;The association algorithm of wherein cutting temperature range and the stream stock macroscopic property being cut into is used to be cut with molecular level crude oil
Cut method of the model as black box algorithm.
7. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 6, it is characterised in that:The cutting temperature
The association algorithm of degree range and the stream stock macroscopic property being cut into, which also can be used, returns molecular level crude oil Slicing Model for Foreign result of calculation
It receives as the method for mathematical formulae, wherein the mathematical formulae summarized is linear or nonlinear.
8. a kind of real-time optimization method of atmospheric and vacuum distillation unit according to claim 1, it is characterised in that:The step (6)
In preferably solved using mixed integer nonlinear programming (MINLP) optimization solver.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109777528A (en) * | 2019-03-20 | 2019-05-21 | 杭州辛孚能源科技有限公司 | A kind of molecular level diesel oil accord method |
CN109781967A (en) * | 2019-03-20 | 2019-05-21 | 杭州辛孚能源科技有限公司 | A kind of crude oil cutting calculations analysis 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 |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011149079A1 (en) * | 2010-05-27 | 2011-12-01 | 住友商事株式会社 | Hybrid thermal power generation system and method for constructing same |
CN103131458A (en) * | 2011-12-05 | 2013-06-05 | 洛阳瑞泽石化工程有限公司 | Atmospheric and vacuum device |
CN104975118A (en) * | 2015-05-25 | 2015-10-14 | 王鹏 | Method for optimizing ratio of raw materials before iron making |
CN106444672A (en) * | 2016-10-12 | 2017-02-22 | 杭州辛孚能源科技有限公司 | Molecular-level real time optimization (RTO) method for oil refining and petrochemical device |
CN106568924A (en) * | 2016-11-02 | 2017-04-19 | 杭州辛孚能源科技有限公司 | Method used for determining molecular composition of crude oil based on crude oil macroscopic properties |
-
2018
- 2018-05-17 CN CN201810471035.1A patent/CN108536108A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011149079A1 (en) * | 2010-05-27 | 2011-12-01 | 住友商事株式会社 | Hybrid thermal power generation system and method for constructing same |
CN103131458A (en) * | 2011-12-05 | 2013-06-05 | 洛阳瑞泽石化工程有限公司 | Atmospheric and vacuum device |
CN104975118A (en) * | 2015-05-25 | 2015-10-14 | 王鹏 | Method for optimizing ratio of raw materials before iron making |
CN106444672A (en) * | 2016-10-12 | 2017-02-22 | 杭州辛孚能源科技有限公司 | Molecular-level real time optimization (RTO) method for oil refining and petrochemical device |
CN106568924A (en) * | 2016-11-02 | 2017-04-19 | 杭州辛孚能源科技有限公司 | Method used for determining molecular composition of crude oil based on crude oil macroscopic properties |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN109960235B (en) * | 2018-11-29 | 2022-08-26 | 中国石油化工股份有限公司 | Refining device real-time optimization method and device based on mechanism model |
CN109777528A (en) * | 2019-03-20 | 2019-05-21 | 杭州辛孚能源科技有限公司 | A kind of molecular level diesel oil accord method |
CN109781967A (en) * | 2019-03-20 | 2019-05-21 | 杭州辛孚能源科技有限公司 | A kind of crude oil cutting calculations analysis method |
CN110009142A (en) * | 2019-03-25 | 2019-07-12 | 杭州辛孚能源科技有限公司 | A kind of petroleum chemical enterprise's plan optimization method of data-driven |
CN110009142B (en) * | 2019-03-25 | 2021-03-02 | 广东辛孚科技有限公司 | Data-driven petrochemical enterprise plan optimization method |
CN110288197A (en) * | 2019-05-28 | 2019-09-27 | 杭州辛孚能源科技有限公司 | Plan production optimization method based on molecule trend |
CN111892939A (en) * | 2020-06-12 | 2020-11-06 | 中国石油天然气股份有限公司 | Crude oil distillation cutting method, system, equipment and storage medium |
CN111892939B (en) * | 2020-06-12 | 2022-10-04 | 中国石油天然气股份有限公司 | Crude oil distillation cutting method, system, equipment and storage medium |
CN113408194A (en) * | 2021-06-10 | 2021-09-17 | 北京宜能高科科技有限公司 | General disc optimization method of atmospheric and vacuum distillation unit |
WO2023123071A1 (en) * | 2021-12-29 | 2023-07-06 | 华东理工大学 | Data-driven mixed crude oil cutting calculation analysis method and system |
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