CN114021365B - Mixed crude oil cutting simulation method - Google Patents
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- CN114021365B CN114021365B CN202111335860.7A CN202111335860A CN114021365B CN 114021365 B CN114021365 B CN 114021365B CN 202111335860 A CN202111335860 A CN 202111335860A CN 114021365 B CN114021365 B CN 114021365B
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- 239000010779 crude oil Substances 0.000 title claims abstract description 140
- 238000005520 cutting process Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004088 simulation Methods 0.000 title claims abstract description 18
- 238000011156 evaluation Methods 0.000 claims abstract description 39
- 238000012937 correction Methods 0.000 claims abstract description 36
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 8
- 238000004364 calculation method Methods 0.000 claims abstract description 7
- 239000003921 oil Substances 0.000 claims description 14
- 238000005457 optimization Methods 0.000 claims description 5
- 230000005484 gravity Effects 0.000 claims description 4
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 3
- 239000002253 acid Substances 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 229910052717 sulfur Inorganic materials 0.000 claims description 3
- 239000011593 sulfur Substances 0.000 claims description 3
- 230000003190 augmentative effect Effects 0.000 claims 1
- 238000003776 cleavage reaction Methods 0.000 claims 1
- 230000007017 scission Effects 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 description 8
- 239000000203 mixture Substances 0.000 description 5
- 238000010606 normalization Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000009472 formulation Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 3
- 238000004821 distillation Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000007670 refining Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009835 boiling Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention relates to a mixed crude oil cutting simulation method, which comprises the following steps: acquiring a crude oil evaluation database, wherein the crude oil evaluation database stores existing mixed crude oil evaluation data; acquiring a temperature correction database, wherein the temperature correction database stores the formula of the processed mixed crude oil with a unique ID number and cutting temperature correction data aiming at different field devices; obtaining an ID number of the existing mixed crude oil data which is most similar to the mixed crude oil to be simulated from the temperature correction database by adopting a similarity algorithm, and extracting corresponding cutting temperature correction data; obtaining actual ideal cutting temperature based on the existing mixed crude oil evaluation data, and superposing the cutting temperature correction data to obtain simulated cutting temperature; and realizing the cutting calculation of the mixed crude oil to be simulated based on the simulated cutting temperature. Compared with the prior art, the invention has the advantages of high simulation accuracy, avoiding data difference caused by device characteristics and the like.
Description
Technical Field
The invention relates to the technical field of petrochemical production, in particular to a mixed crude oil cutting simulation method.
Background
Raw materials in the petrochemical industry come from different areas, crude oil in different production areas forms a situation that raw material components are complex, and particularly, oil refineries often purchase a large amount of opportunity oil seeds for controlling production cost due to frequent international oil price fluctuation. A variety of crude oils with various sources and different oils are often mixed and used as the feed for an atmospheric and vacuum unit. The distillation characteristics of the mixed crude oil are accurately evaluated, and the method has profound effects on the operation of atmospheric and vacuum devices and even the production of whole factories. After the oil refining enterprises obtain the evaluation data of the crude oil, how to quickly and accurately obtain the detailed properties of the crude oil fractions, and perform cutting simulation on mixed crude oil formed by multiple crude oils at different temperatures, and use the cutting results for planning and scheduling is a technical difficulty.
Under the current technology, crude oil evaluation data are processed by interpolation method to obtain the property data of each narrow fraction of crude oil. The problem with this approach is that when there are few data points, it is difficult to accurately perform a simulated cut, resulting in a result that differs significantly from what is actually the case for a blended crude oil cut. Under the prior art, the evaluation data of crude oil often come from ideal cutting conditions, belong to laboratory environment, and the actual production conditions of different refineries are uneven, often far from ideal environment, need the manual correction to crude oil data, and the process is tedious and time-consuming and needs to rely on expert experience. Under the conventional technology, for crude oil simulation cutting, the yield and the property of each fraction are required to be cut respectively, and the property requirement of a product is met while the feeding amount condition of a downstream secondary device is met. The cutting points obtained by the two cutting steps are slightly different, and the difficulty is brought to the execution of the atmospheric and vacuum device.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a mixed crude oil cutting simulation method capable of improving the prediction accuracy of the distillate yield.
The aim of the invention can be achieved by the following technical scheme:
a hybrid crude oil cutting simulation method comprising the steps of:
acquiring a crude oil evaluation database, wherein the crude oil evaluation database stores existing mixed crude oil evaluation data;
acquiring a temperature correction database, wherein the temperature correction database stores the formula of the processed mixed crude oil with a unique ID number and cutting temperature correction data aiming at different field devices;
obtaining an ID number of the existing mixed crude oil data which is most similar to the mixed crude oil to be simulated from the temperature correction database by adopting a similarity algorithm, and extracting corresponding cutting temperature correction data;
obtaining actual ideal cutting temperature based on the existing mixed crude oil evaluation data, and superposing the cutting temperature correction data to obtain simulated cutting temperature;
and realizing the cutting calculation of the mixed crude oil to be simulated based on the simulated cutting temperature.
Preferably, the crude oil evaluation database is constructed based on historical processed blended crude oil evaluation data and externally published blended crude oil evaluation data.
Preferably, the crude oil evaluation database is extended by linear interpolation.
Preferably, the existing blended crude oil evaluation data includes narrow cut data information for each crude oil over a set temperature range at a different field device.
Preferably, the similarity algorithm is implemented based on the contribution of a single crude oil in the blended crude oil, so that the ID number satisfying the following formula is used as the ID number of the existing blended crude oil data most similar to the blended crude oil to be simulated:
wherein s is i Andthe specific gravity of the ith crude oil in the mixed crude oil and the historically processed crude oil are respectively represented, and n is the number of oil types in the mixed crude oil to be simulated.
Preferably, the actual ideal cutting temperature is calculated by taking the minimum prediction error of the fraction yield and the minimum prediction error of the critical property of the fraction as optimization targets.
Preferably, the fraction yield prediction error minimum is expressed as:
wherein n is the number of oil seeds in the mixed crude oil, m is the number of fractions and y ij The yield of the j-th fraction in the i-th mixed crude oil is represented by y, which is the actual yield of the process, and T, which is the cutting temperature.
Preferably, the distillate critical property prediction error minimum is expressed as:
wherein n is the number of oil seeds in the mixed crude oil, m is the number of fractions, p ij Represents the key property of the jth fraction in the ith mixed crude oil, p is processedProgram actual data, y ij The yield of the j-th fraction in the i-th mixed crude oil is represented, T being the cutting temperature.
Preferably, the key properties of the fraction include sulfur content, acid number or density.
Preferably, the method further comprises:
and comparing the cutting calculation result of the mixed crude oil to be simulated with the actual situation, and updating the crude oil evaluation database and the temperature correction database based on the actual data information under the current formula.
Compared with the prior art, the invention has the following beneficial effects:
1. the method is provided with a crude oil evaluation database and a temperature correction database, can quickly obtain the data information of the fraction yield and the property thereof through one-time simulation cutting, and has high coincidence of the predicted detailed property of the fraction and the measured data.
2. The temperature correction database of the method can correct the cutting temperature aiming at different field devices, so that the data difference caused by the device characteristics is avoided, and the distribution situation of the properties of each fraction of the mixed crude oil is more truly reduced.
3. The method is not limited by the cutting temperature of the fraction, can be suitable for any temperature section, has high simulation accuracy, can be used in combination with various planning simulation software, effectively serves a primary processing device of a refinery, and has a practical application basis.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
The invention provides a mixed crude oil cutting simulation method, which comprises the following steps: acquiring a crude oil evaluation database, wherein the crude oil evaluation database stores existing mixed crude oil evaluation data, and the existing mixed crude oil evaluation data comprises narrow fraction data information of set temperature ranges of various crude oils under different field devices; acquiring a temperature correction database, wherein the temperature correction database stores the formula of the processed mixed crude oil with a unique ID number and cutting temperature correction data aiming at different field devices; obtaining an ID number of the existing mixed crude oil data which is most similar to the mixed crude oil to be simulated from the temperature correction database by adopting a similarity algorithm, and extracting corresponding cutting temperature correction data; obtaining actual ideal cutting temperature based on the existing mixed crude oil evaluation data, and superposing the cutting temperature correction data to obtain simulated cutting temperature; and realizing the cutting calculation of the mixed crude oil to be simulated based on the simulated cutting temperature. The cutting computation results may be combined with planning, scheduling, and optimization processes to guide the enterprise production process.
(1) Crude oil evaluation database
The crude oil evaluation database is constructed based on historical processed mixed crude oil evaluation data and external public mixed crude oil evaluation data, and can be expanded by a linear interpolation method.
In this example, an evaluation database covering crude oil processed by a refining enterprise was established. The database includes 97 sets of crude oil data accumulated by the enterprise itself, 2022 sets of published crude oil data, and 2119 sets of crude oil data in total. Each set of crude oil in the database is subdivided into narrow fractions with a distillation range span of 15 ℃ to 50 ℃. The database contains 40 properties of crude oil, see tables 1 and 2.
Table 1 properties of item 40
Table 2 specific forms of the 31 st property in table 1
Expanding the 31 st property, i.e., the data in table 2, yields data for a narrower fraction. In this embodiment, the table 2 data is extended by a linear interpolation method. Assuming a boiling point range of a to b and a yield of the corresponding fraction of Y, the linear interpolation yield Y for the temperature range of 1 ℃ in this range is calculated according to the following formula:
(2) Temperature correction database
The temperature correction database of the mixed crude oil is mainly obtained from historical data and is divided into two parts. The self-increasing serial ID is given to the mixed crude oil processed each time, on one hand, the database is used for recording the formulas of the mixed crude oil with different IDs, namely the proportion of various crude oils; on the other hand, from tables 1, 2 and actual yield data, correction values of the atmospheric and vacuum unit side line temperatures corresponding to the different ID mixed crude oils were calculated and recorded with a database. As shown in tables 3 and 4.
TABLE 3 formulation of blend crude oils with different IDs
Table 4 cutting temperature correction data for different field devices
The data in Table 4 is the difference between the device temperature set point and the actual ideal cutting temperature value. The device temperature set point can be obtained from the field and the actual ideal cutting temperature is obtained by solving the following optimization problem:
wherein n is the number of oil seeds in the mixed crude oil, m is the number of fractions and y ij Representing the yield of the jth fraction of the ith blended crude oil, y being the actual yield of the process, both as a function of cutting temperature T, p ij Representing the critical nature of the jth fraction in the ith blended crude, p is the actual data of the process, both of which are functions of yield, and therefore both of which ultimately depend on the cutting temperature T.
The optimization problem is the same in form, but different in emphasis, and the deviation of the side line yield is minimum and the deviation of the key properties of the fraction are minimum, wherein the key properties of the fraction comprise sulfur content, acid value, density and the like. In the actual solving process, the two objective functions may be combined. By the normalization method, the order of magnitude and the dimension difference between different quantities of yield, property and the like are eliminated, and the method is shown as the following formula:
wherein,and->Is the value after normalization. The normalization method adopts a common min-max linear normalization method, and is shown as the following formula:
where x is the data to be normalized,and (5) corresponding normalization results are obtained.
(3) Similarity algorithm
The similarity algorithm is implemented based on the contribution of a single crude oil in the blended crude oil, with the ID number satisfying the following formula as the ID number of the existing blended crude oil data most similar to the blended crude oil to be simulated:
wherein s is i Andrespectively representing the specific gravity of the ith crude oil in the mixed crude oil and the historically processed crude oil,/->I.e., the specific gravity of the same crude oil under the same ID formulation in table 3, n is the number of oil species in the crude oil to be simulated.The contribution degree of the ith oil to the mixed crude oil can be measured, the contribution degrees of all n crude oils are added, and the ID corresponding to the maximum value is taken, so that the mixed crude oil corresponding to the ID formula is the historical formula closest to the mixed crude oil to be analyzed currently. From the ID, the corresponding correction temperature can be looked up through table 4.
When the mixed crude oil is finally subjected to cutting simulation analysis, the input temperature needs to be corrected, and then the yield and the properties of each fraction are calculated.
In a preferred embodiment, the method further comprises updating a database, comparing the cutting calculation result of the mixed crude oil to be simulated with the actual situation, and updating the crude oil evaluation database and the temperature correction database based on the actual data information under the current formula. Specifically: in this example, if the blended crude oil formulation to be simulated is not included in table 3, the new formulation is added to table 3. In addition, the actual cutting temperature was calculated from the actual yield and each physical property analysis data obtained by the subsequent measurement, thereby obtaining correction data with respect to the ideal cutting temperature, and table 4 was added. Under the updating mechanism, the cutting data can be continuously expanded along with the production of enterprises, so that the accuracy of the mixed crude oil cutting analysis is improved.
The embodiment analyzes 16 crude oils which are processed normally by enterprises, the final cutting temperature error is +/-2 ℃, the average accuracy reaches 92%, and the production requirements of the enterprises are met.
The above functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (6)
1. A method for simulating cutting of mixed crude oil, comprising the steps of:
acquiring a crude oil evaluation database, wherein the crude oil evaluation database stores existing mixed crude oil evaluation data;
acquiring a temperature correction database, wherein the temperature correction database stores the formula of the processed mixed crude oil with a unique ID number and cutting temperature correction data aiming at different field devices;
obtaining an ID number of the existing mixed crude oil data which is most similar to the mixed crude oil to be simulated from the temperature correction database by adopting a similarity algorithm, and extracting corresponding cutting temperature correction data;
obtaining actual ideal cutting temperature based on the existing mixed crude oil evaluation data, and superposing the cutting temperature correction data to obtain simulated cutting temperature;
based on the simulated cutting temperature, cutting calculation of the mixed crude oil to be simulated is realized;
the actual ideal cutting temperature is obtained by calculating with the minimum prediction error of the fraction yield and the minimum prediction error of the critical property of the fraction as optimization targets;
the fraction yield prediction error minimum is expressed as:
wherein n is the number of oil seeds in the mixed crude oil, m is the number of fractions and y ij Representing the yield of the jth fraction in the ith mixed crude oil, y being the actual yield of the processing process, T being the cutting temperature;
the distillate critical property prediction error minimum is expressed as:
wherein n is the number of oil seeds in the mixed crude oil, m is the number of fractions, p ij Represents the key property of the jth fraction in the ith mixed crude oil, p is the actual data of the processing process, y ij Representing the i-th mixed crude oilYield of the j-th fraction, T being the cleavage temperature;
the key properties of the fraction include sulfur content, acid number or density.
2. The blended crude oil cutting simulation method of claim 1, wherein the crude oil evaluation database is constructed based on historical processed blended crude oil evaluation data and externally published blended crude oil evaluation data.
3. The hybrid crude oil cut simulation method of claim 1, wherein the crude oil evaluation database is augmented by linear interpolation.
4. The blended crude oil cutting simulation method of claim 1, wherein the existing blended crude oil evaluation data includes narrow cut data information for a set temperature range for each crude oil at different field devices.
5. The mixed crude oil cutting simulation method according to claim 1, wherein the similarity algorithm is implemented based on the contribution degree of a single crude oil in the mixed crude oil, with an ID number satisfying the following formula as an ID number of existing mixed crude oil data most similar to the mixed crude oil to be simulated:
wherein s is i Andthe specific gravity of the i-th crude oil in the mixed crude oil and the historically processed crude oil is represented as the number of oil types in the mixed crude oil to be simulated.
6. The hybrid crude oil cutting simulation method of claim 1, further comprising:
and comparing the cutting calculation result of the mixed crude oil to be simulated with the actual situation, and updating the crude oil evaluation database and the temperature correction database based on the actual data information under the current formula.
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| JP2016053106A (en) * | 2014-09-03 | 2016-04-14 | 出光興産株式会社 | Apparatus for calculating properties of crude oil fractions and method for calculating properties of crude oil fractions |
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| CN113627037A (en) * | 2021-09-16 | 2021-11-09 | 广东辛孚科技有限公司 | Crude oil cutting-based straight-run asphalt property prediction method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016053106A (en) * | 2014-09-03 | 2016-04-14 | 出光興産株式会社 | Apparatus for calculating properties of crude oil fractions and method for calculating properties of crude oil fractions |
| 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 |
| CN113627037A (en) * | 2021-09-16 | 2021-11-09 | 广东辛孚科技有限公司 | Crude oil cutting-based straight-run asphalt property prediction method |
Non-Patent Citations (1)
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| 张海娟 ; 唐全红 ; .基于CrudeManager的常减压装置模拟研究.计算机与应用化学.2013,(08),全文. * |
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