CN112525840A - Rapid identification method for petroleum asphalt source - Google Patents
Rapid identification method for petroleum asphalt source Download PDFInfo
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- CN112525840A CN112525840A CN202011335794.9A CN202011335794A CN112525840A CN 112525840 A CN112525840 A CN 112525840A CN 202011335794 A CN202011335794 A CN 202011335794A CN 112525840 A CN112525840 A CN 112525840A
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- asphalt
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/3103—Atomic absorption analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
- G01N21/72—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited using flame burners
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- Immunology (AREA)
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- Spectroscopy & Molecular Physics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
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Abstract
The invention discloses a method for rapidly identifying petroleum asphalt sources. The method changes the method of identifying the source by the aid of the property difference of the asphalt adopted in the prior art into the method of manually adjusting the composition of the asphalt, and effectively avoids the influence caused by objective factors such as crude oil, refining process and the like by adding a trace of marker. The method selects oil-soluble metal organic matters, has good compatibility with the petroleum asphalt and is not easy to separate out; the detection speed is high, and the number of samples is small.
Description
Technical Field
The invention relates to the field of petrochemical industry, in particular to a method for quickly identifying petroleum asphalt sources.
Background
With the development of socio-economy, the demand for petroleum asphalt is increasing, and the requirement for asphalt quality is also increasing. In the prior asphalt production enterprises in China, the properties of crude oil adopted by different enterprises for producing asphalt are different, the adopted production processes are different, and the quality of the produced asphalt is uneven. Therefore, it is very important to effectively identify different brands of asphalt. At present, three methods are generally used to identify the source of bitumen.
One is a macro-index method, that is, based on the specific properties of certain brands of asphalt, the asphalt is roughly distinguished by analyzing macro-indexes such as softening point, ductility and the like of asphalt products. The second method is a component analysis method, namely, the asphalt is separated into four components of asphaltene, colloid, aromatic component and saturated component by a solvent filtration method, and the identification is carried out according to the content difference of the four components of different asphalt. And the third is fingerprint identification (such as CN108469424A, CN102507718A, CN104198429A, etc.), that is, analyzing all brands of asphalt standard samples by modern instrument analysis methods such as infrared spectroscopy, gel chromatography, etc., storing the obtained analysis results or maps into a database, and comparing the results of the samples to be detected with the results in the database during identification so as to infer the asphalt brands.
The first method belongs to an empirical method, is only effective on asphalt with special individual indexes, has no universality and is difficult to popularize and apply. The second method, which requires a large number of four-component analysis tests to be performed, involves a large amount of work and errors that are difficult to ignore, and in fact, the four-component differences between different bitumens are not obvious. The third method, although having improved accuracy and being the most commonly used identification method at present, still has the following disadvantages: firstly, the method is premised on that the production raw materials and the process of all brands of asphalt are kept stable and unchanged, which is difficult to realize under the actual condition, and once a certain asphalt production enterprise changes the production raw materials or the process, the method is not applicable any more; secondly, no matter what process is adopted, the fractions of the asphalt in petroleum are similar, and the spectrograms of different brands of asphalt are likely to be similar, which brings great difficulty to the identification process; finally, the flow channel of crude oil is more and more smooth, and the asphalt produced by two enterprises by the same crude oil and the same refining means is difficult to distinguish by the method.
In conclusion, the prior art schemes all have serious technical defects and cannot accurately and effectively identify the source of the asphalt.
Disclosure of Invention
The invention aims to provide a method for quickly identifying petroleum asphalt sources, which is simple to operate, has lasting and effective results and is not influenced by external factors.
The invention provides a method for rapidly identifying petroleum asphalt sources, which comprises the following steps:
1) adding an organic metal marker in the process of producing petroleum asphalt to obtain an asphalt sample to be detected;
the types of the organic metal markers are not less than 3;
and the addition amount of the organic metal marker is selected to be at least 2 grades;
and unique organometallic marker-additive amount combinations are assigned to different asphalt manufacturing enterprises;
2) analyzing the metal content of each organic metal marker in the asphalt sample to be detected obtained in the step 1) by adopting an atomic absorption spectrometer, and comparing the analysis result with the combination of the metal marker and the addition amount to determine the asphalt source.
In step 1) of the above method, the organometallic marker is an organic oil-soluble compound containing at least one of the following metal elements: fe. Cu, Mn, K, Na, Al;
the effective metal content is more than 20ppm to 500ppm, and the difference of the effective metal content among the grades is more than 100 ppm.
The method further comprises the following steps: adding a demetallizing agent into an electric desalting unit of an atmospheric and vacuum distillation device before adding the organic metal marker in the step 1).
The demetallization agent is selected from at least one of acid, complexing agent and surfactant;
the acid is specifically selected from at least one of phosphoric acid, formic acid and citric acid.
The demetallizing agent is a demetallizing agent KJ-FMT1 and can be purchased from Changling petrochemical technology development Co.
The dosage of the demetallization agent is 10-100 mug added in each g of crude oil; specifically 50. mu.g.
The organic metal marker is added into the asphalt obtained by refining in the step 1).
The invention has the beneficial effects that:
1. the method for identifying the source by means of the property difference of the asphalt adopted in the prior art is changed into the method for manually adjusting the composition of the asphalt, and the influence caused by objective factors such as crude oil, refining process and the like is effectively avoided by adding a trace of marker.
2. The crude oil contains trace metal elements, and the content of the metal elements in the asphalt crude oil is controlled to be below 5ppm by adding the demetallizing agent, so that the influence of background noise on a detection result is eliminated, and the detection accuracy is improved.
3. Only trace amount of marker is needed to be added, and the pavement performance of the asphalt is not reduced.
4. The oil-soluble metal organic matter is selected, has good compatibility with the petroleum asphalt and is not easy to separate out.
5. The detection speed is high, and the number of samples is small.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples, but the present invention is not limited to the following examples. The method is a conventional method unless otherwise specified. The starting materials are commercially available from the open literature unless otherwise specified.
Examples 1,
1. The following three metal markers were selected, specifically as follows.
2. Forming 8 adding schemes, and distributing the adding schemes to 8 different production enterprises, wherein the adding schemes are as follows:
a commercial demetallizing agent produced by a compounding method is added into an electric desalting unit of an atmospheric and vacuum distillation device, wherein the model is KJ-FMT1 and is produced by Changling petrochemical technology development Co., Ltd in Hunan, and the mixing amount of KJ-FMT1 in crude oil is 50 mu g/g.
When asphalt is produced by different enterprises, metal markers with specific compositions are added and stirred uniformly.
After 3 groups of samples to be tested are obtained, sampling is carried out by using American PerkinElmer for atomic emission spectroscopy analysis, the sample pretreatment method adopts an ashing method, the atomization technology adopts a flame method, pure copper naphthenate, aluminum stearate and sodium dodecyl sulfate are used as standard samples, the wavelengths are respectively adopted for 324.8nm, 309.3nm and 766.5nm to obtain the quantitative analysis results of three elements of Cu, Al and Na, and the results are as follows:
element(s) | Sample 1 | Sample 2 | Sample 3 |
Cu | 71ppm | 5ppm | 74ppm |
Al | 136ppm | 2ppm | 32ppm |
Na | 65ppm | 8ppm | 66ppm |
And finding a distribution scheme closest to each sample according to the effective content of the metal elements, determining that the sample 1 is produced by the enterprise 3, the sample 2 is produced by other enterprises except the enterprises 1-8, and the sample 3 is produced by the enterprise 1.
Claims (7)
1. A method for rapidly identifying petroleum asphalt sources comprises the following steps:
1) adding an organic metal marker in the process of producing petroleum asphalt to obtain an asphalt sample to be detected;
the types of the organic metal markers are not less than 3;
and the addition amount of the organic metal marker is selected to be at least 2 grades;
and unique organometallic marker-additive amount combinations are assigned to different asphalt manufacturing enterprises;
2) analyzing the metal content of each organic metal marker in the asphalt sample to be detected obtained in the step 1) by adopting an atomic absorption spectrometer, and comparing the analysis result with the combination of the metal marker and the addition amount to determine the asphalt source.
2. The method of claim 1, wherein: in the step 1), the organometallic marker is an organic oil-soluble compound containing at least one of the following metal elements: fe. Cu, Mn, K, Na, Al;
the effective metal content is more than 20ppm to 500ppm, and the difference of the effective metal content among the grades is more than 100 ppm.
3. The method according to claim 1 or 2, characterized in that: the method further comprises the following steps: adding a demetallizing agent into an electric desalting unit of an atmospheric and vacuum distillation device before adding the organic metal marker in the step 1).
4. The method of claim 3, wherein: the demetallization agent is selected from at least one of acid, complexing agent and surfactant;
the acid is specifically selected from at least one of phosphoric acid, formic acid and citric acid.
5. The method according to claim 3 or 4, characterized in that: the demetallization agent is a demetallization agent KJ-FMT 1.
6. The method according to any one of claims 3-5, wherein: the dosage of the demetallization agent is 10-100 mug added in each g of crude oil; specifically 50. mu.g.
7. The method according to any one of claims 1 to 6, wherein: the organic metal marker is added into the asphalt obtained by refining in the step 1).
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4977328A (en) * | 1989-03-02 | 1990-12-11 | U.S. Philips Corporation | Method of detecting a marker provided on a specimen |
WO1994012874A1 (en) * | 1992-11-27 | 1994-06-09 | Bp Oil International Limited | Method of identifying liquid petroleum products |
CN102564998A (en) * | 2012-02-16 | 2012-07-11 | 湖南省湘电试研技术有限公司 | Method for identifying performance of reclaimed insulating oil |
CN104204802A (en) * | 2012-03-22 | 2014-12-10 | 田中贵金属工业株式会社 | Immunochromatography detection method |
CN104463295A (en) * | 2005-05-10 | 2015-03-25 | 数据跟踪Dna控股公司 | High-resolution tracking of industrial process materials using trace incorporation of luminescent markers |
CN107101961A (en) * | 2017-06-22 | 2017-08-29 | 甘肃省交通规划勘察设计院股份有限公司 | A kind of method of Trace Metals Contents in aas determination pitch |
CN108398398A (en) * | 2018-02-12 | 2018-08-14 | 山西省交通科学研究院 | The method for identifying asphalt quality using decaying In situ ATR-FTIR standard spectrogram |
US20200132660A1 (en) * | 2018-10-30 | 2020-04-30 | Gansu Province Transportation Planning, Survey & Design Institute Co., Ltd. | Method for fast detecting pavement asphalt and early warning based on infrared spectrum big data |
-
2020
- 2020-11-25 CN CN202011335794.9A patent/CN112525840B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4977328A (en) * | 1989-03-02 | 1990-12-11 | U.S. Philips Corporation | Method of detecting a marker provided on a specimen |
WO1994012874A1 (en) * | 1992-11-27 | 1994-06-09 | Bp Oil International Limited | Method of identifying liquid petroleum products |
CN104463295A (en) * | 2005-05-10 | 2015-03-25 | 数据跟踪Dna控股公司 | High-resolution tracking of industrial process materials using trace incorporation of luminescent markers |
CN102564998A (en) * | 2012-02-16 | 2012-07-11 | 湖南省湘电试研技术有限公司 | Method for identifying performance of reclaimed insulating oil |
CN104204802A (en) * | 2012-03-22 | 2014-12-10 | 田中贵金属工业株式会社 | Immunochromatography detection method |
CN107101961A (en) * | 2017-06-22 | 2017-08-29 | 甘肃省交通规划勘察设计院股份有限公司 | A kind of method of Trace Metals Contents in aas determination pitch |
CN108398398A (en) * | 2018-02-12 | 2018-08-14 | 山西省交通科学研究院 | The method for identifying asphalt quality using decaying In situ ATR-FTIR standard spectrogram |
US20200132660A1 (en) * | 2018-10-30 | 2020-04-30 | Gansu Province Transportation Planning, Survey & Design Institute Co., Ltd. | Method for fast detecting pavement asphalt and early warning based on infrared spectrum big data |
Non-Patent Citations (1)
Title |
---|
王洋 等: "热再生沥青混合料混溶程度的研究概况", 《建筑材料》 * |
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