CN106703794B - Carbonate rock lithology identification method - Google Patents
Carbonate rock lithology identification method Download PDFInfo
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- CN106703794B CN106703794B CN201510771512.2A CN201510771512A CN106703794B CN 106703794 B CN106703794 B CN 106703794B CN 201510771512 A CN201510771512 A CN 201510771512A CN 106703794 B CN106703794 B CN 106703794B
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- 239000011435 rock Substances 0.000 title claims abstract description 74
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 40
- 239000010459 dolomite Substances 0.000 claims abstract description 22
- 229910000514 dolomite Inorganic materials 0.000 claims abstract description 22
- 235000019738 Limestone Nutrition 0.000 claims abstract description 17
- 239000006028 limestone Substances 0.000 claims abstract description 17
- 210000004884 grey matter Anatomy 0.000 claims abstract description 5
- 229910052791 calcium Inorganic materials 0.000 claims description 26
- 229910052749 magnesium Inorganic materials 0.000 claims description 26
- 230000003595 spectral effect Effects 0.000 claims description 18
- 238000013178 mathematical model Methods 0.000 claims description 15
- 238000010183 spectrum analysis Methods 0.000 claims description 9
- 229910021532 Calcite Inorganic materials 0.000 claims description 6
- 238000001228 spectrum Methods 0.000 claims description 5
- 238000004611 spectroscopical analysis Methods 0.000 claims 1
- 239000007789 gas Substances 0.000 abstract description 14
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 14
- 239000003345 natural gas Substances 0.000 abstract description 7
- 239000003209 petroleum derivative Substances 0.000 abstract description 6
- 239000010430 carbonatite Substances 0.000 abstract description 2
- 239000011777 magnesium Substances 0.000 description 45
- 239000011575 calcium Substances 0.000 description 40
- 238000004458 analytical method Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 4
- 238000005553 drilling Methods 0.000 description 3
- 239000013307 optical fiber Substances 0.000 description 3
- 239000003208 petroleum Substances 0.000 description 3
- 238000004876 x-ray fluorescence Methods 0.000 description 3
- VTYYLEPIZMXCLO-UHFFFAOYSA-L Calcium carbonate Chemical compound [Ca+2].[O-]C([O-])=O VTYYLEPIZMXCLO-UHFFFAOYSA-L 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910000019 calcium carbonate Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000010419 fine particle Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000002536 laser-induced breakdown spectroscopy Methods 0.000 description 1
- ZLNQQNXFFQJAID-UHFFFAOYSA-L magnesium carbonate Chemical compound [Mg+2].[O-]C([O-])=O ZLNQQNXFFQJAID-UHFFFAOYSA-L 0.000 description 1
- 239000001095 magnesium carbonate Substances 0.000 description 1
- 229910000021 magnesium carbonate Inorganic materials 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- 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
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Geology (AREA)
- Health & Medical Sciences (AREA)
- Analytical Chemistry (AREA)
- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Environmental & Geological Engineering (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)
Abstract
The invention discloses a carbonatite lithology identification method, and belongs to the technical field of petroleum and natural gas exploration and development. The identification method comprises the steps of detecting the content of Ca and the content of Mg in a rock debris sample, and calculating the ratio R of the content of Ca to the content of Mg, namely Ca/Mg; when R is more than 59.4, the carbonate rock is pure limestone; r is more than 10.8 and less than or equal to 59.4, and the carbonate rock is limestone containing dolomite; r is more than 4.7 and less than or equal to 10.8, and the carbonate rock is dolomitic limestone; r is more than 2.6 and less than or equal to 4.7, and the carbonate rock is dolostone; r is more than 1.8 and less than or equal to 2.6, and the carbonate rock is dolostone containing grey matter; r is less than or equal to 1.8, and the carbonate rock is pure dolomite. The carbonate rock lithology recognition method is simple and convenient to operate, accurate in lithology recognition result, capable of correctly guiding the deployment of the oil gas horizontal well of the carbonate rock reservoir and capable of improving the economic benefit of oil gas exploitation of the carbonate rock reservoir.
Description
Technical Field
The invention relates to the technical field of petroleum and natural gas exploration and development, in particular to the technical field of well logging in the petroleum and natural gas exploration and development process, and specifically relates to a carbonatite lithology identification method.
Background
In the process of exploration and development of petroleum and natural gas, logging detection needs to be carried out on structural properties of an oil-gas underground reservoir, and preliminary judgment is carried out on exploration values and exploration methods of oil and gas so as to improve exploration accuracy and economic benefits, so that identification and judgment on physical property structures of the reservoir have important guiding significance on exploitation of the petroleum and natural gas. The carbonate reservoir is one of main reservoirs of petroleum and natural gas, mainly comprises calcite and dolomite, and according to different contents of the calcite and the dolomite, the carbonate is divided into limestone, dolomite, dolomitic limestone, dolomitic dolomite and other different lithologies. The carbonate rock has rich oil and gas resources, and is becoming a new direction for domestic oil and gas exploration and development, and in order to accurately discover the oil and gas resources and guide the accurate and reasonable exploitation of the oil and gas resources, the physical properties of a carbonate reservoir stratum need to be accurately judged. Because a large amount of PDC drill bits are used or gas drilling is adopted in the technical field of drilling exploration and development of petroleum, natural gas and the like at present, carbonate rock debris forms fine particles or dust, and the lithology of the carbonate rock cannot be accurately judged by manual visual analysis. Therefore, in order to change the current situation that the lithology of carbonate rock cannot be accurately judged by naked eyes, other alternative methods are gradually appeared.
For example, in the traditional carbonate lithology recognition method of the current logging construction site, a certain amount of carbonate rock samples are manually selected and ground, the ground samples are placed in a closed container to chemically react with a certain amount of dilute hydrochloric acid, the contents of calcium carbonate and magnesium carbonate in the samples are judged according to the pressure of generated gas, and then the lithology of the samples is described. However, the carbonate lithology identification method is influenced by the quality of the manually selected samples, and meanwhile, the identification process is greatly influenced by human factors, the detection period is long, and the carbonate lithology identification method is not beneficial to quick and accurate identification of the carbonate lithology.
For example, chinese patent CN103510952A discloses a combined identification method for the lithology of carbonate rock debris, which specifically discloses selecting an adjacent well to obtain the rock debris of carbonate rock formation, carbonate content data of core and lithology element data of X-ray fluorescence analysis to establish a standard lithology distinguishing characteristic profile, collecting the rock debris on site to make an analysis sample, combining the carbonate content data of the analysis rock debris sample and the element data of X-ray fluorescence analysis, comparing the standard lithology distinguishing characteristic profile, and determining the lithology of the rock debris through interactive analysis. However, the parameter data required to be analyzed in the whole process of the method is too much, so that the whole judgment and analysis process is too complicated.
For example, chinese patent CN104612675A discloses a method for quickly identifying lithology of carbonate rock stratum while drilling, which discloses analyzing contents of Ca element and Mg element in rock debris of different lithology by using X-ray fluorescence element logging technology, establishing lithology interpretation plate according to the contents, and determining lithology according to the established plate and detected contents of Ca and Mg in rock debris to be detected. However, the method does not give out specific data judgment standards, and cannot realize quantitative and rapid identification of the lithology of the carbonate rock.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a carbonate lithology identification method for quantitatively and quickly identifying lithology by utilizing a Ca/Mg content ratio.
In order to achieve the purpose, the invention adopts the following technical scheme:
a carbonate rock lithology recognition method comprises the steps of detecting the content of Ca and the content of Mg in rock debris samples, and calculating the ratio R of the content of Ca to the content of Mg to be Ca/Mg; when R is more than 59.4, the carbonate rock is pure limestone; r is more than 10.8 and less than or equal to 59.4, and the carbonate rock is limestone containing dolomite; r is more than 4.7 and less than or equal to 10.8, and the carbonate rock is dolomitic limestone; r is more than 2.6 and less than or equal to 4.7, and the carbonate rock is dolostone; r is more than 1.8 and less than or equal to 2.6, and the carbonate rock is dolostone containing grey matter; r is less than or equal to 1.8, and the carbonate rock is pure dolomite.
Preferably, the content of Ca element and the content of Mg element in the rock debris sample are detected by the following methods: the method comprises the following operation steps:
1) performing element spectrum analysis on pure calcite and pure dolomite with different Ca and Mg contents, and establishing a Ca and Mg element spectrum intensity-content mathematical model;
2) performing element spectral analysis on the rock debris sample to be detected to obtain the spectral intensity of Ca and Mg elements, and calculating by using the spectral intensity-content mathematical model of Ca and Mg elements established in the step 1) to obtain the content of Ca and Mg elements.
And (3) performing element spectrum analysis by using a laser-induced breakdown spectrometer or a laser lithology automatic identifier in the steps 1) and 2). The invention adopts a laser lithology automatic identification instrument produced by a logging company of central petroleum engineering Limited company in China petrochemical industry.
In the process of carrying out element spectrum analysis by adopting the automatic laser lithology identifier, a single element has a plurality of spectral lines, and preferably, the characteristic wavelength of the Ca element is 317.933nm and the characteristic wavelength of the Mg element is 279.077nm according to the spectrum intensity and the principle of avoiding cross interference.
The established mathematical model of the spectral intensity-content of Ca and Mg elements is as follows:
CCa＝1.3318*I317.933-574.16 (1)
CMg＝1.9378*I279.077-294.25 (2)
wherein formula (1) is a mathematical model of spectral intensity-content of Ca element, CCaThe content of Ca element; i is317.933Spectral intensity data corresponding to the characteristic wavelength 317.933nm of the Ca element;
formula (2) is a mathematical model of spectral intensity-content of Mg element, CMgIs the content of Mg element; i is279.077Spectral intensity data corresponding to the characteristic wavelength 279.077nm of the Mg element.
The carbonate rock lithology identification method comprises the steps of firstly detecting the contents of Ca and Mg elements in a rock debris sample, calculating the content ratio R of the Ca and the Mg elements, realizing quantitative, rapid and automatic identification of the carbonate rock lithology only by using the contents of the Ca and the Mg elements by establishing the corresponding relation between the R and the lithology, and overcoming the defects of a plurality of artificial interference factors, long analysis period and complicated data analysis and processing process in the prior art. The carbonate rock lithology recognition method is simple and convenient to operate, accurate in lithology recognition result, capable of correctly guiding the deployment of the oil gas horizontal well of the carbonate rock reservoir and capable of improving the economic benefit of oil gas exploitation of the carbonate rock reservoir.
Furthermore, when the content of Ca and Mg elements in the rock debris sample is detected by using the laser-induced breakdown spectroscopy technology, the accuracy of the detection result is further improved by preferably selecting the characteristic wavelength of the Ca and Mg elements, and the accuracy of the lithology identification result is further improved.
Detailed Description
The technical solution of the present invention is described in detail by the following specific examples, but the present invention is not limited thereto.
In the following embodiments, a ZY-LLA type laser lithology automatic identifier produced by well logging company of Central petrochemical and Central Petroleum engineering Limited is used for element spectrum analysis, the identifier comprises a controller, an industrial personal computer, a spectrometer, a laser, a sample stage and a power supply, the laser is connected with the sample stage through an optical fiber, the sample stage is connected with the spectrometer through the optical fiber, the spectrometer is connected with the input end of the controller through a data line, the output end of the controller is connected with the industrial personal computer through a data line, and the controller, the industrial personal computer, the spectrometer and the laser are respectively connected with the power supply through power lines; the rock debris sample is placed on a sample platform, after the identification instrument is started, the controller controls the laser to emit high-energy laser to irradiate the surface of the rock debris sample to be detected placed on the sample platform, so that plasma is generated, different elements contained in the sample emit spectra when the plasma returns to a normal temperature state, the spectra are sent to the spectrometer through optical fibers for processing, data processed by the spectrometer are sent to the controller through a data line, the controller processes the data received from the spectrometer and informs a worker of the processed data through an industrial personal computer, and the worker can obtain element information of the rock debris sample.
The method for identifying the lithology of the carbonate rock in the following embodiment comprises the following specific operation steps:
1. establishing a light intensity-content mathematical model of Ca and Mg elements:
(1) the characteristic wavelengths of Ca and Mg elements are preferably:
according to the spectral intensity and the principle of avoiding cross interference, the characteristic wavelength of Ca element is preferably 317.933nm, and the characteristic wavelength of Mg element is preferably 279.077 nm;
(2) and establishing a light intensity-content mathematical model of Ca and Mg elements.
Detecting samples in pure calcite and pure dolomite by using a laser lithology automatic identifier, and recording spectral intensity values I corresponding to 279.077nm and 317.933nm279.077、I317.933According to the contents of Ca and Mg in the samples of pure calcite and pure dolomite and I279.077、I317.933Establishing a light intensity-content mathematical model of Ca and Mg elements:
CCa＝1.3318*I317.933-574.16 (1)
CMg＝1.9378*I279.077-294.25 (2)
wherein formula (1) is a mathematical model of spectral intensity-content of Ca element, CCaThe content of Ca element; i is317.933Spectral intensity data corresponding to the characteristic wavelength 317.933nm of the Ca element;
formula (2) is a mathematical model of spectral intensity-content of Mg element, CMgIs the content of Mg element; i is279.077Spectral intensity data corresponding to the characteristic wavelength 279.077nm of the Mg element;
2. and detecting the contents of Ca and Mg elements in the carbonate rock sample.
(1) Utilizing a laser lithology automatic identification instrument to perform element spectrum analysis on a carbonate rock sample of which the lithology is to be identified, and recording I317.933And I279.077And (4) data.
(2) Calculating the content of Ca and Mg elements in the sample
According to I317.933And I279.077And respectively calculating the contents of Ca and Mg elements in the sample according to the formulas (1) and (2).
3. Automatic carbonate lithology identification
(1) Calculating the ratio R of Ca and Mg according to the content of Ca and Mg in the sample, and defining R ═ CCa：CMg。
(2) Automatically identifying the lithology of the carbonate rock:
when R is more than 59.4, the lithology of the carbonate sample is pure limestone;
when R is more than 10.8 and less than or equal to 59.4, the lithology of the carbonate sample is limestone containing dolomite;
③ when R is more than 4.7 and less than or equal to 10.8, the lithology of the carbonate sample is dolomitic limestone;
when R is more than 2.6 and less than or equal to 4.7, the lithology of the carbonate sample is grey dolomite;
when R is more than 1.8 and less than or equal to 2.6, the lithology of the carbonate sample is dolostone containing grey matter;
when R is less than or equal to 1.8, the lithology of the carbonate sample is pure dolomite.
Examples
In this embodiment, the method for identifying and judging the lithology of carbonate rock in the construction site specifically includes: performing element spectrum analysis on rock core samples of 1#, 2#, 3#, 4#, 5#, 6#, 7# and 8# confirmed to be carbonate rock on site by using ZY-LLA type laser lithology automatic identifier to obtain spectral intensity I with Ca element characteristic wavelength of 317.933nm317.933And a spectral intensity I of a characteristic wavelength of 279.077nm of Mg element279.077(ii) a Detecting the detected I317.933Carrying out the formula (1), and calculating to obtain the content C of Ca elementCaIs shown by279.077Carrying out formula (2), and calculating to obtain the content C of the Mg elementMg(ii) a Calculating the content ratio R ═ C of Ca and MgCa/CMgAnd judging the lithology of the rock core according to the R value.
The detection and calculation data and the rock core lithology judgment result of the embodiment are shown in the following table 1:
TABLE 1
The lithology of the 1# to 8# core samples is respectively identified by a thin slice identification method, and the result is as follows: the 1# rock core is pure dolomite; the # 2 rock core is dolomitic limestone; the No. 3 rock core is pure limestone; the No. 4 rock core is dolostone containing grey matter; the No. 5 core is grey dolomite; the No. 6 rock core is grey dolomite; the No. 7 core is limestone containing dolomite; the 8# core was pure dolomite.
As can be seen from table 1, the rock core lithology determined by the carbonate rock lithology identification method of the present invention is consistent with the identification result of the conventional slice identification method, which indicates that the identification method of the present invention realizes the fine description of the carbonate rock lithology, can automatically, rapidly and accurately determine the formation lithology, and provides effective guidance for the discovery and exploration of the reservoir of the oil and gas, thereby improving the development benefit of the oil and gas.
Claims (3)
1. The carbonate rock lithology identification method is characterized by comprising the steps of detecting the content of Ca and the content of Mg in rock debris samples, and calculating the ratio R of the content of Ca to the content of Mg, wherein the ratio R is Ca/Mg; when R is more than 59.4, the carbonate rock is pure limestone; r is more than 10.8 and less than or equal to 59.4, and the carbonate rock is limestone containing dolomite; r is more than 4.7 and less than or equal to 10.8, and the carbonate rock is dolomitic limestone; r is more than 2.6 and less than or equal to 4.7, and the carbonate rock is dolostone; r is more than 1.8 and less than or equal to 2.6, and the carbonate rock is dolostone containing grey matter; r is less than or equal to 1.8, and the carbonate rock is pure dolomite; the method comprises the following steps of detecting the content of Ca and the content of Mg in a rock debris sample: the method comprises the following operation steps:
1) performing element spectrum analysis on pure calcite and pure dolomite with different Ca and Mg contents, and establishing a Ca and Mg element spectrum intensity-content mathematical model;
2) performing element spectral analysis on the rock debris sample to be detected to obtain the spectral intensity of Ca and Mg elements, and calculating by using the spectral intensity-content mathematical model of Ca and Mg elements established in the step 1) to obtain the content of Ca and Mg elements.
2. The carbonate lithology recognition method of claim 1, wherein the characteristic wavelength of the Ca element is 317.933nm and the characteristic wavelength of the Mg element is 279.077nm during the elemental spectroscopy.
3. The carbonate lithology identification method of claim 1, wherein the established spectral intensity-content mathematical model of Ca and Mg elements is:
CCa＝1.3318*I317.933-574.16 (1)
CMg＝1.9378*I279.077-294.25 (2)
wherein formula (1) is a mathematical model of spectral intensity-content of Ca element, CCaThe content of Ca element; i is317.933Spectral intensity data corresponding to the characteristic wavelength 317.933nm of the Ca element;
formula (2) is a mathematical model of spectral intensity-content of Mg element, CMgIs the content of Mg element;
I279.077is specially Mg elementAnd characterizing the spectral intensity data corresponding to the wavelength of 279.077 nm.
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| CN109932355B (en) * | 2017-12-15 | 2024-01-26 | 中国石油化工集团有限公司 | Method for separating lithology-fluid laser information of drilling fluid stratum |
| CN109931053A (en) * | 2017-12-15 | 2019-06-25 | 中石化石油工程技术服务有限公司 | The recognition methods of sand shale-carbonate rock |
| CN112240875B (en) * | 2019-07-18 | 2023-11-28 | 中国石油天然气股份有限公司 | Carbonate lithology recognition method and device based on ASD spectrum |
| CN111537663B (en) * | 2020-04-20 | 2022-10-04 | 中国石油天然气集团有限公司 | Lithology identifier carrying device and lithology identification system and method based on lithology identifier carrying device |
| CN112577875A (en) * | 2020-12-02 | 2021-03-30 | 成都理工大学 | Efficient detection technology for multiple native pores of carbonate rock |
| CN113049521B (en) * | 2021-03-29 | 2023-09-26 | 自然资源实物地质资料中心 | Method, device and equipment for identifying carbonate rock and storage medium |
| CN113190784B (en) * | 2021-06-01 | 2023-10-24 | 中国石油大学(北京) | Method for identifying original dolomite |
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