Coal rock extract spectral analysis method and device, storage medium and equipment

Abstract

The invention discloses a coal rock extract spectral analysis method, a coal rock extract spectral analysis device, a storage medium and equipment. The method comprises the following steps: refrigerating an extract of a coal rock sample and sealing and storing the extract in a glass slide; performing full-spectrum laser scanning on a specified area of the glass slide to obtain a spectrum scanning plate; on the basis of the spectrum scanning plate, obtaining an excitation wavelength and a receiving wavelength which enable the extract of the coal rock sample to be subjected to fluorescence reaction, and determining an excitation wavelength and a receiving wave band of each hydrocarbon component; the method comprises the following steps: performing multi-spectrum laser scanning imaging on all areas of a glass slide of a coal rock sample extract to obtain a laser scanning imaging image of each hydrocarbon component; and obtaining a spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon component, and obtaining the content of each hydrocarbon component in the coal rock extract based on the spectral signal. The method can accurately, rapidly and quantitatively analyze the hydrocarbon component content in the coal rock sample extract and estimate the resource quantity in the coal rock.

Description

Technical Field

[0001] This invention relates to the field of oil and gas reservoir development technology, and in particular to a method, apparatus, storage medium, and equipment for spectral analysis of coal and rock extracts. Background Technology

[0002] Coal and rock contain abundant shallow adsorbed gas and deep free gas, which are clean energy sources. Large-scale mining of clean energy from coal and rock can not only effectively alleviate the natural gas shortage but also reduce carbon emissions, supporting the achievement of the "dual carbon" target (carbon reduction and emission reduction). Quantitative analysis of hydrocarbon components in coal and rock can estimate the resource quantity and exploitable amount of hydrocarbons, which is of great significance for the efficient mining of clean energy from coal and rock.

[0003] Currently, the main methods for quantitative analysis of hydrocarbon components in coal and rock are short-wave ultraviolet fluorescence imaging analysis and organic geochemical chromatography analysis. Short-wave ultraviolet fluorescence imaging analysis uses a polarizing microscope with a mercury lamp (ultraviolet light source) to perform optical analysis of hydrocarbon components in coal and rock. Organic geochemical chromatography analysis mainly distinguishes the content of light and heavy components in coal and rock by measuring the proportion of different carbon groups in hydrocarbon substances. Summary of the Invention

[0004] In existing coal and rock hydrocarbon component analysis techniques, when using ultraviolet fluorescence imaging analysis for quantitative analysis of hydrocarbon components, the fluorescence intensity is weak and the fluorescence image of the sample cannot be acquired in real time. The analysis work mainly involves manually dividing the fluorescence image into multiple fields of view and observing them, and then performing statistical analysis on the observation results. This method is inefficient, and the inaccurate division results lead to low accuracy of the analysis results. When using organic geochemical chromatography to analyze the hydrocarbon content in coal and rock, the analytical instrument is used to analyze the different carbon groups of hydrocarbons. This method requires a long time for coal and rock sample pretreatment and instrument analysis, which can easily lead to a large loss of light components, thus affecting the accuracy of the test results.

[0005] In view of the above problems, the present invention is proposed to provide a method and apparatus for quantitative analysis of coal and rock extracts by fluorescence spectroscopy that overcomes or at least partially solves the above problems.

[0006] In a first aspect, embodiments of the present invention provide a spectral analysis method for coal rock extracts, comprising:

[0007] The extracts from the coal and rock samples were refrigerated and sealed in glass slides;

[0008] A full-spectrum laser scan is performed on a designated area of ​​the glass slide to obtain a spectral scan pattern;

[0009] Based on the spectral scanning chart, the excitation wavelength range and the receiving wavelength range that cause the extracts of coal and rock samples to exhibit fluorescence reactions were obtained.

[0010] Within the excitation and reception wavelength ranges, the excitation wavelength and reception band of each hydrocarbon component are determined. Based on the excitation wavelength and reception band of each hydrocarbon component, multi-band laser scanning imaging is performed on the entire area of ​​the glass slide containing the coal and rock sample extract to obtain the laser scanning imaging image of each hydrocarbon component.

[0011] The spectral signal of each hydrocarbon component is obtained from the laser scanning imaging image of each hydrocarbon component, and the content of each hydrocarbon component in the coal rock extract is obtained based on the spectral signal.

[0012] In some optional embodiments, before refrigerating and sealing the extract from the coal and rock sample, the method further includes: slicing the coal and rock sample under a first low temperature condition and wrapping it with plastic wrap, and then refrigerating the slices.

[0013] In some alternative embodiments, the extract from the coal and rock sample includes:

[0014] The refrigerated coal and rock sample slices were wrapped in filter paper and placed in an extractor, which was then heated.

[0015] Within a preset extraction time, extraction solvent is circulated into the extractor to extract the coal and rock samples, thereby obtaining the extract of the coal and rock samples.

[0016] In some optional embodiments, the extraction solvent includes either dichloromethane or trichloromethane;

[0017] After obtaining the extract from the coal and rock sample, the following are also included:

[0018] The extract was sealed in a test tube and stored under a second low-temperature condition, which refers to a temperature of -5℃ to 0℃.

[0019] In some optional embodiments, a full-spectrum laser scan is performed on a designated area of ​​the slide to obtain a spectral scan pattern, including:

[0020] Debug the laser scanning instrument and set the laser scanning parameters; the scanning parameters include at least one of the following: scanning wavelength range, energy intensity, number of pinholes, and gain;

[0021] Under the scanning parameters, a full-spectrum scan is performed on a specified area of ​​the glass slide to obtain a spectral scan pattern. The spectral scan refers to scanning according to the scanning wavelength range in the scanning parameters.

[0022] In some optional embodiments, based on spectral scanning plates, the excitation wavelength range and the receiving wavelength range that cause the extracts from the coal and rock samples to fluoresce are obtained, including:

[0023] From the spectral scanning plates, obtain the excitation wavelength plates and the receiving wavelength plates that cause the extracts from coal and rock samples to exhibit a fluorescent reaction;

[0024] The excitation wavelength range is obtained from the excitation wavelength chart, and the receiving wavelength range is obtained from the receiving wavelength chart.

[0025] In some optional embodiments, multi-band laser scanning imaging is performed on the entire area of ​​the slide containing the coal and rock sample extract, based on the excitation wavelength and receiving band of each hydrocarbon component, to obtain laser scanning imaging images of each hydrocarbon component, including:

[0026] For each hydrocarbon component;

[0027] Based on the excitation wavelength of hydrocarbon components, the entire area of ​​the glass slide of the coal and rock sample extract is scanned by laser.

[0028] The wavelength reception range of the receiving channel is set according to the receiving band of the hydrocarbon components;

[0029] Laser scanning images of hydrocarbon components are obtained by acquiring laser scanning images within the wavelength receiving range.

[0030] In some optional embodiments, the spectral signal of each hydrocarbon component is acquired from the laser scanning imaging image of each hydrocarbon, and the content of each hydrocarbon component in the coal extract is obtained based on the spectral signal, including:

[0031] The spectral signal of each hydrocarbon component is acquired from the laser scanning imaging image of the hydrocarbon components, and different colors are assigned to the spectral signal of each hydrocarbon component;

[0032] The content of each hydrocarbon component in the quantitative extract is determined based on the volume of the laser scanning area and the volume of different colors within the laser scanning area.

[0033] In some optional embodiments, the content of each hydrocarbon component in the extract is quantitatively determined based on the volume of the laser-scanned area and the volume of different colors, including:

[0034] The content of each hydrocarbon component in the quantitative extract can be calculated using the following formula:

[0035]

[0036] Where, n i Let represent the content of the i-th hydrocarbon component in the coal extract, Vi represent the volume of the color corresponding to the i-th hydrocarbon component in the coal extract, and Vtotal represent the total volume of the laser-scanned area of ​​the coal extract.

[0037] In a second aspect, embodiments of the present invention provide a spectroscopic analysis device for coal rock extracts, comprising:

[0038] The laser scanning module is used to perform full-spectrum laser scanning on a designated area of ​​the slide to obtain a spectral scanning pattern; based on the excitation wavelength and receiving band of each hydrocarbon component obtained by the wavelength extraction module, multi-spectral laser scanning imaging is performed on the entire area of ​​the slide containing the coal and rock sample extract to obtain a laser scanning imaging image of each hydrocarbon component.

[0039] The wavelength extraction module is used to obtain the excitation wavelength range and the receiving wavelength range that cause the extracts of coal and rock samples to fluoresce based on the spectral scanning plate obtained by the laser scanning module; within the excitation wavelength range and the receiving wavelength range, the excitation wavelength and receiving band of each hydrocarbon component are determined.

[0040] The hydrocarbon content determination module is used to obtain the spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon component obtained from the laser scanning module, and to obtain the content of each hydrocarbon component in the coal rock extract based on the spectral signal.

[0041] This invention also provides a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the aforementioned method for spectral analysis of coal and rock extracts.

[0042] This invention also provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for spectral analysis of coal and rock extracts.

[0043] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0044] This invention provides a method for the spectral analysis of coal rock extracts. The method involves refrigerating and sealing the coal rock extract in a glass slide; performing full-spectrum laser scanning on a designated area of ​​the slide to obtain a spectral scan plate; and measuring the coal rock extract in a low-temperature refrigerated environment. Compared with existing organic geochemical chromatography methods, this method is simpler, preserves the original state of the sample, and ensures the accuracy of the measurement results. Based on the spectral scan plate, the excitation wavelength range and reception wavelength range that cause fluorescence in the coal rock sample are obtained. Within these ranges, the excitation wavelength and reception band of each hydrocarbon component are determined. Based on these ranges, multi-band laser scanning imaging is performed on the entire area of ​​the slide containing the coal rock extract to obtain a laser scanning image of each hydrocarbon component. The spectral signals of different hydrocarbon components are obtained from the laser scanning images of each component, and the content of different hydrocarbon components in the coal rock extract is determined based on these spectral signals. Excitation wavelength is the prerequisite and foundation for receiving wavelength. Using the excitation wavelength to perform laser scanning on the glass slide of the extract can quickly obtain laser scanning images that respond to the excitation wavelength, and then analyze the content of different hydrocarbon components in coal extracts. Compared with existing ultraviolet fluorescence analysis, pulsed laser scanning can continuously excite the sample and obtain scanning results in real time without the need for manual division of the scanning field of view and observation. The measurement results are highly accurate and the analysis cost is reduced. It can efficiently estimate the resource quantity and exploitable quantity of hydrocarbons in coal, providing technical support for the calculation of resource quantity and subsequent efficient development of this type of energy.

[0045] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0046] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0047] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0048] Figure 1 This is a flowchart of the spectral analysis method for coal rock extracts in an embodiment of the present invention;

[0049] Figure 2 This is an example diagram of the glass slide device in an embodiment of the present invention;

[0050] Figure 3This is a spectral scan of the excitation wavelength in an embodiment of the present invention;

[0051] Figure 4 This is a spectral scan diagram of the received wavelength in an embodiment of the present invention;

[0052] Figure 5 This is a graph showing the excitation wavelength in an embodiment of the present invention;

[0053] Figure 6 This is a graph showing the received wavelength in an embodiment of the present invention;

[0054] Figure 7 This is a laser scanning image of the fluorescently labeled light hydrocarbon component in an embodiment of the present invention;

[0055] Figure 8 This is a laser scanning image of the fluorescently labeled heavy hydrocarbon component in an embodiment of the present invention;

[0056] Figure 9 This is a schematic diagram of the structure of the coal and rock extract spectral analysis device in an embodiment of the present invention. Detailed Implementation

[0057] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0058] To address the problems of low analytical efficiency and inaccurate analytical results in existing technologies, this invention provides a spectral analysis method for coal and rock extracts. This method can preserve the hydrocarbon components of coal and rock samples during sample processing, acquire fluorescence images of hydrocarbon components in real time during laser scanning analysis, and accurately quantify the content of each hydrocarbon component.

[0059] This invention provides a method for spectroscopic analysis of coal rock extracts. The flowchart of this method is shown below. Figure 1 As shown, it includes:

[0060] S101: Refrigerate and seal the extract of the coal and rock sample in a glass slide;

[0061] S102: Perform full-spectrum laser scanning on a specified area of ​​the glass slide to obtain a spectral scan pattern;

[0062] S103: Based on the spectral scanning plate, the excitation wavelength range and the receiving wavelength range that cause the extracts of coal and rock samples to undergo fluorescence reaction are obtained;

[0063] S104: Within the excitation wavelength range and the receiving wavelength range, determine the excitation wavelength and receiving band of each hydrocarbon component. Based on the excitation wavelength and receiving band of each hydrocarbon component, perform multi-band laser scanning imaging on the entire area of ​​the glass slide containing the coal and rock sample extract to obtain the laser scanning imaging image of each hydrocarbon component.

[0064] S105: Obtain the spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon component, and obtain the content of each hydrocarbon component in the coal rock extract based on the spectral signal.

[0065] The spectral analysis method for coal and rock extracts provided in this invention uses laser scanning to quantitatively analyze the extracts from coal and rock samples. On the one hand, compared with traditional ultraviolet fluorescence, this method uses pulsed lasers with higher signal scanning intensity and faster scanning speed, thus obtaining more complete sample information and making the measurement results more accurate. On the other hand, it has high requirements for processing time and environment, which can preserve the components of the sample within an effective time, making the components in the sample less volatile and improving the accuracy of the measurement.

[0066] Optionally, in step S101 above, before refrigerating and sealing the extract of the coal and rock sample, the method further includes: slicing the coal and rock sample under a first low temperature condition and wrapping it with plastic wrap, and then refrigerating the slices.

[0067] The sample is processed under the first low-temperature condition, which can be a liquid nitrogen environment. Depending on the research needs, the sample can be sliced, for example, a rectangular block of 1.5cm × 1.5cm with a thickness of 5mm can be cut. The sliced ​​sample is then wrapped in plastic wrap and refrigerated. This treatment can preserve the light hydrocarbons in the sample, thereby obtaining a more complete and accurate spectral signal in the subsequent measurement process.

[0068] Optionally, extracts from coal and rock samples may include:

[0069] The refrigerated coal and rock sample slices were wrapped in filter paper and placed in an extractor, which was then heated.

[0070] Within a preset extraction time, extraction solvent is circulated into the extractor to extract the coal and rock sample, thereby obtaining the extract of the coal and rock sample.

[0071] Optional extraction solvents include: any one of dichloromethane and trichloromethane;

[0072] The above method, after obtaining the extract from the coal and rock sample, further includes: sealing the extract in a test tube and storing it under a second low-temperature condition, where the second low-temperature condition refers to a temperature of -5℃ to 0℃. For example, temperatures such as 0, -1, -2, -3, -4, -5, or other temperature values ​​can be selected as the temperature of the second low-temperature condition.

[0073] Before extraction, the sample is refrigerated to prevent the volatilization of hydrocarbon components. During extraction, the sample is heated to ensure that as much extractable material as possible is extracted for subsequent quantitative analysis. A Soxhlet extractor can be used for coal and rock samples. Heating is applied during extraction to provide the necessary heating conditions for the entire extraction environment. The heating temperature needs to be set according to the type of sample, for example, but not limited to, 60°C, to ensure sufficient volatilization of the extractable materials in the coal and rock sample. The coal and rock sample is wrapped in hyperpermeable filter paper and placed in the Soxhlet extractor. After heating and sealing, the extraction solvent, such as dichloromethane or trichloromethane, is circulated for extraction. The preset extraction time should be set according to the type of sample; for example, a preset extraction time of 72 hours can be set to ensure that the hydrocarbons in the sample are fully volatilized.

[0074] After obtaining the coal and rock sample extract, it needs to be sealed in a test tube under a second low-temperature condition for later testing to prevent the volatilization of hydrocarbon components. The extract is then quickly injected into a glass slide device using a pipette and sealed to prepare the test slide. The second low-temperature condition can be -5℃ to 0℃. A second low-temperature condition exceeding 0℃ will cause some hydrocarbon components to volatilize, resulting in inaccurate measurement results. However, conditions below -5℃ are difficult to achieve; therefore, -5℃ to 0℃ is selected as the second low-temperature condition. See the example diagram of the glass slide device. Figure 2 As shown, Figure 2 The image at the top center is a top view of the slide assembly, showing that the entire slide is 50,000 mm long and 20,000 mm wide. The length between the injection and outlet sections of the slide is 38,000 mm. The depth and width of the fluid injection channel (flow channel) are both 400 mm (0.4 mm). The central circular hole is the central injection position, and the diameter of this hole is 5,000 mm (5 mm). Figure 2 The image below is a front view of the slide device. The IN port is the injection port, and the OUT port is the outlet. The device includes a PDMS layer and a glass layer. The thickness of the PDMS layer is 3-5 mm, and the thickness of the glass layer is 0.17 mm. By using the slide device, the slides to be tested for coal and rock sample extracts can be quickly prepared and the coal and rock sample extracts can be sealed in the slides, making it difficult for hydrocarbons in the extracts to volatilize, thus laying the foundation for subsequent quantitative analysis of hydrocarbons in the extracts.

[0075] Optionally, in step S102 above, performing a full-spectrum laser scan on a designated area of ​​the slide to obtain a spectral scan pattern includes: adjusting the laser scanning instrument and setting laser scanning parameters; the scanning parameters include at least one of the following: scanning wavelength range, energy intensity, number of pinholes, and gain; under the scanning parameters, performing a full-spectrum scan on the designated area of ​​the slide to obtain a spectral scan pattern, where full-spectrum scanning refers to scanning according to the scanning wavelength range in the scanning parameters.

[0076] When scanning a glass slide with a pulsed laser, light energy is released in pulses, enabling more precise energy control. The pulse width, frequency, and energy can be adjusted as needed to achieve optimal results. Traditional ultraviolet fluorescence analysis methods do not have sufficient energy control precision, and pulsed lasers, being mercury-free emission technology, are more environmentally friendly. Laser scanning can be performed using a laser confocal microscope. The slide is placed on the stage of the laser confocal microscope, the eyepiece and objective lens are adjusted, and the laser scanning parameters are set. These parameters include the scanning wavelength range, energy intensity, number of pinholes, and gain. For different samples, the scanning parameters must be set according to the actual situation to obtain a clearer and more accurate spectral scan. The laser confocal microscope can perform multiple scans rapidly within the set scanning time, with high scanning energy intensity, making it easier to observe the fluorescence phenomena of various hydrocarbon components. A designated area on a glass slide can be scanned to obtain a spectral scan pattern of the coal and rock sample extract. This designated area can be determined based on the observation range under the eyepiece. The purpose of obtaining the spectral scan pattern is to determine the wavelength range of excitation and reception wavelengths that will cause fluorescence in the coal and rock sample extract; therefore, the specific location of the designated area is not limited. Full-spectrum scanning refers to scanning according to the wavelength range set in the scanning parameters. During scanning, both excitation wavelength scanning mode (XYλ) and reception wavelength scanning mode (XY∧) can be used, thus obtaining spectral scan patterns for both excitation and reception wavelengths.

[0077] Optionally, in step S103 above, based on the spectral scanning plate, the excitation wavelength range and the receiving wavelength range that cause the extract of the coal and rock sample to undergo a fluorescence reaction are obtained, including:

[0078] From the spectral scanning plates, obtain the excitation wavelength plates and the receiving wavelength plates that cause the extracts from coal and rock samples to exhibit a fluorescent reaction;

[0079] The excitation wavelength range is obtained from the excitation wavelength chart, and the receiving wavelength range is obtained from the receiving wavelength chart.

[0080] After laser scanning of the coal and rock samples, spectral scan patterns are obtained. From these patterns, spectral scan patterns for the excitation wavelength and the receiving wavelength can be obtained separately. (For the excitation wavelength spectral scan pattern, see [reference needed]). Figure 3 As shown, see the received wavelength spectral scan chart. Figure 4 As shown, Figure 3 The spectral scanning step is 10 nm. Figure 3 and Figure 4 The intensity of the green fluorescence represents the strength of the fluorescence. Figure 3 The wavelength corresponding to the fluorescence in the sample is the excitation wavelength of the test sample. Figure 4 The wavelength corresponding to the fluorescence in the middle is the receiving wavelength of the test sample. According to the excitation spectral scan, the excitation wavelength range of the test sample is between 750 nm and 1090 nm. This wavelength range can be used as the excitation wavelength for coal and rock sample extracts. The receiving wavelength range is between 417 nm and 64 nm. This wavelength range can be used as the receiving wavelength for coal and rock sample extracts. Generally, when an excitation wavelength is selected for excitation, the receiving wavelength can be a range of wavelengths. Excitation wavelength curves and receiving wavelength curves can be plotted based on the excitation and receiving wavelength spectral scans. See the excitation wavelength curve for [reference needed]. Figure 5 As shown, see the curve for the received wavelength. Figure 6 As shown in the figure, the curve represents the relationship between the excitation wavelength and the relative fluorescence intensity.

[0081] In step S104 above, based on the excitation wavelength range and the reception wavelength range, the excitation wavelength and reception band of each hydrocarbon component can be determined. Light hydrocarbon components in coal and rock sample extracts are generally excited using short wavelengths, while heavy hydrocarbon components are generally excited using long wavelengths. Here, "short wavelength" and "long wavelength" refer to wavelengths within the excitation wavelength range suitable for the coal and rock sample; generally, short wavelengths are shorter than long wavelengths. For example, from... Figure 5 In the excitation wavelength curve, wavelengths of 780 nm and 930 nm were selected for excitation. 780 nm is considered a short wavelength, and 930 nm a long wavelength. The specific wavelength to choose requires further analysis of the fluorescence response on the spectral scan. Figure 3 and Figure 5 Let's take a look. Figure 3The fluorescence intensity is highest at 780 nm, then gradually decreases until it increases again at 930 nm. After plotting the excitation wavelength curve using the excitation spectrum scanning plate, 780 nm (a short wavelength) can be selected as the excitation wavelength for light hydrocarbon components, and 930 nm (a long wavelength) for heavy hydrocarbon components. Corresponding to the excitation wavelength, the receiving band for light hydrocarbon components can be a short band within the receiving wavelength range, such as 435 nm-500 nm, while the receiving band for heavy hydrocarbon components can be a long band within the receiving wavelength range, such as 509 nm-605 nm. Multiple receiving bands can also be selected, acquiring images from different bands multiple times to select the higher resolution and more accurate image, thus improving the accuracy of the quantitative analysis results for hydrocarbon components. Determining the excitation wavelength and receiving band for each hydrocarbon component provides a data foundation for subsequent laser scanning imaging, enabling the efficient acquisition of more refined laser scanning images.

[0082] Optionally, in step S104 above, multi-spectral laser scanning imaging is performed on the entire area of ​​the slide containing the coal and rock sample extract according to the excitation wavelength and receiving band of each hydrocarbon component to obtain a laser scanning image of each hydrocarbon component. This includes: for each hydrocarbon component; performing laser scanning on the entire area of ​​the slide containing the coal and rock sample extract according to the excitation wavelength of the hydrocarbon component; setting the wavelength receiving range of the receiving channel according to the receiving band of the hydrocarbon component; and acquiring laser scanning images within the wavelength receiving range to obtain a laser scanning image of the hydrocarbon component.

[0083] After determining the excitation wavelength and receiving band for each hydrocarbon component, the entire area of ​​the glass slide of the coal and rock sample extract is scanned according to the excitation wavelength of the light hydrocarbon components. The wavelength receiving range of the receiving channel is set according to the receiving band of the light hydrocarbon components. Similarly, the entire area of ​​the glass slide of the coal and rock sample extract is scanned according to the excitation wavelength of the heavy hydrocarbon components. The wavelength receiving range of the laser scan images acquired can then be used to obtain laser scan imaging images of both the light and heavy hydrocarbon components. The following describes how to perform multi-band laser scanning imaging, taking 405nm and 488nm as the excitation wavelengths for light and heavy hydrocarbon components, respectively. For the 405nm excitation wavelength, the wavelength receiving range of the PMT channel is set to 415-478nm, serving as the image receiving channel for the 405nm excitation wavelength; for the 488nm excitation wavelength, the wavelength receiving range of the PMT channel is set to 500-630nm, serving as the image receiving channel for the 488nm excitation wavelength.

[0084] Optionally, in step S105 above, acquiring the spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon, and obtaining the content of each hydrocarbon component in the coal extract based on the spectral signal, includes: acquiring the spectral signal of each hydrocarbon component from the laser scanning imaging image of the hydrocarbon component and assigning different colors to the spectral signal of each hydrocarbon component; and quantifying the content of each hydrocarbon component in the extract according to the volume of the laser scanning area and the volume of different colors in the laser scanning area.

[0085] Optionally, based on the volume of the laser scanning area and the volume of different colors, the content of each hydrocarbon component in the quantitative extract is determined, including: the content of each hydrocarbon component in the quantitative extract is determined according to the following formula:

[0086]

[0087] Where, n i Let represent the content of the i-th hydrocarbon component in the coal extract, Vi represent the volume of the color corresponding to the i-th hydrocarbon component in the coal extract, and Vtotal represent the total volume of the laser-scanned area of ​​the coal extract.

[0088] After obtaining the laser scanning image of each hydrocarbon component, the fluorescence signal of each hydrocarbon component in the image is acquired and marked with different colors to facilitate subsequent quantitative statistics. The volume of each color is accurately calculated using software analysis instruments, thus determining the volume of each hydrocarbon component. Figure 7 Laser scanning imaging of fluorescently labeled light hydrocarbon components. Figure 8 This is a laser scanning image of fluorescently labeled light hydrocarbon components. Based on the volume of the laser-scanned area and the volumes of different colors within that area, the content of each hydrocarbon component in the coal sample can be determined. Based on the content of different hydrocarbon components, the amount of coal gas resources can be estimated, guiding the efficient and large-scale development of coal gas resources.

[0089] Based on the same inventive concept, embodiments of the present invention also provide a spectroscopic analysis device for coal and rock extracts. This device can be installed in a device with computational processing capabilities, and its structure is as follows. Figure 9 As shown, it includes:

[0090] The laser scanning module 11 is used to perform full-spectrum laser scanning on a designated area of ​​the slide to obtain a spectral scanning pattern; based on the excitation wavelength and receiving band of each hydrocarbon component obtained by the wavelength extraction module, multi-spectral laser scanning imaging is performed on the entire area of ​​the slide containing the coal and rock sample extract to obtain a laser scanning imaging image of each hydrocarbon component.

[0091] The wavelength extraction module 12 is used to obtain the excitation wavelength range and the receiving wavelength range that cause the extracts of the coal and rock samples to fluoresce based on the spectral scanning plate obtained by the laser scanning module; and to determine the excitation wavelength and receiving band of each hydrocarbon component within the excitation wavelength range and the receiving wavelength range.

[0092] The hydrocarbon content determination module 13 is used to obtain the spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon component obtained from the laser scanning module, and to obtain the content of each hydrocarbon component in the coal rock extract based on the spectral signal.

[0093] Regarding the coal and rock extract spectral analysis device in the above embodiments, the specific operation methods of each module have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0094] The present invention also provides a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method for spectral analysis of coal and rock extracts.

[0095] This invention also provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for spectral analysis of coal and rock extracts.

[0096] Unless otherwise specifically stated, terms such as processing, calculation, operation, determination, display, etc., may refer to the actions and / or processes of one or more processing or computing systems or similar devices that represent the manipulation and conversion of data representing physical (e.g., electronic) quantities within the registers or memory of the processing system into other data similarly representing physical quantities within the memory, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltage, current, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0097] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0098] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0099] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0100] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0101] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0102] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A method for spectroscopic analysis of coal and rock extracts, characterized in that, include: The extracts from the coal and rock samples were refrigerated and sealed in glass slides; A full-spectrum laser scan is performed on a designated area of ​​the glass slide to obtain a spectral scan pattern; Based on the aforementioned spectral scanning chart, the excitation wavelength range and the receiving wavelength range that cause the extracts from the coal and rock samples to exhibit a fluorescent reaction are obtained. Within the excitation wavelength range and the receiving wavelength range, the excitation wavelength and receiving band of each hydrocarbon component are determined. Based on the excitation wavelength and receiving band of each hydrocarbon component, multi-band laser scanning imaging is performed on the entire area of ​​the glass slide containing the coal and rock sample extract to obtain a laser scanning imaging image of each hydrocarbon component. The spectral signal of each hydrocarbon component is obtained from the laser scanning imaging image of each hydrocarbon component, and the content of each hydrocarbon component in the coal rock extract is obtained based on the spectral signal.

2. The method as described in claim 1, characterized in that, Before refrigerating and sealing the extracts from the coal and rock samples, the process further includes: slicing the coal and rock samples under a first low-temperature condition and wrapping them with plastic wrap, and then refrigerating the slices.

3. The method as described in claim 2, characterized in that, Extracts from coal and rock samples include: The refrigerated coal and rock sample slices were wrapped in filter paper and placed in an extractor, which was then heated. Within a preset extraction time, extraction solvent is circulated into the extractor to extract the coal and rock sample, thereby obtaining the extract of the coal and rock sample.

4. The method as described in claim 3, characterized in that, The extraction solvent includes either dichloromethane or trichloromethane. After obtaining the extract from the coal and rock sample, the following are also included: The extract is sealed in a test tube and stored under a second low-temperature condition, wherein the second low-temperature condition is a temperature of -5℃ to 0℃.

5. The method as described in claim 1, characterized in that, A full-spectrum laser scan is performed on a designated area of ​​the glass slide to obtain a spectral scan plate, including: Debug the laser scanning instrument and set the laser scanning parameters; the scanning parameters include at least one of the following: scanning wavelength range, energy intensity, number of pinholes, and gain; Under the scanning parameters, a full-spectrum scan is performed on a specified area of ​​the glass slide to obtain a spectral scan pattern. The full-spectrum scan refers to scanning according to the scanning wavelength range in the scanning parameters.

6. The method as described in claim 1, characterized in that, Based on the aforementioned spectral scanning plate, the excitation wavelength range and receiving wavelength range that cause the extracts from the coal and rock samples to exhibit fluorescence reactions are obtained, including: From the spectral scanning plate, obtain the excitation wavelength plate and the receiving wavelength plate that cause the extract of the coal and rock sample to fluoresce; The excitation wavelength range is obtained from the excitation wavelength chart, and the receiving wavelength range is obtained from the receiving wavelength chart.

7. The method as described in claim 1, characterized in that, The process involves performing multi-spectral laser scanning imaging on the entire area of ​​the glass slide containing the coal and rock sample extract, based on the excitation wavelength and receiving band of each hydrocarbon component, to obtain laser scanning images of each hydrocarbon component, including: For each hydrocarbon component; Based on the excitation wavelength of hydrocarbon components, the entire area of ​​the glass slide of the coal and rock sample extract is scanned by laser. The wavelength reception range of the receiving channel is set according to the receiving band of the hydrocarbon components; Laser scanning images of hydrocarbon components are obtained by acquiring laser scanning images within the wavelength receiving range.

8. The method as described in claim 1, characterized in that, The spectral signal of each hydrocarbon component is obtained from the laser scanning imaging image of each hydrocarbon, and the content of each hydrocarbon component in the coal extract is obtained based on the spectral signal, including: The spectral signal of each hydrocarbon component is acquired from the laser scanning imaging image of the hydrocarbon components, and different colors are assigned to the spectral signal of each hydrocarbon component; The content of each hydrocarbon component in the quantitative extract is determined based on the volume of the laser scanning area and the volume of different colors within the laser scanning area.

9. The method as described in claim 8, characterized in that, The quantitative determination of the content of each hydrocarbon component in the extract based on the volume of the laser scanning area and the volume of different colors includes: The content of each hydrocarbon component in the quantitative extract can be calculated using the following formula: Where, n i Let represent the content of the i-th hydrocarbon component in the coal extract, Vi represent the volume of the color corresponding to the i-th hydrocarbon component in the coal extract, and Vtotal represent the total volume of the laser-scanned area of ​​the coal extract.

10. A spectroscopic analysis device for coal and rock extracts, characterized in that, include: The laser scanning module is used to perform full-spectrum laser scanning on a specified area of ​​the glass slide to obtain a spectral scanning pattern; Based on the excitation wavelength and receiving band of each hydrocarbon component obtained by the wavelength extraction module, multi-band laser scanning imaging is performed on the entire area of ​​the glass slide containing the coal and rock sample extract to obtain laser scanning imaging images of each hydrocarbon component. The wavelength extraction module is used to obtain the excitation wavelength range and the receiving wavelength range that cause the extracts of the coal and rock samples to fluoresce based on the spectral scanning plate obtained by the laser scanning module; and to determine the excitation wavelength and receiving band of each hydrocarbon component within the excitation wavelength range and the receiving wavelength range. The hydrocarbon content determination module is used to acquire the spectral signal of each hydrocarbon component from the laser scanning imaging image of each hydrocarbon component obtained from the laser scanning module, and to obtain the content of each hydrocarbon component in the coal rock extract based on the spectral signal.

11. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, which, when executed by a processor, implement the spectral analysis method for coal and rock extracts according to any one of claims 1-9.

12. A computer device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method for spectroscopic analysis of coal and rock extracts according to any one of claims 1-9.

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