Method and device for identifying maturity of hydrocarbon fluid in formation

Abstract

The present invention discloses a method and apparatus for determining the maturity of hydrocarbon fluids in a formation. The method comprises: obtaining a fluorescent image of a fluorescent inclusion, the fluorescent image being obtained by photographing the fluorescent inclusion, the fluorescent inclusion being found by observing a thin section of a rock sample from a target formation using a fluorescence microscope, the rock sample containing hydrocarbon fluid; extracting multiple pixels of the inclusion in the fluorescent image, measuring the HSL values ​​of the multiple pixels; and identifying the maturity of the hydrocarbon fluid in the target formation based on the HSL values ​​of the multiple pixels. The present invention can rapidly determine the maturity of hydrocarbon fluids in a formation, and is cost-effective, simple, fast, and highly efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration, and in particular to a system and method for identifying the maturity of hydrocarbon fluids in a formation. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] With the exploration and development of oil and gas in basins around the world, the difficulty of oil and gas exploration has increased. However, the study of oil and gas accumulation processes can effectively guide oil and gas exploration and development. As an important part of oil and gas accumulation research, the determination of hydrocarbon fluid maturity is a key parameter for studying oil and gas accumulation processes, analyzing oil and gas migration and secondary changes. Currently, hydrocarbon fluid maturity is mainly determined by various geochemical parameters, including Pr / nC17 and Ph / nC18 of pristane and phytane, Ts / (Ts+Tm) and C29Ts / (C29Ts+C29TsH), trimethylnaphthalene ratio (TMNr) and tetramethylnaphthalene ratio (TeMNr), methylphenanthrene ratio (MPR) and methylphenanthrene index (MPI1). However, obtaining these geochemical parameters often requires expensive experimental costs and long experimental time. Summary of the Invention

[0004] In a first aspect, an embodiment of the present invention provides a method for determining the maturity of hydrocarbon fluids in a formation, which is low-cost, simple, fast, and efficient. The method comprises:

[0005] Obtaining a fluorescent image of a fluorescent inclusion, wherein the fluorescent image is obtained by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid;

[0006] Extract multiple pixel points of the inclusion in the fluorescence image and test the HSL values ​​of the multiple pixel points;

[0007] The maturity of hydrocarbon fluids in the target formation is identified based on the HSL values ​​of multiple pixel points.

[0008] In a second aspect, an embodiment of the present invention further provides a device for determining the maturity of hydrocarbon fluids in a formation, which is low-cost, simple, fast, and efficient. The device comprises:

[0009] a fluorescence image acquisition module, configured to acquire a fluorescence image of a fluorescent inclusion, wherein the fluorescence image is obtained by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid;

[0010] The HSL value calculation module is used to extract multiple pixel points of the inclusion in the fluorescence image and test the HSL values ​​of the multiple pixel points;

[0011] The maturity identification module is used to identify the maturity of hydrocarbon fluids in the target formation based on the HSL values ​​of multiple pixel points.

[0012] In a third aspect, an embodiment of the present invention further provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for determining the maturity of hydrocarbon fluids in a formation when executing the computer program.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for identifying the maturity of hydrocarbon fluids in a formation is implemented.

[0014] In a fifth aspect, an embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the above-mentioned method for identifying the maturity of hydrocarbon fluids in a formation.

[0015] In an embodiment of the present invention, a fluorescence image of a fluorescent inclusion is obtained by photographing the fluorescent inclusion. The fluorescent inclusion is found by observing a thin section of a rock sample from a target formation using a fluorescence microscope. The rock sample contains hydrocarbon fluid. Multiple pixels of the inclusion in the fluorescence image are extracted and the HSL values ​​of the multiple pixels are measured. Based on the HSL values ​​of the multiple pixels, the maturity of the hydrocarbon fluid in the target formation is identified. Compared to existing solutions that rely on various geochemical parameters, which often require expensive and time-consuming experiments, the embodiment of the present invention only requires a fluorescence image of the inclusion (which is a necessary item in various experiments such as inclusion homogenization temperature and inclusion gas-liquid ratio testing) to determine the maturity of the hydrocarbon fluid in the inclusion, eliminating the need for expensive and time-consuming geochemical experiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0017] Figure 1 Flowchart of a method for determining the maturity of hydrocarbon fluid in a formation according to an embodiment of the present invention;

[0018] Figure 2 This is a schematic diagram of a thin section obtained by cutting when a sample develops secondary minerals in an embodiment of the present invention;

[0019] Figure 3 Schematic diagram of fluorescence of hydrocarbon-containing fluid inclusions in an embodiment of the present invention;

[0020] Figure 4 This is a structural block diagram of an apparatus for determining the maturity of hydrocarbon fluids in a formation according to an embodiment of the present invention;

[0021] Figure 5 Schematic diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0023] First, the terms involved in the embodiments of the present invention are explained.

[0024] Inclusions are closed systems within a mineral composed of one or more phases of material that share a phase boundary with the host mineral. Inclusions can originate from foreign materials unrelated to the host mineral or from the same lithogenic or mineralizing medium as the host mineral. Inclusions vary in composition, shape, and size, and can exist in solid, liquid, and gaseous phases, as well as in various combinations of these three phases. Because they contain the "mother liquor" of lithogenesis and mineralization, inclusions are valuable samples for studying geological processes, providing a relatively objective reflection of the geological history.

[0025] HSL values: HSL represents points in the RGB color model in a cylindrical coordinate system. These two representations attempt to be more intuitive than the geometric RGB structure based on a Cartesian coordinate system. It is one of the most widely used color systems and consists of three elements: hue, saturation, and brightness.

[0026] The inventors discovered that hydrocarbon-containing organic inclusions are primarily composed of saturated hydrocarbons and aromatic hydrocarbons. Since saturated hydrocarbons do not fluoresce, aromatic hydrocarbons dominate the fluorescence of organic inclusions. The higher the maturity of the organic matter, the greater the degree of condensation of the aromatic hydrocarbons, and the fluorescence spectrum shifts significantly toward the red region. Therefore, the maturity of organic matter can be studied based on the fluorescence spectral characteristics of organic inclusions, providing a theoretical basis for determining oil and gas maturity using fluorescence color.

[0027] The embodiment of the present invention judges the maturity of hydrocarbon fluids based on the fluorescence of oil, inclusion temperature measurement, fluorescence analysis, and the application of the HLS color model. It has been well applied in the Fushan Sag of the Beibu Gulf Basin and is consistent with the actual situation, providing a new approach for judging the maturity of hydrocarbon fluids.

[0028] Due to the intrusion of igneous rocks in the eastern part of the Fushan Sag in the Beibu Gulf Basin, the oil and gas maturity is quite different between the east and west. The identification of oil and gas maturity is of great significance for analyzing the formation process and distribution pattern of oil and gas reservoirs and the entire oil and gas exploration.

[0029] Figure 1 The flowchart of the method for determining the maturity of hydrocarbon fluid in a formation according to an embodiment of the present invention includes:

[0030] Step 101: obtaining a fluorescence image of a fluorescent inclusion, wherein the fluorescence image is obtained by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid;

[0031] Step 102, extracting multiple pixel points of the inclusion in the fluorescent image and testing the HSL values ​​of the multiple pixel points;

[0032] Step 103: Identify the maturity of the hydrocarbon fluid in the target formation based on the HSL values ​​of the multiple pixel points.

[0033] In this embodiment of the present invention, compared to existing techniques that rely on various geochemical parameters, which often require expensive and time-consuming experiments, the present embodiment only requires fluorescence images of inclusions (a necessary component of various experiments such as inclusion homogenization temperature and inclusion gas-liquid ratio testing) to determine the maturity of hydrocarbon fluids in inclusions, eliminating the need for expensive and time-consuming geochemical experiments. In step 101, a fluorescence image of a fluorescent inclusion is obtained. The fluorescence image is obtained by photographing the fluorescent inclusion. The fluorescent inclusion is found by observing a thin section of a rock sample of the target formation using a fluorescence microscope. The rock sample contains hydrocarbon fluids.

[0034] In one embodiment, the thin slice of the rock sample is a double-sided polished slice;

[0035] The rock samples are those near oil and gas reservoir wells and have a lot of secondary minerals;

[0036] If the target horizon is mudstone, the rock sample is taken from a thin interlayer of sandstone in the mudstone.

[0037] It should be noted that when selecting rock samples near oil and gas reservoirs and samples with rich secondary minerals, try to avoid mudstone, because mudstone captures less inclusions than sandstone, which will be difficult to find and affect subsequent work.

[0038] In addition, if the sample develops secondary minerals (such as calcite veins, quartz veins, etc., Figure 2 ), it is recommended to make thin sections parallel or perpendicular to the secondary mineral veins, which is easier to find a large number of inclusions. Under this sampling and slicing principle, double-sided polished thin sections are made;

[0039] In one embodiment, the fluorescent inclusions are found by observing the distribution of labeled inclusions using a fluorescence microscope;

[0040] The distribution of the marked inclusions is determined by observing the properties of thin sections of rock samples using a polarizing microscope, and the properties include one or any combination of the occurrence, morphology, size, phase, color, and relationship with sedimentary rock diagenesis of the inclusions.

[0041] In the specific implementation, the fluorescence of the double-sided polished thin section was observed under a Leica EL6000 fluorescence microscope. The fluorescent inclusions were found due to the presence of inclusions. The inclusions were photographed at the maximum magnification to fill the entire field of view, and as many fluorescent images of the fluorescent inclusions as possible with a fluorescence color brightness greater than the preset brightness were collected (e.g. Figure 3 ) and mark it.

[0042] In step 102, a plurality of pixel points of the inclusion in the fluorescent image are extracted, and the HSL values ​​of the plurality of pixel points are tested;

[0043] In one embodiment, extracting multiple pixel points of the inclusion in the fluorescent image and testing the HSL values ​​of the multiple pixel points includes:

[0044] Extract the pixel points of the inclusions in the fluorescence image by responding to mouse clicks;

[0045] Convert the GBR value of the pixel to RGB value and add it to the rgb array;

[0046] Convert the RGB value in the rgb array to HSL value to obtain the HSL value of the pixel;

[0047] Display the RGB value of the pixel in the fluorescence image and wait for the next mouse click response;

[0048] Repeat the above steps to obtain the HSL values ​​of multiple pixels.

[0049] In one embodiment, extracting pixels of inclusions in a fluorescent image in response to a mouse click includes:

[0050] Read the fluorescence image and zoom it according to the preset zoom factor;

[0051] The pixel points of the inclusions in the fluorescence image are extracted from the zoomed fluorescence image by responding to mouse clicks.

[0052] In one embodiment, converting the RGB values ​​in the rgb array into HSL values ​​to obtain the HSL values ​​of the pixels includes:

[0053] Normalize the RGB values ​​in the rgb array;

[0054] According to the normalized RGB value, the HSL value is calculated according to the following formula:

[0055]

[0056]

[0057]

[0058] Among them, h is the hue value in HSL value, l is the brightness in HSL value, s is the saturation in HSL value; r, g, b are the color values ​​of the red, green, and blue channels in the normalized RGB value, max is the maximum value of r, g, and b, and min is the minimum value of r, g, and b.

[0059] The above steps can be obtained by the image pixel HSL value acquisition device, and the algorithm formed by the above steps is used in the open source environment of python+openCV. The code of the algorithm is as follows:

[0060]

[0061]

[0062] In the above process, the HSL values ​​of multiple pixel points of the inclusion fluorescence image are obtained as much as possible through the image HSL acquisition device, and the HSL values ​​are selected at different positions of the inclusion, but cannot exceed the fluorescence range of the inclusion (such as Figure 3 The purpose of obtaining the HSL values ​​of as many pixels as possible is to select as many samples as possible and then calculate the average to reduce the error.

[0063] In step 103, the maturity of the hydrocarbon fluid in the target formation is identified based on the HSL values ​​of the plurality of pixel points.

[0064] In one embodiment, identifying the maturity of hydrocarbon fluid in a target formation based on HSL values ​​of a plurality of pixel points includes:

[0065] Screening inclusions whose saturation in the HSL value is greater than a preset saturation and whose brightness is greater than a first preset brightness and less than a second preset brightness as research objects, to obtain a plurality of research objects;

[0066] Calculate the average HSL value of multiple subjects;

[0067] The maturity level of the hydrocarbon fluid is determined according to the preset range of the hue in the average value of the HSL value.

[0068] In a specific implementation, the preset saturation can be 0.32, the first preset brightness can be 0.20, and the second preset brightness can be 0.86. The reason for a saturation greater than 0.32 and a brightness greater than 0.20 but less than 0.86 is that, in a fluorescence image, excessive brightness can result in a white cast, while low brightness can result in a dark cast, making it difficult to determine the true fluorescence color. A low saturation indicates that the pixel in the fluorescence image appears close to gray-black, indicating a non-fluorescent region, outside the hydrocarbon-bearing fluid inclusion range and unsuitable for research. Of course, other values ​​can be used depending on actual circumstances, and all such variations are intended to fall within the scope of the present invention.

[0069] Preferably, the number of research subjects is greater than or equal to 5, and the average value of the HSL values ​​of the multiple research subjects is calculated.

[0070] In one embodiment, determining the maturity level of the hydrocarbon fluid based on the preset range of the hue in the average value of the HSL value includes:

[0071] If the hue is within the first preset range, the maturity of the hydrocarbon fluid is determined to be low maturity;

[0072] If the hue is within the second preset range, the maturity of the hydrocarbon fluid is determined to be medium maturity;

[0073] If the hue is within the third preset range, the maturity of the hydrocarbon fluid is determined to be high.

[0074] For example, when the first preset range is 0.08~0.20, the corresponding Ts / (Ts+Tm) value is 0.45~0.55; the second preset range is 0.20~0.43, the corresponding Ts / (Ts+Tm) value is 0.55~0.62; the third preset range is 0.43~0.70, the corresponding Ts / (Ts+Tm) value is 0.62~0.81.

[0075] In summary, the method proposed in an embodiment of the present invention obtains a fluorescence image of a fluorescent inclusion. The fluorescence image is obtained by photographing the fluorescent inclusion, which is found by observing a thin section of a rock sample of a target formation using a fluorescence microscope. The rock sample includes hydrocarbon fluids. Multiple pixels of the inclusion in the fluorescence image are extracted and the HSL values ​​of the multiple pixels are tested. The maturity of the hydrocarbon fluid in the target formation is identified based on the HSL values ​​of the multiple pixels. Compared to existing solutions that rely on various geochemical parameters, the acquisition of which often requires expensive and time-consuming experiments, the method proposed in the embodiment of the present invention only requires a fluorescence image of the inclusion (which is a necessary item in various experiments such as inclusion homogenization temperature and inclusion gas-liquid ratio testing) to determine the maturity of the hydrocarbon fluid in the inclusion, eliminating the need for expensive and time-consuming geochemical experiments.

[0076] The embodiment of the present invention further provides a device for determining the maturity of hydrocarbon fluids in a formation. The principle of the device is similar to the method for determining the maturity of hydrocarbon fluids in a formation, and will not be described in detail here.

[0077] Figure 4 Schematic diagram of a device for determining the maturity of hydrocarbon fluids in a formation according to an embodiment of the present invention, comprising:

[0078] a fluorescence image acquisition module 401 for acquiring a fluorescence image of a fluorescent inclusion, wherein the fluorescence image is acquired by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid;

[0079] An HSL value calculation module 402 is used to extract multiple pixel points of the inclusion in the fluorescent image and test the HSL values ​​of the multiple pixel points;

[0080] The maturity identification module 403 is used to identify the maturity of the hydrocarbon fluid in the target formation according to the HSL values ​​of multiple pixel points.

[0081] In one embodiment, the thin slice of the rock sample is a double-sided polished slice;

[0082] The rock samples are those near oil and gas reservoir wells and have a lot of secondary minerals;

[0083] If the target horizon is mudstone, the rock sample is taken from a thin interlayer of sandstone in the mudstone.

[0084] In one embodiment, the fluorescent inclusions are found by observing the distribution of labeled inclusions using a fluorescence microscope;

[0085] The distribution of the marked inclusions is determined by observing the properties of thin sections of rock samples using a polarizing microscope, and the properties include one or any combination of the occurrence, morphology, size, phase, color, and relationship with sedimentary rock diagenesis of the inclusions.

[0086] In one embodiment, the fluorescent image is a fluorescent image of a fluorescent inclusion having a fluorescent color with a brightness greater than a preset brightness.

[0087] In one embodiment, the HSL value calculation module is specifically configured to:

[0088] Extract the pixel points of the inclusions in the fluorescence image by responding to mouse clicks;

[0089] Convert the GBR value of the pixel to RGB value and add it to the rgb array;

[0090] Convert the RGB value in the rgb array to HSL value to obtain the HSL value of the pixel;

[0091] Display the RGB value of the pixel in the fluorescence image and wait for the next mouse click response;

[0092] Repeat the above steps to obtain the HSL values ​​of multiple pixels.

[0093] In one embodiment, the HSL value calculation module is specifically configured to:

[0094] Read the fluorescence image and zoom it according to the preset zoom factor;

[0095] The pixel points of the inclusions in the fluorescence image are extracted from the zoomed fluorescence image by responding to mouse clicks.

[0096] In one embodiment, the HSL value calculation module is specifically configured to:

[0097] Normalize the RGB values ​​in the rgb array;

[0098] According to the normalized RGB value, the HSL value is calculated according to the following formula:

[0099]

[0100]

[0101]

[0102] Among them, h is the hue value in HSL value, l is the brightness in HSL value, s is the saturation in HSL value; r, g, b are the color values ​​of the red, green, and blue channels in the normalized RGB value, max is the maximum value of r, g, and b, and min is the minimum value of r, g, and b.

[0103] In one embodiment, the maturity identification module is specifically configured to:

[0104] Screening inclusions whose saturation in the HSL value is greater than a preset saturation and whose brightness is greater than a first preset brightness and less than a second preset brightness as research objects, to obtain a plurality of research objects;

[0105] Calculate the average HSL value of multiple subjects;

[0106] The maturity level of the hydrocarbon fluid is determined according to the preset range of the hue in the average value of the HSL value.

[0107] In one embodiment, the maturity identification module is specifically configured to:

[0108] If the hue is within the first preset range, the maturity of the hydrocarbon fluid is determined to be low maturity;

[0109] If the hue is within the second preset range, the maturity of the hydrocarbon fluid is determined to be medium maturity;

[0110] If the hue is within the third preset range, the maturity of the hydrocarbon fluid is determined to be high.

[0111] In summary, the apparatus proposed in the embodiments of the present invention obtains a fluorescence image of a fluorescent inclusion. The fluorescence image is obtained by photographing the fluorescent inclusion, which is found by observing a thin section of a rock sample from a target formation using a fluorescence microscope. The rock sample includes a hydrocarbon fluid. Multiple pixels of the inclusion in the fluorescence image are extracted and the HSL values ​​of the multiple pixels are tested. The maturity of the hydrocarbon fluid in the target formation is identified based on the HSL values ​​of the multiple pixels. Compared to prior art solutions that rely on various geochemical parameters, the acquisition of which often requires expensive and time-consuming experiments, the embodiments of the present invention only require inclusion fluorescence images (which are essential for various experiments such as inclusion homogenization temperature and inclusion gas-liquid ratio testing) to determine the maturity of the hydrocarbon fluid in the inclusion, eliminating the need for expensive and time-consuming geochemical experiments.

[0112] An embodiment of the present invention further provides a computer device, Figure 5 This is a schematic diagram of a computer device in an embodiment of the present invention. The computer device 500 includes a memory 510, a processor 520, and a computer program 530 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 530, the method for determining the maturity of hydrocarbon fluids in the formation is implemented.

[0113] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for determining the maturity of hydrocarbon fluids in a formation is implemented.

[0114] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for determining the maturity of hydrocarbon fluid in a formation.

[0115] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0117] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0119] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for determining the maturity of hydrocarbon fluid in a formation, characterized in that: include: Obtaining a fluorescent image of a fluorescent inclusion, wherein the fluorescent image is obtained by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid; Extract multiple pixel points of the inclusion in the fluorescence image and test the HSL values ​​of the multiple pixel points; Identify the maturity of hydrocarbon fluids in the target formation based on the HSL values ​​of multiple pixel points; The maturity of hydrocarbon fluids in a target formation is identified based on the HSL values ​​of a plurality of pixel points, including: screening inclusions having a saturation greater than a preset saturation and a brightness greater than a first preset brightness and less than a second preset brightness in the HSL value as research objects, thereby obtaining a plurality of research objects; calculating an average value of the HSL values ​​of the plurality of research objects; and determining the maturity level of the hydrocarbon fluid based on a preset range of the hue in the average value of the HSL value.

2. The method according to claim 1, characterized in that Thin sections of rock samples were double-sided polished sections; The rock samples are those near oil and gas reservoir wells and rich in secondary minerals; If the target horizon is mudstone, the rock sample is taken from a thin interlayer of sandstone in the mudstone.

3. The method according to claim 1, characterized in that Fluorescent inclusions were found by observing the distribution of labeled inclusions using fluorescence microscopy; The distribution of the marked inclusions is determined by observing the properties of thin sections of rock samples using a polarizing microscope, and the properties include one or any combination of the relationship between the occurrence, morphology, size, phase, color of the inclusions and the sedimentary rock diagenesis.

4. The method according to claim 1, wherein The fluorescent image is a fluorescent image of a fluorescent inclusion with a fluorescent color brightness greater than a preset brightness.

5. The method according to claim 1, wherein Extract multiple pixel points of the inclusion in the fluorescence image and test the HSL values ​​of multiple pixel points, including: Extract the pixel points of the inclusions in the fluorescence image by responding to mouse clicks; Convert the GBR value of the pixel to RGB value and add it to the rgb array; Convert the RGB value in the rgb array to HSL value to obtain the HSL value of the pixel; Display the RGB value of the pixel in the fluorescence image and wait for the next mouse click response; Repeat the above steps to obtain the HSL values ​​of multiple pixels.

6. The method according to claim 5, characterized in that Extract pixel points of inclusions in fluorescence images by mouse click response, including: Read the fluorescence image and zoom it according to the preset zoom factor; The pixel points of the inclusions in the fluorescence image are extracted from the zoomed fluorescence image by responding to mouse clicks.

7. The method according to claim 5, characterized in that Convert the RGB values ​​in the rgb array to HSL values ​​to obtain the HSL values ​​of the pixels, including: Normalize the RGB values ​​in the rgb array; According to the normalized RGB value, the HSL value is calculated according to the following formula: Among them, h is the hue value in HSL value, l is the brightness in HSL value, s is the saturation in HSL value; r, g, b are the color values ​​of the red, green, and blue channels in the normalized RGB value, max is the maximum value of r, g, and b, and min is the minimum value of r, g, and b.

8. The method according to claim 1, characterized in that Determining the maturity level of the hydrocarbon fluid according to the preset range of the hue in the average value of the HSL value includes: If the hue is within the first preset range, the maturity of the hydrocarbon fluid is determined to be low maturity; If the hue is within the second preset range, the maturity of the hydrocarbon fluid is determined to be medium maturity; If the hue is within the third preset range, the maturity of the hydrocarbon fluid is determined to be high.

9. A device for determining the maturity of hydrocarbon fluids in a formation, characterized in that: include: a fluorescence image acquisition module, configured to acquire a fluorescence image of a fluorescent inclusion, wherein the fluorescence image is obtained by photographing the fluorescent inclusion, wherein the fluorescent inclusion is found by observing a thin section of a rock sample of a target formation through a fluorescence microscope, wherein the rock sample includes hydrocarbon fluid; The HSL value calculation module is used to extract multiple pixel points of the inclusion in the fluorescence image and test the HSL values ​​of the multiple pixel points; A maturity identification module is used to identify the maturity of hydrocarbon fluids in the target formation based on the HSL values ​​of multiple pixel points; The maturity of hydrocarbon fluids in a target formation is identified based on the HSL values ​​of a plurality of pixel points, including: screening inclusions having a saturation greater than a preset saturation and a brightness greater than a first preset brightness and less than a second preset brightness in the HSL value as research objects, thereby obtaining a plurality of research objects; calculating an average value of the HSL values ​​of the plurality of research objects; and determining the maturity level of the hydrocarbon fluid based on a preset range of the hue in the average value of the HSL value.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

12. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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