Method and device for identifying lithology of high-quality oil reservoir based on normalization method

Abstract

The invention relates to the technical field of high-quality oil reservoir identification methods, in particular to a high-quality oil reservoir lithology identification method and device based on a normalization method, and the method comprises the steps: building a high-quality oil reservoir lithology identification standard based on the types of minerals capable of dividing a high-quality oil reservoir and the normalized mineral content; obtaining the mineral content of the lithologic well section rock sample of the unknown oil layer in the same area, and normalizing the mineral content of the mineral types capable of dividing the high-quality oil layer according to the mineral types capable of dividing the high-quality oil layer; and comparing the normalized mineral content corresponding to the well section rock sample with the unknown oil layer lithology with the high-quality oil layer lithology identification standard, and identifying the oil layer lithology of the well section rock sample with the unknown oil layer lithology. According to the method, the high-quality oil layer can be accurately screened out, the situation that areas with high mining value are missed is effectively avoided, and the exploration efficiency is remarkably improved. Moreover, the exploration cost and time are reduced, blind exploration is not needed any more, and resource allocation is optimized. And a reliable technical guarantee is provided for identifying the lithology of the high-quality oil reservoir of the unconventional oil and gas reservoir.

Description

Technical Field

[0001] The invention relates to the technical field of high-quality oil layer identification methods, and relates to a high-quality oil layer lithology identification method and device based on a normalization method. Background Art

[0002] During unconventional oil and gas exploration and development, the lithology of unconventional oil and gas formations is impure, with carbonates and tuffs being common, resulting in complex physical and chemical properties. Furthermore, the lithology varies at the centimeter-scale, with interbedded layers. This delicate structure makes lithology identification challenging. Traditional identification methods, whether based on geological outcrop observations or geophysical logging, struggle to accurately identify such complex lithology variations. This difficulty in lithology identification directly hinders the effective selection and identification of high-quality oil reservoirs, increasing exploration costs and time while also potentially missing areas of high potential for exploration.

[0003] Patent application publication number CN112443321A discloses a method and apparatus for identifying oil layers based on a reservoir quality index. The method comprises: acquiring well logging data, including acoustic transit time, compensated neutron, density logging, oil content of logging cuttings, and total hydrocarbon values ​​from gas logging; determining reservoir quality parameters based on the logging data, including matrix porosity, fracture development, oil content from logging, total hydrocarbon indication, and shale content; determining a reservoir quality index based on the reservoir quality parameters; and identifying oil layers using the reservoir quality index. This method is simple and feasible for oil layer identification, and offers high reference value, high accuracy, and widespread practical application.

[0004] Patent application publication number CN114218862A discloses a method for identifying oil and gas reservoirs in oil well logging using HHO-RCNN. The method involves first acquiring multiple logging data from oil wells, then preprocessing and normalizing the data. Next, a Recurrent Neural Network (RCNN) network model is constructed, comprising multiple RCNN residual units. Finally, the Harris Eagle optimization algorithm is used to optimize the RCNN network model parameters to obtain the HHO-RCNN model. The HHO-RCNN model is then trained and used for oil and gas reservoir identification in oil well logging. The RCNN network model parameters include the number of RCNN residual units, convolution kernel size, number of filters, and the learning rate, hyperparameters, and weight decay factor of the Adam optimization algorithm. This method achieves high recognition accuracy by obtaining an optimal RCNN network model through HHO optimization.

[0005] None of the above methods for identifying oil or oil and gas layers involves the identification of high-quality oil layers. Summary of the Invention

[0006] The present invention provides a method and device for identifying the lithology of high-quality oil layers based on the normalization method, which overcomes the shortcomings of the above-mentioned existing technologies, uses the normalization method to normalize the rock mineral content, establishes a high-quality oil layer lithology identification standard, and provides technical support for the lithology identification of high-quality oil layers in unconventional oil and gas reservoirs.

[0007] One of the technical solutions of the present invention is achieved through the following measures: a method for identifying high-quality oil layer lithology based on normalization method, comprising: Obtain mineral content of rock samples from multiple well sections tested in the area; Normalizing the mineral contents of the rock samples from the oil-tested well sections to obtain normalized mineral contents of the rock samples from the oil-tested well sections; The normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct a cross-plot, and the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot are identified in combination with the oil test interpretation results of the tested well sections; Based on the mineral types and normalized mineral content that can classify high-quality oil layers, establish the lithologic identification standard for high-quality oil layers; Obtaining the mineral content of rock samples of unknown oil layer lithology sections in the same area, and normalizing the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section is compared with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

[0008] The following is a further optimization and / or improvement of one of the above-mentioned technical solutions: The above-mentioned mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

[0009] The mineral content normalization formula is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

[0010] The normalized mineral contents of the rock samples from the above-mentioned well sections that have been tested are intersected in pairs to construct an intersection diagram. Specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

[0011] For the above-mentioned rock formations containing carbonate or tuff and with interbedded lithology changes at the centimeter level, the lithology identification standards for high-quality oil layers are: the normalized quartz content is less than 30%, and the normalized feldspar content is greater than 45%.

[0012] That is, when the normalized quartz content is less than 30% and the normalized feldspar content is greater than 45%, the oil layer is a high-quality oil layer.

[0013] The second technical solution of the present invention is achieved by the following measures: a device for applying the high-quality oil layer lithology identification method based on the normalization method described in the first technical solution, comprising: The first module obtains the mineral content of rock samples from multiple well sections tested in the area; The second module normalizes the mineral content of the rock samples of the tested oil well sections to obtain normalized mineral content of the rock samples of the tested oil well sections; The third module intersects the normalized mineral contents of the rock samples of the tested well sections in pairs to construct a cross-plot, and combines the oil test interpretation results of the tested well sections to identify the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot; The fourth module establishes the lithologic identification criteria for high-quality oil layers based on the mineral types and normalized mineral content that can classify high-quality oil layers; The fifth module obtains the mineral content of rock samples of unknown oil layer lithology in the same area, and normalizes the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The sixth module compares the normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

[0014] The following is a further optimization and / or improvement of the second technical solution of the above invention: In the above-mentioned first module, the mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

[0015] The second module includes a normalization processing unit, Normalization processing unit: The mineral content normalization processing formula is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content, %; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

[0016] In the third module, the normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct an intersection diagram. Specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

[0017] In the fourth module above, for rock formations containing carbonate or tuff and with interbedded lithology at the centimeter level, the lithology identification criteria for high-quality oil layers are: the normalized quartz content is less than 30%, and the normalized feldspar content is greater than 45%.

[0018] Beneficial effects of the high-quality oil layer lithology identification method based on the normalization method of the present invention: First, it significantly improves the accuracy of lithologic identification of high-quality oil reservoirs, overcoming the challenges associated with complex lithologic properties and centimeter-level interbed variations, and reversing the difficulty of accurate identification with traditional methods. Second, it enables precise screening of high-quality oil reservoirs, effectively avoiding missed areas of high exploitation value and significantly improving exploration efficiency. Furthermore, it reduces exploration costs and time, eliminates blind exploration, and optimizes resource allocation. This provides reliable technical support for the lithologic identification of high-quality oil reservoirs in unconventional oil and gas reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Attachment Figure 1 is a cross plot of normalized clay mineral content and normalized quartz content.

[0020] Attachment Figure 2 is a cross plot of normalized quartz content and normalized feldspar content.

[0021] Attachment Figure 3 is the cross plot of normalized clay mineral content and normalized feldspar content.

[0022] Attachment Figure 4 This is the mud logging interpretation diagram for Case 1.

[0023] Attachment Figure 5 This is the mud logging interpretation diagram for Case 2.

[0024] In the accompanying drawings, the normalized quartz content is represented by quartz, the normalized clay mineral content is represented by clay mineral, and the normalized feldspar content is represented by feldspar. DETAILED DESCRIPTION

[0025] The present invention is not limited to the following embodiments, and specific implementation methods can be determined based on the technical solutions of the present invention and actual conditions.

[0026] In the present invention, it should be noted that the terms "first," "second," and "third," etc., are used solely to facilitate description and simplify the present invention. They are not intended to indicate or imply that the modules or components referred to must follow a specific order or operate in any particular manner. Therefore, they should not be construed as limitations on the present invention. Percentages in the present invention, unless otherwise specified, are by mass.

[0027] In unconventional oil and gas exploration and development areas, formation lithologies commonly contain carbonates or tuffs, with complex lithologies and interbedded variations at the centimeter scale. A certain area is one of these unconventional oil and gas exploration and development areas. Clay minerals, quartz, and feldspar (plagioclase + potassium feldspar) are the primary mineral components of the lithology in this area. These minerals play a key role in influencing reservoir properties and lithology identification, so they were selected as the target for normalization. The specific research process is as follows: 1) Extensive sampling: Select multiple representative well sections with proven oil production within the target exploration area. These sections should cover diverse geological structures, depths, and lithologic characteristics to ensure diverse and comprehensive sampling. Systematically sample each selected well section, collecting a sufficient number of core samples (i.e., rock specimens) to ensure accurate representation of the lithologic characteristics of that section.

[0028] 2) Comprehensive Mineral Composition Analysis: X-ray diffractometers are used to conduct precise mineral composition analysis on a large number of collected core samples. X-ray diffractometers can provide detailed information on the specific mineral content of each core sample, including clay minerals, quartz, feldspar (plagioclase and potassium feldspar measured separately), carbonate minerals, tuffaceous minerals, and other minerals.

[0029] 3) Preliminary Data Collation and Correlation Analysis: Mineral content data obtained from X-ray diffractometer analysis was collated and detailed data tables were created. Correlation analysis was conducted between the lithologic characteristics of different well sections (e.g., oil-water layers, poor oil-recovery layers, dry layers, etc.) and the corresponding mineral content data. By calculating correlation coefficients between different mineral contents and reservoir properties (e.g., oil saturation, permeability, and other indicators of reservoir quality), mineral species with high correlations with reservoir properties were preliminarily identified. The analysis revealed a strong correlation between changes in the content of clay minerals, quartz, and feldspar (plagioclase + potassium feldspar) and reservoir properties such as oil saturation and permeability.

[0030] 4) Comprehensive evaluation of multiple factors: Consider the stability and changing trend of mineral content.

[0031] Observe the fluctuations in the content of various minerals in different well sections and geological conditions. Although the content of clay minerals, quartz, and feldspar (plagioclase + potassium feldspar) varies in different samples, it still shows a relatively stable trend, which can better reflect the characteristics of the reservoir.

[0032] To evaluate the relative importance of minerals in the rock composition, through statistical analysis of a large number of samples, it was found that these three minerals occupy a relatively high proportion in the overall composition of the rock in the region and are key minerals that affect the physical and chemical properties of the rock.

[0033] Combining geological genesis and sedimentary environment, we analyzed the relationship between different minerals and the formation and evolution of oil reservoirs. Clay minerals, quartz, and feldspar (plagioclase + potassium feldspar), within the region's sedimentary environment, are closely linked to the migration and accumulation of oil and gas, significantly impacting the formation and quality of oil reservoirs.

[0034] 5) Determining the Screening Results: Based on the above analysis, clay minerals, quartz, and feldspar (plagioclase + potassium feldspar) all demonstrate significant advantages in terms of correlation with reservoir properties, content stability, importance in lithologic composition, and relationship to reservoir formation and evolution. Therefore, these three minerals were ultimately selected for normalization to establish a lithologic identification standard for high-quality reservoirs based on normalization, thereby effectively identifying these reservoirs.

[0035] The present invention will be further described below in conjunction with the embodiments: Example 1: A method for identifying high-quality oil layer lithology based on a normalization method, comprising: Obtain mineral content of rock samples from multiple well sections tested in the area; Normalizing the mineral contents of the rock samples from the oil-tested well sections to obtain normalized mineral contents of the rock samples from the oil-tested well sections; The normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct a cross-plot, and the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot are identified in combination with the oil test interpretation results of the tested well sections; Based on the mineral types and normalized mineral content that can classify high-quality oil layers, establish the lithologic identification standard for high-quality oil layers; Obtaining the mineral content of rock samples of unknown oil layer lithology sections in the same area, and normalizing the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section is compared with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

[0036] In the present invention, the method for obtaining the mineral content may be to directly use the mineral content result without analyzing the mineral content.

[0037] Example 2: As an optimization of the above example, the mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

[0038] Example 3: As an optimization of the above Example 2, the mineral content normalization formula is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content, %; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

[0039] The analytical values ​​of quartz content, feldspar content and clay mineral content are all obtained by analyzing rock samples with an X-ray diffractometer.

[0040] Example 4: As an optimization of the above example, the normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct an intersection diagram, specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

[0041] When constructing a crossplot, the normalized clay mineral content, normalized quartz content, and normalized feldspar content can be used as both the horizontal and vertical axes. Three crossplots can be constructed using the three: the crossplot of normalized clay mineral content and normalized quartz content, the crossplot of normalized quartz content and normalized feldspar content, and the crossplot of normalized clay mineral content and normalized feldspar content.

[0042] High-quality oil layers generally refer to oil layers and oil-water layers. Non-high-quality oil layers generally refer to oil layers other than high-quality oil layers.

[0043] For example, for a certain area (the rock formation in this area is carbonate or tuffaceous and the lithology changes at the centimeter level), after the clay mineral content, quartz content and feldspar content are normalized in a certain test well section, a quartz-clay mineral intersection diagram is drawn with the normalized quartz content as the ordinate and the normalized clay mineral content as the abscissa (see Figure 1 ),Depend on Figure 1 It can be seen that for high-quality oil layers (well A oil layer, well B oil layer, well C oil layer, well N oil layer, and well D oil-water oil layer), the normalized quartz content of most high-quality oil layers is less than 30%, while the normalized quartz content of non-high-quality oil layers is basically not less than 30%, and the normalized clay mineral content is irregular, making it difficult to distinguish between high-quality oil layers and non-high-quality oil layers.

[0044] Similarly, the quartz-feldspar cross-plot was drawn with the normalized quartz content as the ordinate and the normalized feldspar content as the abscissa (see Figure 2 ),Depend on Figure 2It can be seen that for high-quality oil layers (well A oil layer, well B oil layer, well C oil layer, well N oil layer, and well D oil-water oil layer), the normalized quartz content of most high-quality oil layers is less than 30%, and the normalized feldspar content is greater than 45%; the normalized quartz content of non-high-quality oil layers is basically greater than 30%, and the normalized feldspar content is basically not greater than 45%.

[0045] Similarly, the feldspar-clay mineral cross-plot was drawn with the normalized feldspar content as the ordinate and the normalized clay mineral content as the abscissa (see Figure 3 ),Depend on Figure 3 It can be seen that for high-quality oil layers (well A oil layer, well B oil layer, well C oil layer, well N oil layer, and well D oil-water oil layer), the normalized feldspar content of most high-quality oil layers is greater than 45%; the normalized feldspar content of non-high-quality oil layers is basically not greater than 45%, and the normalized clay mineral content is irregular, making it difficult to distinguish between high-quality oil layers and non-high-quality oil layers.

[0046] As a result, a high-quality oil layer lithology identification standard applicable to rock formations containing carbonate or tuff and with centimeter-level interbedded lithology changes was established, as described in Example 5.

[0047] Example 5: As an optimization of the above example, for rock formations containing carbonate or tuff and with interbedded lithology changes at the centimeter level, the lithology identification criteria for high-quality oil layers are: normalized quartz content is less than 30%, and normalized feldspar content is greater than 45%.

[0048] Example 6: A device for applying the high-quality oil layer lithology identification method based on the normalization method described in the above embodiment, comprising: The first module obtains the mineral content of rock samples from multiple well sections tested in the area; The second module normalizes the mineral content of the rock samples of the tested oil well sections to obtain normalized mineral content of the rock samples of the tested oil well sections; The third module intersects the normalized mineral contents of the rock samples of the tested well sections in pairs to construct a cross-plot, and combines the oil test interpretation results of the tested well sections to identify the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot; The fourth module establishes the lithologic identification criteria for high-quality oil layers based on the mineral types and normalized mineral content that can classify high-quality oil layers; The fifth module obtains the mineral content of rock samples of unknown oil layer lithology in the same area, and normalizes the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The sixth module compares the normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

[0049] Example 7: As an optimization of the above-mentioned Example 6, in the first module, the mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

[0050] Example 8: As an optimization of the above-mentioned Example 6, the second module includes a normalization processing unit, Normalization processing unit: The mineral content normalization processing formula is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content, %; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

[0051] Example 9: As an optimization of Example 6, in the third module, the normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct an intersection diagram, specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

[0052] Example 10: As an optimization of Example 6 above, in the fourth module, for rock formations containing carbonates or tuffaceous rocks with interbedded lithologies at the centimeter level, the lithology identification criteria for high-quality oil layers are: a normalized quartz content of less than 30% and a normalized feldspar content of greater than 45%. The rock formations in Well A in Case 1 and Well O in Case 2 both contain carbonates or tuffaceous rocks with interbedded lithologies at the centimeter level.

[0053] Case 1: Well A The well section from 3290.00m to 3294.00m, with a thickness of 4.00m, was interpreted as an oil layer by mud logging. Volume fracturing was used to test the well, with a daily oil production of 25.87m 3 , the conclusion is that it is an oil layer (see Figure 4 ).

[0054] The lithology of the on-site logging is dark gray fluorescent dolomitic mudstone, and the fluorescent wet light is light yellow. The oil-bearing cuttings account for 2% of the cuttings and 2% of the same type of cuttings. The spray light is light yellow, the drip light is light yellow ring, the soaking liquid is colorless, and the fluorescence is milky white. The series comparison is 7 levels, and the oil-bearing level is fluorescent level. The normalized quartz content of this well section is 24%, and the normalized feldspar content is 46%. Compared with the high-quality oil layer lithology identification standard, the oil layer lithology of this well section is high-quality oil layer ( Figure 2 ), which is consistent with the mud logging interpretation results.

[0055] Case 2: Well O Well section 970.7m to 1000.5m, apparent thickness 29.8m, mud logging interpretation (see Figure 5 ) is the dry layer.

[0056] The lithology is dark gray fluorescent lime mudstone, gray mudstone, dolomitic mudstone, tuffaceous mudstone, and fluorescent wet illumination is yellow to dark yellow. Oil-bearing rock fragments account for 3% to 5% of the rock fragments and 5% to 10% of similar rock fragments. The drop illumination is light yellow to yellow ring, the soaking liquid is colorless to light yellow, and the fluorescence is light milky white to milky white. The series comparison is level 7 to level 8, the oil-bearing grade is fluorescent grade, the normalized quartz content is 39.0% to 42.6%, and the normalized feldspar content is 45.8% to 48.1%. Compared with the high-quality oil layer lithology identification standard, the oil layer lithology of this well section is non-high-quality oil layer ( Figure 2 ), which is consistent with the mud logging interpretation results.

[0057] The present invention normalizes the rock mineral content by using a normalization method and establishes a lithology identification standard for high-quality oil layers. This standard can be used to quickly screen high-quality oil layers. Field application case results have shown that the screening results of high-quality oil layers by the present invention are consistent with the results of well logging or oil testing.

[0058] The above technical features respectively constitute the embodiments of the present invention, which have strong adaptability and implementation effect. Non-essential technical features can be added or removed according to actual needs to meet the requirements of different situations.

Claims

1. A method for identifying high-quality oil layer lithology based on normalization method, characterized in that: include: Obtain mineral content of rock samples from multiple well sections tested in the area; Normalizing the mineral contents of the rock samples from the oil-tested well sections to obtain normalized mineral contents of the rock samples from the oil-tested well sections; The normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct a cross-plot, and the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot are identified in combination with the oil test interpretation results of the tested well sections; Based on the mineral types and normalized mineral content that can classify high-quality oil layers, establish the lithologic identification standard for high-quality oil layers; Obtaining the mineral content of rock samples of unknown oil layer lithology sections in the same area, and normalizing the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section is compared with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

2. The method for identifying high-quality oil layer lithology based on normalization method according to claim 1, characterized in that: The mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

3. The high-quality oil layer lithology identification method based on normalization method according to claim 2 is characterized in that: The formula for normalizing the mineral content is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content, %; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

4. The method for identifying high-quality oil layer lithology based on normalization method according to claim 2 or 3, characterized in that: The normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct an intersection diagram, specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

5. The method for identifying high-quality oil layer lithology based on normalization method according to claim 4 is characterized in that: For rock formations containing carbonate or tuff and with interbedded lithology changes at the centimeter level, the lithology identification criteria for high-quality oil layers are: normalized quartz content is less than 30%, and normalized feldspar content is greater than 45%.

6. A device using the method for identifying high-quality oil layer lithology based on normalization method according to any one of claims 1 to 5, characterized in that: include: The first module obtains the mineral content of rock samples from multiple well sections tested in the area; The second module normalizes the mineral content of the rock samples of the tested oil well sections to obtain normalized mineral content of the rock samples of the tested oil well sections; The third module intersects the normalized mineral contents of the rock samples of the tested well sections in pairs to construct a cross-plot, and combines the oil test interpretation results of the tested well sections to identify the mineral types and normalized mineral contents that can be used to classify high-quality oil layers in the cross-plot; The fourth module establishes the lithologic identification criteria for high-quality oil layers based on the mineral types and normalized mineral content that can classify high-quality oil layers; The fifth module obtains the mineral content of rock samples of unknown oil layer lithology in the same area, and normalizes the mineral content of the mineral types that can be classified as high-quality oil layers according to the mineral types that can be classified as high-quality oil layers; The sixth module compares the normalized mineral content corresponding to the rock sample of the unknown oil layer lithology well section with the high-quality oil layer lithology identification standard to identify the oil layer lithology of the rock sample of the unknown oil layer lithology well section.

7. The device according to claim 6, characterized in that In the first module, the mineral content includes clay mineral content, quartz content and feldspar content, and the feldspar content includes plagioclase content and potassium feldspar content.

8. The device according to claim 7, characterized in that The second module includes a normalization processing unit, Normalization processing unit: The mineral content normalization processing formula is as follows: In the formula: Qtz is the analytical value of quartz content, %; Pl is the analytical value of feldspar content, %; Clay is the analytical value of clay mineral content, %; Qtz% is the normalized quartz content, %; Pl% is the normalized feldspar content, %; and Clay% is the normalized clay mineral content.

9. The device according to claim 7 or 8, characterized in that In the third module, the normalized mineral contents of the rock samples of the tested well sections are intersected in pairs to construct an intersection diagram. Specifically: The normalized clay mineral content, the normalized quartz content, and the normalized feldspar content of the rock samples of the tested well section are intersected in pairs to construct an intersection diagram.

10. The device according to claim 9, characterized in that In the fourth module, for rock formations containing carbonate or tuff and with interbedded lithology changes at the centimeter level, the lithology identification criteria for high-quality oil layers are: the normalized quartz content is less than 30%, and the normalized feldspar content is greater than 45%.

Images