Content testing system for carbonate reservoir cement

Abstract

The invention discloses a carbonate reservoir cement content testing system, which relates to the technical field of geological exploration, and comprises a sample collection module, a preprocessing module, an analysis module, a data processing module and an interaction module, the sample collection module comprises rock core drilling equipment, and is used for collecting rock core samples of the carbonate reservoir from different depths and positions and ensuring the integrity and representativeness of the samples; the preprocessing module is used for processing the collected rock core sample, including cutting, grinding and cleaning operations, and performing subsequent analysis. Compared with a traditional testing method, the testing system has higher testing precision, the content of various cement in the carbonate reservoir can be accurately measured, errors are reduced, the testing period is shortened, the testing efficiency is high, the system has good adaptability, carbonate reservoir samples of different types can be processed, and the testing accuracy is high. And an accurate test result can be obtained no matter a compact rock or a loose rock.

Description

Technical Field

[0001] The invention relates to the technical field of geological exploration, and in particular to a carbonate reservoir cement content testing system. Background Art

[0002] In the process of oil exploration and development, accurate determination of the cement content in carbonate reservoirs is crucial for evaluating reservoir quality and predicting oil and gas production. At present, traditional methods for testing cement content in carbonate reservoirs have many limitations. The core slice observation method used in the early days mainly relies on manual analysis of core slices under a microscope. By observing the distribution of cement and rock particles, the cement content is subjectively estimated. This method is not only inefficient, but also the experience differences between different operators will lead to large deviations in the results, making it difficult to ensure the accuracy and reliability of the data. At the same time, due to the limited observation range, it is impossible to fully reflect the distribution characteristics of cement in the entire reservoir. Now, chemical analysis, acid Dissolution method uses specific chemical reagents to dissolve some components in carbonate rocks, and then analyzes the dissolved solution to determine the cement content. However, this method is easily interfered by other impurities in the rock during operation, resulting in inaccurate test results. Moreover, the use of chemical reagents will not only pollute the environment, but also may bring safety risks due to improper operation. As oil and gas exploration and development move towards deep and complex reservoirs, higher requirements are placed on the test accuracy, efficiency and comprehensiveness of the cement content in carbonate reservoirs. The existing test methods can no longer meet the needs of efficient and accurate evaluation of reservoir characteristics. In this regard, we propose a carbonate reservoir cement content test system. Summary of the invention

[0003] In order to solve the above technical problems, a carbonate reservoir cement content testing system is provided. This technical solution solves the above-mentioned problems of low testing efficiency and inaccuracy.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is: a carbonate reservoir cement content testing system, including: a sample collection module, a preprocessing module, an analysis module, a data processing module and an interaction module; The sample collection module includes core drilling equipment to collect core samples of carbonate reservoirs from different depths and locations, and ensure the integrity and representativeness of the samples; The pre-processing module is used to process the collected core samples, including cutting, grinding, and cleaning operations, for subsequent analysis; The analysis module irradiates the pre-treated samples with X-rays, and determines the type and content of cement according to the diffraction characteristics of different minerals to X-rays; based on the scanning electron microscope, the microstructure and distribution of cement are observed, and quantitative analysis is performed by comparison with the standard spectrum to determine the proportion data of cement; The data processing module receives the data obtained by the analysis module, performs comprehensive calculation and processing on the data, and obtains the cement content result; The interactive module outputs the final results in the form of charts and reports for users to view.

[0005] Preferably, the core drilling equipment includes a drill rod and a drill bit. The drill rod is made of high-strength alloy steel with a strength of 800MPa, an outer diameter of 50mm, and an inner diameter of 40mm. The drill bit is a carbide insert drill bit, including 3 cutting edges with a cutting edge angle of 120°. The drill rod and the drill bit are connected by threads. During the drilling process, a cooling channel is provided in the drill rod, and the diameter of the cooling channel is 10mm.

[0006] Preferably, the pretreatment module processing step is to cut the collected core samples by a cutting machine, put the cut core samples and grinding balls into a grinding tank at a mass ratio of 1:2, and rotate the motor to grind at a speed of 300rpm for 30min. The core samples are ground to a particle size between 10μm and 50μm, and the ground samples are soaked in a 10% ethanol solution at 30°C for 15min, rinsed with 5% deionized water at 25°C for 10min, and placed in an external environment for drying.

[0007] Preferably, the analysis module irradiates the pretreated sample based on X-rays, and the X-ray source is a high-power copper target. When the X-ray beam is irradiated onto the sample, different mineral crystal structures in the sample produce diffraction, and the diffracted X-rays will be received by the detector, and the X-ray signal will be converted into an electrical signal, and the electrical signal transmission will be digitized and processed. The collected data is processed based on Bragg's law, and for each diffraction peak received, the corresponding crystal plane spacing is calculated based on its diffraction angle, and the type of mineral that produces the diffraction peak is determined by comparing it with the crystal plane spacing database of standard minerals, and the relative content Cxrd of different minerals is calculated by integrating and normalizing the intensities of different diffraction peaks.

[0008] Preferably, where Bragg's law is: , the calculation formula of the crystal spacing d can be derived as: , Where n is the diffraction order, which is generally 1. is the wavelength of the X-rays, is the diffraction angle; Suppose that multiple diffraction peaks are measured, each diffraction peak corresponds to a mineral, and the intensity of the i-th diffraction peak is I i For a certain diffraction peak, its intensity integral is I ji , obtained by integrating the diffraction peak area, the calculation formula is: , Among them I A with I A+1 Adjacent angle The diffraction peak intensity measured at , M is the number of measurement points, the relative content of different minerals is calculated, and the intensity integral of all diffraction peaks is normalized. The normalization formula is: , Where Ig is the sum of the integrals of all diffraction peak intensities, then the relative content of the i-th mineral B i It is expressed as: , The intensity integral uses the numerical integration method to calculate the peak area of ​​the diffraction peak. The normalization process is to divide the intensity integral of each diffraction peak by the total intensity integral to obtain the relative content of the mineral as Cxrd, which is expressed as a percentage of the relative proportion of different minerals in the sample.

[0009] Preferably, the analysis module places the processed carbonate rock sample under an electron microscope for irradiation. When the electron beam bombards the cementing material on the surface of the sample, secondary electrons and backscattered electron signals are emitted. When acquiring an image, the detector converts the collected secondary electrons and backscattered electron signals into electrical signals, transmits them to the image acquisition unit, and compares them with the standard atlas for quantitative analysis. The acquired cementing material image is compared with the standard atlas library of cementing materials with different components, the cementing material features in the image are extracted, and the extracted features are matched and compared with the data in the standard atlas to preliminarily determine the type of cementing material. The grayscale values ​​of different areas in the image are quantitatively analyzed, and the pixel ratio of each cementing material in the entire image area is calculated in combination with the pixel distribution of the image. The pixel ratio is converted into an actual volume and mass ratio to obtain the precise ratio of cementing materials in the carbonate reservoir.

[0010] Preferably, the data processing module performs data fusion based on the weighted average method, assigns weights to the mineral content data obtained by each method, and performs calculations. After the calculations, the uncertainty of the results is evaluated. The error range of the fused mineral content is calculated using the error propagation formula by calculating the uncertainty of the weights and the measurement errors of the X-ray diffraction and scanning electron microscope data themselves, and the content value of the cementing material is obtained by comprehensive calculation.

[0011] Preferably, the weighted average is calculated as: E=w 1 *Cxrd+w 2 *Csem Where E is the cement content value obtained by comprehensive analysis, w 1 With w 2are the corresponding weight values ​​respectively, Cxrd is the type of cementing material determined by X-ray diffraction, and Csem is the cementing material ratio data value obtained by scanning electron microscopy.

[0012] Prior to this, the interactive module will present the results in a diversified manner, with chart drawing algorithms and color matching. Based on the characteristics of different types of data, it will intelligently generate adaptive chart formats, generate accurate line graphs for the changing trend of cement content with depth, and present information on the proportion of different types of cement in the total in the form of pie charts.

[0013] Prioritize, the interactive module is arranged in a standardized format, and the types and content data of cementing materials are listed in the core results display, and the data are interpreted in combination with theoretical knowledge and industry standards.

[0014] Compared with the prior art, the present invention has the following beneficial effects: Compared with traditional testing methods, the testing system of the present invention has higher testing accuracy, can accurately measure the content of various cementing materials in carbonate reservoirs, reduce errors, shorten testing cycles, and has high testing efficiency. The system has good adaptability and can process different types of carbonate reservoir samples, and accurate test results can be obtained for both dense and loose rocks. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a framework diagram of the test system of the present invention. DETAILED DESCRIPTION

[0016] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0017] Reference Figure 1 As shown, a carbonate reservoir cement content testing system includes: a sample collection module, a preprocessing module, an analysis module, a data processing module and an interaction module; The sample collection module includes core drilling equipment to collect core samples of carbonate reservoirs from different depths and locations, and ensure the integrity and representativeness of the samples; The pre-processing module is used to process the collected core samples, including cutting, grinding, and cleaning operations, for subsequent analysis; The analysis module irradiates the pre-treated samples with X-rays, and determines the type and content of cement according to the diffraction characteristics of different minerals to X-rays; based on the scanning electron microscope, the microstructure and distribution of cement are observed, and quantitative analysis is performed by comparison with the standard spectrum to determine the proportion data of cement; The data processing module receives the data obtained by the analysis module, performs comprehensive calculation and processing on the data, and obtains the cement content result; The interactive module outputs the final results in the form of charts and reports for users to view.

[0018] The core drilling equipment in the sample collection module of this application can collect core samples from different depths and locations, which is particularly important for carbonate reservoirs, because the cement content and characteristics of different parts of the reservoir may be different. Through comprehensive collection, comprehensive information of the entire reservoir can be obtained to avoid one-sided conclusions caused by sampling limitations; the cutting operation of the preprocessing module cuts the collected core samples into a size suitable for subsequent analysis, which is convenient for processing in different equipment. At the same time, precise cutting can ensure the consistency of the samples and avoid analysis errors caused by differences in sample size; The analysis module uses X-rays to irradiate the pre-treated samples and determines the type and content of cement based on the diffraction characteristics of different minerals to X-rays. This method can accurately identify a variety of mineral components, and through the precise measurement and analysis of the diffraction peaks, it can achieve quantitative calculation of the cement content with high accuracy and reliability. The data processing module receives the data obtained by the analysis module and performs comprehensive calculations. It can integrate different types of data obtained from X-ray diffraction and scanning electron microscopy analysis. Through scientific algorithms and models, it can eliminate the limitations of a single analysis method and improve the accuracy of cement content calculation.

[0019] The core drilling equipment includes a drill rod and a drill bit. The drill rod is made of high-strength alloy steel with a strength of 800MPa, an outer diameter of 50mm, and an inner diameter of 40mm. The drill bit is a carbide insert drill bit, including 3 cutting edges with a cutting edge angle of 120°. The drill rod and the drill bit are connected by threads. During the drilling process, a cooling channel is provided in the drill rod with a diameter of 10mm.

[0020] The drill rod of this application is made of high-strength alloy steel with a strength of 800MPa, which can withstand huge pressure, tension and torque. When drilling in carbonate reservoirs, the rock hardness is high, and drill rods made of ordinary materials are prone to deformation and fracture. High-strength alloy steel drill rods can effectively cope with complex geological conditions, ensure that the structure remains intact during long-distance and long-term drilling, provide stable power transmission for the drill bit, reduce the risk of damage to drilling tools, reduce the number of operation interruptions, and improve drilling efficiency; The drill rod and the drill bit are connected by threads, which has high reliability and stability. The threaded connection can transmit a large torque, ensuring that the drill bit can obtain sufficient power during the drilling process to achieve efficient cutting.

[0021] The pretreatment module processing steps are as follows: the collected core samples are cut by a cutting machine, the cut core samples and grinding balls are placed in a grinding tank at a mass ratio of 1:2, the rotating motor is ground at a speed of 300 rpm, the grinding time is 30 minutes, the core samples are ground to a particle size between 10 μm and 50 μm, the ground samples are soaked in 10% ethanol solution at 30°C for 15 minutes, rinsed with 5% deionized water at 25°C for 10 minutes, and placed in the external environment for drying.

[0022] The present application uses a cutting machine to cut the collected core samples, and can process larger cores into sizes suitable for grinding jars and subsequent analytical equipment to accommodate and process. Different analytical instruments have specific requirements for the size and shape of samples. The cut samples are easier to put into the grinding jar for grinding, and in the subsequent X-ray diffraction analysis and scanning electron microscope observation, they can better meet the operating conditions of the instrument and ensure the smooth progress of the analysis process. During the grinding process, the grinding balls and samples constantly collide and roll, so that the various components in the core are more evenly mixed, which is crucial for the subsequent accurate analysis of the cement content, because uniform samples can ensure that during the analysis, any part of the sample taken can represent the overall composition characteristics, avoiding analysis errors caused by uneven distribution of components.

[0023] The analysis module irradiates the pretreated samples based on X-rays. The X-ray source is a high-power copper target. When the X-ray beam is irradiated on the sample, the different mineral crystal structures in the sample produce diffraction. The diffracted X-rays will be received by the detector, and the X-ray signal will be converted into an electrical signal. The electrical signal transmission is digitized and processed based on the Bragg law. For each diffraction peak received, the corresponding crystal plane spacing is calculated based on its diffraction angle. By comparing with the crystal plane spacing database of standard minerals, the type of mineral that produces the diffraction peak is determined. By integrating and normalizing the intensities of different diffraction peaks, the relative content Cxrd of different minerals is calculated.

[0024] The high-power copper target X-ray source of the present application can generate a high-intensity X-ray beam, which makes it possible to obtain a diffraction signal of sufficient intensity in a short time, thereby improving the analysis efficiency. When analyzing carbonate reservoir samples, since the mineral composition in the samples is complex, a strong X-ray penetration ability is required. The X-rays generated by the high-power copper target can penetrate deeply into the sample and interact with more mineral crystals, thereby generating obvious and easy-to-detect diffraction signals, which can ensure effective analysis even for some thicker samples or samples with strong X-ray absorption.

[0025] The Bragg law is: , the calculation formula of the crystal spacing d can be derived as: , Where n is the diffraction order, which is generally 1. is the wavelength of the X-rays, is the diffraction angle; Suppose that multiple diffraction peaks are measured, each diffraction peak corresponds to a mineral, and the intensity of the i-th diffraction peak is I i For a certain diffraction peak, its intensity integral is I ji , obtained by integrating the diffraction peak area, the calculation formula is: , Among them I A with I A+1 Adjacent angle The diffraction peak intensity measured at , M is the number of measurement points, the relative content of different minerals is calculated, and the intensity integral of all diffraction peaks is normalized. The normalization formula is: , Where Ig is the sum of the integrals of all diffraction peak intensities, then the relative content of the i-th mineral B i It is expressed as: , The intensity integral uses the numerical integration method to calculate the peak area of ​​the diffraction peak. The normalization process is to divide the intensity integral of each diffraction peak by the total intensity integral to obtain the relative content of the mineral as Cxrd, which is expressed as a percentage of the relative proportion of different minerals in the sample.

[0026] The crystal spacing calculation formula derived by the Bragg law in this application can accurately determine the distance between atomic planes inside mineral crystals. The crystal spacing is an important characteristic parameter of the mineral crystal structure. Different minerals have unique crystal spacing values ​​due to their different atomic arrangements. Although quartz and calcite are both common minerals, their crystal structures are significantly different. The crystal spacing accurately calculated using this formula can be used as a key basis for distinguishing the two, which helps to accurately identify mineral types and provide basic data for studying the mineral composition of carbonate reservoirs; expressing the relative proportions of different minerals in the sample in the form of percentages makes the mineral composition clear at a glance. This intuitive expression method facilitates researchers to quickly understand the relative content relationship of various minerals in the sample, which is of great significance both for analyzing the geological characteristics of carbonate reservoirs and for evaluating their potential value in the exploration and development of oil and natural gas resources.

[0027] The analysis module places the processed carbonate rock sample under an electron microscope for irradiation. When the electron beam bombards the cementing material on the surface of the sample, secondary electrons and backscattered electron signals are emitted. When acquiring an image, the detector converts the collected secondary electrons and backscattered electron signals into electrical signals, transmits them to the image acquisition unit, and compares them with the standard atlas for quantitative analysis. The acquired cementing material image is compared with the standard atlas library of cementing materials with different components, the cementing material features in the image are extracted, and the extracted features are matched and compared with the data in the standard atlas to preliminarily determine the type of cementing material. The grayscale values ​​of different areas in the image are quantitatively analyzed, and combined with the pixel distribution of the image, the pixel ratio of each cementing material in the entire image area is calculated, and the pixel ratio is converted into the actual volume and mass ratio to obtain the precise ratio of cementing materials in the carbonate reservoir.

[0028] The electron microscope in this application has extremely high resolution and can clearly present the microstructure of cement in carbonate rock samples, which allows researchers to observe the crystal morphology, particle size, arrangement of cement and details of their relationship with surrounding rock particles. By observing the crystal morphology of cement, its degree of crystallization can be determined, and then its formation environment and geological history can be inferred; The secondary electron signal is very sensitive to the morphological changes on the sample surface and can provide clear images of sample surface details. By analyzing the secondary electron image, we can understand the roughness and undulations on the cement surface and the connection mode between particles. The secondary electron and backscattered electron signals complement each other and can provide more comprehensive sample information.

[0029] The data processing module performs data fusion based on the weighted average method, assigns weights to the mineral content data obtained by each method, and performs calculations. After the calculations, the uncertainty of the results is evaluated. By calculating the uncertainty of the weights and the measurement errors of the X-ray diffraction and scanning electron microscope data themselves, the error propagation formula is used to calculate the error range of the fused mineral content, and the content value of the cement is obtained by comprehensive calculation.

[0030] The weighted average calculation formula is: E=w 1 *Cxrd+w 2 *Csem Where E is the cement content value obtained by comprehensive analysis, w 1 With w 2 are the corresponding weight values ​​respectively, Cxrd is the type of cementing material determined by X-ray diffraction, and Csem is the cementing material ratio data value obtained by scanning electron microscopy.

[0031] The single analysis method in this application may have limitations and cannot fully reflect the true situation of the cement. The data fusion through the weighted average method can make up for each other's shortcomings. XRD is difficult to accurately reflect the uneven distribution of cement at the microscopic scale, and SEM has certain errors in the precise identification of mineral types. After fusion, the data covers many aspects of information from macroscopic crystal structure to microscopic distribution, providing more comprehensive data support for accurate assessment of cement content; the error range of the mineral content after fusion is calculated using the error propagation formula, which can quantify the uncertainty in the analysis process.

[0032] The interactive module presents the results in a diversified manner, with chart drawing algorithms and color matching. Based on the characteristics of different types of data, it intelligently generates adaptive chart formats, generates accurate line graphs for the changing trend of cementing material content with depth, and presents information on the proportion of different types of cementing materials in the overall structure in the form of pie charts. The interactive module is laid out in a standardized format, and in the core result display, it lists the types and content data of cementing materials, and interprets the data in combination with theoretical knowledge and industry standards.

[0033] The present application generates a line graph for the changing trend of cement content with depth, which can convert the originally abstract data into an intuitive graph. Through the ups and downs of the line, researchers can see at a glance the changes in cement content at different depths, including rising, falling or fluctuating trends. When studying the vertical distribution characteristics of carbonate reservoirs, the line graph can clearly show whether the content of a certain cement gradually increases or decreases with increasing depth, helping to analyze the impact of changes in the sedimentary environment during the geological history period on the formation of cement. Compared with simple data listing, the line graph can convey key information more quickly and improve the efficiency of data analysis.

[0034] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention claimed.

Claims

1. A carbonate reservoir cement content testing system, characterized in that: include: Sample collection module, preprocessing module, analysis module, data processing module and interaction module; The sample collection module includes core drilling equipment to collect core samples of carbonate reservoirs from different depths and locations, and ensure the integrity and representativeness of the samples; The pre-processing module is used to process the collected core samples, including cutting, grinding, and cleaning operations, for subsequent analysis; The analysis module irradiates the pre-treated samples with X-rays, and determines the type and content of cement according to the diffraction characteristics of different minerals to X-rays; based on the scanning electron microscope, the microstructure and distribution of cement are observed, and quantitative analysis is performed by comparison with the standard spectrum to determine the proportion data of cement; The data processing module receives the data obtained by the analysis module, performs comprehensive calculation and processing on the data, and obtains the cement content result; The interactive module outputs the final results in the form of charts and reports for users to view.

2. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The core drilling equipment includes a drill rod and a drill bit. The drill rod is made of high-strength alloy steel with a strength of 800MPa, an outer diameter of 50mm, and an inner diameter of 40mm. The drill bit is a carbide insert drill bit, including 3 cutting edges with a cutting edge angle of 120°. The drill rod and the drill bit are connected by threads. During the drilling process, a cooling channel is provided in the drill rod with a diameter of 10mm.

3. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The pretreatment module processing steps are as follows: the collected core samples are cut by a cutting machine, the cut core samples and grinding balls are placed in a grinding tank at a mass ratio of 1:2, the rotating motor is ground at a speed of 300 rpm, the grinding time is 30 minutes, the core samples are ground to a particle size between 10 μm and 50 μm, the ground samples are soaked in 10% ethanol solution at 30°C for 15 minutes, rinsed with 5% deionized water at 25°C for 10 minutes, and placed in the external environment for drying.

4. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The analysis module irradiates the pretreated samples based on X-rays. The X-ray source is a high-power copper target. When the X-ray beam is irradiated on the sample, the different mineral crystal structures in the sample produce diffraction. The diffracted X-rays will be received by the detector, and the X-ray signal will be converted into an electrical signal. The electrical signal transmission is digitized and processed based on the Bragg law. For each diffraction peak received, the corresponding crystal plane spacing is calculated based on its diffraction angle. By comparing with the crystal plane spacing database of standard minerals, the type of mineral that produces the diffraction peak is determined. By integrating and normalizing the intensities of different diffraction peaks, the relative content Cxrd of different minerals is calculated.

5. A carbonate reservoir cement content testing system according to claim 4, characterized in that: The Bragg law is: , the calculation formula of the crystal spacing d can be derived as: ， Where n is the diffraction order, which is generally 1. is the wavelength of the X-rays, is the diffraction angle; Suppose that multiple diffraction peaks are measured, each diffraction peak corresponds to a mineral, and the intensity of the i-th diffraction peak is I i For a certain diffraction peak, its intensity integral is I ji , obtained by integrating the diffraction peak area, the calculation formula is: ， Among them I A with I A+1 Adjacent angle The diffraction peak intensity measured at , M is the number of measurement points, the relative content of different minerals is calculated, and the intensity integral of all diffraction peaks is normalized. The normalization formula is: ， Where Ig is the sum of the integrals of all diffraction peak intensities, then the relative content of the i-th mineral B i It is expressed as: ， The intensity integral uses the numerical integration method to calculate the peak area of ​​the diffraction peak. The normalization process is to divide the intensity integral of each diffraction peak by the total intensity integral to obtain the relative content of the mineral as Cxrd, which is expressed as a percentage of the relative proportion of different minerals in the sample.

6. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The analysis module places the processed carbonate rock sample under an electron microscope for irradiation. When the electron beam bombards the cementing material on the surface of the sample, secondary electrons and backscattered electron signals are emitted. When acquiring an image, the detector converts the collected secondary electrons and backscattered electron signals into electrical signals, transmits them to the image acquisition unit, and compares them with the standard atlas for quantitative analysis. The acquired cementing material image is compared with the standard atlas library of cementing materials with different components, the cementing material features in the image are extracted, and the extracted features are matched and compared with the data in the standard atlas to preliminarily determine the type of cementing material. The grayscale values ​​of different areas in the image are quantitatively analyzed, and combined with the pixel distribution of the image, the pixel ratio of each cementing material in the entire image area is calculated, and the pixel ratio is converted into the actual volume and mass ratio to obtain the precise ratio of cementing materials in the carbonate reservoir.

7. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The data processing module performs data fusion based on the weighted average method, assigns weights to the mineral content data obtained by each method, and performs calculations. After the calculations, the uncertainty of the results is evaluated. By calculating the uncertainty of the weights and the measurement errors of the X-ray diffraction and scanning electron microscope data themselves, the error propagation formula is used to calculate the error range of the fused mineral content, and the content value of the cement is obtained by comprehensive calculation.

8. A carbonate reservoir cement content testing system according to claim 7, characterized in that: The weighted average calculation formula is: E=w1*Cxrd+w2*Csem Where E is the cement content value obtained by comprehensive analysis, w1 and w2 are the corresponding weight values, Cxrd is the cement type determined by X-ray diffraction, and Csem is the cement ratio data value obtained by scanning electron microscopy.

9. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The interactive module presents the results in a diversified manner, with chart drawing algorithms and color matching. Based on the characteristics of different types of data, it intelligently generates adaptive chart formats, generates accurate line graphs for the changing trend of cement content with depth, and presents information on the proportion of different types of cement in the total in the form of pie charts.

10. A carbonate reservoir cement content testing system according to claim 1, characterized in that: The interactive module is arranged in a standardized format, and the types and content data of cementing materials are listed in the core results display, and the data are interpreted in combination with theoretical knowledge and industry standards.

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