Remaining oil saturation calculation method and device, electronic equipment and storage medium

By conducting oil content testing and correlation analysis on the reservoir core, a residual oil saturation calculation model was established, which solved the problems of complex and inaccurate calculations in the prior art, and achieved simple and accurate residual oil saturation calculation.

CN120108575AActive Publication Date: 2025-06-06SANYA MARINE OIL & GAS RESEARCH INSTITUTE NORTHEAST PETROLEUM UNIVERSITY

Patent Information

Application Number
CN202510569989.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-06-06
Estimated Expiration
2045-04-30

AI Technical Summary

Technical Problem

The prior art is difficult to accurately calculate the residual oil saturation in the reservoir, and the numerical simulation is complex and requires professional and technical personnel to set the parameters.

Method used

By conducting oil content testing on the target core, macroscopic and microscopic oil saturation data are obtained, correlation analysis is performed, residual oil saturation calculation model is established, macroscopic residual oil saturation of the rock to be tested, and its residual oil saturation is determined.

Benefits of technology

The calculation process of residual oil saturation is simplified, the calculation accuracy is improved, and it can be applied to different types of rocks, providing scientific basis for oil field development.

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Abstract

The invention provides a remaining oil saturation calculation method and device, electronic equipment and a storage medium, and relates to the technical field of oil reservoir development, the method comprises the following steps: carrying out oil content test on a target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; performing correlation analysis based on the macroscopic oil saturation data and the microscopic oil saturation data, and determining a remaining oil saturation calculation model; calculating the macroscopic residual oil saturation of the rock to be measured based on the residual oil saturation calculation model; and based on the macroscopic oil saturation data and the macroscopic residual oil saturation, determining the residual oil saturation of the rock to be measured. According to the invention, the calculation process of the remaining oil saturation can be simplified, and the remaining oil saturation can be accurately calculated.
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Description

Technical Field

[0001] The present application relates to the technical field of oil reservoir development, and in particular to a method, device, electronic device and storage medium for calculating residual oil saturation. Background Art

[0002] At present, reservoir development mainly focuses on the macroscopic formation causes and distribution patterns of remaining oil, but its limitation is that it can only stay at the qualitative analysis stage and cannot accurately quantify the remaining oil saturation. Numerical simulation can simulate the recoverable potential of remaining oil, but numerical simulation is relatively complex and requires technicians with reservoir development to set simulation parameters, resulting in the current difficulty in calculating the remaining oil saturation and the inability to accurately calculate the remaining oil saturation. Summary of the invention

[0003] Embodiments of the present application provide a method, device, electronic device, and storage medium for calculating residual oil saturation to solve one or more problems existing in the related art.

[0004] According to a first aspect of the present application, a method for calculating residual oil saturation is provided, comprising: performing an oil content test on a target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; performing a correlation analysis based on the macroscopic oil saturation data and the microscopic oil saturation data to determine a residual oil saturation calculation model; calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; and determining the residual oil saturation of the rock to be tested based on the macroscopic oil saturation data and the macroscopic residual oil saturation.

[0005] According to one embodiment of the present application, the oil content test on the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core includes: performing an oil saturation test on the target core to obtain macroscopic oil saturation data at each core depth in the target core; performing liquid nitrogen cryosectioning on the target core to obtain sliced ​​cores; and performing laser confocal detection on the sliced ​​cores to obtain the microscopic oil saturation data at each core depth in the target core.

[0006] According to one embodiment of the present application, the macro oil saturation data includes at least macro residual oil saturation and water saturation; the micro oil saturation data includes at least free residual oil content, bound residual oil content and semi-bound residual oil content.

[0007] According to one embodiment of the present application, the correlation analysis based on the macro oil saturation data and the micro oil saturation data is performed to determine the residual oil saturation calculation model, including: establishing a correlation relationship between the macro residual oil saturation and the free state residual oil content at each core depth in the target core; performing regression analysis based on the correlation relationship to determine the corresponding linear regression equation; based on the linear regression equation, determining the corresponding correlation coefficient; based on the linear regression equation and the correlation coefficient, determining the residual oil saturation calculation model.

[0008] According to one embodiment of the present application, the macroscopic residual oil saturation of the rock to be tested is calculated based on the residual oil saturation calculation model, including: when the free-state residual oil content in the microscopic oil saturation data is zero, the macroscopic residual oil saturation of the rock to be tested is calculated based on the residual oil saturation calculation model.

[0009] According to one embodiment of the present application, the residual oil saturation of the rock to be tested is determined based on the macro oil saturation data and the macro residual oil saturation, including: subtracting the macro oil saturation data of different core depths of the rock to be tested from the corresponding calculated macro residual oil saturation to obtain the residual oil saturation at different core depths in the rock to be tested.

[0010] According to one embodiment of the present application, the macro oil saturation data characterizes the macro oil saturation in the target core; the micro oil saturation data characterizes the relative content of micro residual oil in the target core; and the residual oil saturation calculation models corresponding to different types of rocks to be tested are different.

[0011] According to a third aspect of the present application, a residual oil saturation calculation device is provided, comprising: a testing module, used to perform an oil content test on a target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; an analysis module, used to perform a correlation analysis based on the macroscopic oil saturation data and the microscopic oil saturation data to determine a residual oil saturation calculation model; a calculation module, used to calculate the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; and a determination module, used to determine the residual oil saturation of the rock to be tested based on the macroscopic oil saturation data and the macroscopic residual oil saturation.

[0012] According to a third aspect of the present application, an electronic device is provided, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the present application.

[0013] According to a fourth aspect of the present application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the present application.

[0014] The method of the embodiment of the present application tests the oil content of the target core to obtain the macro oil saturation data and micro oil saturation data of the target core; performs correlation analysis based on the macro oil saturation data and micro oil saturation data to determine the residual oil saturation calculation model; calculates the macro residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; determines the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation. In this way, the calculation process of the residual oil saturation can be simplified, and the residual oil saturation can be accurately calculated.

[0015] It should be understood that the teachings of the present application are not required to achieve all of the beneficial effects described above, but specific technical solutions can achieve specific technical effects, and other embodiments of the present application can also achieve beneficial effects not mentioned above. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become readily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, wherein: In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0017] Figure 1 The following is a schematic diagram showing the processing flow of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 1 ; Figure 2 The following is a schematic diagram showing the processing flow of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 2 ; Figure 3 The following is a schematic diagram showing the processing flow of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 3 ; Figure 4 The following shows the application scenario of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 1 ; Figure 5 The following shows the application scenario of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 2 ; Figure 6 The following shows the application scenario of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 3 ; Figure 7 An optional schematic diagram of a residual oil saturation calculation device provided in an embodiment of the present application is shown; Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] In order to make the purpose, features, and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0019] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0020] In the following description, the terms "first\second" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0022] The processing flow of the residual oil saturation calculation method provided in the embodiment of the present application is described. Figure 1 , Figure 1 The following is a schematic diagram of the processing flow of the residual oil saturation calculation method provided in the embodiment of the present application. Figure 1 , will combine Figure 1 Steps S101-S104 are shown for explanation.

[0023] Step S101, performing oil content testing on a target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core.

[0024] In some embodiments, the macro oil saturation data may include: the overall content data of oil in the core obtained by laboratory testing. The macro oil saturation data may reflect the macro distribution of oil in the core. The micro oil saturation data may include: the distribution state and content data of oil in microscopic pores in the core obtained by microscopic observation. The micro oil saturation data may reflect the occurrence of oil in microscopic pores.

[0025] Step S102, performing correlation analysis based on the macro oil saturation data and the micro oil saturation data to determine a remaining oil saturation calculation model.

[0026] In some embodiments, correlation analysis can be used to evaluate the strength of the linear relationship between two variables. The residual oil saturation calculation model can include: a mathematical model established based on macroscopic and microscopic oil saturation data. The residual oil saturation calculation model can be used to calculate macroscopic residual oil saturation.

[0027] Step S103, based on the residual oil saturation calculation model, calculate the macroscopic residual oil saturation of the rock to be tested.

[0028] Step S104, determining the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation.

[0029] In some embodiments, the rock to be tested may include: rocks at various depths that have not been subjected to microscopic residual oil testing and analysis. The macroscopic residual oil saturation may include: the oil saturation of the unrecoverable residual oil in the rock to be tested. Specifically, the macroscopic residual oil saturation when the free state residual oil content of the rock to be tested is 0. The residual oil saturation may include: the residual oil content in the rock to be tested. The residual oil saturation may be specifically obtained by subtracting the macroscopic residual oil saturation from the macroscopic oil saturation.

[0030] The method of the embodiment of the present application significantly simplifies the calculation process of the remaining oil saturation and improves the accuracy of the calculation by combining macro and micro oil saturation data. Specifically, by collecting the macro oil saturation data and micro oil saturation data of the target core, the reservoir characteristics in the core are fully reflected. The macro data provides the overall oil content, while the micro data reveals the specific occurrence state of the oil in the microscopic pores. Through correlation analysis and regression analysis, a quantitative relationship between the macro residual oil saturation and the micro residual oil content is established, which avoids complex numerical simulation and geological modeling and simplifies the calculation process. By determining the linear regression equation and the correlation coefficient, the fitting degree and predictive ability of the calculation model are ensured. It can be applied to different types of rocks. By establishing different residual oil saturation calculation models, customized calculations can be performed for different lithofacies, and it has a wide range of applicability. Ultimately, by accurately calculating the remaining oil saturation, a scientific basis is provided for oilfield development, the potential of movable remaining oil in high water-cut reservoirs is identified, and the movable remaining oil saturation of the tested rocks of different lithofacies is quantitatively calculated by combining macro and micro methods. This method is efficient, fast and simple, and the calculation method conforms to objective geological laws, making it easy to promote and apply.

[0031] In some embodiments, the processing flow of the residual oil saturation calculation method is shown as follows: Figure 2 ,like Figure 2 As shown, the oil content test of the target core in step S101 to obtain the macroscopic oil saturation data and microscopic oil saturation data of the target core may include: Step S201, performing oil saturation test on the target core to obtain macro oil saturation data at each core depth in the target core.

[0032] Step S202, performing liquid nitrogen cryosectioning on the target core to obtain sliced ​​cores.

[0033] Step S203, performing laser confocal detection on the sliced ​​core to obtain microscopic oil saturation data at each core depth in the target core.

[0034] In this embodiment, a closed coring well was finely observed in the west block of Gudong District 7 of Shengli Oilfield. According to the sedimentary grain size and sedimentary structural combination of sandstone, sandstone is subdivided into medium-fine sandstone phase and silt-fine sandstone phase. From these subdivided lithofacies, representative target cores are collected to ensure that the samples can accurately reflect the characteristics of different lithofacies. The collected target cores are tested for oil saturation by distillation extraction. The specific operation is: using a solvent (such as toluene) to heat and distill the target core to separate oil and water. By calculating the mass difference between oil and water, the macroscopic oil saturation in the target core is obtained, and the macroscopic oil saturation data can characterize the macroscopic oil saturation in the target core.

[0035] The same target core was frozen with liquid nitrogen and sliced ​​after rapid freezing. Liquid nitrogen frozen slices can preserve the microstructure of the core. Ultraviolet fluorescence microscopy was used to identify the target core after frozen slices to identify the type and state of the remaining oil. The fluorescence signal was used to distinguish the free, bound and semi-bound remaining oil. A laser with a wavelength of 488nm was selected as the excitation light source, and the frozen slices of the sample were laser scanned in three dimensions using a laser confocal microscope. The fluorescence signals generated by the rock, remaining oil and water in the sliced ​​core were collected separately according to different wavelength ranges. The fluorescence signal was reconstructed by computer, and the content of different types of remaining oil was quantitatively calculated by analyzing the size, shape, type and area of ​​the image to obtain the microscopic oil saturation data. The microscopic oil saturation data can characterize the relative content of microscopic remaining oil in the target core.

[0036] In some embodiments, macro oil saturation data may include macro residual oil saturation and water saturation. Micro oil saturation data may include free residual oil content, bound residual oil content, and semi-bound residual oil content. The residual oil occurrence states may include: free, bound, and semi-bound residual oil, wherein free residual oil is movable residual oil located in intergranular pores and far from the mineral surface due to the fact that the driving fluid has not swept through; bound residual oil is residual oil adsorbed on the mineral surface under the influence of interfacial forces; semi-bound residual oil is residual oil formed in the outer layer of the bound state or far from the mineral surface due to insufficient displacement power of the driving fluid. It can be seen from laser confocal detection that the occurrence states of the residual oil in the target core in the microscopic pores are mainly free and bound.

[0037] In some embodiments, the processing flow of the residual oil saturation calculation method is shown as follows: Figure 3 ,like Figure 3 As shown, the correlation analysis based on the macro oil saturation data and the micro oil saturation data in step S102 is performed to determine the remaining oil saturation calculation model, which may specifically include: Step S301, establishing a correlation between the macroscopic remaining oil saturation and the free remaining oil content at each core depth in the target core.

[0038] Step S302: Perform regression analysis based on the correlation relationship to determine the corresponding linear regression equation.

[0039] Step S303: determine the corresponding correlation coefficient based on the linear regression equation.

[0040] Step S304: determining a residual oil saturation calculation model based on the linear regression equation and the correlation coefficient.

[0041] In this embodiment, the correlation coefficient may include: a statistic that measures the strength of the linear relationship between two variables, and the closer the correlation coefficient is to 1, the stronger the correlation is. The residual oil saturation calculation model may include: a mathematical model established based on the relationship between the macroscopic residual oil saturation and the free state residual oil content, which is used to calculate the residual oil saturation of the rock to be tested.

[0042] As an example, the macroscopic remaining oil saturation and free remaining oil content at each core depth in the target core of the siltstone phase are obtained. Use Excel to create an intersection diagram of these data, and establish the correlation between the macroscopic remaining oil saturation and free remaining oil content of the target core of the siltstone phase. Through regression analysis, there is a strong linear positive correlation between the macroscopic remaining oil saturation and free remaining oil content of the siltstone phase, and the corresponding linear regression equation is determined to be y=0.379x+21.827. The y-axis is the macroscopic remaining oil saturation, and the x-axis is the free remaining oil content. Based on the linear regression equation, the corresponding correlation coefficient R is determined. 2 =0.9083. Based on the linear regression equation and correlation coefficient, the residual oil saturation calculation model of fine sandstone facies was determined.

[0043] As an example, the macroscopic remaining oil saturation and free remaining oil content at each core depth in the target core of the medium-fine sandstone phase are obtained. Use Excel to create an intersection diagram of these data, and establish the correlation between the macroscopic remaining oil saturation and the free remaining oil content of the target core of the medium-fine sandstone phase. Through regression analysis, there is a strong linear positive correlation between the macroscopic remaining oil saturation and the free remaining oil content of the medium-fine sandstone phase, and the corresponding linear regression equation is determined to be y=0.7154x+16.73. The y-axis is the macroscopic remaining oil saturation, and the x-axis is the free remaining oil content. Based on the linear regression equation, the corresponding correlation coefficient R is determined. 2 =0.3655. Based on the linear regression equation and correlation coefficient, the remaining oil saturation calculation model of the medium-fine sandstone facies was determined.

[0044] In some embodiments, the remaining oil saturation calculation models corresponding to different types of rocks to be tested are different.

[0045] In some embodiments, calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model in step S103 may include: calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model when the free state residual oil content in the microscopic oil saturation data is zero.

[0046] As an example, in the residual oil saturation calculation model of medium-fine sandstone phase, when the free residual oil content is 0, the macroscopic residual oil saturation is 16.73%. After making a trade-off on the macroscopic residual oil saturation, the corresponding macroscopic residual oil saturation is determined to be 17%. In the residual oil saturation calculation model of fine sandstone phase, when the free residual oil content is 0, the macroscopic residual oil saturation is 21.827%. After making a trade-off on the macroscopic residual oil saturation, the corresponding macroscopic residual oil saturation is determined to be 22%.

[0047] In some embodiments, step S104 determines the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation, including: subtracting the macro oil saturation data of different core depths of the rock to be tested from the corresponding calculated macro residual oil saturation to obtain the residual oil saturation at different core depths in the rock to be tested.

[0048] As an example, the movable residual oil saturation S is calculated by the following formula (1): P .

[0049] S P =S O -S RO (1) Among them, S P is the movable remaining oil saturation of the rock to be tested, S O is the macroscopic remaining oil saturation of the rock to be tested, S RO is the macroscopic residual oil saturation of the rock to be tested. The units of movable residual oil saturation, macroscopic residual oil saturation and macroscopic residual oil saturation are all %.

[0050] The calculated movable remaining oil saturation of the tested rocks of different lithological phases is shown in Table 1 below.

[0051] Table 1

[0052] refer to Figure 4 , Application scenario of the residual oil saturation calculation method provided in the embodiment of the present application Figure 1 , which is applied to the quantitative calculation of movable remaining oil potential by combining macro and micro analysis.

[0053] Step S1, collecting core samples of different sandstone facies in a closed coring well. Specifically, the sandstone facies are subdivided according to the sandstone sedimentary grain size and sedimentary structure combination, and core samples of different facies are collected.

[0054] Step S2, conduct oil saturation, microscopic residual oil occurrence state and quantitative analysis test. Specifically, each core sample is sent to the laboratory for oil saturation test and analysis, and the same core sample is also frozen and sliced ​​with liquid nitrogen, and the type and state of residual oil occurrence are observed with an ultraviolet fluorescence microscope, and then laser confocal detection is performed to quantitatively analyze the content of different types of residual oil.

[0055] Step S3, analyzing the state, distribution, formation and quantity of microscopic residual oil. Free, bound and semi-bound residual oil are identified, and the distribution and formation of each type of microscopic residual oil are analyzed according to the state of occurrence of each type of microscopic residual oil, and the content of each type of microscopic residual oil is determined in combination with the laser confocal detection results.

[0056] Step S4, establish the correlation between the macroscopic remaining oil saturation of different lithofacies and the microscopic remaining oil content of different occurrence states. Specifically, analyze the correlation between the macroscopic remaining oil saturation of core samples of different lithofacies and the microscopic remaining oil content of different occurrence states, use Excel to establish an intersection chart, regress the correlation formula between the macroscopic remaining oil saturation and the microscopic remaining oil content, and perform correlation analysis to obtain a movable remaining oil potential calculation model.

[0057] Step S5, calculate the macroscopic residual oil saturation. Specifically, based on the movable residual oil potential calculation model, the macroscopic residual oil saturation is calculated when the microscopic residual oil content of the movable state of the rock to be tested is 0, which is used as the macroscopic residual oil saturation of the rock to be tested, that is, the oil saturation of the unrecoverable residual oil of the rock to be tested.

[0058] Step S6, calculating the movable remaining oil potential of different lithofacies. Specifically, the macroscopic residual oil saturation of the rock to be tested of different lithofacies is subtracted from the macroscopic residual oil saturation of the rock to be tested of different lithofacies to obtain the movable remaining oil saturation of the rock to be tested of different lithofacies, and the movable remaining oil saturation of the rock to be tested of various lithofacies is summarized to obtain the movable remaining oil potential of different lithofacies.

[0059] refer to Figure 5 , Application scenario of the residual oil saturation calculation method provided in the embodiment of the present application Figure 2 , a residual oil saturation calculation model applied to fine sandstone phase. There is a linear relationship between the macroscopic residual oil saturation and the free residual oil content in the fine sandstone phase. The horizontal axis represents the free residual oil content (%) in the microscopic oil saturation data, and the vertical axis represents the residual oil saturation (%) in the macroscopic oil saturation data. The dots in the figure represent the macroscopic oil saturation data and microscopic oil saturation data at each core depth, and the dotted line is the trend line obtained by regression analysis fitting. The linear regression equation is: y =0.379 x +21.827, of whichy is the residual oil saturation, x is the free residual oil content. Correlation coefficient R 2 The value is 0.9083, indicating that there is a positive correlation between the free remaining oil content and the remaining oil saturation. The figure shows that the macroscopic residual oil saturation of the fine sandstone phase is 22%.

[0060] refer to Figure 6 , Application scenario of the residual oil saturation calculation method provided in the embodiment of the present application Figure 3 , a calculation model for residual oil saturation applied to medium-fine sandstone phase. A calculation model for residual oil saturation applied to medium-fine sandstone phase. There is a linear relationship between the macroscopic residual oil saturation and the free residual oil content in the medium-fine sandstone phase. The horizontal axis represents the free residual oil content (%) in the microscopic oil saturation data, and the vertical axis represents the residual oil saturation (%) in the macroscopic oil saturation data. The dots in the figure represent the macroscopic oil saturation data and microscopic oil saturation data at each core depth, and the dotted line is the trend line obtained by regression analysis fitting. The linear regression equation is y=0.7154x+16.73, where y is the residual oil saturation and x is the free residual oil content. Correlation coefficient R 2 is 0.3655, indicating that there is a positive correlation between the free remaining oil content and the residual oil saturation. The figure shows that the macroscopic residual oil saturation of the medium-fine sandstone phase is 17%.

[0061] Next, the exemplary structure of the software modules included in the residual oil saturation calculation device 90 provided in the embodiment of the present application is further described. In some embodiments, for example, Figure 7 As shown, the remaining oil saturation calculation device 90 may include: Testing module 901, used to test the oil content of the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; An analysis module 902 is used to perform correlation analysis based on the macro oil saturation data and the micro oil saturation data to determine a remaining oil saturation calculation model; A calculation module 903 is used to calculate the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; The determination module 904 is used to determine the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation.

[0062] In some embodiments, the test module 901 is used to: perform oil saturation testing on the target core to obtain macroscopic oil saturation data at each core depth in the target core; perform liquid nitrogen cryosectioning on the target core to obtain sliced ​​cores; perform laser confocal detection on the sliced ​​cores to obtain microscopic oil saturation data at each core depth in the target core.

[0063] In some embodiments, the macro oil saturation data includes at least macro residual oil saturation and water saturation; the micro oil saturation data includes at least free residual oil content, bound residual oil content and semi-bound residual oil content.

[0064] In some embodiments, the analysis module 902 is used to: establish a correlation between the macroscopic remaining oil saturation and the free remaining oil content at each core depth in the target core; perform regression analysis based on the correlation to determine the corresponding linear regression equation; determine the corresponding correlation coefficient based on the linear regression equation; determine the remaining oil saturation calculation model based on the linear regression equation and the correlation coefficient.

[0065] In some embodiments, the calculation module 903 is used to calculate the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model when the free state residual oil content in the microscopic oil saturation data is zero.

[0066] In some embodiments, the determination module 904 is used to: subtract the macro oil saturation data of different core depths of the rock to be tested from the corresponding calculated macro residual oil saturation to obtain the residual oil saturation at different core depths in the rock to be tested.

[0067] In some embodiments, the macro oil saturation data characterizes the macro oil saturation in the target core; the micro oil saturation data characterizes the relative content of micro residual oil in the target core; and the residual oil saturation calculation models corresponding to different types of rocks to be tested are different.

[0068] It should be noted that the description of the device in the embodiment of the present application is similar to the description of the method embodiment described above, and has similar beneficial effects as the method embodiment, so it will not be repeated. Figures 1 to 6 The present invention can be understood by referring to the description of any one of the accompanying drawings.

[0069] According to an embodiment of the present application, the present application also provides an electronic device and a non-transitory computer-readable storage medium.

[0070] Figure 8A schematic block diagram of an example electronic device 800 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0071] like Figure 8 As shown, the electronic device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 to a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0072] Multiple components in the electronic device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the electronic device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0073] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as the remaining oil saturation calculation method. For example, in some embodiments, the remaining oil saturation calculation method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the remaining oil saturation calculation method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the remaining oil saturation calculation method in any other appropriate manner (e.g., by means of firmware).

[0074] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0075] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0076] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0077] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0078] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0079] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0080] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0081] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for calculating residual oil saturation, characterized in that: include: Performing oil content testing on the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; The oil content test on the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core includes: performing an oil saturation test on the target core to obtain macroscopic oil saturation data at each core depth in the target core; performing liquid nitrogen cryosectioning on the target core to obtain sliced ​​cores; performing laser confocal detection on the sliced ​​core to obtain the microscopic oil saturation data at each core depth in the target core; Based on the macro oil saturation data and the micro oil saturation data, correlation analysis is performed to determine the residual oil saturation calculation model; the correlation analysis is used to determine the linear relationship strength between the macro oil saturation data and the micro oil saturation data; Calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; Based on the macro oil saturation data and the macro residual oil saturation, the residual oil saturation of the rock to be tested is determined.

2. The method according to claim 1, characterized in that The macro oil saturation data at least includes macro residual oil saturation and water saturation; The microscopic oil saturation data at least include free remaining oil content, bound remaining oil content and semi-bound remaining oil content.

3. The method according to claim 2, characterized in that The method of performing correlation analysis based on macro oil saturation data and micro oil saturation data to determine the remaining oil saturation calculation model includes: Establishing a correlation between the macroscopic remaining oil saturation and the free remaining oil content at each core depth in the target core; Perform regression analysis based on the correlation to determine a corresponding linear regression equation; Based on the linear regression equation, determining a corresponding correlation coefficient; Based on the linear regression equation and the correlation coefficient, the remaining oil saturation calculation model is determined.

4. The method according to claim 2, characterized in that: The method of calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model includes: When the free-state residual oil content in the microscopic oil saturation data is zero, the macroscopic residual oil saturation of the rock to be tested is calculated based on the residual oil saturation calculation model.

5. The method according to claim 1, characterized in that The determining the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation comprises: The residual oil saturation at different core depths in the rock to be tested is obtained by subtracting the macro oil saturation data at different core depths in the rock to be tested from the corresponding calculated macro residual oil saturation.

6. The method according to claim 1, characterized in that The macro oil saturation data represents the macro oil saturation in the target core; The microscopic oil saturation data represents the relative content of microscopic remaining oil in the target core; The remaining oil saturation calculation models corresponding to different types of rocks to be tested are different.

7. A residual oil saturation calculation device, characterized in that: include: A testing module is used to test the oil content of the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core; The oil content test on the target core to obtain macroscopic oil saturation data and microscopic oil saturation data of the target core includes: performing an oil saturation test on the target core to obtain macroscopic oil saturation data at each core depth in the target core; performing liquid nitrogen cryosectioning on the target core to obtain sliced ​​cores; performing laser confocal detection on the sliced ​​core to obtain the microscopic oil saturation data at each core depth in the target core; An analysis module, used for performing correlation analysis based on macro oil saturation data and micro oil saturation data to determine a residual oil saturation calculation model; the correlation analysis is used to determine the linear relationship strength between the macro oil saturation data and the micro oil saturation data; A calculation module, used for calculating the macroscopic residual oil saturation of the rock to be tested based on the residual oil saturation calculation model; A determination module is used to determine the residual oil saturation of the rock to be tested based on the macro oil saturation data and the macro residual oil saturation.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to make a computer execute the method according to any one of claims 1-6.

Citation Information

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