A reservoir permeability determination method, system, electronic device and storage medium

Abstract

This application discloses a method, system, electronic device, and storage medium for determining reservoir permeability, belonging to the technical field of oil and gas exploration and development technology. The method for determining reservoir permeability includes: obtaining nuclear magnetic resonance (NMR) data of the target object. 2 Spectroscopy, and the nuclear magnetic resonance T 2 The spectrum is divided into multiple T 2 Spectral section; Determine the T 2 The multifractal parameters and interval porosity of the spectral part are determined, and the product of the multifractal parameters and the interval porosity is set as the modeling parameters; based on all the T... 2 A reservoir permeability evaluation model is established using the modeling parameters corresponding to the spectral data. This model is then used to determine the reservoir permeability of the tested object. This application improves the accuracy of reservoir permeability determination.

Description

A method, system, electronic device and storage medium for determining reservoir permeability Technical Field

[0001] This application relates to the field of oil and gas exploration and development technology, and in particular to a method, system, electronic device and storage medium for determining reservoir permeability. Background Technology

[0002] Nuclear magnetic resonance (NMR) logging technology is widely used for evaluating reservoir rock physical parameters, and using multifractal methods to process NMR T2 spectra is one of the methods for evaluating reservoir permeability. However, the multifractal parameters of NMR T2 spectra are only related to the amplitude of the T2 spectrum and are unrelated to the lateral relaxation time data of the T2 spectrum. Therefore, using multifractal parameters alone cannot accurately evaluate reservoir permeability. For example, two symmetrical T2 spectra may have identical multifractal parameters, but the corresponding reservoir pore structures are different, and their permeabilities are also different.

[0003] Therefore, improving the accuracy of reservoir permeability determination is a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, electronic device, and storage medium for determining reservoir permeability, which can improve the accuracy of determining reservoir permeability.

[0005] To address the aforementioned technical problems, this application provides a method for determining reservoir permeability, comprising:

[0006] The nuclear magnetic resonance T2 spectrum of the object under test is obtained, and the nuclear magnetic resonance T2 spectrum is divided into multiple T2 spectrum sub-parts;

[0007] Determine the multifractal parameters and interval porosity of the T2 spectrum portion, and set the product of the multifractal parameters and the interval porosity as the modeling parameters;

[0008] A reservoir permeability evaluation model is established based on the modeling parameters corresponding to all the T2 spectrum components, and the reservoir permeability of the tested object is determined using the reservoir permeability evaluation model.

[0009] Optionally, before dividing the nuclear magnetic resonance T2 spectrum into multiple T2 spectral sub-parts, the method further includes:

[0010] The nuclear magnetic resonance T2 spectrum was interpolated.

[0011] Accordingly, the nuclear magnetic resonance T2 spectrum is divided into multiple T2 spectral sub-parts, including:

[0012] The interpolated nuclear magnetic resonance T2 spectrum is divided into multiple T2 spectrum sub-parts.

[0013] Optionally, the nuclear magnetic resonance T2 spectrum is interpolated, including:

[0014] Determine the number of spots n in the nuclear magnetic resonance T2 spectrum;

[0015] Interpolation was performed on the T2 NMR spectrum under preset constraints to obtain a spectrogram with 2 data points. k The nuclear magnetic resonance T2 spectrum; wherein the preset constraint condition is 2. k-1 ≤n≤2 k .

[0016] Optionally, the nuclear magnetic resonance T2 spectrum is divided into multiple T2 spectral sub-parts, including:

[0017] The target partitioning scheme for the nuclear magnetic resonance T2 spectrum is determined according to the Akaike information correction criterion; wherein, the target partitioning scheme includes window length and sliding step size;

[0018] The nuclear magnetic resonance T2 spectrum is divided into multiple T2 spectrum sub-parts according to the target division scheme using a sliding window.

[0019] Optionally, a reservoir permeability evaluation model is established based on the modeling parameters corresponding to all the T2 spectral components, including:

[0020] A reservoir permeability evaluation model is established by performing linear regression analysis based on the modeling parameters corresponding to all the T2 spectrum components.

[0021] Optionally, determining the multifractal parameters of the T2 spectral portion includes:

[0022] Determine the fractal dimension at which the partial moment of each T2 spectrum is maximized;

[0023] Determine the fractal dimension when the partial moment of each T2 spectrum is minimized;

[0024] Calculate the difference between the fractal dimension when the moment of each T2 spectrum is minimized and the fractal dimension when the moment is maximized;

[0025] Determine the singularity index at which the partial moment of each T2 spectrum is maximized;

[0026] Determine the singular value exponent when the partial moment of each T2 spectrum is minimized;

[0027] Calculate the difference between the singular value index when the partial moment of each T2 spectrum is at its minimum and the singular value index when the partial moment is at its maximum;

[0028] Determine the information dimension and correlation dimension of each of the T2 spectral components.

[0029] Optionally, acquiring the nuclear magnetic resonance T2 spectrum of the object under test includes:

[0030] Nuclear magnetic resonance (NMR) measurements are performed on strata or core samples, and the NMR T2 spectrum of the measured object is obtained by inverting the NMR measurement results.

[0031] This application also provides a reservoir permeability determination system, the system comprising:

[0032] The segmentation module is used to acquire the nuclear magnetic resonance T2 spectrum of the tested object and divide the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts;

[0033] The parameter determination module is used to determine the multifractal parameters and interval porosity of the T2 spectrum portion, and set the product of the multifractal parameters and the interval porosity as the modeling parameters;

[0034] The modeling module is used to establish a reservoir permeability evaluation model based on the modeling parameters corresponding to all the T2 spectrum components.

[0035] The permeability determination module is used to determine the reservoir permeability of the object under test using the reservoir permeability evaluation model.

[0036] This application also provides a storage medium storing a computer program thereon, which, when executed, implements the steps of the above-described method for determining reservoir permeability.

[0037] This application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor, when calling the computer program in the memory, implements the steps of the above-described method for determining reservoir permeability.

[0038] This application provides a method for determining reservoir permeability, comprising: acquiring the nuclear magnetic resonance T2 spectrum of the object under test, and dividing the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts; determining the multifractal parameters and interval porosity of the T2 spectrum sub-parts, and setting the product of the multifractal parameters and the interval porosity as a modeling parameter; establishing a reservoir permeability evaluation model based on the modeling parameters corresponding to all the T2 spectrum sub-parts, and using the reservoir permeability evaluation model to determine the reservoir permeability of the object under test.

[0039] After obtaining the nuclear magnetic resonance (NMR) T2 spectrum of the tested object, this application divides the NMR T2 spectrum into multiple T2 spectrum sub-parts, and determines the modeling parameters based on the product of the multifractal parameters and the interval porosity of each T2 spectrum sub-part. This application establishes a reservoir permeability evaluation model based on the modeling parameters of each T2 spectrum sub-part, and then uses the above-mentioned reservoir permeability evaluation model to determine the reservoir permeability of the tested object. The above scheme divides the NMR T2 spectrum into multiple sub-parts and determines the reservoir permeability based on both multifractal parameters and interval porosity; therefore, this application can improve the accuracy of reservoir permeability determination. This application also provides a reservoir permeability determination system, a storage medium, and an electronic device, which have the above-mentioned beneficial effects, and will not be elaborated further here. Attached Figure Description

[0040] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 is a flowchart of a method for determining reservoir permeability provided in an embodiment of this application;

[0042] Figure 2 is a schematic diagram of two symmetrical T2 spectra provided in an embodiment of this application;

[0043] Figure 3 is a schematic diagram of a nuclear magnetic resonance T2 spectrum obtained from a core nuclear magnetic resonance experiment according to an embodiment of this application;

[0044] Figure 4 is a schematic diagram of an optimal T2 spectrum partitioning provided in an embodiment of this application;

[0045] Figure 5 is a schematic diagram showing the correlation between T2 spectrum partial modeling parameters (the multifractal parameter used in the modeling parameters is D2) and permeability provided in an embodiment of this application.

[0046] Figure 6 shows the actual application effect of a traditional penetration rate determination method provided in the embodiment of this application;

[0047] Figure 7 shows the actual application effect of the window-multifractal method for determining permeability provided in the embodiments of this application;

[0048] Figure 8 is a schematic diagram of a reservoir permeability determination system provided in an embodiment of this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0050] Please refer to Figure 1 below. Figure 1 is a flowchart of a method for determining reservoir permeability provided in an embodiment of this application.

[0051] Specific steps may include:

[0052] S101: Obtain the nuclear magnetic resonance T2 spectrum of the object under test, and divide the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts;

[0053] This embodiment can be applied to electronic devices with nuclear magnetic resonance (NMR) data processing capabilities. The object under test can be a rock core or a stratum. Before this step, NMR measurements can be performed on the stratum or rock core, and the NMR T2 spectrum of the object under test can be obtained by inverting the NMR measurement results. The NMR T2 spectrum can characterize the pore size distribution of the object under test.

[0054] After obtaining the nuclear magnetic resonance T2 spectrum, this embodiment can divide the above nuclear magnetic resonance T2 spectrum into multiple sub-parts, namely, T2 spectrum sub-parts. As a feasible implementation method, this embodiment can use a sliding window to divide the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts.

[0055] S102: Determine the multifractal parameters and interval porosity of the T2 spectrum portion, and set the product of the multifractal parameters and the interval porosity as the modeling parameters;

[0056] In this embodiment, after obtaining the T2 spectrum portion, the multifractal parameters and interval porosity of each T2 spectrum portion can be determined. The multifractal parameters may include: the fractal dimension at maximum moment, the fractal dimension at minimum moment, the difference between the fractal dimension at minimum moment and the fractal dimension at maximum moment, the singular value index at maximum moment, the singular value index at minimum moment, the difference between the singular value index at minimum moment and the singular value index at maximum moment, the information dimension, and the correlation dimension.

[0057] In this embodiment, the product of the multifractal parameters and the interval porosity corresponding to the same T2 spectrum part can be set as the modeling parameters, that is, each T2 spectrum part has its corresponding modeling parameters.

[0058] S103: Establish a reservoir permeability evaluation model based on the modeling parameters corresponding to all the T2 spectrum components, and use the reservoir permeability evaluation model to determine the reservoir permeability of the tested object.

[0059] In this embodiment, after obtaining the modeling parameters corresponding to each T2 spectrum segment, a modeling operation can be performed based on the modeling parameters corresponding to all T2 spectrum segments to obtain a reservoir permeability evaluation model. This model can then be used to determine the reservoir permeability of the tested object. As a feasible implementation method, this embodiment can perform linear regression analysis based on the modeling parameters corresponding to all T2 spectrum segments to establish a reservoir permeability evaluation model.

[0060] This embodiment, after acquiring the NMR T2 spectrum of the object under test, divides the NMR T2 spectrum into multiple T2 spectrum sub-parts, and determines the modeling parameters based on the product of the multifractal parameters and the interval porosity of each T2 spectrum sub-part. This embodiment establishes a reservoir permeability evaluation model based on the modeling parameters of each T2 spectrum sub-part, and then uses the above reservoir permeability evaluation model to determine the reservoir permeability of the object under test. The above scheme divides the NMR T2 spectrum into multiple sub-parts and determines the reservoir permeability based on multifractal parameters and interval porosity. This embodiment overcomes the limitation of the multifractal method in not utilizing the relaxation time information of the T2 spectrum; therefore, this embodiment can improve the accuracy of determining reservoir permeability.

[0061] As a further description of the embodiment corresponding to Figure 1, before dividing the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts, the nuclear magnetic resonance T2 spectrum can also be interpolated so that the interpolated nuclear magnetic resonance T2 spectrum can be divided into multiple T2 spectrum sub-parts.

[0062] Furthermore, this example can perform interpolation processing based on preset constraints. The specific process is as follows: determine the number of points n in the NMR T2 spectrum; perform interpolation processing on the NMR T2 spectrum under preset constraints to obtain a point count of 2. k The nuclear magnetic resonance T2 spectrum; wherein the preset constraint condition is 2. k-1 ≤n≤2 k .

[0063] As a further description of the embodiment corresponding to Figure 1, the NMR T2 spectrum can be divided in the following way: A target division scheme for the NMR T2 spectrum is determined according to the corrected Akaike information criterion; wherein the target division scheme includes a window length and a sliding step size; the NMR T2 spectrum is divided into multiple T2 spectrum sub-parts using a sliding window according to the target division scheme. The aforementioned corrected Akaike information criterion is also known as AICc, or the corrected Akaike information criterion.

[0064] As a feasible implementation method, the multifractal parameters of the T2 spectrum portion can be determined by: determining the fractal dimension when the moment of each T2 spectrum portion is at its maximum; determining the fractal dimension when the moment of each T2 spectrum portion is at its minimum; calculating the difference between the fractal dimension when the moment of each T2 spectrum portion is at its minimum and the fractal dimension when the moment of each T2 spectrum portion is at its maximum; determining the singular value index when the moment of each T2 spectrum portion is at its maximum; determining the singular value index when the moment of each T2 spectrum portion is at its minimum; calculating the difference between the singular value index when the moment of each T2 spectrum portion is at its minimum and the singular value index when the moment of each T2 spectrum portion is at its maximum; and determining the information dimension and correlation dimension of each T2 spectrum portion.

[0065] The process described in the above embodiments is illustrated below through a multifractal-based reservoir permeability evaluation scheme in a practical application.

[0066] This embodiment provides a reservoir permeability evaluation scheme based on the multifractal method. It is implemented based on the "window-multifractal" method. This scheme uses a sliding window to divide the T2 spectrum into several parts, namely T2 spectrum sub-parts, and obtains the multifractal parameters of each T2 spectrum sub-part and the porosity of this part. A reservoir permeability evaluation model is established using linear regression.

[0067] Specifically, in this embodiment, a sliding window can be used to divide the NMR T2 spectrum into several parts. To facilitate the calculation of multifractal parameters, the T2 spectrum is interpolated, and the number of points in the interpolated T2 spectrum is set to 2. k For each k, the condition that k needs to satisfy is: 2 k-1 ≤Number of original T2 spectral points≤2 k .

[0068] The optimal partitioning scheme for the T2 NMR spectrum was determined using the Corrected Akaike Information Criterion (AICc). The formula for calculating AICc is as follows:

[0069]

[0070] In the above formula, N is the number of samples (i.e., the number of NMR T2 spectra), RSS is the sum of squared residuals between the predicted and measured permeability, and M is the number of parameters involved in the linear regression (i.e., the number of T2 sub-segments of the NMR T2 spectrum). The partitioning scheme corresponding to the minimum AICc is the optimal scheme.

[0071] The multifractal parameters mentioned above include, but are not limited to, the following parameter: the fractal dimension D when the order moment q is maximized. max The fractal dimension D when the first moment q is minimized. min D min With D maxThe singular value exponent α at which the difference ΔD and the moment q are maximized max The singular value exponent α when the moment q is minimized min α min With α max The difference Δα, information dimension D1, and correlation dimension D2.

[0072] In this embodiment, the multifractal parameter of each T2 spectrum segment multiplied by the interval porosity of that segment can be used as a parameter to establish a reservoir permeability evaluation model using linear regression. The specific form of the model is as follows:

[0073] log(K)=f(A_parameter_W1, A_parameter_W2...A_parameter_Wn);

[0074] In the above formula, K represents permeability, and A_parameter_Wn represents the product of the multifractal parameter of the nth T2 spectrum part and the interval porosity of the same T2 spectrum part.

[0075] Compared with traditional reservoir permeability evaluation methods based on multifractal parameters, which cannot utilize T2 spectrum relaxation time information, this embodiment broadens the applicability of reservoir permeability evaluation schemes based on multifractal parameters.

[0076] Please refer to Figure 2, which is a schematic diagram of two symmetrical T2 spectra provided in an embodiment of this application. The horizontal axis represents T2 in milliseconds (ms), and the vertical axis represents the interval porosity. Using a multifractal method to process these two T2 spectra, the resulting multifractal parameters are completely identical, but the reservoir pore structures and permeabilities they represent are different. The T2 spectrum corresponding to A represents a reservoir with predominantly small pores, while the T2 spectrum corresponding to B represents a reservoir with predominantly large pores. Generally, reservoirs with predominantly large pores have better physical properties and higher permeability.

[0077] Please refer to Figure 3. Figure 3 is a schematic diagram of the nuclear magnetic resonance (NMR) T2 spectrum obtained from a core NMR experiment according to an embodiment of this application. The horizontal axis represents T2, with units of milliseconds (ms); the vertical axis represents the interval porosity. A total of 55 sets of NMR T2 spectra were obtained through the core NMR experiment. The lithology of these cores is dense sandstone. The T2 spectrum in the figure has 100 points, which was interpolated to 128 points.

[0078] Please refer to Table 1. Based on Table 1, the window length and step size of the sliding window can be determined. R in the table... 2 The coefficient of determination represents the correlation between predicted and measured reservoir permeability. According to Table 1, the minimum AICc is -182.53, and the NMR T2 spectrum division scheme is: window length 64, sliding step size 16.

[0079] Table 1. Results of the Analysis of Corrected Akaike Information Criteria

[0080]

[0081] The numbers in the table represent the coefficient of determination R for the corresponding cases. 2 Compared to AICc, when the step size is 64 and the window size is 16, the reservoir permeability evaluation scheme based on the correlation dimension D2 is optimal, and AICc is minimized. The R-value between the calculated permeability and the measured permeability is... 2 =0.90.

[0082] Please refer to Figure 4, which is a schematic diagram of an optimal division of the T2 spectrum provided in an embodiment of this application. The horizontal axis represents T2, with the unit being milliseconds (ms); the vertical axis represents the interval porosity. Figure 4 includes the results of five T2 spectrum portions obtained from the division of the same nuclear magnetic resonance T2 spectrum. From the upper left to the lower right, these represent the T2 spectrum shapes within the first to fifth windows.

[0083] Figure 5 is a schematic diagram illustrating the correlation between T2 spectrum partial modeling parameters (the multifractal parameter used in the modeling parameters is D2) and permeability provided in an embodiment of this application. A_D2_W1-A_D2_W2 are negatively correlated with the measured permeability, while A_D2_W3-A_D2_W5 are positively correlated with the measured permeability. R 2 The coefficients of determination are represented, such as 0.74, 0.77, 0.41, 0.60, and 0.71. A_D2_W1 represents the product of the correlation dimension D2 of the first T2 spectral component and the interval porosity; A_D2_W2 represents the product of the correlation dimension D2 of the second T2 spectral component and the interval porosity; A_D2_W3 represents the product of the correlation dimension D2 of the third T2 spectral component and the interval porosity; A_D2_W4 represents the product of the correlation dimension D2 of the fourth T2 spectral component and the interval porosity; and A_D2_W5 represents the product of the correlation dimension D2 of the fifth T2 spectral component and the interval porosity.

[0084] Please refer to Figure 6. Figure 6 is a practical application effect diagram of a traditional permeability determination method provided by the embodiment of this application. The vertical axis is the measured permeability of the core (unit, millidarcy mD), and the horizontal axis is the correlation dimension D2. The figure shows the relationship between D2 and the measured permeability of the core. 2 =0.16, and it can be seen from the figure that the application effect of the traditional method is poor.

[0085] Please refer to Figure 7. Figure 7 shows the actual application effect of the window-multifractal method for determining permeability provided in the embodiments of this application. The figure shows the R value between the calculation result of the "window-multifractal" method and the measured permeability of the core. 2=0.90. The horizontal axis in the figure represents the permeability (mD) calculated by the "window-multifractal" method, and the vertical axis represents the measured permeability (mD) of the core. It can be seen from the figure that the "window-multifractal" method is significantly better than the traditional method in processing actual data.

[0086] Please refer to Figure 8, which is a schematic diagram of a reservoir permeability determination system provided in an embodiment of this application;

[0087] The system may include:

[0088] The segmentation module 801 is used to acquire the nuclear magnetic resonance T2 spectrum of the tested object and divide the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts;

[0089] The parameter determination module 802 is used to determine the multifractal parameters and interval porosity of the T2 spectrum portion, and set the product of the multifractal parameters and the interval porosity as the modeling parameters;

[0090] Modeling module 803 is used to establish a reservoir permeability evaluation model based on the modeling parameters corresponding to all the T2 spectrum portions;

[0091] The permeability determination module 804 is used to determine the reservoir permeability of the object under test using the reservoir permeability evaluation model.

[0092] In this embodiment, after acquiring the NMR T2 spectrum of the object under test, the NMR T2 spectrum is divided into multiple T2 spectrum sub-parts. Modeling parameters are determined based on the product of the multifractal parameters and the interval porosity of each T2 spectrum sub-part. This embodiment establishes a reservoir permeability evaluation model based on the modeling parameters of each T2 spectrum sub-part, and then uses this model to determine the reservoir permeability of the object under test. The above scheme divides the NMR T2 spectrum into multiple sub-parts and determines the reservoir permeability based on both multifractal parameters and interval porosity; therefore, this embodiment can improve the accuracy of reservoir permeability determination.

[0093] Furthermore, it also includes:

[0094] An interpolation module is used to perform interpolation processing on the nuclear magnetic resonance T2 spectrum before dividing the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts;

[0095] Accordingly, the process by which the division module 801 divides the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts includes: dividing the interpolated nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts.

[0096] Furthermore, the process of interpolating the nuclear magnetic resonance T2 spectrum by the segmentation module 801 includes: determining the number of points n of the nuclear magnetic resonance T2 spectrum; and interpolating the nuclear magnetic resonance T2 spectrum under preset constraints to obtain a point count of 2. k The nuclear magnetic resonance T2 spectrum; wherein the preset constraint condition is 2. k-1 ≤n≤2 k .

[0097] Furthermore, the process by which the partitioning module 801 divides the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts includes: determining the target partitioning scheme of the nuclear magnetic resonance T2 spectrum according to the Akaike Information Correction Criterion; wherein, the target partitioning scheme includes a window length and a sliding step size; and using the sliding window to divide the nuclear magnetic resonance T2 spectrum into multiple T2 spectrum sub-parts according to the target partitioning scheme.

[0098] Furthermore, the process by which the permeability determination module 804 establishes a reservoir permeability evaluation model based on the modeling parameters corresponding to all the T2 spectrum components includes: performing linear regression analysis based on the modeling parameters corresponding to all the T2 spectrum components to establish a reservoir permeability evaluation model.

[0099] Furthermore, the process by which the parameter determination module 802 determines the multifractal parameters of the T2 spectrum portion includes: determining the fractal dimension when the moment of each T2 spectrum portion is at its maximum; determining the fractal dimension when the moment of each T2 spectrum portion is at its minimum; calculating the difference between the fractal dimension when the moment of each T2 spectrum portion is at its minimum and the fractal dimension when the moment of each T2 spectrum portion is at its maximum; determining the singular value index when the moment of each T2 spectrum portion is at its maximum; determining the singular value index when the moment of each T2 spectrum portion is at its minimum; calculating the difference between the singular value index when the moment of each T2 spectrum portion is at its minimum and the singular value index when the moment of each T2 spectrum portion is at its maximum; and determining the information dimension and correlation dimension of each T2 spectrum portion.

[0100] Furthermore, the process of obtaining the nuclear magnetic resonance T2 spectrum of the object under test by the partitioning module 801 includes: performing nuclear magnetic resonance measurements on the strata or core, and inverting the nuclear magnetic resonance measurement results to obtain the nuclear magnetic resonance T2 spectrum of the object under test.

[0101] Since the embodiments of the system part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the system part, and they will not be repeated here.

[0102] This application also provides a storage medium on which a computer program is stored, which, when executed, can perform the steps provided in the above embodiments. The storage medium may include various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0103] This application also provides an electronic device that may include a memory and a processor. The memory stores a computer program, and when the processor calls the computer program in the memory, it can implement the steps provided in the above embodiments. Of course, the electronic device may also include various network interfaces, power supplies, and other components.

[0104] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0105] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for determining reservoir permeability, characterized in that, include: Obtain the nuclear magnetic resonance image of the object under test Spectroscopy, and the nuclear magnetic resonance The spectrum is divided into multiple The spectral section; determining the aforementioned The multifractal parameters and interval porosity of the spectral part are determined, and the product of the multifractal parameters and the interval porosity is set as the modeling parameters; based on all the... A reservoir permeability evaluation model is established using the modeling parameters corresponding to the spectral part, and the reservoir permeability of the tested object is determined using the reservoir permeability evaluation model; wherein, the nuclear magnetic resonance... The spectrum is divided into multiple The spectral section includes: determining the nuclear magnetic resonance (NMR) according to the Akaike information correction criterion. A target partitioning scheme for the spectrum; wherein the target partitioning scheme includes a window length and a sliding step size; the nuclear magnetic resonance image is partitioned according to the target partitioning scheme using a sliding window. The spectrum is divided into multiple The sheet music.

2. The method for determining reservoir permeability according to claim 1, characterized in that, In the nuclear magnetic resonance The spectrum is divided into multiple Before the spectral section, it also includes: nuclear magnetic resonance... The spectrum is interpolated; correspondingly, the nuclear magnetic resonance... The spectrum is divided into multiple The spectral section includes: interpolated nuclear magnetic resonance (NMR) data. The spectrum is divided into multiple The sheet music.

3. The method for determining reservoir permeability according to claim 2, characterized in that, For the nuclear magnetic resonance The spectrum is interpolated, including: determining the nuclear magnetic resonance (NMR) spectrum. The number of spectra, n; nuclear magnetic resonance under preset constraints. The spectrum is interpolated to obtain the number of distribution points. nuclear magnetic resonance Spectrum; wherein, the preset constraint condition is 。 4. The method for determining reservoir permeability according to claim 1, characterized in that, According to all the statements The reservoir permeability evaluation model is established based on the modeling parameters corresponding to the spectral part, including: according to all the above... Linear regression analysis was performed on the modeling parameters corresponding to the spectrum to establish a reservoir permeability evaluation model.

5. The method for determining reservoir permeability according to claim 1, characterized in that, Determine the The multifractal parameters of the spectral part include: determining each of the following. The fractal dimension at which the partial moment of the spectrum is maximized; determine each of the above. The fractal dimension when the partial moment of the spectrum is minimized; calculate each of the above. The difference between the fractal dimension when the order moment of the spectrum is minimized and the fractal dimension when the order moment is maximized; determine each The singular value exponent at which the partial moment of the spectrum is maximized; determine each of the above. The singular value exponent is minimized when the partial moment of the spectrum is minimized; calculate each of the above. The difference between the singular value exponent when the partial moment of the spectrum is at its minimum and the singular value exponent when the partial moment is at its maximum; determine each of the above. Information dimension and correlation dimension of the spectrum.

6. The method for determining reservoir permeability according to claim 1, characterized in that, The acquisition of nuclear magnetic resonance of the object under test The spectrum includes: performing nuclear magnetic resonance (NMR) measurements on strata or cores, and inverting the NMR measurement results to obtain the NMR of the object under test. Spectrum.

7. A reservoir permeability determination system, characterized in that, include: The segmentation module is used to acquire the nuclear magnetic resonance (NMR) data of the object under test. Spectroscopy, and the nuclear magnetic resonance The spectrum is divided into multiple The spectrum section; the parameter determination module, used to determine the... The multifractal parameters and interval porosity of the spectrum are determined, and the product of the multifractal parameters and the interval porosity is set as the modeling parameters. Modeling module, used to model according to all the described The modeling parameters corresponding to the spectrum are used to establish a reservoir permeability evaluation model; The permeability determination module is used to determine the reservoir permeability of the tested object using the reservoir permeability evaluation model; the segmentation module divides the nuclear magnetic resonance... The spectrum is divided into multiple The process for the spectral part includes: determining the nuclear magnetic resonance according to the Akaike information correction criterion. A target partitioning scheme for the spectrum; wherein the target partitioning scheme includes a window length and a sliding step size; the nuclear magnetic resonance image is partitioned according to the target partitioning scheme using a sliding window. The spectrum is divided into multiple The sheet music.

8. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor, when calling the computer program in the memory, implements the steps of the reservoir permeability determination method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores computer-executable instructions, which, when loaded and executed by a processor, implement the steps of the reservoir permeability determination method as described in any one of claims 1 to 6.

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