Method and apparatus for petrophysical parameter sensitivity analysis

Abstract

The application discloses a rock physical parameter sensitivity analysis method and device. The method comprises the following steps: dividing parameter data of a rock physical parameter to be analyzed into first parameter data and second parameter data; calculating a first parameter value when a cumulative distribution function is a first preset value according to the first parameter data, and calculating a second parameter value when the cumulative distribution function is the first preset value according to the second parameter data; determining a rock physical parameter threshold value of the rock physical parameter to be analyzed according to the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is a numerical value for dividing the first parameter data and the second parameter data; and calculating the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value, so that the sensitivity of the rock physical parameter is quantitatively evaluated, the purpose of quantitatively analyzing the sensitivity of the rock physical parameter to lithology and fluid is achieved, and the accuracy of identifying lithology or fluid by the rock physical parameter is improved, and thus the effect of identifying reservoirs or fluid is better.

Description

Technical Field

[0001] This invention relates to the field of exploration technology, and specifically to a method and apparatus for analyzing the sensitivity of rock physical parameters. Background Technology

[0002] One of the main objectives of rock physical analysis is to analyze the sensitivity of various rock physical parameters to lithology and fluids, thereby identifying the rock physical parameters that are most sensitive to lithology and fluids. Currently, most rock physical analysis methods can only qualitatively analyze the sensitivity of rock physical parameters, making quantitative analysis difficult and hindering the selection of rock physical parameters.

[0003] The main technical means for analyzing rock physical parameters in the existing technology is to draw cross plots. The vertical and horizontal axes of the cross plot are rock physical parameters, and the color or shape of the sample points in the plot represents different lithologies or fluids. The sensitivity of rock physical parameters is judged by observing the distribution characteristics of different sample points.

[0004] While cross-plotting is visually intuitive, it has a drawback: the sample points in cross-plots often overlap, and the number of overlapping points cannot be determined by visual observation alone. Therefore, the sensitivity of rock physical parameters obtained using this method is prone to significant deviations. It cannot quantify the sensitivity of parameters, only providing a qualitative evaluation, making it difficult to accurately and objectively compare the sensitivity of different rock physical parameters. Consequently, cross-plot analysis cannot determine the accuracy of identifying lithology or fluids using target parameters, posing a potential risk to oil exploration and development. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed to provide a method and apparatus for rock physical parameter sensitivity analysis that overcomes or at least partially solves the above problems.

[0006] According to one aspect of the present invention, a method for sensitivity analysis of rock physical parameters is provided, comprising:

[0007] The physical parameters of the rock to be analyzed are divided into first parameter data and second parameter data;

[0008] Calculate the first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and calculate the second parameter value when the cumulative distribution function is a first preset value based on the second parameter data;

[0009] The rock physical parameter threshold value is determined based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data.

[0010] The sensitivity of the rock physical parameters to be analyzed is calculated based on the threshold values ​​of the rock physical parameters.

[0011] According to another aspect of the present invention, a rock physical parameter sensitivity analysis apparatus is provided, comprising:

[0012] The partitioning module is suitable for dividing the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data;

[0013] The first calculation module is adapted to calculate the first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and to calculate the second parameter value when the cumulative distribution function is a first preset value based on the second parameter data;

[0014] The determination module is adapted to determine the rock physical parameter threshold value of the rock object to be analyzed based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data;

[0015] The second calculation module is suitable for calculating the sensitivity of the rock physical parameters to be analyzed based on the rock physical parameter threshold value.

[0016] According to another aspect of the present invention, a computing device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0017] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the rock physical parameter sensitivity analysis method described above.

[0018] According to another aspect of the present invention, a computer storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the rock physical parameter sensitivity analysis method described above.

[0019] According to the solution provided by the present invention, the sensitivity of rock physical parameters can be quantitatively evaluated, thereby achieving the purpose of quantitatively analyzing the sensitivity of rock physical parameters to lithology and fluids, improving the accuracy of rock physical parameters in identifying lithology or fluids, and thus improving the effect of reservoir or fluid identification.

[0020] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0021] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0022] Figure 1A A schematic flowchart of a rock physical parameter sensitivity analysis method according to an embodiment of the present invention is shown;

[0023] Figure 1B Schematic diagram 1 showing the values ​​of the first and second parameters when the cumulative distribution function is at the first preset value;

[0024] Figure 1C This is a diagram illustrating the first and second parameter values ​​when the cumulative distribution function is at the first preset value. Figure 2 ;

[0025] Figure 2 A schematic diagram of a rock physical parameter sensitivity analysis device according to an embodiment of the present invention is shown;

[0026] Figure 3 A schematic diagram of a computing device according to an embodiment of the present invention is shown. Detailed Implementation

[0027] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0028] Figure 1A A schematic flowchart of a rock physical parameter sensitivity analysis method according to an embodiment of the present invention is shown. Figure 1A As shown, the method includes the following steps:

[0029] Step S101: Divide the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data.

[0030] Rock physical parameters are primarily used in rock physical analysis, one of the main purposes of which is to analyze the sensitivity of various rock physical parameters to lithology and fluids. In oil exploration, the rock physical parameters being analyzed are used for reservoir prediction and fluid detection; therefore, parameter data for these parameters are collected.

[0031] In this step, the physical parameters of the rock to be analyzed will be divided into two groups, for example, a first parameter data group and a second parameter data group. The first parameter data group can be related to sandstone or oil / gas reservoirs, while the second parameter data group can be related to mudstone or water-bearing layers. For ease of description, the first parameter data group will be referred to as Group A data group, and the second parameter data group as Group B data group.

[0032] The rock physical parameters to be analyzed include: P-wave velocity, S-wave velocity, P-wave impedance, S-wave impedance, and density. Of course, other rock physical parameters may also be included, but no specific limitations are made here.

[0033] In an optional embodiment of the present invention, the parameter data of the rock physical parameters to be analyzed can be divided into first parameter data and second parameter data by the following method: the parameter data of the rock physical parameters to be analyzed is divided into first parameter data and second parameter data according to the parameter interpretation data.

[0034] Specifically, parameter interpretation data is used to interpret parameter data, indicating what type of data the parameter data is. It can be understood as data labels. Each parameter data corresponds to specific parameter interpretation data, which includes rock interpretation data and fluid interpretation data. For example, parameter interpretation data can include labels for sandstone, mudstone, oil, gas, and water. It should be noted that parameter interpretation data can also be other interpretation data that can distinguish between the first and second parameter data; this is not specifically limited here.

[0035] Step S102: Calculate the first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and calculate the second parameter value when the cumulative distribution function is a first preset value based on the second parameter data.

[0036] Specifically, calculate the cumulative distribution function of the first parameter data and the second parameter data, where the cumulative distribution function is the cumulative probability that the variable X takes a value less than or equal to a certain value x, and the formula is:

[0037] F(x) = p(X≤x)

[0038] Then, calculate the first parameter value when the cumulative distribution function is equal to the first preset value based on the first parameter data, and calculate the second parameter value when the cumulative distribution function is equal to the first preset value based on the second parameter data. For example, let the first preset value be denoted as p, and calculate the value of X when the cumulative distribution function F(x) = p for the two sets of data A and B. The first preset value can be defined according to actual needs, and the value of p is between 0.5 and 1. It is generally recommended that the value of p be greater than or equal to 0.8, for example, a value of 0.8. For ease of subsequent description, let's denote the first parameter value as a and the second parameter value as b.

[0039] Figure 1B Schematic diagram 1 showing the values ​​of the first and second parameters when the cumulative distribution function is at the first preset value; Figure 1C This is a diagram illustrating the first and second parameter values ​​when the cumulative distribution function is at the first preset value. Figure 2 , Figure 1B and Figure 1C This illustrates two cases: the first parameter value and the second parameter value, when the cumulative distribution function is at the first preset value. Figure 1B and Figure 1C In the diagram, the vertical axis represents the cumulative probability, and the horizontal axis represents the parameter value. Figure 1B and Figure 1C The values ​​of a and b are shown when the cumulative probability p equals 0.8.

[0040] Step S103: Determine the rock physical parameter threshold value of the rock object to be analyzed based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data.

[0041] After calculating the first and second parameter values, the rock physical parameter threshold values ​​for the rock object to be analyzed can be determined based on these values. In the specific calculation, the first and second parameter values ​​can be compared, and the threshold value is determined based on the comparison result. The rock physical parameter threshold value is the value used to divide the first and second parameter data; that is, the rock physical parameter threshold value is the standard for dividing the two sets of data. It should be noted that the rock physical parameter threshold value is a rough division of the two sets of data. After the division, there may be cases where the first parameter data contains a small amount of second parameter data, and / or where the second parameter data contains a small amount of first parameter data. These situations will not affect the sensitivity calculation. The main purpose of calculating the rock physical parameter threshold value here is to ensure accurate subsequent sensitivity calculation.

[0042] In an optional implementation manner of the present invention, the rock physical parameter threshold value for determining the rock object parameter to be analyzed according to the first parameter value and the second parameter value can be specifically implemented by the following method: Compare the magnitudes of the first parameter value and the second parameter value. If the first parameter value is less than the second parameter value, calculate the third parameter value whose cumulative distribution function is the second preset value according to the second parameter data, and determine the third parameter value as the rock physical parameter threshold value of the rock object parameter to be analyzed;

[0043] If the first parameter value is greater than the second parameter value, determine the second parameter value as the rock physical parameter threshold value of the rock object parameter to be analyzed.

[0044] That is, compare the magnitudes of two values a and b. If a < b, the rock physical parameter threshold value T is the value of X when the cumulative distribution function F(x) of group B data is 1 - p; if a > b, the rock physical parameter threshold value T is the value of X when the cumulative distribution function F(x) of group B data is p.

[0045] Generally, sandstone, oil, and gas layers are called reservoirs, while mudstone and water layers are called non-reservoirs. a b represent the magnitude relationships of the rock physical parameter values of reservoirs and non-reservoirs. It is possible that the rock physical parameter value of the reservoir is greater than that of the non-reservoir, or it may be less than that of the non-reservoir. Here, first judge a b, mainly to determine the specific calculation method of the rock physical parameter threshold value.

[0046] Group A data can also be called target data, and group B data can also be called background data. Generally, the number of target data samples is small, and the number of background data samples is large. When calculating the rock physical parameter threshold value, using group B data for calculation can improve the calculation accuracy. Of course, it is also possible to use group A data to calculate the rock physical parameter threshold value.

[0047] Step S104, calculate the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value.

[0048] After calculating the rock physical parameter threshold value, calculate the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value. Specifically, when calculating, based on the rock physical parameter threshold value, count the number of parameter values in the first parameter data that are greater than or less than the rock physical parameter threshold value, and calculate the sensitivity of the rock physical parameter to be analyzed based on this number of parameters. The sensitivity is a value between 0 and 1, where 0 represents completely indistinguishable, 1 represents 100% distinguishable, and the larger the value, the higher the sensitivity of the rock physical parameter to lithology or fluid, and the better the effect of identifying the reservoir or fluid.

[0049] In an optional implementation manner of the present invention, calculating the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value further includes:

[0050] If the first parameter value is less than the second parameter value, count the number of first parameters in the first parameter data whose parameter values are less than the rock physical parameter threshold value, and calculate the sensitivity of the rock physical parameter to be analyzed according to the number of first parameters and the total number of parameters in the first parameter data. The sensitivity of the rock physical parameter to be analyzed can be calculated according to formula (1): Sensitivity = Number of first parameters / Total number of parameters Formula (1).

[0051] If the first parameter value is greater than the second parameter value, count the number of second parameters in the first parameter data whose parameter values are greater than the rock physical parameter threshold value, and calculate the sensitivity of the rock physical parameter to be analyzed according to the number of second parameters and the total number of parameters in the first parameter data. Among them, the sensitivity of the rock physical parameter to be analyzed can be calculated according to formula (2): Sensitivity = Number of second parameters / Total number of parameters Formula (2).

[0052] The calculation principle of sensitivity is to count the number of samples of the first parameter data that deviates from the second parameter data. Therefore, the first parameter data is used here to calculate the sensitivity.

[0053] If a < b, it means that the values of the first parameter data are generally less than the rock physical parameter threshold value. Therefore, the number of elements in the first parameter data whose parameter values are less than the rock physical parameter threshold value T is counted here to calculate the sensitivity; if a > b, it means that the values of the first parameter data are generally greater than the rock physical parameter threshold value. Therefore, the number of elements in the first parameter data whose parameter values are greater than the rock physical parameter threshold value T is counted here to calculate the sensitivity. It should be noted that for the two cases of a b, two different rock physical parameter threshold values are determined respectively above. Therefore, the corresponding rock physical parameter threshold values are also used here for sensitivity calculation.

[0054] It should be noted that if you want to determine the sensitivity of a certain rock physical parameter to lithology, then the first parameter data is data related to sandstone, and the second parameter data is data related to mudstone. The sensitivity calculated according to the above method can be used to quantitatively analyze the sensitivity of the rock physical parameter to lithology. The higher the sensitivity, the more sensitive it is to lithology; the lower the sensitivity, the less sensitive it is to lithology. Correspondingly, if you want to determine the sensitivity of a certain rock physical parameter to fluid, then the first parameter data is data related to oil and gas layers, and the second parameter data is data related to water layers. The sensitivity calculated according to the above method can be used to quantitatively analyze the sensitivity of the rock physical parameter to fluid. The higher the sensitivity, the more sensitive it is to fluid; the lower the sensitivity, the less sensitive it is to fluid.

[0055] After calculating the sensitivity of each rock physical parameter, the parameters can be ranked according to their sensitivity, thereby achieving the purpose of quantitatively analyzing the degree to which rock physical parameters distinguish lithology and fluids. This allows for the selection of appropriate rock physical parameters based on the ranking during exploration.

[0056] The solution provided by this invention enables quantitative evaluation of the sensitivity of rock physical parameters, achieving the goal of quantitatively analyzing the sensitivity of rock physical parameters to lithology and fluids, thereby improving the accuracy of rock physical parameters in identifying lithology or fluids, and thus improving the effectiveness of reservoir or fluid identification.

[0057] Figure 2 A schematic diagram of a rock physical parameter sensitivity analysis device according to an embodiment of the present invention is shown. Figure 2 As shown, the device includes: a division module 201, a first calculation module 202, a determination module 203, and a second calculation module 204.

[0058] The partitioning module 201 is suitable for partitioning the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data;

[0059] The first calculation module 202 is adapted to calculate the first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and to calculate the second parameter value when the cumulative distribution function is a first preset value based on the second parameter data;

[0060] The determination module 203 is adapted to determine the rock physical parameter threshold value of the rock object to be analyzed based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data;

[0061] The second calculation module 204 is adapted to calculate the sensitivity of the rock physical parameters to be analyzed based on the rock physical parameter threshold value.

[0062] Optionally, the determining module is further adapted to: if the first parameter value is less than the second parameter value, calculate the value of the third parameter with the cumulative distribution function as the second preset value based on the second parameter data, and determine the value of the third parameter as the rock physical parameter threshold value of the rock object parameter to be analyzed;

[0063] If the value of the first parameter is greater than the value of the second parameter, then the value of the second parameter is determined as the rock physical parameter threshold value of the rock object to be analyzed.

[0064] Optionally, the second calculation module is further adapted to: if the value of the first parameter is less than the value of the second parameter, count the number of first parameters in the first parameter data whose parameter values ​​are less than the rock physical parameter threshold value, and calculate the sensitivity of the rock physical parameter to be analyzed based on the number of first parameters and the total number of parameters in the first parameter data;

[0065] If the value of the first parameter is greater than the value of the second parameter, count the number of second parameters in the first parameter data whose value is greater than the rock physical parameter threshold value, and calculate the sensitivity of the rock physical parameter to be analyzed based on the number of second parameters and the total number of parameters in the first parameter data.

[0066] Optionally, the second calculation module is further adapted to: calculate the sensitivity of the physical parameters of the rock to be analyzed according to formula (1):

[0067] Sensitivity = Number of first parameters / Total number of parameters (Formula 1)

[0068] Optionally, the second calculation module is further adapted to: calculate the sensitivity of the physical parameters of the rock to be analyzed according to formula (2):

[0069] Sensitivity = Number of second parameters / Total number of parameters (Formula 2)

[0070] Optionally, the partitioning module is further adapted to: partition the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data based on the parameter interpretation data.

[0071] Optionally, the rock physical parameters to be analyzed include: P-wave velocity, S-wave velocity, P-wave impedance, S-wave impedance, and density.

[0072] The solution provided by this invention enables quantitative evaluation of the sensitivity of rock physical parameters, achieving the goal of quantitatively analyzing the sensitivity of rock physical parameters to lithology and fluids, thereby improving the accuracy of rock physical parameters in identifying lithology or fluids, and thus improving the effectiveness of reservoir or fluid identification.

[0073] This application also provides a non-volatile computer storage medium storing at least one executable instruction that can execute the rock physical parameter sensitivity analysis method in any of the above method embodiments.

[0074] Figure 3 A schematic diagram of a computing device according to an embodiment of the present invention is shown. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0075] like Figure 3 As shown, the computing device may include: a processor 302, a communications interface 304, a memory 306, and a communications bus 308.

[0076] in:

[0077] The processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308.

[0078] Communication interface 304 is used to communicate with other network elements such as clients or other servers.

[0079] The processor 302 is used to execute program 310, specifically to perform the relevant steps in the above-described rock physical parameter sensitivity analysis method embodiment.

[0080] Specifically, program 310 may include program code that includes computer operation instructions.

[0081] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computing device may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0082] Memory 306 is used to store program 310. Memory 306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0083] Specifically, program 310 can be used to cause processor 302 to execute the rock physical parameter sensitivity analysis method in any of the above method embodiments. The specific implementation of each step in program 310 can be found in the corresponding descriptions of the steps and units in the above rock physical parameter sensitivity analysis embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the devices and modules described above can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0084] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of the present invention are not directed to any particular programming language. It should be understood that the content of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0085] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0086] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0087] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0088] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0089] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0090] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for sensitivity analysis of rock physical parameters, comprising: The physical parameters of the rock to be analyzed are divided into first parameter data and second parameter data; Calculate the first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and calculate the second parameter value when the cumulative distribution function is a first preset value based on the second parameter data; The rock physical parameter threshold value of the rock physical parameter to be analyzed is determined based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data. If the first parameter value is less than the second parameter value, then a third parameter value with a cumulative distribution function of a second preset value is calculated based on the second parameter data, and the third parameter value is determined as the rock physical parameter threshold value of the rock physical parameter to be analyzed, where the second preset value is 1 minus the first preset value; if the first parameter value is greater than the second parameter value, then the second parameter value is determined as the rock physical parameter threshold value of the rock physical parameter to be analyzed. The sensitivity of the rock physical parameter to be analyzed is calculated based on the rock physical parameter threshold value. Specifically, if the first parameter value is less than the second parameter value, the number of first parameters in the first parameter data whose parameter values ​​are less than the rock physical parameter threshold value is counted, and the sensitivity of the rock physical parameter to be analyzed is calculated based on the number of first parameters and the total number of parameters in the first parameter data. If the first parameter value is greater than the second parameter value, the number of second parameters in the first parameter data whose parameter values ​​are greater than the rock physical parameter threshold value is counted, and the sensitivity of the rock physical parameter to be analyzed is calculated based on the number of second parameters and the total number of parameters in the first parameter data.

2. The method according to claim 1, wherein, The sensitivity of the rock physical parameters to be analyzed, calculated based on the number of the first parameters and the total number of parameters in the first parameter data, further includes: The sensitivity of the physical parameters of the rock to be analyzed is calculated according to formula (1): 。 3. The method according to claim 1, wherein, The sensitivity of the rock physical parameters to be analyzed, calculated based on the number of the second parameter and the total number of parameters in the first parameter data, further includes: The sensitivity of the physical parameters of the rock to be analyzed is calculated according to formula (2): 。 4. The method according to any one of claims 1-3, wherein, The step of dividing the physical parameters of the rock to be analyzed into first parameter data and second parameter data further includes: Based on the parameter interpretation data, the parameter data of the rock physical parameters to be analyzed are divided into first parameter data and second parameter data.

5. The method according to any one of claims 1-3, wherein, The physical parameters of the rock to be analyzed include: longitudinal wave velocity, transverse wave velocity, longitudinal wave impedance, transverse wave impedance, and density.

6. A rock physical parameter sensitivity analysis device, comprising: The partitioning module is suitable for dividing the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data; The first calculation module is adapted to calculate a first parameter value when the cumulative distribution function is a first preset value based on the first parameter data, and to calculate a second parameter value when the cumulative distribution function is a first preset value based on the second parameter data; The determining module is adapted to determine a rock physical parameter threshold value for the rock physical parameter to be analyzed based on the first parameter value and the second parameter value, wherein the rock physical parameter threshold value is the value that divides the first parameter data and the second parameter data; if the first parameter value is less than the second parameter value, then a third parameter value with a cumulative distribution function of a second preset value is calculated based on the second parameter data, and the third parameter value is determined as the rock physical parameter threshold value for the rock physical parameter to be analyzed, where the second preset value is 1 minus the first preset value; if the first parameter value is greater than the second parameter value, then the second parameter value is determined as the rock physical parameter threshold value for the rock physical parameter to be analyzed. The second calculation module is adapted to calculate the sensitivity of the rock physical parameter to be analyzed based on the rock physical parameter threshold value. Specifically, if the first parameter value is less than the second parameter value, the module counts the number of first parameters in the first parameter data whose values ​​are less than the rock physical parameter threshold value, and calculates the sensitivity of the rock physical parameter to be analyzed based on the number of first parameters and the total number of parameters in the first parameter data. If the first parameter value is greater than the second parameter value, the module counts the number of second parameters in the first parameter data whose values ​​are greater than the rock physical parameter threshold value, and calculates the sensitivity of the rock physical parameter to be analyzed based on the number of second parameters and the total number of parameters in the first parameter data.

7. A computing device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the operation corresponding to the rock physical parameter sensitivity analysis method as described in any one of claims 1-5.

8. A computer storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the rock physical parameter sensitivity analysis method as described in any one of claims 1-5.

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