CN115101135A - Rock physical parameter sensitivity analysis method and device - Google Patents
Rock physical parameter sensitivity analysis method and device Download PDFInfo
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Abstract
The invention discloses a rock physical parameter sensitivity analysis method and device. The method comprises the following steps: dividing parameter data of rock physical parameters to be analyzed into first parameter data and second parameter data; calculating a first parameter value when the 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 a rock object 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; the sensitivity of the rock physical parameters to be analyzed is calculated according to the rock physical parameter threshold value, so that the quantitative evaluation of the sensitivity of the rock physical parameters is realized, the purpose of quantitatively analyzing the sensitivity of the rock physical parameters to lithology and fluid is achieved, the accuracy of rock physical parameter identification of the lithology or fluid is improved, and the better the reservoir or fluid identification effect is.
Description
Technical Field
The invention relates to the technical field of exploration, in particular to a rock physical parameter sensitivity analysis method and device.
Background
One of the main purposes of the rock physical analysis work is to analyze the sensitivity of various rock physical parameters to lithology and fluid, so as to screen out the rock physical parameters most sensitive to the lithology and the fluid. Most of the current rock physical analysis methods can only carry out qualitative analysis on the sensitivity of the rock physical parameters, are difficult to quantify and bring difficulty to the rock physical parameter screening work.
In the prior art, the main technical means for analyzing the rock physical parameters is to draw an intersection graph, the vertical axis and the horizontal axis of the intersection graph are the rock physical parameters, the colors or the shapes of sampling points in the graph represent different lithologies or fluids, and the sensitivity of the rock physical parameters is judged by observing the distribution characteristics of different points.
This way of drawing a cross-plot is visually intuitive, but has a drawback: the spots in the cross-plot generally overlap, and human observation alone cannot determine the number of overlapping spots. Therefore, the sensitivity of the rock physical parameters obtained by the method is easy to have larger deviation, the sensitivity of the parameters cannot be quantified, only qualitative evaluation can be given, and the sensitivities of different rock physical parameters are difficult to accurately and objectively compare, so that the cross plot analysis method cannot judge how high the accuracy of the target parameters for identifying the lithology or fluids is, and potential risks are brought to petroleum exploration and development work.
Disclosure of Invention
In view of the above, the present invention has been made to provide a rock physical parameter sensitivity analysis method and apparatus that overcomes or at least partially solves the above problems.
According to an aspect of the present invention, there is provided a rock physical parameter sensitivity analysis method, including:
dividing parameter data of rock physical parameters to be analyzed into first parameter data and second parameter data;
calculating a first parameter value when the 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 object 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 parameters to be analyzed according to the rock physical parameter threshold value.
According to another aspect of the present invention, there is provided a rock physical parameter sensitivity analyzing apparatus comprising:
the dividing 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 suitable for calculating a first parameter value when the 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;
the determining module is suitable for determining a rock physical parameter threshold value of the rock object 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 the second calculation module is suitable for calculating the sensitivity of the rock physical parameters to be analyzed according to the rock physical parameter threshold value.
According to yet another aspect of the present invention, there is provided a computing device comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the rock physical parameter sensitivity analysis method.
According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the rock physical parameter sensitivity analysis method as described above.
According to the scheme provided by the invention, the sensitivity of the rock physical parameters is quantitatively evaluated, the purpose of quantitatively analyzing the sensitivity of the rock physical parameters to the lithology and the fluid is achieved, the accuracy of identifying the lithology or the fluid by the rock physical parameters is improved, and the better the effect of identifying the reservoir or the fluid is.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1A shows a schematic flow diagram of a rock physical parameter sensitivity analysis method according to an embodiment of the invention;
FIG. 1B is a first diagram illustrating a first parameter value and a second parameter value when the cumulative distribution function is a first predetermined value;
FIG. 1C is a second diagram illustrating the first parameter value and the second parameter value when the cumulative distribution function is the first predetermined value;
FIG. 2 is a schematic diagram of a rock physical parameter sensitivity analysis apparatus according to an embodiment of the present invention;
FIG. 3 shows a schematic structural diagram of a computing device according to one embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
FIG. 1A shows a schematic flow diagram of a rock physical parameter sensitivity analysis method according to an embodiment of the invention. As shown in fig. 1A, the method comprises the steps of:
step S101, dividing parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data.
The petrophysical parameters are mainly working parameters for petrophysical analysis, and one of the main purposes of the petrophysical analysis is to analyze the sensitivity of various petrophysical parameters to lithology and fluids. In the oil exploration process, the petrophysical parameters to be analyzed are used for corresponding reservoir prediction and fluid detection, so that the parameter data of the petrophysical parameters to be analyzed can be acquired.
In this step, the parameter data of the petrophysical parameters to be analyzed are divided, which is mainly divided into two groups of data, for example, into first parameter data and second parameter data, where the first parameter data may be parameter data related to sandstone or oil and gas layers, and the second parameter data may be parameter data related to mudstone or water layers. For convenience of description, the first parameter data is named as group a data, and the second parameter data is named as group B data.
Wherein, the petrophysical parameters to be analyzed include: the longitudinal wave velocity, the shear wave velocity, the longitudinal wave impedance, the shear wave impedance, and the density, and of course, other petrophysical parameters may also be included, which are not specifically limited herein.
In an optional embodiment of the present invention, the dividing of the parameter data of the petrophysical parameter to be analyzed into the first parameter data and the second parameter data may be implemented by: and dividing the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data according to the parameter interpretation data.
Specifically, the parameter interpretation data is data for interpreting the parameter data, which may be understood as a data tag, and each parameter data corresponds to corresponding parameter interpretation data, and the parameter interpretation data includes rock interpretation data and fluid interpretation data, for example, the parameter interpretation data may include: sandstone labels, mudstone labels, oil labels, gas labels, water labels, and the like. It should be noted that the parameter interpretation data may also be other interpretation data that can be used to distinguish the first parameter data from the second parameter data, and is not limited in particular here.
Step S102, a first parameter value when the cumulative distribution function is a first preset value is calculated according to the first parameter data, and a second parameter value when the cumulative distribution function is the first preset value is calculated according to the second parameter data.
Specifically, a cumulative distribution function of the first parameter data and the second parameter data is calculated, where the cumulative distribution function is a cumulative probability when the value of the variable X is smaller than or equal to a certain value X, and the formula is:
F(x)＝p(X≤x)
then, a first parameter value when the cumulative distribution function is a first preset value is calculated according to the first parameter data, and a second parameter value when the cumulative distribution function is the first preset value is calculated according to the second parameter data. For example, a first preset value is denoted as p, and a cumulative distribution function f (X) of two sets of data, a and B, is obtained as a value X, where the first preset value may be defined according to actual needs, a value of p ranges from 0.5 to 1, and a value of p is generally suggested to be greater than or equal to 0.8, for example, 0.8. For convenience of subsequent description, the first parameter value is denoted as a, and the second parameter value is denoted as b.
FIG. 1B is a first diagram illustrating a first parameter value and a second parameter value when the cumulative distribution function is a first predetermined value; fig. 1C is a second schematic diagram of the first parameter value and the second parameter value when the cumulative distribution function is the first preset value, and fig. 1B and 1C show two cases of the first parameter value and the second parameter value when the cumulative distribution function is the first preset value. In fig. 1B and 1C, the vertical axis represents cumulative probability, and the horizontal axis represents parameter value. Fig. 1B and 1C show the values of a and B when the cumulative probability p is equal to 0.8.
And S103, determining a rock physical parameter threshold value of the rock object 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.
After the first parameter value and the second parameter value are obtained through calculation, the rock physical parameter threshold value of the rock object parameter to be analyzed can be determined according to the first parameter value and the second parameter value, during specific calculation, the first parameter value and the second parameter value can be compared, and the rock physical parameter threshold value of the rock object parameter to be analyzed can be determined according to the comparison result. The rock physical parameter threshold is a value for dividing the first parameter data and the second parameter data, that is, the rock physical parameter threshold is a standard for dividing two sets of data, and it should be noted that the rock physical parameter threshold is a rough division of the two sets of data, and after the division, there may be a case where the first parameter data includes a small amount of the second parameter data, and/or a case where the second parameter data includes a small amount of the first parameter data, and this case does not affect the sensitivity calculation. The rock physical parameter threshold value is calculated mainly for the purpose of accurately calculating the sensitivity subsequently.
In an optional embodiment of the present invention, the determining the rock physical parameter threshold value of the rock object parameter to be analyzed according to the first parameter value and the second parameter value may be specifically implemented by the following method: comparing the first parameter value with the second parameter value, if the first parameter value is smaller than the second parameter value, calculating a third parameter value of which the cumulative distribution function is a second preset value according to the second parameter data, and determining the third parameter value as a rock physical parameter threshold value of the rock object parameter to be analyzed;
and if the first parameter value is larger than the second parameter value, determining the second parameter value as the rock physical parameter threshold value of the rock object parameter to be analyzed.
Comparing the magnitude of a and B, and if a < B, the rock physical parameter threshold value T is the value of X when the cumulative distribution function F (X) of the 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 the group B data is p.
In general, sandstone, oil and gas layers are called reservoirs, mudstone and water layers are called non-reservoirs, a < b > and a > b represent the numerical magnitude relation of petrophysical parameters of the reservoirs and the non-reservoirs, and it is possible that the numerical value of the petrophysical parameters of the reservoirs is larger than that of the petrophysical parameters of the non-reservoirs and may be smaller than that of the petrophysical parameters of the non-reservoirs, wherein a < b or a > b is judged firstly, mainly for determining the specific calculation mode of the threshold value of the petrophysical parameters.
The data of group a may also be referred to as target data, the data of group B may also be referred to as background data, generally, there are fewer target data samples and more background data samples, and when calculating the threshold value of the petrophysical parameter, the data of group B is used for calculation, which can improve the calculation accuracy, of course, the data of group a may also be used for calculating the threshold value of the petrophysical parameter.
And step S104, calculating the sensitivity of the rock physical parameters to be analyzed according to the rock physical parameter threshold value.
And after the rock physical parameter threshold value is obtained through calculation, calculating the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value, wherein in the specific calculation, the parameter quantity of the parameter value in the first parameter data, which is greater than or less than the rock physical parameter threshold value, is counted by taking the rock physical parameter threshold value as a reference, and the sensitivity of the rock physical parameter to be analyzed is calculated based on the parameter quantity. The sensitivity is a value between 0 and 1, wherein 0 represents no distinction at all, 1 represents one hundred percent distinction, and a larger value indicates that the rock physical parameter has higher sensitivity to lithology or fluid, and the effect of identifying the reservoir or fluid is better.
In an alternative embodiment of the present invention, calculating the sensitivity of the petrophysical parameter to be analyzed based on the petrophysical parameter threshold further comprises:
if the first parameter value is smaller than the second parameter value, counting the first parameter quantity of which parameter values are smaller than the rock physical parameter threshold value in the first parameter data, calculating the sensitivity of the rock physical parameter to be analyzed according to the first parameter quantity and the total parameter quantity of the first parameter data, and calculating the sensitivity of the rock physical parameter to be analyzed according to a formula (1): sensitivity is the first parameter quantity/total quantity formula (1).
If the first parameter value is larger than the second parameter value, counting the number of second parameters with parameter values larger than rock physical parameter threshold values in the first parameter data, and calculating the sensitivity of the rock physical parameters to be analyzed according to the number of the second parameters and the total number of parameters of the first parameter data, wherein the sensitivity of the rock physical parameters to be analyzed can be calculated according to a formula (2): sensitivity is the second parameter quantity/total quantity formula (2).
The principle of the sensitivity calculation is to count the number of samples of the first parameter data that deviate from the second parameter data, and therefore, here, the sensitivity is calculated using the first parameter data.
If a < b, the value of the first parameter data is smaller than the rock physical parameter threshold value on the whole, so that the number of elements of which the parameter value is smaller than the rock physical parameter threshold value T in the first parameter data is counted to calculate the sensitivity; if a > b, it means that the value of the first parameter data is larger than the rock physical parameter threshold value as a whole, and therefore, the number of elements of the first parameter data having parameter values larger than the rock physical parameter threshold value T is counted to calculate the sensitivity. It should be noted that, for the two cases a < b and a > b, two different rock physical parameter thresholds are determined above, and therefore, here too, the sensitivity calculation is performed using the corresponding rock physical parameter thresholds.
It should be noted that, if it is desired to determine the sensitivity of a certain petrophysical parameter to lithology, the first parameter data is sandstone-related data, and the second parameter data is mudstone-related data, so that the sensitivity calculated according to the above method can be used to quantitatively analyze the sensitivity of the petrophysical parameter to lithology, and a higher sensitivity indicates a higher sensitivity to lithology; the lower the sensitivity, the less sensitive to lithology. Correspondingly, if the sensitivity of a certain petrophysical parameter to the fluid is to be determined, the first parameter data is data related to oil and gas layers, and the second parameter data is data related to water layers, so that the sensitivity calculated according to the method can be used for quantitatively analyzing the sensitivity of the petrophysical parameter to the fluid, and the higher the sensitivity is, the more sensitive the fluid is; the lower the sensitivity, the less sensitive the fluid.
After the sensitivity of each rock physical parameter is calculated, the rock physical parameters can be ranked according to the sensitivity, the purpose of quantitatively analyzing the rock physical parameters for distinguishing the lithology and the fluid is achieved, and therefore when exploration is conducted, the appropriate rock physical parameters can be selected according to the ranking.
According to the scheme provided by the invention, the sensitivity of the rock physical parameters is quantitatively evaluated, the purpose of quantitatively analyzing the sensitivity of the rock physical parameters to the lithology and the fluid is achieved, the accuracy of identifying the lithology or the fluid by the rock physical parameters is improved, and the better the effect of identifying the reservoir or the fluid is.
Fig. 2 is a schematic structural diagram of a rock physical parameter sensitivity analysis apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes: the device comprises a dividing module 201, a first calculating module 202, a determining module 203 and a second calculating module 204.
The dividing module 201 is suitable for dividing parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data;
the first calculating module 202 is adapted to calculate a first parameter value when the cumulative distribution function is a first preset value according to the first parameter data, and calculate a second parameter value when the cumulative distribution function is the first preset value according to the second parameter data;
the determining module 203 is adapted to determine a rock physical parameter threshold value of the rock object 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;
the second calculation module 204 is adapted to calculate the sensitivity of the petrophysical parameter to be analyzed based on the petrophysical parameter threshold.
Optionally, the determining module is further adapted to: if the first parameter value is smaller than the second parameter value, calculating a third parameter value of which the cumulative distribution function is a second preset value according to the second parameter data, and determining the third parameter value as a rock physical parameter threshold value of the rock object parameter to be analyzed;
and if the first parameter value is larger than the second parameter value, determining the second parameter value as the rock physical parameter threshold value of the rock object parameter to be analyzed.
Optionally, the second calculation module is further adapted to: if the first parameter value is smaller than the second parameter value, counting the first parameter quantity of which parameter value is smaller than the rock physical parameter threshold value in the first parameter data, and calculating the sensitivity of the rock physical parameter to be analyzed according to the first parameter quantity and the total parameter quantity of the first parameter data;
and if the first parameter value is larger than the second parameter value, counting the number of the second parameters of which parameter values are larger than the rock physical parameter threshold value in the first parameter data, and calculating the sensitivity of the rock physical parameter to be analyzed according to the number of the second parameters and the total number of the parameters of the first parameter data.
Optionally, the second calculation module is further adapted to: calculating the sensitivity of the petrophysical parameter to be analyzed according to the formula (1):
sensitivity is the first parameter quantity/total quantity formula (1).
Optionally, the second calculation module is further adapted to: calculating the sensitivity of the petrophysical parameter to be analyzed according to the formula (2):
sensitivity is the second parameter quantity/total quantity formula (2).
Optionally, the dividing module is further adapted to: and dividing the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data according to the parameter interpretation data.
Optionally, the petrophysical parameters to be analyzed include: longitudinal wave velocity, transverse wave velocity, longitudinal wave impedance, transverse wave impedance, density.
According to the scheme provided by the invention, the sensitivity of the rock physical parameters is quantitatively evaluated, the purpose of quantitatively analyzing the sensitivity of the rock physical parameters to the lithology and the fluid is achieved, the accuracy of identifying the lithology or the fluid by the rock physical parameters is improved, and the better the effect of identifying the reservoir or the fluid is.
The embodiment of the application also provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the rock physical parameter sensitivity analysis method in any method embodiment.
Fig. 3 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 3, the computing device may include: a processor (processor)302, a communication Interface 304, a memory 306, and a communication bus 308.
Wherein:
the processor 302, communication interface 304, and memory 306 communicate with each other via a communication bus 308.
A communication interface 304 for communicating with network elements of other devices, such as clients or other servers.
The processor 302 is configured to execute the program 310, and may specifically execute the relevant steps in the rock physical parameter sensitivity analysis method embodiment described above.
In particular, program 310 may include program code comprising computer operating instructions.
The processor 302 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 306 for storing a program 310. Memory 306 may comprise high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 310 may be specifically adapted to cause the processor 302 to perform the petrophysical parameter sensitivity analysis method in any of the method embodiments described above. For specific implementation of each step in the procedure 310, reference may be made to corresponding steps and corresponding descriptions in units in the rock physical parameter sensitivity analysis embodiment described above, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, 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 in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website, or provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limited to the order of execution unless otherwise specified.
Claims (10)
1. A rock physical parameter sensitivity analysis method comprises the following steps:
dividing parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data;
calculating a first parameter value when the 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 object 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 first parameter data and second parameter data;
and calculating the sensitivity of the rock physical parameters to be analyzed according to the rock physical parameter threshold value.
2. The method of claim 1, wherein said determining a petrophysical parameter threshold value for the rock object parameter to be analyzed from the first parameter value and the second parameter value further comprises:
if the first parameter value is smaller than the second parameter value, calculating a third parameter value of which the cumulative distribution function is a second preset value according to the second parameter data, and determining the third parameter value as a rock physical parameter threshold value of the rock object parameter to be analyzed;
and if the first parameter value is larger than the second parameter value, determining the second parameter value as the rock physical parameter threshold value of the rock object parameter to be analyzed.
3. The method of claim 1 or 2, wherein said calculating the sensitivity of the petrophysical parameter to be analyzed according to the petrophysical parameter threshold value further comprises:
if the first parameter value is smaller than the second parameter value, counting a first parameter quantity of which parameter value is smaller than the rock physical parameter threshold value in the first parameter data, and calculating the sensitivity of the rock physical parameter to be analyzed according to the first parameter quantity and the total parameter quantity of the first parameter data;
and if the first parameter value is larger than the second parameter value, counting the number of second parameters with parameter values larger than the rock physical parameter threshold value in the first parameter data, and calculating the sensitivity of the rock physical parameter to be analyzed according to the number of the second parameters and the total number of the parameters of the first parameter data.
4. The method of claim 3, wherein calculating the sensitivity of the petrophysical parameter to be analyzed from the first quantity of parameters and the total quantity of parameters of the first parameter data further comprises:
calculating the sensitivity of the petrophysical parameter to be analyzed according to the formula (1):
sensitivity is the first parameter quantity/total quantity formula (1).
5. The method of claim 3, wherein calculating the sensitivity of the petrophysical parameter to be analyzed from the second quantity of parameters and the total quantity of parameters of the first parameter data further comprises:
calculating the sensitivity of the petrophysical parameter to be analyzed according to the formula (2):
sensitivity is the second parameter quantity/total quantity formula (2).
6. The method according to any one of claims 1-5, wherein the dividing of the parameter data of the petrophysical parameter to be analyzed into first parameter data and second parameter data further comprises:
and dividing the parameter data of the rock physical parameters to be analyzed into first parameter data and second parameter data according to the parameter interpretation data.
7. The method according to any one of claims 1-6, wherein the petrophysical parameters to be analyzed include: longitudinal wave velocity, transverse wave velocity, longitudinal wave impedance, transverse wave impedance, density.
8. A rock physics parameter sensitivity analysis apparatus comprising:
the dividing 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 suitable for calculating a first parameter value when the 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;
the determining module is suitable for determining a rock physical parameter threshold value of the rock object 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 first parameter data and second parameter data;
and the second calculation module is suitable for calculating the sensitivity of the rock physical parameter to be analyzed according to the rock physical parameter threshold value.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the rock physical parameter sensitivity analysis method according to any one of claims 1-7.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the petrophysical parameter sensitivity analysis method of any one of claims 1-7.
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| CN117166996B (en) * | 2023-07-27 | 2024-03-22 | 中国地质大学（北京） | Method, device, equipment and storage medium for determining geological parameter threshold |
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