Sand body characterization method and device

Abstract

The present application discloses a sand body characterization method and device, comprising: obtaining a seismic frequency range corresponding to a target objective layer, seismic data corresponding to each target cube, a gamma curve corresponding to a target well, and the number of thin sand bodies, the number of medium sand bodies, and the number of thick sand bodies in the target well; filtering the gamma curve according to the seismic frequency range; performing time-frequency analysis on the gamma curve according to the seismic frequency range to obtain the main frequencies of low-frequency bands, medium-frequency bands, and high-frequency bands corresponding to the target objective layer; performing frequency division processing on the seismic data corresponding to each target cube according to the main frequencies of the low-frequency bands, medium-frequency bands, and high-frequency bands to obtain frequency division data bodies of low-frequency bands, medium-frequency bands, and high-frequency bands corresponding to each target cube; determining a fusion ratio parameter according to the number of thin sand bodies, the number of medium sand bodies, and the number of thick sand bodies; and characterizing the target objective layer according to the fusion ratio parameter and the frequency division data bodies of low-frequency bands, medium-frequency bands, and high-frequency bands corresponding to each target cube.

Description

Technical Field

[0001] The present application relates to the technical field of oil and gas exploration, and in particular to a sand body characterization method and device. Background Art

[0002] With the continuous deepening of exploration and development of oil resources, the requirements for sand body characterization are getting higher and higher. Sand body characterization refers to predicting the distribution of sand bodies in the target layer, for example, predicting the position, shape, thickness, etc. of sand bodies in the target layer.

[0003] At present, when characterizing the sand body of a target layer, the staff usually first conducts a simulated seismic experiment in the area where the target layer is located to obtain the seismic data corresponding to the target layer, and then manually sets the frequency division parameters and fusion ratio parameters corresponding to the target layer. Finally, the sand body of the target layer is characterized according to the seismic data, frequency division parameters and fusion ratio parameters corresponding to the target layer. However, when setting the frequency division parameters and fusion ratio parameters corresponding to the target layer, the staff needs to conduct a large number of repeated experiments, resulting in a low efficiency in characterizing the sand body of the target layer; and the staff's setting of the frequency division parameters and fusion ratio parameters corresponding to the target layer depends on the staff's subjective judgment, resulting in a low accuracy rate in characterizing the sand body of the target layer. Summary of the invention

[0004] The embodiments of the present application provide a sand body characterization method and device, the main purpose of which is to improve the efficiency and accuracy of sand body characterization of a target layer.

[0005] In order to solve the above technical problems, the embodiments of the present application provide the following technical solutions:

[0006] In a first aspect, the present application provides a sand body characterization method, the method comprising:

[0007] Obtaining the seismic frequency range corresponding to the target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target layer is located below the target area, a plurality of the target cubes constitute the target layer, and the target wellbore is located in the target area;

[0008] Filtering the gamma curve according to the seismic frequency range corresponding to the target target layer, and performing time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer;

[0009] According to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each target cube;

[0010] Determine a fusion ratio parameter corresponding to the target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well;

[0011] According to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target destination layer is characterized and processed to obtain a three-dimensional image corresponding to the target destination layer.

[0012] Optionally, the time-frequency analysis processing is performed on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer, including:

[0013] According to the seismic frequency range corresponding to the target target layer, determine the low frequency band frequency range, the mid frequency band frequency range and the high frequency band frequency range corresponding to the target target layer;

[0014] Performing time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum;

[0015] The frequency corresponding to the energy group within the low-frequency band frequency range in the gamma spectrum is determined as the low-frequency band main frequency corresponding to the target destination layer, the frequency corresponding to the energy group within the mid-frequency band frequency range in the gamma spectrum is determined as the mid-frequency band main frequency corresponding to the target destination layer, and the frequency corresponding to the energy group within the high-frequency band frequency range in the gamma spectrum is determined as the high-frequency band main frequency corresponding to the target destination layer.

[0016] Optionally, determining the fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well includes:

[0017] Calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well;

[0018] Dividing the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value;

[0019] Dividing the number of medium sand bodies by the total number of sand bodies to obtain a second proportion value;

[0020] Dividing the number of thick sand bodies by the total number of sand bodies to obtain a third ratio value;

[0021] The first proportion value, the second proportion value and the third proportion value are combined into a fusion ratio parameter corresponding to the target destination layer.

[0022] Optionally, the characterization processing of the target destination layer is performed according to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each of the target cubes to obtain a three-dimensional image corresponding to the target destination layer, including:

[0023] Determine the first red channel value corresponding to each target cube according to the low-band frequency division data volume corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube;

[0024] Determine the first green channel value corresponding to each target cube according to the mid-band frequency division data volume corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube;

[0025] Determine a first blue channel value corresponding to each target cube according to the high-frequency band frequency division data volume corresponding to each target cube, and calculate a second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube;

[0026] According to the second red channel value, the second green channel value and the second blue channel value corresponding to each of the target cubes, the target object layer is depicted to obtain a three-dimensional image corresponding to the target object layer.

[0027] In a second aspect, the present application also provides a sand body characterization device, the device comprising:

[0028] An acquisition unit is used to acquire a seismic frequency range corresponding to a target target layer, seismic data corresponding to each target cube, a gamma curve corresponding to a target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target target layer is located below a target area, a plurality of target cubes constitute the target target layer, and the target wellbore is located in the target area;

[0029] A first processing unit, configured to filter the gamma curve according to a seismic frequency range corresponding to the target layer;

[0030] A second processing unit is used to perform time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer;

[0031] A third processing unit is used to perform frequency division processing on the seismic data corresponding to each of the target cubes according to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, so as to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each of the target cubes;

[0032] A determination unit, used to determine a fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well;

[0033] The fourth processing unit is used to characterize the target destination layer according to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data body, the mid-frequency band frequency division data body and the high-frequency band frequency division data body corresponding to each of the target cubes, so as to obtain a three-dimensional image corresponding to the target destination layer.

[0034] Optionally, the second processing unit includes:

[0035] A first determination module is used to determine a low-band frequency range, a mid-band frequency range, and a high-band frequency range corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer;

[0036] A processing module, used for performing time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum;

[0037] The second determination module is used to determine the frequency corresponding to the energy group located in the low-frequency band frequency range in the gamma time spectrum as the low-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the mid-frequency band frequency range in the gamma time spectrum as the mid-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the high-frequency band frequency range in the gamma time spectrum as the high-frequency band main frequency corresponding to the target destination layer.

[0038] Optionally, the determination unit is specifically used to calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well; divide the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value; divide the number of medium sand bodies by the total number of sand bodies to obtain a second proportion value; divide the number of thick sand bodies by the total number of sand bodies to obtain a third proportion value; and combine the first proportion value, the second proportion value and the third proportion value into a fusion ratio parameter corresponding to the target destination layer.

[0039] Optionally, the fourth processing unit is specifically used to determine the first red channel value corresponding to each target cube according to the low-frequency band frequency division data body corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube; determine the first green channel value corresponding to each target cube according to the mid-frequency band frequency division data body corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube; determine the first blue channel value corresponding to each target cube according to the high-frequency band frequency division data body corresponding to each target cube, and calculate the second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube; characterize the target destination layer according to the second red channel value, the second green channel value and the second blue channel value corresponding to each target cube to obtain a three-dimensional image corresponding to the target destination layer.

[0040] In a third aspect, an embodiment of the present application provides a storage medium, wherein the storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the sand body characterization method described in the first aspect.

[0041] In a fourth aspect, an embodiment of the present application provides a sand body characterization device, which includes a storage medium; and one or more processors, wherein the storage medium is coupled to the processor, and the processor is configured to execute program instructions stored in the storage medium; when the program instructions are executed, the sand body characterization method described in the first aspect is executed.

[0042] By means of the above technical solution, the technical solution provided by this application has at least the following advantages:

[0043] The present application provides a sand body characterization method and device. The present application can obtain the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well in the sand body characterization application. The sand body characterization application first filters the gamma curve according to the seismic frequency range corresponding to the target target layer, and performs time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low-frequency band, the main frequency of the medium-frequency band, and the main frequency of the high-frequency band corresponding to the target target layer; then, according to the seismic frequency range corresponding to the target target layer, the gamma curve is filtered and processed. The low-frequency band main frequency, medium-frequency band main frequency and high-frequency band main frequency corresponding to the layer are used to perform frequency division processing on the seismic data corresponding to each target cube to obtain the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube; then, according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well, the fusion ratio parameter corresponding to the target target layer is determined; finally, according to the fusion ratio parameter corresponding to the target target layer, the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube, the target target layer is characterized and processed to obtain a three-dimensional image corresponding to the target target layer. Because, in the present application, the sand body characterization application determines the frequency division parameters corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer and the gamma curve corresponding to the target well, and determines the fusion ratio parameters corresponding to the target target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, instead of the staff manually setting the frequency division parameters and fusion ratio parameters corresponding to the target target layer. Therefore, the time consumed in determining the frequency division parameters and fusion ratio parameters corresponding to the target target layer can be effectively shortened, and the accuracy of the determined frequency division parameters and fusion ratio parameters can be improved, thereby effectively improving the efficiency and accuracy of sand body characterization of the target target layer.

[0044] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become easy to understand. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0046] Figure 1 A flow chart of a sand body characterization method provided in an embodiment of the present application is shown;

[0047] Figure 2 Another flow chart of a sand body characterization method provided in an embodiment of the present application is shown;

[0048] Figure 3 A block diagram of a sand body characterization device provided in an embodiment of the present application is shown;

[0049] Figure 4 A block diagram of another sand body characterization device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0050] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0051] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by technicians in the field to which this application belongs.

[0052] The present application provides a sand body characterization method, specifically as follows Figure 1 As shown, the method includes:

[0053] 101. Obtain the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well.

[0054] Among them, the target target layer is the target layer that needs to be characterized by sand bodies, and the target target layer is located below the target area, that is, the target target layer is the space of the target depth below the target area, and the target area can be but is not limited to the target reservoir area; wherein the target target layer is pre-divided into multiple target cubes, that is, multiple target cubes constitute the target target layer, and the seismic data corresponding to the target cubes include the seismic frequency corresponding to the target cubes; wherein the target well is a well located in the target area and has been drilled, and the gamma curve corresponding to the target well is obtained by the staff through well logging measurement, and the number of thin sand bodies, the number of medium sand bodies, and the number of thick sand bodies in the target well are The number is determined by the staff through statistical analysis of each sand body in the target well according to the seismic wavelength used in the simulated seismic experiment in the target area. For example, if the seismic wavelength used in the simulated seismic experiment in the target area is λ, the sand body with a thickness within (0, 0.25λ] in the target well can be determined as a thin sand body, the sand body with a thickness within (0.25λ, 0.5λ] in the target well can be determined as a medium sand body, and the sand body with a thickness greater than 0.5λ in the target well can be determined as a thick sand body. Then, the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target well can be counted respectively, but the present invention is not limited thereto.

[0055] In the embodiment of the present application, the execution subject in each step is a sand body characterization application running in a target terminal device, and the target terminal device can be but is not limited to: a computer, a server, a tablet computer, etc.

[0056] In the embodiment of the present application, in order to characterize the sand body of the target target layer, the staff needs to conduct a simulated seismic experiment on the target area in advance, so as to obtain the seismic data corresponding to the target target layer (that is, obtain the seismic data corresponding to each target cube in the target target layer), and determine the seismic frequency range corresponding to the target target layer according to the seismic data corresponding to the target target layer (that is, determine the seismic frequency range corresponding to the target target layer according to the seismic frequency corresponding to each target cube), and obtain the gamma curve corresponding to the target well and determine the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well. The obtained seismic frequency range corresponding to the target destination layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well are then stored in the local storage space of the target terminal device; when it is necessary to characterize the sand body of the target destination layer, the sand body characterization application can obtain the seismic frequency range corresponding to the target destination layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well in the local storage space of the target terminal device.

[0057] 102. The gamma curve is filtered according to the seismic frequency range corresponding to the target target layer, and the filtered gamma curve is subjected to time-frequency analysis according to the seismic frequency range corresponding to the target target layer to obtain the main frequency of the low-frequency band, the main frequency of the middle-frequency band and the main frequency of the high-frequency band corresponding to the target target layer.

[0058] In the embodiment of the present application, after obtaining the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target wellbore, and the number of thin sand bodies, the number of medium sand bodies, and the number of thick sand bodies in the target wellbore, the sand body characterization application can filter the gamma curve corresponding to the target wellbore according to the seismic frequency range corresponding to the target target layer, that is, the gamma curve corresponding to the target wellbore is intercepted according to the seismic frequency range corresponding to the target target layer to keep the frequency of the gamma curve within the seismic frequency range corresponding to the target target layer. For example, assuming that the seismic frequency range corresponding to the target target layer is (f1, f2), the gamma curve after filtering is the partial gamma curve whose frequency is within (f1, f2) in the original gamma curve; after filtering the gamma curve corresponding to the target well according to the seismic frequency range corresponding to the target target layer, the sand body characterization application can perform time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low-frequency band, the main frequency of the medium-frequency band and the main frequency of the high-frequency band corresponding to the target target layer.

[0059] 103. According to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target destination layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each target cube.

[0060] In an embodiment of the present application, after obtaining the low-frequency band main frequency, medium-frequency band main frequency and high-frequency band main frequency corresponding to the target destination layer, the sand body characterization application can perform frequency division processing on the seismic data corresponding to each target cube according to the low-frequency band main frequency, medium-frequency band main frequency and high-frequency band main frequency corresponding to the target destination layer, thereby obtaining the low-frequency band frequency division data body, medium-frequency band frequency division data body and high-frequency band frequency division data body corresponding to each target cube.

[0061] Specifically, in this step, for any target cube, the seismic data corresponding to the target cube is first frequency-divided to obtain the frequency-divided data volume of the target cube at each frequency, and then, according to the low-frequency band main frequency, mid-frequency band main frequency and high-frequency band main frequency corresponding to the target destination layer, the low-frequency band frequency-divided data volume, mid-frequency band frequency-divided data volume and high-frequency band frequency-divided data volume corresponding to the target cube are extracted from the frequency-divided data volume of the target cube at each frequency.

[0062] 104. According to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well, determine the fusion ratio parameter corresponding to the target target layer.

[0063] In an embodiment of the present application, after obtaining the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the sand body characterization application can determine the fusion ratio parameter corresponding to the target destination layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well.

[0064] 105. According to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target destination layer is characterized and processed to obtain a three-dimensional image corresponding to the target destination layer.

[0065] In an embodiment of the present application, after determining the fusion ratio parameters corresponding to the target destination layer, the sand body characterization application can characterize the target destination layer according to the fusion ratio parameters corresponding to the target destination layer, the low-frequency band frequency division data body, the medium-frequency band frequency division data body and the high-frequency band frequency division data body corresponding to each target cube, thereby obtaining a three-dimensional image corresponding to the target destination layer, wherein the black color in the three-dimensional image corresponding to the target destination layer represents mudstone, the bright yellow color represents sand body, the red color reflects the top and bottom of the thick sand body, and the blue color reflects the top and bottom of the thin sand body. According to the three-dimensional image corresponding to the target destination layer, the sand body position, sand body shape and sand body thickness in the target destination layer can be determined.

[0066] The embodiment of the present application provides a sand body characterization method. The embodiment of the present application can obtain the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well in the sand body characterization application. Then, the sand body characterization application first filters the gamma curve according to the seismic frequency range corresponding to the target target layer, and performs time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low frequency band, the main frequency of the medium frequency band, and the main frequency of the high frequency band corresponding to the target target layer; then, according to the seismic frequency range corresponding to the target target layer, the gamma curve is filtered and processed. The low-frequency band main frequency, medium-frequency band main frequency and high-frequency band main frequency corresponding to the target layer are used to perform frequency division processing on the seismic data corresponding to each target cube to obtain the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube; then, according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well, the fusion ratio parameter corresponding to the target target layer is determined; finally, according to the fusion ratio parameter corresponding to the target target layer, the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube, the target target layer is characterized to obtain a three-dimensional image corresponding to the target target layer. Because, in the embodiment of the present application, the sand body characterization application determines the frequency division parameters corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer and the gamma curve corresponding to the target well, and determines the fusion ratio parameters corresponding to the target target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, instead of the staff manually setting the frequency division parameters and fusion ratio parameters corresponding to the target target layer. Therefore, the time consumed in determining the frequency division parameters and fusion ratio parameters corresponding to the target target layer can be effectively shortened, and the accuracy of the determined frequency division parameters and fusion ratio parameters can be improved, thereby effectively improving the efficiency and accuracy of sand body characterization of the target target layer.

[0067] To explain in more detail below, the present application provides another sand body characterization method, specifically as follows Figure 2 As shown, the method includes:

[0068] 201. Obtain the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well.

[0069] Among them, regarding step 201, obtaining the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well, please refer to Figure 1 The description of the corresponding parts will not be repeated here in the embodiments of the present application.

[0070] 202. Filter the gamma curve according to the seismic frequency range corresponding to the target layer.

[0071] Among them, regarding step 202, filtering the gamma curve according to the seismic frequency range corresponding to the target layer, reference can be made to Figure 1 The description of the corresponding parts will not be repeated here in the embodiments of the present application.

[0072] 203. Perform time-frequency analysis on the filtered gamma curve according to the seismic frequency range corresponding to the target layer to obtain the main frequency of the low-frequency band, the main frequency of the middle-frequency band and the main frequency of the high-frequency band corresponding to the target layer.

[0073] In an embodiment of the present application, after the sand body characterization application performs filtering processing on the gamma curve corresponding to the target drilled well according to the seismic frequency range corresponding to the target target layer, the gamma curve after filtering processing can be performed time-frequency analysis processing according to the seismic frequency range corresponding to the target target layer, thereby obtaining the main frequency of the low-frequency band, the main frequency of the medium-frequency band and the main frequency of the high-frequency band corresponding to the target target layer.

[0074] Specifically, in this step, the sand body characterization application performs time-frequency analysis on the filtered gamma curve according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low frequency band, the main frequency of the medium frequency band and the main frequency of the high frequency band corresponding to the target target layer. The specific process is:

[0075] First, according to the seismic frequency range corresponding to the target layer, the low-frequency band frequency range, the mid-frequency band frequency range and the high-frequency band frequency range corresponding to the target layer are determined. For example, assuming that the seismic frequency range corresponding to the target layer is (f1, f2), the low-frequency band frequency range corresponding to the target layer can be determined as The mid-band frequency range corresponding to the target destination layer is determined as The high-frequency band frequency range corresponding to the target layer is determined as But it is not limited to this.

[0076] Secondly, the gamma curve after filtering is subjected to time-frequency analysis to obtain the gamma time-frequency spectrum;

[0077] Finally, the frequency corresponding to the energy cluster within the low-frequency band frequency range in the gamma time spectrum is determined as the low-frequency band main frequency corresponding to the target destination layer, the frequency corresponding to the energy cluster within the mid-frequency band frequency range in the gamma time spectrum is determined as the mid-frequency band main frequency corresponding to the target destination layer, and the frequency corresponding to the energy cluster within the high-frequency band frequency range in the gamma time spectrum is determined as the high-frequency band main frequency corresponding to the target destination layer.

[0078] 204. According to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target destination layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each target cube.

[0079] Among them, regarding step 204, according to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain the low-frequency band frequency division data volume, the middle-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, it can be referred to Figure 1 The description of the corresponding parts will not be repeated here in the embodiments of the present application.

[0080] 205. According to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, determine the fusion ratio parameter corresponding to the target layer.

[0081] In an embodiment of the present application, after obtaining the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the sand body characterization application can determine the fusion ratio parameter corresponding to the target destination layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well.

[0082] Specifically, in this step, the sand body characterization application determines the specific process of the fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well:

[0083] Firstly, according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, the total number of sand bodies in the target well is calculated, that is, the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well are summed up to obtain the total number of sand bodies in the target well;

[0084] Secondly, the number of thin sand bodies is divided by the total number of sand bodies to obtain a first proportion value, the number of medium sand bodies is divided by the total number of sand bodies to obtain a second proportion value, and the number of thick sand bodies is divided by the total number of sand bodies to obtain a third proportion value;

[0085] Finally, the first proportion value, the second proportion value and the third proportion value are combined into a fusion ratio parameter corresponding to the target destination layer.

[0086] 206. According to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target destination layer is characterized and processed to obtain a three-dimensional image corresponding to the target destination layer.

[0087] In an embodiment of the present application, after determining the fusion ratio parameters corresponding to the target destination layer, the sand body characterization application can characterize the target destination layer according to the fusion ratio parameters corresponding to the target destination layer, the low-frequency band frequency division data body, the medium-frequency band frequency division data body and the high-frequency band frequency division data body corresponding to each target cube, thereby obtaining a three-dimensional image corresponding to the target destination layer.

[0088] Specifically, in this step, the sand body characterization application performs characterization processing on the target target layer according to the fusion ratio parameter corresponding to the target target layer, the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, so as to obtain the specific process of the three-dimensional image corresponding to the target target layer:

[0089] First, the first red channel value corresponding to each target cube is determined according to the low-frequency band frequency division data volume corresponding to each target cube, and the second red channel value corresponding to each target cube is calculated according to the third proportion value and the first red channel value corresponding to each target cube, that is, the third proportion value is multiplied by the first red channel value corresponding to each target cube, so as to obtain the second red channel value corresponding to each target cube;

[0090] Secondly, the first green channel value corresponding to each target cube is determined according to the intermediate frequency band frequency division data body corresponding to each target cube, and the second green channel value corresponding to each target cube is calculated according to the second proportion value and the first green channel value corresponding to each target cube, that is, the second proportion value is multiplied by the first green channel value corresponding to each target cube, so as to obtain the second green channel value corresponding to each target cube;

[0091] Thirdly, the first blue channel value corresponding to each target cube is determined according to the high-frequency band frequency division data volume corresponding to each target cube, and the second blue channel value corresponding to each target cube is calculated according to the first proportion value and the first blue channel value corresponding to each target cube, that is, the first proportion value is multiplied by the first blue channel value corresponding to each target cube, so as to obtain the second green channel value corresponding to each target cube;

[0092] Finally, according to the second red channel value, the second green channel value and the second blue channel value corresponding to each target cube (ie, the RGB value corresponding to each target cube), the target destination layer is characterized to obtain a three-dimensional image corresponding to the target destination layer.

[0093] It should be noted that the sand body characterization application can adopt any existing method of determining RGB values ​​based on the frequency division data body to determine the first red channel value, first green channel value and first blue channel value corresponding to each target cube according to the low-frequency band frequency division data body, mid-frequency band frequency division data body and high-frequency band frequency division data body corresponding to each target cube. The embodiment of the present application does not specifically limit this.

[0094] In order to achieve the above-mentioned purpose, according to another aspect of the present application, an embodiment of the present application further provides a storage medium, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above-mentioned sand body characterization method.

[0095] In order to achieve the above-mentioned purpose, according to another aspect of the present application, an embodiment of the present application also provides a sand body characterization device, which includes a storage medium; and one or more processors, the storage medium is coupled to the processor, and the processor is configured to execute program instructions stored in the storage medium; when the program instructions are run, the sand body characterization method described above is executed.

[0096] Furthermore, as a response to the above Figure 1 and Figure 2 In order to realize the method shown in the figure, another embodiment of the present application also provides a sand body characterization device. This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. This device is used to improve the efficiency and accuracy of sand body characterization of the target layer, specifically as follows Figure 3 As shown, the device comprises:

[0097] An acquisition unit 31 is used to acquire a seismic frequency range corresponding to a target target layer, seismic data corresponding to each target cube, a gamma curve corresponding to a target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target target layer is located below a target area, a plurality of target cubes constitute the target target layer, and the target wellbore is located in the target area;

[0098] A first processing unit 32 is used to filter the gamma curve according to the seismic frequency range corresponding to the target layer;

[0099] The second processing unit 33 is used to perform time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target layer, so as to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target layer;

[0100] The third processing unit 34 is used to perform frequency division processing on the seismic data corresponding to each of the target cubes according to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, so as to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each of the target cubes;

[0101] A determination unit 35 is used to determine a fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well;

[0102] The fourth processing unit 36 ​​is used to characterize the target purpose layer according to the fusion ratio parameter corresponding to the target purpose layer, the low-frequency band frequency division data body, the mid-frequency band frequency division data body and the high-frequency band frequency division data body corresponding to each of the target cubes, so as to obtain a three-dimensional image corresponding to the target purpose layer.

[0103] Further, such as Figure 4 As shown, the second processing unit 33 includes:

[0104] A first determination module 331 is used to determine a low-band frequency range, a mid-band frequency range, and a high-band frequency range corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer;

[0105] A processing module 332 is used to perform time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum;

[0106] The second determination module 333 is used to determine the frequency corresponding to the energy group located in the low-frequency band frequency range in the gamma time spectrum as the low-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the mid-frequency band frequency range in the gamma time spectrum as the mid-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the high-frequency band frequency range in the gamma time spectrum as the high-frequency band main frequency corresponding to the target destination layer.

[0107] Further, such as Figure 4 As shown, the determination unit 35 is specifically used to calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well; divide the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value; divide the number of medium sand bodies by the total number of sand bodies to obtain a second proportion value; divide the number of thick sand bodies by the total number of sand bodies to obtain a third proportion value; and combine the first proportion value, the second proportion value and the third proportion value into a fusion ratio parameter corresponding to the target destination layer.

[0108] Further, such as Figure 4As shown, the fourth processing unit 36 ​​is specifically used to determine the first red channel value corresponding to each target cube according to the low-frequency band frequency division data body corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube; determine the first green channel value corresponding to each target cube according to the mid-frequency band frequency division data body corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube; determine the first blue channel value corresponding to each target cube according to the high-frequency band frequency division data body corresponding to each target cube, and calculate the second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube; characterize the target destination layer according to the second red channel value, the second green channel value and the second blue channel value corresponding to each target cube to obtain a three-dimensional image corresponding to the target destination layer.

[0109] The embodiment of the present application provides a sand body characterization method and device. The embodiment of the present application can obtain the seismic frequency range corresponding to the target target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target well, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target well in the sand body characterization application. Then, the sand body characterization application first filters the gamma curve according to the seismic frequency range corresponding to the target target layer, and performs time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low-frequency band, the main frequency of the medium-frequency band, and the main frequency of the high-frequency band corresponding to the target target layer; and then performs time-frequency analysis on the gamma curve according to the seismic frequency range corresponding to the target target layer. The low-frequency band main frequency, medium-frequency band main frequency and high-frequency band main frequency corresponding to the target target layer are used to perform frequency division processing on the seismic data corresponding to each target cube to obtain the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube; then, according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well, the fusion ratio parameter corresponding to the target target layer is determined; finally, according to the fusion ratio parameter corresponding to the target target layer, the low-frequency band frequency division data volume, medium-frequency band frequency division data volume and high-frequency band frequency division data volume corresponding to each target cube, the target target layer is characterized and processed to obtain a three-dimensional image corresponding to the target target layer. Because, in the embodiment of the present application, the sand body characterization application determines the frequency division parameters corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer and the gamma curve corresponding to the target well, and determines the fusion ratio parameters corresponding to the target target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, instead of the staff manually setting the frequency division parameters and fusion ratio parameters corresponding to the target target layer. Therefore, the time consumed in determining the frequency division parameters and fusion ratio parameters corresponding to the target target layer can be effectively shortened, and the accuracy of the determined frequency division parameters and fusion ratio parameters can be improved, thereby effectively improving the efficiency and accuracy of sand body characterization of the target target layer.

[0110] The sand body characterization device includes a processor and a memory. The above-mentioned acquisition unit, first processing unit, second processing unit, third processing unit, determination unit and fourth processing unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0111] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the efficiency and accuracy of sand body characterization of the target layer can be improved by adjusting the kernel parameters.

[0112] An embodiment of the present application provides a storage medium, which includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the sand body characterization method described above.

[0113] The storage medium may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0114] An embodiment of the present application also provides a sand body characterization device, which includes a storage medium; and one or more processors, wherein the storage medium is coupled to the processor, and the processor is configured to execute program instructions stored in the storage medium; when the program instructions are executed, the sand body characterization method described above is executed.

[0115] The embodiment of the present application provides a device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented:

[0116] Obtaining the seismic frequency range corresponding to the target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target layer is located below the target area, a plurality of the target cubes constitute the target layer, and the target wellbore is located in the target area;

[0117] Filtering the gamma curve according to the seismic frequency range corresponding to the target target layer, and performing time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer;

[0118] According to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each target cube;

[0119] Determine a fusion ratio parameter corresponding to the target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well;

[0120] According to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target destination layer is characterized and processed to obtain a three-dimensional image corresponding to the target destination layer.

[0121] Further, the gamma curve after filtering is subjected to time-frequency analysis according to the seismic frequency range corresponding to the target layer to obtain the main frequency of the low-frequency band, the main frequency of the medium-frequency band and the main frequency of the high-frequency band corresponding to the target layer, including:

[0122] According to the seismic frequency range corresponding to the target target layer, determine the low frequency band frequency range, the mid frequency band frequency range and the high frequency band frequency range corresponding to the target target layer;

[0123] Performing time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum;

[0124] The frequency corresponding to the energy group within the low-frequency band frequency range in the gamma spectrum is determined as the low-frequency band main frequency corresponding to the target destination layer, the frequency corresponding to the energy group within the mid-frequency band frequency range in the gamma spectrum is determined as the mid-frequency band main frequency corresponding to the target destination layer, and the frequency corresponding to the energy group within the high-frequency band frequency range in the gamma spectrum is determined as the high-frequency band main frequency corresponding to the target destination layer.

[0125] Furthermore, the fusion ratio parameter corresponding to the target target layer is determined according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well, including:

[0126] Calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well;

[0127] Dividing the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value;

[0128] Dividing the number of medium sand bodies by the total number of sand bodies to obtain a second proportion value;

[0129] Dividing the number of thick sand bodies by the total number of sand bodies to obtain a third ratio value;

[0130] The first proportion value, the second proportion value and the third proportion value are combined into a fusion ratio parameter corresponding to the target destination layer.

[0131] Further, the target destination layer is characterized according to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, so as to obtain a three-dimensional image corresponding to the target destination layer, including:

[0132] Determine the first red channel value corresponding to each target cube according to the low-band frequency division data volume corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube;

[0133] Determine the first green channel value corresponding to each target cube according to the mid-band frequency division data volume corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube;

[0134] Determine a first blue channel value corresponding to each target cube according to the high-frequency band frequency division data volume corresponding to each target cube, and calculate a second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube;

[0135] The target layer is characterized according to the second red channel value, the second green channel value and the second blue channel value corresponding to each target cube, so as to obtain a three-dimensional image corresponding to the target layer.

[0136] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program code that is initialized with the following method steps: obtaining a seismic frequency range corresponding to a target target layer, seismic data corresponding to each target cube, a gamma curve corresponding to a target well, and the number of thin sand bodies, the number of medium sand bodies, and the number of thick sand bodies in the target well, wherein the target target layer is located below a target area, a plurality of target cubes constitute the target target layer, and the target well is located in the target area; filtering the gamma curve according to the seismic frequency range corresponding to the target target layer, and performing time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the target The main frequencies of the low-frequency band, the medium-frequency band and the high-frequency band corresponding to the target layer; according to the main frequencies of the low-frequency band, the medium-frequency band and the high-frequency band corresponding to the target layer, the seismic data corresponding to each target cube are subjected to frequency division processing to obtain the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube; according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target well, the fusion ratio parameter corresponding to the target target layer is determined; according to the fusion ratio parameter corresponding to the target target layer, the low-frequency band frequency division data volume, the medium-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target target layer is characterized to obtain a three-dimensional image corresponding to the target target layer.

[0137] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0138] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0139] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0140] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0141] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0142] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0143] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0144] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0145] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0146] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A sand body characterization method, characterized in that: The method comprises: Obtaining the seismic frequency range corresponding to the target layer, the seismic data corresponding to each target cube, the gamma curve corresponding to the target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target layer is located below the target area, a plurality of the target cubes constitute the target layer, and the target wellbore is located in the target area; Filtering the gamma curve according to the seismic frequency range corresponding to the target target layer, and performing time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer; According to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, the seismic data corresponding to each target cube is subjected to frequency division processing to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each target cube; Determine a fusion ratio parameter corresponding to the target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target well; According to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, the target destination layer is characterized and processed to obtain a three-dimensional image corresponding to the target destination layer.

2. The method according to claim 1, characterized in that The step of performing time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target layer to obtain the main frequency of the low-frequency band, the main frequency of the middle-frequency band and the main frequency of the high-frequency band corresponding to the target layer includes: According to the seismic frequency range corresponding to the target target layer, determine the low frequency band frequency range, the mid frequency band frequency range and the high frequency band frequency range corresponding to the target target layer; Performing time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum; The frequency corresponding to the energy group within the low-frequency band frequency range in the gamma spectrum is determined as the low-frequency band main frequency corresponding to the target destination layer, the frequency corresponding to the energy group within the mid-frequency band frequency range in the gamma spectrum is determined as the mid-frequency band main frequency corresponding to the target destination layer, and the frequency corresponding to the energy group within the high-frequency band frequency range in the gamma spectrum is determined as the high-frequency band main frequency corresponding to the target destination layer.

3. The method according to claim 1, characterized in that Determining the fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, medium sand bodies and thick sand bodies in the target drilled well includes: Calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well; Dividing the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value; Dividing the number of the medium sand bodies by the total number of the sand bodies to obtain a second proportion value; Dividing the number of thick sand bodies by the total number of sand bodies to obtain a third ratio value; The first proportion value, the second proportion value and the third proportion value are combined into a fusion ratio parameter corresponding to the target destination layer.

4. The method according to claim 3, characterized in that The process of characterizing the target destination layer according to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data volume, the mid-frequency band frequency division data volume and the high-frequency band frequency division data volume corresponding to each target cube, so as to obtain a three-dimensional image corresponding to the target destination layer, includes: Determine the first red channel value corresponding to each target cube according to the low-band frequency division data volume corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube; Determine the first green channel value corresponding to each target cube according to the mid-band frequency division data volume corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube; Determine a first blue channel value corresponding to each target cube according to the high-frequency band frequency division data volume corresponding to each target cube, and calculate a second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube; According to the second red channel value, the second green channel value and the second blue channel value corresponding to each of the target cubes, the target object layer is depicted to obtain a three-dimensional image corresponding to the target object layer.

5. A sand body characterization device, characterized in that: The device comprises: An acquisition unit is used to acquire a seismic frequency range corresponding to a target target layer, seismic data corresponding to each target cube, a gamma curve corresponding to a target wellbore, and the number of thin sand bodies, medium sand bodies, and thick sand bodies in the target wellbore, wherein the target target layer is located below a target area, a plurality of target cubes constitute the target target layer, and the target wellbore is located in the target area; A first processing unit, configured to filter the gamma curve according to a seismic frequency range corresponding to the target layer; A second processing unit is used to perform time-frequency analysis on the gamma curve after filtering according to the seismic frequency range corresponding to the target target layer, so as to obtain the main frequency of the low frequency band, the main frequency of the middle frequency band and the main frequency of the high frequency band corresponding to the target target layer; A third processing unit is used to perform frequency division processing on the seismic data corresponding to each of the target cubes according to the low-frequency band main frequency, the middle-frequency band main frequency and the high-frequency band main frequency corresponding to the target target layer, so as to obtain a low-frequency band frequency division data volume, a middle-frequency band frequency division data volume and a high-frequency band frequency division data volume corresponding to each of the target cubes; A determination unit, used to determine a fusion ratio parameter corresponding to the target target layer according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well; The fourth processing unit is used to characterize the target destination layer according to the fusion ratio parameter corresponding to the target destination layer, the low-frequency band frequency division data body, the mid-frequency band frequency division data body and the high-frequency band frequency division data body corresponding to each of the target cubes, so as to obtain a three-dimensional image corresponding to the target destination layer.

6. The device according to claim 5, characterized in that The second processing unit comprises: A first determination module is used to determine a low-band frequency range, a mid-band frequency range, and a high-band frequency range corresponding to the target target layer according to the seismic frequency range corresponding to the target target layer; A processing module, used for performing time-frequency analysis on the gamma curve after filtering to obtain a gamma time-frequency spectrum; The second determination module is used to determine the frequency corresponding to the energy group located in the low-frequency band frequency range in the gamma time spectrum as the low-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the mid-frequency band frequency range in the gamma time spectrum as the mid-frequency band main frequency corresponding to the target destination layer, and determine the frequency corresponding to the energy group located in the high-frequency band frequency range in the gamma time spectrum as the high-frequency band main frequency corresponding to the target destination layer.

7. The device according to claim 5, characterized in that The determining unit is specifically used to calculate the total number of sand bodies in the target drilled well according to the number of thin sand bodies, the number of medium sand bodies and the number of thick sand bodies in the target drilled well; Dividing the number of thin sand bodies by the total number of sand bodies to obtain a first proportion value; Dividing the number of the medium sand bodies by the total number of the sand bodies to obtain a second proportion value; The number of thick sand bodies is divided by the total number of sand bodies to obtain a third proportion value; the first proportion value, the second proportion value and the third proportion value are combined into a fusion ratio parameter corresponding to the target layer.

8. The device according to claim 7, characterized in that The fourth processing unit is specifically used to determine the first red channel value corresponding to each target cube according to the low-band frequency division data volume corresponding to each target cube, and calculate the second red channel value corresponding to each target cube according to the third proportion value and the first red channel value corresponding to each target cube; Determine the first green channel value corresponding to each target cube according to the mid-band frequency division data volume corresponding to each target cube, and calculate the second green channel value corresponding to each target cube according to the second proportion value and the first green channel value corresponding to each target cube; Determine a first blue channel value corresponding to each target cube according to the high-frequency band frequency division data volume corresponding to each target cube, and calculate a second blue channel value corresponding to each target cube according to the first proportion value and the first blue channel value corresponding to each target cube; According to the second red channel value, the second green channel value and the second blue channel value corresponding to each of the target cubes, the target object layer is depicted to obtain a three-dimensional image corresponding to the target object layer.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the sand body characterization method according to any one of claims 1 to 4.

10. A sand body characterization device, characterized in that: The device includes a storage medium; and one or more processors, wherein the storage medium is coupled to the processor, and the processor is configured to execute program instructions stored in the storage medium; when the program instructions are executed, the sand body characterization method described in any one of claims 1 to 4 is executed.

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