A method for thermal history simulation of an areal planar sample and related apparatus

Abstract

The application discloses a thermal history simulation method and related device for a regional planar sample, and the method comprises the following steps: obtaining thermal history simulation results of samples at different positions on a target region; sampling the thermal history simulation results of the samples, and calculating temperature differences of temperature data of the samples at two adjacent sampling time points to obtain temperature difference data of the samples in each time period; performing spatial interpolation on the temperature difference data of all the samples in the same time period, and obtaining average temperature difference data of each time period based on the interpolated temperature data of each time period; superimposing the average temperature difference data of each time period on a reference temperature of the target region to obtain average temperature data of each time period; and sequentially connecting the average temperature data of each time period according to a time sequence to form a new thermal history curve, thereby obtaining a final thermal history simulation result of the target region, and improving the technical problem of low precision of the thermal history simulation result obtained by the prior art.

Description

Technical Field

[0001] This application relates to the field of geological technology, and in particular to a method and related apparatus for thermal history simulation of regional planar samples. Background Technology

[0002] Low-temperature thermochronology methods (such as fission track, U-Th / He, and Ar-Ar methods) have been widely used in geological research and energy exploration. Currently, for a region with relatively consistent tectonic geological features, existing technologies typically involve simply stacking and overlaying the thermal history simulation results of all samples to provide a comprehensive thermal history simulation result. This approach fails to fully utilize the thermal history simulation results of each sample, resulting in low accuracy of the final thermal history simulation result. Summary of the Invention

[0003] This application provides a method and related apparatus for simulating the thermal history of regional planar samples, which improves the technical problem of low accuracy in thermal history simulation results obtained by existing technologies.

[0004] In view of this, the first aspect of this application provides a method for simulating the thermal history of regional planar samples, comprising:

[0005] Obtain the thermal history simulation results of samples at different locations in the target region;

[0006] The thermal history simulation results of each sample are sampled, and the temperature difference of each sample at two adjacent sampling time points is calculated to obtain the temperature difference data of each sample in each time period.

[0007] Spatial interpolation is performed on the temperature difference data of all samples in the same time period, and the average temperature difference data of each time period is obtained based on the interpolated temperature data of each time period.

[0008] The average temperature difference data for each time period is superimposed on the reference temperature of the target area to obtain the average temperature data for each time period.

[0009] By sequentially connecting the average temperature data of each time period according to the time sequence, a new thermal history curve is formed, and the final thermal history simulation result of the target area is obtained.

[0010] Optionally, the step of spatially interpolating the temperature difference data of all samples within the same time period, and obtaining the average temperature difference data for each time period based on the interpolated temperature data for each time period, includes:

[0011] Spatial interpolation is performed on the temperature difference data of all samples in the same time period in the target plane space;

[0012] The average temperature difference data for each time period is obtained based on the interpolated temperature data for each time period and the area of ​​the target plane space.

[0013] The range of the target planar space is determined by the maximum and minimum latitude and longitude of the samples in the target region.

[0014] Optionally, the reference temperature of the target area is the average temperature of the surface of the target area or the surface temperature of the target area at sea level.

[0015] A second aspect of this application provides a thermal history simulation apparatus for regional planar samples, comprising:

[0016] The acquisition unit is used to acquire the thermal history simulation results of samples at different locations in the target area;

[0017] The calculation unit is used to sample the thermal history simulation results of each sample and calculate the temperature difference of each sample at two adjacent sampling time points to obtain the temperature difference data of each sample in each time period.

[0018] The interpolation unit is used to spatially interpolate the temperature difference data of all samples in the same time period, and to obtain the average temperature difference data of each time period based on the interpolated temperature data of each time period.

[0019] The overlay unit is used to overlay the average temperature difference data of each time period on the basis of the reference temperature of the target area to obtain the average temperature data of each time period.

[0020] The connection unit is used to connect the average temperature data of each time period in chronological order to form a new thermal history curve, thereby obtaining the final thermal history simulation result of the target area.

[0021] Optionally, the interpolation unit is specifically used for:

[0022] Spatial interpolation is performed on the temperature difference data of all samples in the same time period in the target plane space;

[0023] The average temperature difference data for each time period is obtained based on the interpolated temperature data for each time period and the area of ​​the target plane space.

[0024] The range of the target planar space is determined by the maximum and minimum latitude and longitude of the samples in the target region.

[0025] Optionally, the reference temperature of the target area is the average temperature of the surface of the target area or the surface temperature of the target area at sea level.

[0026] A third aspect of this application provides a thermal history simulation device for regional planar samples, the device including a processor and a memory;

[0027] The memory is used to store program code and transmit the program code to the processor;

[0028] The processor is configured to execute, according to instructions in the program code, any of the thermal history simulation methods for regional planar samples described in the first aspect.

[0029] The fourth aspect provides a computer-readable storage medium for storing program code that, when executed by a processor, implements the thermal history simulation method for regional planar samples according to any one of the first aspects.

[0030] As can be seen from the above technical solutions, this application has the following advantages:

[0031] This application provides a method for simulating the thermal history of regional planar samples, comprising: acquiring the thermal history simulation results of samples at different locations in a target region; sampling the thermal history simulation results of each sample and calculating the temperature difference between the temperature data of each sample at two adjacent sampling time points to obtain the temperature difference data of each sample in each time period; spatially interpolating the temperature difference data of all samples in the same time period, and obtaining the average temperature difference data of each time period based on the interpolated temperature data of each time period; superimposing the average temperature difference data of each time period on the reference temperature of the target region to obtain the average temperature data of each time period; and sequentially connecting the average temperature data of each time period according to the time sequence to form a new thermal history curve to obtain the final thermal history simulation result of the target region.

[0032] In this application, spatial interpolation is performed on temperature difference data within the same time period. Based on the interpolated temperature data for each time period, the average temperature difference data for each time period is obtained. Then, the average temperature data for each time period is obtained by overlaying the reference temperature of the target area to obtain the final thermal history simulation result. By performing spatial interpolation on temperature difference data within the same time period, the spatial distribution characteristics of each sample are incorporated into the calculation process of the average thermal history. This takes into account the representativeness of the spatial location of the sample in the local area as well as the changes in the overall space, thereby improving the accuracy of the thermal history simulation result and addressing the technical problem of low accuracy in thermal history simulation results obtained by existing technologies. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 A schematic flowchart of a method for simulating the thermal history of a regional planar sample provided in this application embodiment;

[0035] Figure 2 A distribution map of samples in a certain region provided for an embodiment of this application;

[0036] Figure 3 Provided for the embodiments of this application Figure 2 Temperature difference contour map obtained after spatial interpolation of temperature difference data for each sample in the region;

[0037] Figure 4 A schematic diagram illustrating the process of obtaining thermal history simulation results for a regional planar sample provided in this application embodiment;

[0038] Figure 5 This is a schematic diagram of a thermal history simulation device for a regional planar sample provided in an embodiment of this application. Detailed Implementation

[0039] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0040] For easier understanding, please refer to Figure 1 This application provides a method for simulating the thermal history of a regional planar sample, comprising:

[0041] Step 101: Obtain the thermal history simulation results of samples at different locations in the target area.

[0042] Individual samples were acquired at different locations within the target area to be tested. Then, thermal history simulations were performed on each individual sample using a low-temperature thermochronology method. The simulation results for each sample were obtained as a time-temperature thermal history curve. The specific thermal history simulation process is existing technology and will not be elaborated upon here.

[0043] Step 102: Sample the thermal history simulation results of each sample and calculate the temperature difference of each sample at two adjacent sampling time points to obtain the temperature difference data of each sample in each time period.

[0044] The thermal history simulation results of each sample are sampled, and the temperature difference between the temperature data of each sample at two adjacent sampling time points is calculated to obtain the temperature difference data of each sample in each time period. For example, when the sampling time point t is obtained... 100 t 99 、…、t i After obtaining the temperature data T corresponding to t0, ..., t0 (i.e., the sampling time interval is 1 Ma), calculate the temperature difference between two adjacent sampling time points.

[0045] Step 103: Spatial interpolation is performed on the temperature difference data of all samples in the same time period, and the average temperature difference data of each time period is obtained based on the interpolated temperature data of each time period.

[0046] After obtaining the temperature difference data of each sample at each time period, spatial interpolation is performed on the temperature difference data of all samples at the same time period. Then, the average temperature difference data of each time period is obtained based on the interpolated temperature data of each time period. Specifically, spatial interpolation is performed on the temperature difference data of all samples at the same time period in the target plane space; the average temperature difference data of each time period is obtained based on the interpolated temperature data of each time period and the area of ​​the target plane space; wherein, the range of the target plane space is determined by the maximum and minimum latitude and longitude values ​​of the samples in the target region.

[0047] The temperature difference data of each sample at different time periods is obtained and placed into a target plane space for spatial interpolation calculation. The range of the target plane space is determined based on the latitude and longitude range of all samples in the target area. The maximum and minimum longitudes, maximum and minimum latitudes of all samples can be selected as the boundaries of the target plane space. Kriging interpolation or other spatial interpolation methods can be used. The temperature difference data of all samples within the same time period are spatially interpolated, and the interpolated temperature difference data for each time period corresponds to a volume. Then, the average temperature difference data for each time period is obtained by dividing the volume corresponding to each time period by the area of ​​the target plane space. This average temperature difference data is the average temperature difference of all samples within that time period. It is understandable that spatial interpolation functions can be implemented using software such as Surfer and Matlab.

[0048] For example, suppose the distribution of samples in a certain region is as follows: Figure 2 As shown in Table 1, the calculated temperature difference data for each sample in this region over a certain time period are presented. The boundary range of this region is 0–100 km. The results obtained through Kriging interpolation are as follows: Figure 3 The contour lines showing the temperature difference yielded a volume of 240,558.80 (°C·km²). 2 Then divide by the area of ​​the region, 10000 (km²). 2 The average temperature difference obtained was 24 (°C), which is different from the arithmetic mean of all temperature differences of 25 (°C) calculated directly. The key difference is that the embodiment of this application incorporates the influence of regional distribution, which reduces the error in calculating the average value caused by the local concentration of the sample. This is especially advantageous when the amount of data is large and obviously concentrated.

[0049] Table 1 Temperature difference data

[0050]

[0051]

[0052] This application embodiment considers that if the final thermal history simulation result is obtained by directly averaging the thermal history simulation results of all samples, the local features may mask the overall features when some samples are too concentrated, thus affecting the accuracy of the final thermal history simulation result. To improve this problem, this application embodiment performs spatial interpolation on the temperature difference data of the same time period, incorporating the spatial distribution characteristics of each sample into the calculation process of the average thermal history. This takes into account the representativeness of the spatial location of the sample in the local area as well as the changes in the overall space, thereby improving the technical problem of low accuracy in thermal history simulation results obtained by simply averaging.

[0053] Step 104: Based on the baseline temperature of the target area, superimpose the average temperature difference data of each time period to obtain the average temperature data of each time period.

[0054] The average surface temperature of the target area or the surface temperature at sea level in the target area is used as the reference temperature for the target area. The average temperature difference data of each time period is superimposed on the reference temperature of the target area to obtain the average temperature data of each time period.

[0055] Step 105: Connect the average temperature data of each time period in chronological order to form a new thermal history curve, and obtain the final thermal history simulation result of the target area.

[0056] By sequentially connecting the average temperature data from each time period, a new thermal history curve is formed, yielding the final thermal history simulation result for the target region. Assume the thermal history simulation results for five different samples in a target region A are as follows: Figure 4 As shown in the left figure, after performing the above processing, the final thermal history simulation result of target region A is as follows. Figure 4 As shown in the diagram on the right.

[0057] In this application, spatial interpolation is performed on temperature difference data within the same time period. Based on the interpolated temperature data for each time period, the average temperature difference data for each time period is obtained. Then, the average temperature data for each time period is obtained by overlaying the reference temperature of the target area to obtain the final thermal history simulation result. By performing spatial interpolation on temperature difference data within the same time period, the spatial distribution characteristics of each sample are incorporated into the calculation process of the average thermal history. This takes into account the representativeness of the spatial location of the sample in the local area as well as the changes in the overall space, thereby improving the accuracy of the thermal history simulation result and addressing the technical problem of low accuracy in thermal history simulation results obtained by existing technologies.

[0058] The above is an embodiment of a thermal history simulation method for regional planar samples provided in this application. The following is an embodiment of a thermal history simulation device for regional planar samples provided in this application.

[0059] Please refer to Figure 5 This application provides an embodiment of a thermal history simulation device for regional planar samples, comprising:

[0060] The acquisition unit is used to acquire the thermal history simulation results of samples at different locations in the target area;

[0061] The calculation unit is used to sample the thermal history simulation results of each sample and calculate the temperature difference of each sample at two adjacent sampling time points to obtain the temperature difference data of each sample in each time period.

[0062] The interpolation unit is used to spatially interpolate the temperature difference data of all samples in the same time period, and obtain the average temperature difference data of each time period based on the interpolated temperature data of each time period.

[0063] The overlay unit is used to overlay the average temperature difference data of each time period on the basis of the reference temperature of the target area to obtain the average temperature data of each time period.

[0064] The connection unit is used to connect the average temperature data of each time period in chronological order to form a new thermal history curve, thereby obtaining the final thermal history simulation result of the target area.

[0065] As a further improvement, the interpolation unit is specifically used for:

[0066] Spatial interpolation is performed on the temperature difference data of all samples over the same time period in the target plane space;

[0067] The average temperature difference data for each time period is obtained based on the interpolated temperature data for each time period and the area of ​​the target plane space.

[0068] The range of the target planar space is determined by the maximum and minimum latitude and longitude of the samples in the target region.

[0069] As a further improvement, the reference temperature for the target area is the average surface temperature of the target area or the surface temperature at sea level in the target area.

[0070] In this embodiment, spatial interpolation is performed on the temperature difference data within the same time period. The average temperature difference data for each time period is obtained based on the interpolated temperature data for each time period. Then, the average temperature data for each time period is obtained by overlaying the reference temperature of the target area to obtain the final thermal history simulation result. By performing spatial interpolation on the temperature difference data within the same time period, the spatial distribution characteristics of each sample are incorporated into the calculation process of the average thermal history. This takes into account the representativeness of the spatial location of the sample in the local area as well as the changes in the overall space, thereby improving the accuracy of the thermal history simulation result and addressing the technical problem of low accuracy in the thermal history simulation results obtained by the prior art.

[0071] This application embodiment also provides a thermal history simulation device for regional planar samples, the device including a processor and a memory;

[0072] The memory is used to store program code and transfer the program code to the processor;

[0073] The processor is used to execute the thermal history simulation method for regional planar samples in the foregoing method embodiments according to the instructions in the program code.

[0074] This application also provides a computer-readable storage medium for storing program code, which, when executed by a processor, implements the thermal history simulation method for regional planar samples in the foregoing method embodiments.

[0075] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and unit can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0076] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0077] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0078] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0079] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of this application through a computer device (which may be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0082] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for simulating the thermal history of regional planar samples, characterized in that, include: Obtain the thermal history simulation results of samples at different locations in the target region; The thermal history simulation results of each sample are sampled, and the temperature difference of each sample at two adjacent sampling time points is calculated to obtain the temperature difference data of each sample in each time period. Spatial interpolation is performed on the temperature difference data of all samples within the same time period. The average temperature difference data for each time period is then obtained based on the interpolated temperature data, including: Spatial interpolation is performed on the temperature difference data of all samples in the same time period in the target plane space; the volume corresponding to the interpolated temperature difference data of each time period is obtained, and the average temperature difference data of each time period is obtained by dividing the volume corresponding to each time period by the area of ​​the target plane space; wherein, the range of the target plane space is determined by the maximum and minimum values ​​of the latitude and longitude of the samples in the target region. The average temperature difference data for each time period is superimposed on the baseline temperature of the target area to obtain the average temperature data for each time period; the baseline temperature of the target area is the average surface temperature of the target area or the surface temperature of the target area at sea level. By sequentially connecting the average temperature data of each time period according to the time sequence, a new thermal history curve is formed, and the final thermal history simulation result of the target area is obtained.

2. A thermal history simulation device for regional planar samples, characterized in that, include: The acquisition unit is used to acquire the thermal history simulation results of samples at different locations in the target area; The calculation unit is used to sample the thermal history simulation results of each sample and calculate the temperature difference of each sample at two adjacent sampling time points to obtain the temperature difference data of each sample in each time period. The interpolation unit is used to spatially interpolate the temperature difference data of all samples in the same time period, and to obtain the average temperature difference data of each time period based on the interpolated temperature data of each time period. The interpolation unit is specifically used for: Spatial interpolation is performed on the temperature difference data of all samples in the same time period in the target plane space; The volume corresponding to the interpolated temperature difference data for each time period is obtained, and the average temperature difference data for each time period is obtained by dividing the volume corresponding to each time period by the area of ​​the target plane space; wherein, the range of the target plane space is determined by the maximum and minimum latitude and longitude of the sample in the target region; The overlay unit is used to overlay the average temperature difference data of each time period onto the reference temperature of the target area to obtain the average temperature data of each time period; the reference temperature of the target area is the average temperature of the surface of the target area or the surface temperature at sea level of the target area. The connection unit is used to connect the average temperature data of each time period in chronological order to form a new thermal history curve, thereby obtaining the final thermal history simulation result of the target area.

3. A thermal history simulation device for regional planar samples, characterized in that, The device includes a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the thermal history simulation method for regional planar samples as described in claim 1, according to instructions in the program code.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code that, when executed by a processor, implements the thermal history simulation method for regional planar samples as described in claim 1.

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