A method, system and device for selecting paleo-geothermal gradient based on vertical thermal history simulation

Abstract

The present invention relates to a method, system and device for selecting paleo-geothermal gradient based on vertical thermal history simulation, the method comprising obtaining N thermal history curves and paleo-geothermal gradient numerical range of M samples and top samples of the geology to be simulated on a vertical section; establishing N groups of thermal history curve sets for each paleo-geothermal gradient integer value; using low temperature chronology method simulation results for the N groups of thermal history curve sets to calculate the goodness of fit value of each group of thermal history curve sets, and obtaining N goodness of fit values; comparing each goodness of fit value with a goodness of fit threshold, screening out the goodness of fit value greater than the goodness of fit threshold, and obtaining a thermal history curve set; screening out the thermal history curve with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from all thermal history curve sets within the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient. The best paleo-geothermal gradient for the geology to be simulated is obtained by the method, and thermal history simulation is performed based on the best paleo-geothermal gradient, and the thermal history simulation result obtained has high accuracy.

Description

Technical Field

[0001] The present invention relates to the field of geological technology, and in particular to a method, system and equipment for selecting paleo-geothermal gradient based on vertical thermal history simulation. Background Art

[0002] Low-temperature thermal history based on chronological data has been widely used in the field of geological exploration in recent years. In particular, thermal history simulation of vertical sections has been favored by geologists due to its high accuracy and strong credibility. Therefore, thermal history simulation of vertical sections has broad application prospects.

[0003] Paleo-geothermal gradient is also an essential parameter in the fields of geological research and petroleum exploration. The recovery of this important parameter has always been one of the focal issues in related research. Paleo-geothermal gradient is currently used to simulate the thermal history of vertical profiles, but the selection of paleo-geothermal gradient values ​​is estimated, so the accuracy of the results of vertical profile thermal history simulation using paleo-geothermal gradient is not high. Summary of the invention

[0004] The embodiments of the present invention provide a method, system and device for selecting paleo-geothermal gradient based on vertical thermal history simulation, which are used to solve the technical problem that the results of thermal history simulation are not accurate when using paleo-geothermal gradient to realize vertical profile thermal history simulation.

[0005] In order to achieve the above purpose, the embodiment of the present invention provides the following technical solutions:

[0006] A method for selecting paleo-geothermal gradient based on vertical thermal history simulation includes the following steps:

[0007] Obtain M samples of the geology to be simulated on the vertical section, N thermal history curves of the top sample and the value range of paleo-geothermal gradient, where the M samples include the top sample and M-1 common samples;

[0008] N sets of thermal history curves are established for each integer value of paleo-geothermal gradient in the numerical range of paleo-geothermal gradient;

[0009] For N groups of thermal history curve sets corresponding to each paleo-geothermal gradient integer value, the goodness-of-fit value of each group of thermal history curve sets is calculated using the simulation results of the low-temperature chronology method to obtain N goodness-of-fit values; and each goodness-of-fit value is compared with a goodness-of-fit threshold, and K groups of thermal history curve sets with a goodness-of-fit threshold value are selected from the N goodness-of-fit values ​​to obtain a thermal history curve set;

[0010] Among all the thermal history curves in the numerical range of paleo-geothermal gradient, the one with the largest number of thermal history curves corresponding to the integer value of paleo-geothermal gradient is selected as the best paleo-geothermal gradient;

[0011] Wherein, N is a natural number greater than 500, M is a natural number greater than 1, and K is a natural number.

[0012] Preferably, N sets of thermal history curves are established for each integer value of paleo-geothermal gradient, including:

[0013] Using each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and obtaining the interval distance between each common sample and the top sample;

[0014] The thermal history temperature difference of each common sample is obtained by multiplying the integer value of paleo-geothermal gradient by the interval distance.

[0015] Taking the thermal history temperature difference corresponding to each common sample as the unit of translation of the reference thermal history curve, a first thermal history curve corresponding to the common sample is obtained;

[0016] The M-1 first thermal history curves corresponding to the M-1 common samples and the reference thermal history curve of the top sample constitute a set of thermal history curves.

[0017] Preferably, the paleo-geothermal gradient value ranges from 15°C / km to 45°C / km.

[0018] Preferably, the method for selecting paleogeothermal gradient based on vertical thermal history simulation includes: comparing the goodness of fit value corresponding to each paleogeothermal gradient integer value with B different goodness of fit thresholds, respectively, to obtain a set of thermal history curves corresponding to different goodness of fit thresholds; screening out the set of all thermal history curves within the paleogeothermal gradient numerical range with the largest number of thermal history curves corresponding to the paleogeothermal gradient integer value as the optimal paleogeothermal gradient, wherein B is a natural number greater than 1.

[0019] Preferably, the thermal history curves with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient are selected from all thermal history curve sets within the paleo-geothermal gradient numerical range as the optimal paleo-geothermal gradient, including:

[0020] If all the integer values ​​of paleo-geothermal gradients are within the same goodness-of-fit threshold, at least two thermal history curve sets with the same number of thermal history curves are selected and recorded as the first thermal history curve set and the second thermal history curve set;

[0021] Obtaining a first paleo-geothermal gradient value and a second paleo-geothermal gradient value corresponding to the first thermal history curve set and the second thermal history curve set;

[0022] In the goodness of fit threshold of the next level corresponding to the goodness of fit threshold, the paleogenetic gradient value with the largest number of thermal history curves is selected from the first paleogenetic gradient value and the second paleogenetic gradient value as the optimal paleogenetic gradient.

[0023] Preferably, the method for selecting paleo-geothermal gradient based on vertical thermal history simulation includes:

[0024] Obtain a set of thermal history curves corresponding to the best paleo-geothermal gradient;

[0025] At the same time point, the average of each data of all thermal history curves of the thermal history curve set is calculated to obtain the temperature mean of each data; the temperature means of all the data are connected into a curve in chronological order, and the curve is used as the thermal history simulation result of the geology to be simulated.

[0026] Preferably, obtaining the mean value of each data of all thermal history curves of the thermal history curve set comprises:

[0027] Dividing each thermal history curve into A equal parts, and averaging the temperatures at the same time point in all thermal history curves after the thermal history curves are divided into A equal parts to obtain A temperature averages;

[0028] Connect A temperature means in chronological order to form a curve, which is used as the thermal history simulation result of the geology to be simulated;

[0029] Wherein, A is a natural number greater than 50.

[0030] The present invention also provides a paleo-geothermal gradient selection system based on vertical thermal history simulation, comprising a data acquisition module, a first processing module, a second processing module and a screening module;

[0031] The data acquisition module is used to obtain M samples of the geology to be simulated on the vertical section, N thermal history curves of the top sample and the value range of the paleo-geothermal gradient, where the M samples include the top sample and M-1 ordinary samples;

[0032] The first processing module is used to establish N sets of thermal history curves for each integer value of the paleo-geothermal gradient in the paleo-geothermal gradient numerical range;

[0033] The second processing module is used to calculate the goodness of fit value of each set of thermal history curves using the low temperature chronology method simulation results for the N sets of thermal history curves corresponding to each paleo-geothermal gradient integer value, to obtain N goodness of fit values; and to compare each goodness of fit value with a goodness of fit threshold, to select K sets of thermal history curves with a value greater than the goodness of fit threshold from the N goodness of fit values, to obtain a set of thermal history curves;

[0034] The screening module is used to screen out the thermal history curves with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from all thermal history curves in the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient;

[0035] Wherein, N is a natural number greater than 500, M is a natural number greater than 1, and K is a natural number.

[0036] Preferably, the first processing module includes an acquisition submodule, a difference submodule, a translation submodule and a construction submodule;

[0037] The acquisition submodule is used to use each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and to acquire the interval between each common sample and the top sample;

[0038] The difference submodule is used to multiply the paleo-geothermal gradient integer value by the interval distance to obtain the thermal history temperature difference of each common sample;

[0039] The translation submodule is used to use the thermal history temperature difference corresponding to each common sample as a unit for translation of the reference thermal history curve to obtain a first thermal history curve corresponding to the common sample;

[0040] The construction submodule is used to form a set of thermal history curves by combining M-1 first thermal history curves corresponding to M-1 common samples and the reference thermal history curve of the top sample.

[0041] Preferably, the paleo-geothermal gradient value ranges from 15°C / km to 45°C / km.

[0042] The present invention also provides a device for selecting paleo-geothermal gradient based on vertical thermal history simulation, comprising a processor and a memory;

[0043] The memory is used to store program codes and transmit the program codes to the processor;

[0044] The processor is used to execute the above-mentioned method of selecting paleo-geothermal gradient based on vertical thermal history simulation according to the instructions in the program code.

[0045] It can be seen from the above technical scheme that the embodiments of the present invention have the following advantages: the method, system and equipment for selecting paleo-geothermal gradient based on vertical thermal history simulation, the method comprising: obtaining N thermal history curves of M samples and top samples on the vertical section of the geology to be simulated and the paleo-geothermal gradient numerical range, the M samples including the top sample and M-1 ordinary samples; establishing N groups of thermal history curve sets for each paleo-geothermal gradient integer value in the paleo-geothermal gradient numerical range; using the low-temperature chronology method to simulate the N groups of thermal history curve sets corresponding to each paleo-geothermal gradient integer value to calculate the goodness of fit value of each group of thermal history curve sets, and obtain N goodness of fit values; and comparing each goodness of fit value with the goodness of fit threshold, selecting K groups of thermal history curve sets greater than the goodness of fit threshold from the N goodness of fit values, and obtaining a thermal history curve set; selecting the one with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from all thermal history curve sets in the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient. The method of selecting paleo-geothermal gradient based on vertical thermal history simulation is used to obtain the best paleo-geothermal gradient for the geology to be simulated. Thermal history simulation is performed based on the best paleo-geothermal gradient, and the thermal history simulation results obtained are highly accurate, which solves the technical problem of low accuracy of thermal history simulation results when existing vertical profile thermal history simulation is achieved using paleo-geothermal gradient. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0047] Figure 1 A flowchart of the steps of the method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to an embodiment of the present invention;

[0048] Figure 2 A distribution diagram of the paleo-geothermal gradient and the number of thermal history curves for the method of selecting paleo-geothermal gradient based on vertical thermal history simulation described in an embodiment of the present invention;

[0049] Figure 3 The method of selecting paleo-geothermal gradient based on vertical thermal history simulation to output thermal history simulation diagram according to the embodiment of the present invention;

[0050] Figure 4 This is a framework diagram of a paleo-geothermal gradient system selected based on vertical thermal history simulation as described in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The embodiments of the present application provide a method, system and device for selecting paleo-geothermal gradient based on vertical thermal history simulation, which is used to solve the technical problem that the results of thermal history simulation are not accurate when using paleo-geothermal gradient to realize vertical profile thermal history simulation.

[0053] Embodiment 1:

[0054] Figure 1 This is a flowchart of the steps of the method for selecting paleo-geothermal gradient based on vertical thermal history simulation described in an embodiment of the present invention.

[0055] like Figure 1 As shown, an embodiment of the present invention provides a method for selecting paleo-geothermal gradient based on vertical thermal history simulation, comprising the following steps:

[0056] S1. Obtain M samples of the geological structure to be simulated on the vertical section, N thermal history curves of the top sample, and the value range of paleo-geothermal gradient, where the M samples include the top sample and M-1 common samples, where N is a natural number greater than 500 and M is a natural number greater than 1.

[0057] It should be noted that the main purpose is to obtain M samples of the geology to be simulated on the vertical section. Based on the top sample, the Monte Carlo method is used to randomly search for a sufficient number of thermal history curves of the top sample. The number of thermal history curves is N, and the value of N is not less than 10,000. The second is to estimate the numerical range of the paleogeothermal gradient of the geology to be simulated, and the numerical range of the paleogeothermal gradient is 15°C / km to 45°C / km; in other embodiments, the numerical range of the paleogeothermal gradient can be defined according to the needs of the geology to be simulated. Among them, the Monte Carlo random search method assumes that the curve is a common testing technology in geology and will not be described in detail here.

[0058] In the embodiment of the present invention, the thermal history curve, sample, and paleo-geothermal gradient numerical range obtained in step S1 are mainly used to provide data for subsequent steps.

[0059] S2. For each integer value of paleo-geothermal gradient in the numerical range of paleo-geothermal gradient, N sets of thermal history curves are established.

[0060] It should be noted that N sets of thermal history curves are mainly constructed for each integer value of the paleo-geothermal gradient in the numerical range of the paleo-geothermal gradient obtained in step S1. For example, the integer values ​​of the paleo-geothermal gradient are 15, 16, 17...45, and each integer value of the paleo-geothermal gradient constructs N sets of thermal history curves.

[0061] S3. For N sets of thermal history curves corresponding to each integer value of paleo-geothermal gradient, the goodness of fit value of each set of thermal history curves is calculated by using the simulation results of the low-temperature chronology method, and N goodness of fit values ​​are obtained; and each goodness of fit value is compared with the goodness of fit threshold, and K sets of thermal history curves with values ​​greater than the goodness of fit threshold are selected from the N goodness of fit values ​​to obtain a set of thermal history curves. Where K is a natural number greater than 5.

[0062] It should be noted that the N sets of thermal history curves corresponding to each paleo-geothermal gradient integer value obtained in step S2 are mainly simulated by using the low-temperature chronology method to calculate the goodness of fit value of each set of thermal history curves, and N goodness of fit values ​​are obtained. It is determined whether each goodness of fit value is greater than the goodness of fit threshold value. If the goodness of fit value is greater than the goodness of fit threshold value, then a set of thermal history curves corresponding to the goodness of fit value meets the screening condition, and the K sets of thermal history curves obtained by screening constitute the thermal history curve set of the integer value of the paleo-geothermal gradient. In this embodiment, the existing low-temperature chronology method for calculating the goodness of fit value is a relatively mature technology in this field, such as the two published patent documents with announcement numbers CN112685909A and CN113722917A.

[0063] In the embodiment of the present application, the goodness-of-fit value corresponding to each paleo-geothermal gradient integer value is compared with B different goodness-of-fit thresholds.

[0064] It should be noted that if the integer value of the paleo-geothermal gradient is 15, the goodness-of-fit values ​​calculated for each set of thermal history curves are compared and screened with the goodness-of-fit thresholds of 0.001, 0.01, 0.05, and 0.5; if the integer value of the paleo-geothermal gradient is 16, the goodness-of-fit values ​​calculated for each set of thermal history curves are compared and screened with the goodness-of-fit thresholds of 0.001, 0.01, 0.05, and 0.5. Therefore, in this embodiment, the goodness-of-fit thresholds for screening thermal history curves with different paleo-geothermal gradient integer values ​​are the same, and the goodness-of-fit thresholds can be set to a hierarchical ladder within the numerical range of the paleo-geothermal gradient, such as A goodness-of-fit thresholds include 0.001, 0.01, 0.05, and 0.5. Among them, the goodness-of-fit threshold can be set according to actual needs.

[0065] In an embodiment of the present application, the goodness-of-fit value corresponding to each paleo-geothermal gradient integer value is compared with B different goodness-of-fit thresholds to obtain a set of thermal history curves corresponding to different goodness-of-fit thresholds, that is, B sets of thermal history curves are obtained after screening each paleo-geothermal gradient integer value.

[0066] In an embodiment of the present application, if all the paleo-geothermal gradient integer values ​​do not screen out a thermal history curve set with the same number of thermal history curves under the same goodness-of-fit threshold, the thermal history curve set with the largest number of corresponding thermal history curves is screened out from all the thermal history curve sets within the paleo-geothermal gradient numerical range as the optimal thermal history curve set, and the paleo-geothermal gradient integer value corresponding to the optimal thermal history curve set is taken as the optimal paleo-geothermal gradient.

[0067] In an embodiment of the present application, if all paleogeothermal gradient integer values ​​are within the same goodness of fit threshold, at least two thermal history curve sets with the same number of thermal history curves are screened out, and the two thermal history curve sets are recorded as a first thermal history curve set and a second thermal history curve set; the first paleogeothermal gradient value and the second paleogeothermal gradient value corresponding to the first thermal history curve set and the second thermal history curve set are obtained; in the goodness of fit threshold of the next level corresponding to the goodness of fit threshold, the paleogeothermal gradient value with the largest number of thermal history curves is screened out from the first paleogeothermal gradient value and the second paleogeothermal gradient value as the optimal paleogeothermal gradient.

[0068] It should be noted that the B different goodness of fit thresholds are different goodness of fit thresholds set according to priority (e.g., the lowest level is 0.001, followed by 0.01, 0.05, and the highest level is 0.5). If all paleo-geothermal gradient integer values ​​do not screen out paleo-geothermal gradient integer values ​​with the same number of thermal history curves under the same goodness of fit threshold, then the thermal history curve set with the largest number of thermal history curves is screened out from all thermal history curve sets of all paleo-geothermal gradient integer values, and the paleo-geothermal gradient integer value corresponding to the thermal history curve set is used as the best paleo-geothermal gradient. If more than one paleo-geothermal gradient integer value is screened out in the highest level goodness of fit threshold to obtain the thermal history curve set with the largest number of thermal history curves, these paleo-geothermal gradient integer values ​​are compared in the next level goodness of fit threshold corresponding to the goodness of fit threshold (e.g., the goodness of fit threshold is 0.05, and the next level goodness of fit threshold is 0.01), and the number of thermal history curves in the thermal history curve set is compared, and the paleo-geothermal gradient integer value corresponding to the thermal history curve set with the largest number of thermal history curves is used as the best paleo-geothermal gradient. If there is still more than one paleo-geothermal gradient integer value corresponding to the thermal history curve set with the largest number of thermal history curves, the number of thermal history curves obtained under the condition of a goodness of fit threshold (such as 0.001) lower than the next goodness of fit threshold is compared, and so on, until only one optimal paleo-geothermal gradient value is obtained, thus obtaining the optimal paleo-geothermal gradient.

[0069] Figure 2 This is a distribution diagram of the paleo-geothermal gradient and the number of thermal history curves according to the paleo-geothermal gradient selection method based on vertical thermal history simulation described in an embodiment of the present invention.

[0070] In the embodiment of the present application, the thermal history curve set selected from each paleo-geothermal gradient integer value is plotted into a paleo-geothermal gradient-thermal history curve quantity distribution diagram, such as Figure 2 shown.

[0071] S4. Select the thermal history curve set with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from the set of all thermal history curves within the numerical range of the paleo-geothermal gradient as the optimal paleo-geothermal gradient.

[0072] It should be noted that the paleo-geothermal gradient with the highest goodness-of-fit threshold is selected mainly according to the principle of highest threshold priority, that is: the thermal history curve set with the largest number of thermal history curves is selected from the paleo-geothermal gradient numerical range as the optimal thermal history curve set, and the paleo-geothermal gradient corresponding to the optimal thermal history curve set is taken as the optimal paleo-geothermal gradient.

[0073] In the embodiment of the present application, the paleo-geothermal gradient method based on vertical thermal history simulation is used to obtain the paleo-geothermal gradient with the best geology to be simulated, and thermal history simulation is performed based on the best paleo-geothermal gradient, so that the thermal history simulation result obtained has high accuracy.

[0074] The invention provides a method for selecting paleo-geothermal gradient based on vertical thermal history simulation, comprising: obtaining M samples of geological material to be simulated on a vertical section, N thermal history curves of top samples and a paleo-geothermal gradient numerical range, wherein the M samples include top samples and M-1 common samples; establishing N groups of thermal history curve sets for each paleo-geothermal gradient integer value in the paleo-geothermal gradient numerical range; using a low-temperature chronology method to simulate the N groups of thermal history curve sets corresponding to each paleo-geothermal gradient integer value and calculating the goodness of fit value of each group of thermal history curve sets to obtain N goodness of fit values; and comparing each goodness of fit value with a goodness of fit threshold, selecting K groups of thermal history curve sets with values ​​greater than the goodness of fit threshold from the N goodness of fit values, and obtaining a thermal history curve set; selecting the one with the largest number of thermal history curves corresponding to the paleo-geothermal gradient integer value from all thermal history curve sets in the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient. The method of selecting paleo-geothermal gradient based on vertical thermal history simulation is used to obtain the best paleo-geothermal gradient for the geology to be simulated. Thermal history simulation is performed based on the best paleo-geothermal gradient, and the thermal history simulation results obtained are highly accurate, which solves the technical problem of low accuracy of thermal history simulation results when existing vertical profile thermal history simulation is achieved using paleo-geothermal gradient.

[0075] In one embodiment of the present invention, N sets of thermal history curves are established for each integer value of paleo-geothermal gradient, including:

[0076] Taking each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and obtaining the interval distance between each common sample and the top sample;

[0077] The thermal history temperature difference of each common sample is obtained by multiplying the integer value of paleo-geothermal gradient by the interval distance.

[0078] The thermal history temperature difference corresponding to each common sample is used as the unit of translation of the reference thermal history curve to obtain the first thermal history curve corresponding to the common sample;

[0079] The M-1 first thermal history curves corresponding to the M-1 common samples and the reference thermal history curve of the top sample constitute a set of thermal history curves.

[0080] It should be noted that for each integer value of paleo-geothermal gradient, N sets of thermal history curves of the geological vertical section to be simulated are established. Each set of thermal history curves includes M thermal history curves, of which the N thermal history curves of the top sample are used as the reference thermal history curves, and the thermal history temperature difference of each common sample is used as the reference thermal history curve translation unit or interval to obtain the corresponding first thermal history curve of each common sample. The first thermal history curves of M-1 common samples and the reference thermal history curve of the top sample constitute a set of thermal history curves.

[0081] In the embodiment of the present application, the method of selecting the ancient geothermal gradient based on the vertical thermal history simulation can also use the present geothermal of M-1 ordinary samples as the unit of the translation of the benchmark thermal history curve. If the vertical section is a sample obtained by sampling from the top of the mountain, if the sample on the vertical section is obtained by open-air collection, its present temperature value should be calculated with reference to the vertical temperature gradient of the atmosphere, and the present geothermal temperature of the sample = the surface temperature value at the sea level of the area * the vertical temperature gradient of the atmosphere. If the sample on the vertical section is obtained by drilling sampling, the present temperature of the sample = the wellhead temperature * the present geothermal gradient. The present geothermal gradient, the vertical temperature gradient of the atmosphere, the surface temperature value, and the wellhead temperature can all be obtained by measurement.

[0082] In one embodiment of the present application, the method for selecting paleo-geothermal gradient based on vertical thermal history simulation includes:

[0083] Obtain a set of thermal history curves corresponding to the best paleo-geothermal gradient;

[0084] At the same time point, the average of each data of all thermal history curves in the thermal history curve set is calculated to obtain the temperature mean of each data; the temperature means of all data are connected into a curve in chronological order, and the curve is used as the thermal history simulation result of the geology to be simulated.

[0085] Figure 3 The paleo-geothermal gradient method is selected based on vertical thermal history simulation to output a thermal history simulation diagram as described in an embodiment of the present invention.

[0086] It should be noted that if Figure 2As shown in Figure 2, according to the frequency of thermal history curves (ordinate) corresponding to the paleo-geothermal gradient (abscissa), the paleo-geothermal gradient of 42°C / km is determined to be the optimal paleo-geothermal gradient, and the corresponding thermal history simulation result is the final thermal history simulation result, as shown in Figure 2. Figure 3 As shown,

[0087] The average of each data of all thermal history curves in the thermal history curve set includes:

[0088] Divide each thermal history curve into A equal parts, and calculate the average of the temperatures at the same time point in all thermal history curves after dividing into A equal parts to obtain A temperature averages;

[0089] Connect A temperature means in chronological order to form a curve, which is used as the thermal history simulation result of the geology to be simulated;

[0090] Wherein, A is a natural number greater than 50.

[0091] It should be noted that, according to step S1 to step S4, the thermal history curve of the thermal history curve set corresponding to the optimal paleo-geothermal gradient is obtained, each thermal history curve of the thermal history curve set is divided into A equal parts, and the temperature at the same time point in all thermal history curves in the thermal history curve set after being divided into A equal parts is averaged to obtain A temperature averages, and the A temperature averages are connected into a curve in chronological order. The curve is used as the thermal history simulation result of the geology to be simulated, which improves the accuracy of the thermal history simulation result of the geology to be simulated. A is preferably 100. In this embodiment, if Figure 3 As shown, after all the thermal history curves of the thermal history curve set are divided into 100 equal parts, the maximum values ​​and minimum values ​​of all nodes are connected, the maximum values ​​are connected to form the lower boundary, and the minimum values ​​are connected to form the upper boundary.

[0092] Embodiment 2:

[0093] Figure 4 A framework diagram of a paleo-geothermal gradient system selected based on vertical thermal history simulation in an embodiment of the present invention.

[0094] like Figure 4 As shown, an embodiment of the present invention further provides a system for selecting paleo-geothermal gradient based on vertical thermal history simulation, comprising a data acquisition module 10, a first processing module 20, a second processing module 30 and a screening module 40;

[0095] The data acquisition module 10 is used to obtain N thermal history curves and paleo-geothermal gradient value ranges of M samples and top samples of the geology to be simulated on the vertical section, where the M samples include the top samples and M-1 common samples;

[0096] The first processing module 20 is used to establish N sets of thermal history curves for each integer value of paleo-geothermal gradient in the paleo-geothermal gradient numerical range;

[0097] The second processing module 30 is used to calculate the goodness of fit value of each set of thermal history curves using the low temperature chronology method simulation results for N sets of thermal history curves corresponding to each paleo-geothermal gradient integer value, and obtain N goodness of fit values; and compare each goodness of fit value with a goodness of fit threshold, and select K sets of thermal history curves with values ​​greater than the goodness of fit threshold from the N goodness of fit values ​​to obtain a set of thermal history curves;

[0098] A screening module 40 is used to screen out the thermal history curve set with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from all thermal history curve sets within the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient;

[0099] Wherein, N is a natural number greater than 500, M is a natural number greater than 1, and K is a natural number.

[0100] In the embodiment of the present invention, the first processing module 20 includes an acquisition submodule, a difference submodule, a translation submodule and a construction submodule;

[0101] An acquisition submodule, used to use each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and to acquire the interval between each common sample and the top sample;

[0102] The difference submodule is used to multiply the integer value of the paleo-geothermal gradient by the interval distance to obtain the thermal history temperature difference of each common sample;

[0103] A translation submodule, used to use the thermal history temperature difference corresponding to each common sample as a unit for translation of the reference thermal history curve, to obtain a first thermal history curve corresponding to the common sample;

[0104] A construction submodule is used to form a set of thermal history curves by combining the M-1 first thermal history curves corresponding to the M-1 common samples and the reference thermal history curve of the top sample.

[0105] In the embodiment of the present invention, the paleo-geothermal gradient value ranges from 15°C / km to 45°C / km.

[0106] It should be noted that the modules in the system of the second embodiment correspond to the steps in the method of the first embodiment. The steps of the method of the first embodiment have been described in detail in the first embodiment, and the contents of the modules will not be described in detail in the second embodiment.

[0107] Embodiment three:

[0108] An embodiment of the present invention provides a device for selecting paleo-geothermal gradient based on vertical thermal history simulation, including a processor and a memory;

[0109] A memory, used for storing program codes and transmitting the program codes to a processor;

[0110] The processor is used to execute the above-mentioned method of selecting paleo-geothermal gradient based on vertical thermal history simulation according to the instructions in the program code.

[0111] It should be noted that the processor is used to execute the steps in the above-mentioned method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to the instructions in the program code. Alternatively, the processor implements the functions of each module / unit in the above-mentioned system / device embodiments when executing the computer program.

[0112] Exemplarily, the computer program may be divided into one or more modules / units, one or more modules / units are stored in a memory and executed by a processor to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing a specific function, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0113] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that this does not constitute a limitation on the terminal device, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0114] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0115] The memory may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal device. Furthermore, the memory may also include both an internal storage unit of the terminal device and an external storage device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of 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 the present invention is essentially 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. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0121] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting paleo-geothermal gradients based on vertical thermal history simulation, It is characterized in that The following steps are involved: Obtain M samples of the geology to be simulated on the vertical section, N thermal history curves of the top sample and the value range of paleo-geothermal gradient, where the M samples include the top sample and M-1 common samples; N sets of thermal history curves are established for each integer value of paleo-geothermal gradient in the numerical range of paleo-geothermal gradient; For N groups of thermal history curve sets corresponding to each paleo-geothermal gradient integer value, the goodness of fit value of each group of thermal history curve sets is calculated using the simulation results of the low-temperature chronology method to obtain N goodness of fit values; and comparing each of the goodness of fit values ​​with a goodness of fit threshold, selecting K groups of thermal history curve sets greater than the goodness of fit threshold from the N goodness of fit values ​​to obtain a thermal history curve set; Among all the thermal history curves in the numerical range of paleo-geothermal gradient, the one with the largest number of thermal history curves corresponding to the integer value of paleo-geothermal gradient is selected as the best paleo-geothermal gradient; Wherein, N is a natural number greater than 500, M is a natural number greater than 1, and K is a natural number; For each integer value of paleo-geothermal gradient, N sets of thermal history curves are established, including: Using each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and obtaining the interval distance between each common sample and the top sample; The thermal history temperature difference of each common sample is obtained by multiplying the integer value of paleo-geothermal gradient by the interval distance. Taking the thermal history temperature difference corresponding to each common sample as the unit of translation of the reference thermal history curve, a first thermal history curve corresponding to the common sample is obtained; The M-1 first thermal history curves corresponding to the M-1 common samples and the reference thermal history curve of the top sample constitute a set of thermal history curves.

2. The method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to claim 1, It is characterized in that include: The goodness of fit value corresponding to each integer value of the paleogenetic gradient is compared with B different goodness of fit thresholds to obtain a set of thermal history curves corresponding to different goodness of fit thresholds; among all the thermal history curve sets within the numerical range of the paleogenetic gradient, the one with the largest number of thermal history curves corresponding to the integer value of the paleogenetic gradient is selected as the optimal paleogenetic gradient, wherein B is a natural number greater than 1.

3. The method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to claim 1, It is characterized in that Among all thermal history curves in the numerical range of paleo-geothermal gradient, the one with the largest number of thermal history curves corresponding to the integer value of paleo-geothermal gradient is selected as the best paleo-geothermal gradient, including: If all the integer values ​​of paleo-geothermal gradients are within the same goodness-of-fit threshold, at least two thermal history curve sets with the same number of thermal history curves are selected and recorded as the first thermal history curve set and the second thermal history curve set; Obtaining a first paleo-geothermal gradient value and a second paleo-geothermal gradient value corresponding to the first thermal history curve set and the second thermal history curve set; In the goodness of fit threshold of the next level corresponding to the goodness of fit threshold, the paleogenetic gradient value with the largest number of thermal history curves is selected from the first paleogenetic gradient value and the second paleogenetic gradient value as the optimal paleogenetic gradient.

4. The method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to claim 1, It is characterized in that include: Obtain a set of thermal history curves corresponding to the best paleo-geothermal gradient; At the same time point, the average of each data of all thermal history curves of the thermal history curve set is calculated to obtain the temperature mean of each data; the temperature means of all the data are connected into a curve in chronological order, and the curve is used as the thermal history simulation result of the geology to be simulated.

5. The method for selecting paleo-geothermal gradient based on vertical thermal history simulation according to claim 4, It is characterized in that Obtaining the average of each data of all thermal history curves of the thermal history curve set includes: Divide each thermal history curve into A equal parts, and average the temperatures at the same time point in all thermal history curves after the thermal history curves are divided into A equal parts to obtain A temperature averages; Connect A temperature means in chronological order to form a curve, which is used as the thermal history simulation result of the geology to be simulated; Wherein, A is a natural number greater than 50.

6. A system for selecting paleo-geothermal gradients based on vertical thermal history simulation, It is characterized in that include: A data acquisition module, a first processing module, a second processing module and a screening module; The data acquisition module is used to obtain M samples of the geology to be simulated on the vertical section, N thermal history curves of the top sample and the value range of the paleo-geothermal gradient, where the M samples include the top sample and M-1 ordinary samples; The first processing module is used to establish N sets of thermal history curves for each integer value of paleo-geothermal gradient in the paleo-geothermal gradient numerical range; The second processing module is used to calculate the goodness of fit value of each set of thermal history curves using the simulation results of the low temperature chronology method for the N sets of thermal history curves corresponding to each paleo-geothermal gradient integer value, and obtain N goodness of fit values; and comparing each of the goodness of fit values ​​with a goodness of fit threshold, selecting K groups of thermal history curve sets greater than the goodness of fit threshold from the N goodness of fit values ​​to obtain a thermal history curve set; The screening module is used to screen out the thermal history curves with the largest number of thermal history curves corresponding to the integer value of the paleo-geothermal gradient from all thermal history curves in the paleo-geothermal gradient numerical range as the best paleo-geothermal gradient; Wherein, N is a natural number greater than 500, M is a natural number greater than 1, and K is a natural number; The first processing module includes an acquisition submodule, a difference submodule, a translation submodule and a construction submodule; The acquisition submodule is used to use each thermal history curve of the top sample as a reference thermal history curve of each set of thermal history curves and to acquire the interval between each common sample and the top sample; The difference submodule is used to multiply the paleo-geothermal gradient integer value by the interval distance to obtain the thermal history temperature difference of each common sample; The translation submodule is used to use the thermal history temperature difference corresponding to each common sample as a unit for translation of the reference thermal history curve to obtain a first thermal history curve corresponding to the common sample; The construction submodule is used to form a set of thermal history curves by combining M-1 first thermal history curves corresponding to M-1 common samples and the reference thermal history curve of the top sample.

7. A device for selecting paleo-geothermal gradients based on vertical thermal history simulation, It is characterized in that including a processor and a memory; The memory is used to store program codes and transmit the program codes to the processor; The processor is used to execute the method for selecting paleo-geothermal gradient based on vertical thermal history simulation as described in any one of claims 1 to 5 according to the instructions in the program code.

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