A method and system for uniform temperature processing of fluid inclusions

Abstract

The application discloses a fluid inclusion homogenization temperature processing method and system, and relates to the technical field of resource exploration. The method comprises the following steps: obtaining fluid inclusion homogenization temperature data of a research block, constructing a fluid inclusion homogenization temperature data set, and performing preprocessing of sorting and grouping to obtain a plurality of fluid inclusion homogenization temperature data subsets; determining the filling period of fluid inclusions in a thermal history burial history diagram according to the quantity of the fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset; extracting the fluid inclusion homogenization temperature values at the beginning of oil and gas filling and at the end of oil and gas filling in combination with a preset temperature gradient; obtaining the oil and gas filling start time and the oil and gas filling end time in the thermal history burial history diagram; and obtaining the oil and gas filling duration of the research block. The application effectively improves the accuracy and efficiency of fluid inclusion homogenization temperature data processing, and is beneficial to accurately restoring the thermal evolution process and burial history of a geological body.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of resource exploration, and particularly relates to a fluid inclusion homogenization temperature processing method and system. BACKGROUND

[0002] In the field of geological exploration, the accurate reconstruction of thermal history and burial history is crucial for understanding the formation and evolution process of geological bodies and resource accumulation conditions. Fluid inclusions, especially brine inclusions, are regarded as "natural thermometers" formed at different stages of geological bodies. As microscopic samples of fluids trapped during the formation of geological bodies, they contain key information such as temperature, pressure and fluid chemical composition of ancient geological conditions.

[0003] By analyzing the homogenization temperature of fluid inclusions, the maximum burial depth and the highest temperature experienced by the geological body can be inferred, which helps technicians in the field to accurately construct the thermal history and burial history of the rock stratum. It has great significance for the exploration of oil, gas and mineral resources. Therefore, the fluid inclusion homogenization temperature processing method has gradually become an important tool in the fields of geological research, oil exploration and mineral resource assessment.

[0004] Currently, the fluid inclusion homogenization temperature processing method needs to rely on human experience. The fluid inclusion homogenization temperature is extracted by relying on historical experience valuation and judgment, which has poor precision and is easily affected by external interference during the processing process, leading to deviation. It is difficult to be widely applied in thermal history and burial history diagrams. At the same time, the fluid inclusion homogenization temperature processing method used at the present stage cannot finely divide the fluid inclusion temperature for different thermal evolution stages, making it difficult to obtain detailed thermal history information in complex geological environments. The processing process needs manual extraction and analysis of fluid inclusion homogenization temperature by the staff, which is low in processing efficiency and easy to make mistakes, low in automation, and difficult to be applied to the processing of large-scale fluid inclusion homogenization temperature data.

[0005] Therefore, it is urgent to propose a fluid inclusion homogenization temperature processing method, system and storage medium, which realizes the automatic extraction and fine division of fluid inclusion homogenization temperature, improves the precision and efficiency of fluid inclusion homogenization temperature data processing, and provides a basis for accurately restoring and constructing the thermal evolution process and burial history of geological bodies. SUMMARY

[0006] The present application aims to solve the problems of the prior art, and provides a fluid inclusion homogenization temperature processing method and system, which overcomes the problems of excessive dependence on artificial experience, low precision and long processing time in the current fluid processing according to the oil and gas charging time in the thermal history burial history diagram, improves the efficiency and precision of fluid inclusion homogenization temperature data processing, is beneficial to accurately restoring the thermal evolution process and burial history of the geological body, and has great significance for the exploration and development of oil, natural gas and mineral resources.

[0007] The present application adopts the following technical solutions:

[0008] A fluid inclusion homogenization temperature processing method for determining the charging period and oil and gas charging time of fluid inclusions in a thermal history burial history diagram, specifically comprising the following steps:

[0009] Step 1: Collecting multiple fluid inclusions in a research block, measuring the homogenization temperature data of each fluid inclusion by performing a temperature measurement experiment, obtaining multiple fluid inclusion homogenization temperature data, and constructing a fluid inclusion homogenization temperature data set;

[0010] Step 2: According to the values of the homogenization temperature data of each fluid inclusion in the fluid inclusion homogenization temperature data set, sorting the homogenization temperature data of each fluid inclusion in the fluid inclusion homogenization temperature data set in order from small to large, grouping all the homogenization temperature data of the fluid inclusions in the fluid inclusion homogenization temperature data set, obtaining multiple fluid inclusion homogenization temperature data subsets, and obtaining the number of fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset;

[0011] Step 3: Comparing the number of fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset, obtaining the number of fluid inclusion homogenization temperature data subsets containing the most fluid inclusion homogenization temperature data, and determining the charging period of the fluid inclusions in the thermal history burial history diagram;

[0012] Step 4: In the fluid inclusion homogenization temperature data subset, combining a preset temperature gradient, extracting the fluid inclusion homogenization temperature value at the beginning of oil and gas charging and the fluid inclusion homogenization temperature value at the end of oil and gas charging;

[0013] Step 5: According to the fluid inclusion homogenization temperature values at the beginning and end of oil and gas charging, corresponding to the time corresponding to the fluid inclusion homogenization temperature values at the beginning and end of oil and gas charging in the thermal history burial history diagram, obtaining the oil and gas charging start time and the oil and gas charging end time, and obtaining the oil and gas charging time of the research block.

[0014] Preferably, the fluid inclusion is a brine inclusion.

[0015] Preferably, in step 2, according to the preset temperature gradient, the temperature range corresponding to each fluid inclusion homogenization temperature data subset is determined, and according to the numerical value of each fluid inclusion homogenization temperature data, each fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature data set is divided into the corresponding fluid inclusion homogenization temperature data subset, and the number of fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset is counted.

[0016] Preferably, the temperature gradient is set to 5°C.

[0017] Preferably, in step 4, the following steps are included:

[0018] Step 4.1, the first fluid inclusion homogenization temperature data subset containing fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature database is taken as the first subset, the minimum value of the fluid inclusion homogenization temperature data in the first subset is taken as the minimum boundary value, the fluid inclusion homogenization temperature value closest to the minimum boundary value and taking the integer multiple of the preset temperature gradient is extracted as the fluid inclusion homogenization temperature value at the beginning of oil and gas charging, and the fluid inclusion homogenization temperature value at the beginning of oil and gas charging is not greater than the minimum boundary value;

[0019] Step 4.2, the last fluid inclusion homogenization temperature data subset containing fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature database is taken as the second subset, the maximum value of the fluid inclusion homogenization temperature data in the second subset is taken as the maximum boundary value, the fluid inclusion homogenization temperature value closest to the maximum boundary value and taking the integer multiple of the preset temperature gradient is extracted as the fluid inclusion homogenization temperature value at the end of oil and gas charging, and the fluid inclusion homogenization temperature value at the end of oil and gas charging is not less than the minimum boundary value.

[0020] A fluid inclusion homogenization temperature processing system for implementing the fluid inclusion homogenization temperature processing method as described above, comprising an input module, a preprocessing module, a charging period determination module, an oil and gas charging time determination module and an output module;

[0021] Wherein,

[0022] The input module is used for inputting fluid inclusion homogenization temperature data and constructing a fluid inclusion homogenization temperature data set;

[0023] The preprocessing module is used for preprocessing the fluid inclusion homogenization temperature data in the input fluid inclusion homogenization temperature data set, and obtaining a plurality of fluid inclusion homogenization temperature data subsets by sorting and grouping the fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature data set;

[0024] The filling period determination module is configured to determine the filling period of the fluid inclusion in the thermal history burial history diagram.

[0025] The oil and gas filling time determination module is configured to extract the homogenization temperature value of the fluid inclusion at the beginning of the oil and gas filling and the homogenization temperature value of the fluid inclusion at the end of the oil and gas filling, and determine the oil and gas filling duration.

[0026] The output module is configured to output the filling period of the fluid inclusion in the thermal history burial history diagram and the oil and gas filling duration.

[0027] Preferably, the input module, the preprocessing module, the filling period determination module, the oil and gas filling time determination module and the output module are sequentially connected.

[0028] The present application has the following advantages:

[0029] (1) The fluid inclusion homogenization temperature processing method provided by the present application extracts the fluid inclusion and finely divides it, accurately restores the thermal evolution process and burial history of the geological body by using the characteristics of the fluid inclusion, solves the problem of difficult accurate acquisition of thermal history information in complex geological environment, is beneficial to predicting favorable conditions for oil and gas accumulation and evaluating resource potential, and provides a basis for guiding optimization of exploration and development strategies.

[0030] (2) The fluid inclusion homogenization temperature processing method provided by the present application realizes automatic extraction and analysis of fluid inclusion data, and the entire processing and analysis process does not need to rely on observation and historical experience of staff, thereby greatly reducing errors caused by human factors, and has high processing speed and accuracy and high popularization value. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 The flowchart of the fluid inclusion homogenization temperature processing method of the present application is shown.

[0032] Figure 2 The schematic diagram of the fluid inclusion homogenization temperature processing system of the present application is shown.

[0033] Figure 3 The bar chart of the grouping of the brine inclusion homogenization temperature data is shown. DETAILED DESCRIPTION

[0034] The present application will be described in detail below in combination with the drawings and specific embodiments:

[0035] Example 1

[0036] A fluid inclusion homogenization temperature processing method is provided in this embodiment, as shown in the flowchart of the fluid inclusion homogenization temperature processing method of the present application, for determining the filling period of the fluid inclusion in the thermal history burial history diagram and the oil and gas filling time, and specifically comprising the following steps: Figure 1 The homogenization temperature of the fluid inclusion is extracted, and the filling period of the fluid inclusion in the thermal history burial history diagram and the oil and gas filling time are determined.

[0037] Step 1, collect multiple fluid inclusions in the study block, measure the homogenization temperature data of each fluid inclusion by conducting a temperature experiment, obtain multiple fluid inclusion homogenization temperature data, and construct a fluid inclusion homogenization temperature data set.

[0038] In this embodiment, the fluid inclusion is a brine inclusion, and the constructed fluid inclusion homogenization temperature data set is a one-dimensional array.

[0039] Step 2, according to the numerical value of the homogenization temperature data of each fluid inclusion in the fluid inclusion homogenization temperature data set, sort the homogenization temperature data of each fluid inclusion in the fluid inclusion homogenization temperature data set in ascending order, determine the temperature interval range corresponding to each fluid inclusion homogenization temperature data subset according to the preset temperature gradient, according to the numerical value of the homogenization temperature data of each fluid inclusion, correspondingly divide the homogenization temperature data of each fluid inclusion in the fluid inclusion homogenization temperature data set into the corresponding fluid inclusion homogenization temperature data subset, group all the homogenization temperature data of the fluid inclusion in the fluid inclusion homogenization temperature data set, obtain multiple fluid inclusion homogenization temperature data subsets, and count the number of fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset.

[0040] Step 3, compare the number of fluid inclusion homogenization temperature data in each fluid inclusion homogenization temperature data subset, obtain the number of fluid inclusion homogenization temperature data subsets containing the most fluid inclusion homogenization temperature data, and determine the filling period of the fluid inclusion in the thermal history burial history diagram.

[0041] Generally, according to the number of fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature data subset, there is a fluid inclusion homogenization temperature data subset containing the most fluid inclusion homogenization temperature data, at this time, the filling period of the fluid inclusion in the thermal history burial history diagram is determined to be 1, but there may be multiple fluid inclusion homogenization temperature data subsets containing the same number of fluid inclusion homogenization temperature data and being the most, at this time, the total number of fluid inclusion homogenization temperature data subsets containing the most fluid inclusion homogenization temperature data is n, then the filling period of the fluid inclusion in the thermal history burial history diagram is n.

[0042] Step 4, in the fluid inclusion homogenization temperature data subset, combined with the preset temperature gradient, extract the fluid inclusion homogenization temperature value at the beginning of oil and gas charging and the fluid inclusion homogenization temperature value at the end of oil and gas charging, the specific process is:

[0043] Step 4.1, taking the first subset of fluid inclusion homogenization temperature data containing fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature database as a first subset, finding the minimum value of the fluid inclusion homogenization temperature data in the first subset as a minimum boundary value, extracting the fluid inclusion homogenization temperature value closest to the minimum boundary value and taking the value as an integer multiple of the preset temperature gradient as the fluid inclusion homogenization temperature value at the beginning of the oil and gas charging, and the fluid inclusion homogenization temperature value at the beginning of the oil and gas charging is not greater than the minimum boundary value.

[0044] Step 4.2, taking the last subset of fluid inclusion homogenization temperature data containing fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature database as a second subset, finding the maximum value of the fluid inclusion homogenization temperature data in the second subset as a maximum boundary value, extracting the fluid inclusion homogenization temperature value closest to the maximum boundary value and taking the value as an integer multiple of the preset temperature gradient as the fluid inclusion homogenization temperature value at the end of the oil and gas charging, and the fluid inclusion homogenization temperature value at the end of the oil and gas charging is not less than the minimum boundary value.

[0045] Step 5, according to the fluid inclusion homogenization temperature values at the beginning and end of the oil and gas charging, corresponding to the time at which the fluid inclusion homogenization temperature values at the beginning and end of the oil and gas charging are determined in the thermal history burial history diagram, the oil and gas charging start time and the oil and gas charging end time are obtained, and the oil and gas charging duration of the research block is obtained.

[0046] Embodiment 2

[0047] A fluid inclusion homogenization temperature processing system is proposed in this embodiment, as shown in Figure 2 for implementing the fluid inclusion homogenization temperature processing method as described in Embodiment 1, comprising an input module, a preprocessing module, a charging period determination module, an oil and gas charging time determination module and an output module, the input module, the preprocessing module, the charging period determination module, the oil and gas charging time determination module and the output module are connected in sequence.

[0048] Among them,

[0049] The input module is used to input fluid inclusion homogenization temperature data and construct a fluid inclusion homogenization temperature data set.

[0050] The preprocessing module is used to preprocess the fluid inclusion homogenization temperature data in the input fluid inclusion homogenization temperature data set, and obtain a plurality of fluid inclusion homogenization temperature data subsets by sorting and grouping the fluid inclusion homogenization temperature data in the fluid inclusion homogenization temperature data set.

[0051] The charging period determination module is used to determine the charging period of the fluid inclusion in the thermal history burial history diagram.

[0052] The oil and gas charging time determination module is configured to extract the fluid inclusion homogenization temperature value at the beginning of oil and gas charging and the fluid inclusion homogenization temperature value at the end of oil and gas charging, and determine the oil and gas charging duration.

[0053] The output module is configured to output the charging period of fluid inclusions and the oil and gas charging duration in the thermal history burial history diagram.

[0054] Embodiment 3

[0055] In this embodiment, the fluid inclusion homogenization temperature processing system described in Embodiment 2 is stored in a computer readable medium, and the fluid inclusion homogenization temperature processing method described in Embodiment 1 is loaded and executed by a processor. According to the brine inclusion homogenization temperature data of the research block, the oil and gas charging start time and the oil and gas charging end time of the research block are obtained, and the oil and gas charging duration of the research block is determined. The specific steps include the following steps:

[0056] Step 1, collect multiple brine inclusions in the research block, measure the homogenization temperature data of each brine inclusion by temperature measurement experiment, obtain the homogenization temperature data of each brine inclusion, and construct a one-dimensional array of brine inclusion homogenization temperature data set.

[0057] Step 2, according to the numerical value of each brine inclusion homogenization temperature data in the brine inclusion homogenization temperature data set, sort each brine inclusion homogenization temperature data in the brine inclusion homogenization temperature data set in ascending order, determine the temperature interval range corresponding to each brine inclusion homogenization temperature data subset according to the preset temperature gradient 5℃, according to the numerical value of each brine inclusion homogenization temperature data, correspondingly divide each brine inclusion homogenization temperature data in the brine inclusion homogenization temperature data set into the corresponding brine inclusion homogenization temperature data subset, group all brine inclusion homogenization temperature data in the brine inclusion homogenization temperature data set, obtain 5 brine inclusion homogenization temperature data subsets, the temperature interval is (125, 130], (130, 135], (135, 140], (140, 145], (145, 150], unit: ℃, and the number of brine inclusion homogenization temperature data in each brine inclusion homogenization temperature data subset is counted, as shown in Table 1. Figure 3

[0058] ​Step 3, compare the number of brine inclusion homogenization temperature data in each brine inclusion homogenization temperature data subset, in this embodiment, the brine inclusion homogenization temperature data set is divided into five brine inclusion homogenization temperature data subsets after sorting, which are first brine inclusion homogenization temperature data subset, second brine inclusion homogenization temperature data subset, third brine inclusion homogenization temperature data subset, fourth brine inclusion homogenization temperature data subset and fifth brine inclusion homogenization temperature data subset, wherein the number of brine inclusion homogenization temperature data in the first brine inclusion homogenization temperature data subset is 8, the number of brine inclusion homogenization temperature data in the second brine inclusion homogenization temperature data subset is 19, the number of brine inclusion homogenization temperature data in the third brine inclusion homogenization temperature data subset is 42, the number of brine inclusion homogenization temperature data in the fourth brine inclusion homogenization temperature data subset is 18, and the number of brine inclusion homogenization temperature data in the fifth brine inclusion homogenization temperature data subset is 3, wherein the number of brine inclusion homogenization temperature data contained in the third brine inclusion homogenization temperature data subset is the largest, and no other brine inclusion homogenization temperature data subset contains the same number of brine inclusion homogenization temperature data, that is, it is determined that the fluid inclusion charging period of the history burial history diagram is 1.

[0059] Step 4, since the first brine inclusion homogenization temperature data subset appears first in the brine inclusion homogenization temperature data set in this embodiment, the first brine inclusion homogenization temperature data subset is taken as the first subset, and the brine inclusion homogenization temperature data in the first subset is {127.9, 128.3, 128.6, 129.4, 129.7, 129.8, 129.9}, the minimum value of the brine inclusion homogenization temperature data in the first subset is 127.9℃, and 127.9℃ is taken as the minimum boundary value, and the brine inclusion homogenization temperature value less than and closest to the minimum boundary value 127.9℃ and taking the value of 5℃ integer multiple is taken as the brine inclusion homogenization temperature value at the beginning of oil and gas charging, that is, the brine inclusion homogenization temperature value at the beginning of oil and gas charging in this embodiment is determined to be 125℃.

[0060] Since the brine inclusion homogenization temperature data in the fifth brine inclusion homogenization temperature data subset in the brine inclusion homogenization temperature data set in the embodiment appears last time, the fifth brine inclusion homogenization temperature data subset is taken as the second subset, the brine inclusion homogenization temperature data in the second subset is {145.6, 145.8, 148.3}, the maximum value of the brine inclusion homogenization temperature data in the second subset is 148.3℃, 148.3℃ is taken as the maximum boundary value, and the brine inclusion homogenization temperature value greater than and closest to the maximum boundary value 148.3℃ and taking the value as 5℃ integer multiple is taken as the brine inclusion homogenization temperature value at the end of hydrocarbon charging, that is, the brine inclusion homogenization temperature value at the end of hydrocarbon charging in the embodiment is determined to be 150℃.

[0061] Step 5, according to the brine inclusion homogenization temperature value 125℃ at the beginning of hydrocarbon charging and the brine inclusion homogenization temperature value 150℃ at the end of hydrocarbon charging, the thermal history burial history graph of the research block shows the brine inclusion homogenization temperature value and hydrocarbon charging time of the reservoir at different depths, the beginning time and the end time of hydrocarbon charging are determined in the thermal history burial history graph, and the hydrocarbon charging time information can be accurately obtained according to the brine inclusion homogenization temperature value corresponding to each burial depth in the thermal history burial history graph, and the hydrocarbon charging duration of the research block is determined.

[0062] Of course, the above description is not a limitation of the present application, and the present application is not limited to the above examples, and the changes, modifications, additions or replacements made by the person skilled in the art within the essential scope of the present application should also belong to the protection scope of the present application.

Claims

1. A method for uniform temperature treatment of fluid inclusions, characterized in that: The method is used to determine the filling period and oil and gas filling time of fluid inclusions in the thermal history and burial history diagram, and specifically includes the following steps: Step 1: Collect multiple fluid inclusions in the study area, measure the homogenized temperature data of each fluid inclusion through temperature measurement experiments, obtain multiple fluid inclusion homogenized temperature data, and construct a fluid inclusion homogenized temperature dataset; Step 2: sorting the fluid inclusion homogenous temperature data in the fluid inclusion homogenous temperature data set in ascending order based on the values ​​of the fluid inclusion homogenous temperature data in the fluid inclusion homogenous temperature data set, grouping all the fluid inclusion homogenous temperature data in the fluid inclusion homogenous temperature data set to obtain multiple fluid inclusion homogenous temperature data subsets, and obtaining the number of fluid inclusion homogenous temperature data in each fluid inclusion homogenous temperature data subset; Step 3: Compare the number of fluid inclusion homogenized temperature data in each fluid inclusion homogenized temperature data subset, obtain the number of fluid inclusion homogenized temperature data subsets containing the most fluid inclusion homogenized temperature data, and determine the filling period of the fluid inclusions in the thermal history burial history diagram; Step 4: Extract the homogenized temperature values ​​of the fluid inclusions at the beginning and end of the oil and gas filling process from the fluid inclusion homogenized temperature data subset, combined with a preset temperature gradient; Step 5: According to the homogenized temperature values ​​of the fluid inclusions at the start and end of oil and gas filling, the corresponding times of the homogenized temperature values ​​of the fluid inclusions at the start and end of oil and gas filling are determined in the thermal history burial history diagram, and the start and end times of oil and gas filling are obtained to obtain the oil and gas filling start and end times, and the oil and gas filling duration of the study block.

2. The method for uniform temperature treatment of fluid inclusions according to claim 1, characterized in that: The fluid inclusions are salt water inclusions.

3. The method for uniform temperature treatment of fluid inclusions according to claim 1, wherein: In step 2, the temperature range corresponding to each fluid inclusion uniform temperature data subset is determined according to a preset temperature gradient, and the uniform temperature data of each fluid inclusion in the fluid inclusion uniform temperature data set is divided into a corresponding fluid inclusion uniform temperature data subset according to the value of each fluid inclusion uniform temperature data, and the number of fluid inclusion uniform temperature data in each fluid inclusion uniform temperature data subset is counted.

4. The method for uniform temperature treatment of fluid inclusions according to claim 3, wherein: The temperature gradient was set to 5°C.

5. The method for uniform temperature treatment of fluid inclusions according to claim 1, wherein: The step 4 includes the following steps: Step 4.1, taking the first fluid inclusion homogenized temperature data subset containing fluid inclusion homogenized temperature data in the fluid inclusion homogenized temperature database as the first subset, finding the minimum value of the fluid inclusion homogenized temperature data in the first subset as the minimum boundary value, extracting the fluid inclusion homogenized temperature value closest to the minimum boundary value and taking a value that is an integer multiple of the preset temperature gradient as the fluid inclusion homogenized temperature value at the start of oil and gas charging, and the fluid inclusion homogenized temperature value at the start of oil and gas charging is not greater than the minimum boundary value; Step 4.2: Take the last fluid inclusion homogenized temperature data subset containing fluid inclusion homogenized temperature data in the fluid inclusion homogenized temperature database as the second subset, find the maximum value of the fluid inclusion homogenized temperature data in the second subset as the maximum boundary value, extract the fluid inclusion homogenized temperature value closest to the maximum boundary value and the value that is an integer multiple of the preset temperature gradient as the fluid inclusion homogenized temperature value when the oil and gas filling is completed, and the fluid inclusion homogenized temperature value when the oil and gas filling is completed is not less than the minimum boundary value.

6. A fluid inclusion uniform temperature treatment system, characterized in that: A method for uniform temperature treatment of fluid inclusions according to any one of claims 1 to 5, comprising an input module, a pre-processing module, a charging period determination module, an oil and gas charging time determination module, and an output module; in, The input module is used to input fluid inclusion homogenization temperature data and construct a fluid inclusion homogenization temperature data set; The preprocessing module is used to preprocess the fluid inclusion uniform temperature data in the input fluid inclusion uniform temperature data set, and obtain multiple fluid inclusion uniform temperature data subsets by sorting and grouping the fluid inclusion uniform temperature data in the fluid inclusion uniform temperature data set; The filling period determination module is used to determine the filling period of the fluid inclusion in the thermal history and burial history diagram; The oil and gas filling time determination module is used to extract the homogenized temperature value of the fluid inclusion at the beginning of the oil and gas filling and the homogenized temperature value of the fluid inclusion at the end of the oil and gas filling to determine the oil and gas filling time; The output module is used to output the filling period and oil and gas filling duration of the fluid inclusions in the thermal history and burial history diagram.

7. The fluid inclusion uniform temperature treatment system according to claim 6, characterized in that: The input module, pre-processing module, filling period determination module, oil and gas filling time determination module and output module are connected in sequence.

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