Method and system for predicting oil and gas bearing basin richness using lithospheric thickness

Abstract

The application provides a method and system for predicting the richness of an oil and gas bearing basin using lithospheric thickness, wherein the method comprises: calculating a lithospheric thickness characteristic parameter of the oil and gas bearing basin using geological data of the lithosphere of the oil and gas bearing basin; using a curve to fit the relationship between the thickness characteristic parameter and the total geological resource oil equivalent to obtain a function relationship; and evaluating the total geological resource oil equivalent of a target oil and gas bearing basin using the function relationship. The application uses a curve to fit the relationship between the total normalization factor of the lithospheric thickness of the oil and gas bearing basin as the x-axis variable and the total geological resource oil equivalent of the corresponding oil and gas bearing basin as the y-axis variable, realizes the function relationship fitting between the total normalization factor of the lithospheric thickness of the oil and gas bearing basin and the total geological resource oil equivalent, can more intuitively show the relationship between the lithospheric thickness characteristic and the geological resource oil equivalent, and better evaluates and compares the energy potential of different basins.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration technology, and in particular to a method and system for predicting the richness or poorness of oil and gas basins using lithospheric thickness. Background Technology

[0002] Lithospheric thickness refers to the vertical distance from the Earth's surface to the boundary between the lithosphere and asthenosphere, encompassing the sum of sedimentary layer thickness, crustal thickness, and the thickness of the solid upper mantle cover. The distribution patterns of oil and gas resources in petroleum basins are closely related to the Earth's deep tectonic structure and the convection of thermal materials, and lithospheric thickness characteristic parameters reflect the structure and properties of the lithosphere. This study delves into the relationship between lithospheric thickness characteristic parameters and the distribution of oil and gas resources in petroleum basins, and utilizes this information to assess the enrichment and depletion of oil and gas resources in these basins.

[0003] With the continuous improvement of deep geophysical data, research on the relationship between the deep structure of oil and gas basins and their hydrocarbon content has gradually developed. The study of the geodynamic mechanism of oil and gas basins has become a major trend. This will require quantitative analysis of parameters reflecting deep processes, and in order to understand the intrinsic relationship between the evolution of oil and gas basins and lithospheric processes (Wang Dongpo et al., 1998; Li Sitian, 1995; He Dengfa et al., 2004). Most scholars have conducted qualitative studies on the relationship between the deep structure of the lithosphere and oil and gas basins. It is generally believed that the thickness of the lithosphere in a basin reflects its structure and properties. Uplift of the upper mantle leads to thinning of the lithosphere and strong basement subsidence. Furthermore, the stronger the influence of deep thermal materials on the lithosphere, the better the oil and gas potential of the basin. However, the extent to which the lithosphere is thinned has not been determined by semi-quantitative research (Jin Zhijun et al., 2003; Xu Changfang, 2003; Wan Ling et al., 2006). Only a few scholars have conducted semi-quantitative predictive analyses on the relationship between the deep lithospheric structural parameters and the distribution of oil and gas resources in oil and gas basins (Shao Xuezhong et al., 1999; Li Mengkui et al., 2018; Zhang et al., 2023). Therefore, in the study of the deep lithospheric structure of oil and gas basins, previous researchers have gained a qualitative understanding of the relationship between the characteristic parameters of lithospheric thickness and the richness or poorness of oil and gas basins and oil and gas resources, but the specific quantitative laws still need to be further explored.

[0004] Based on patent searches and domestic and international literature reviews, there is currently no method for predicting the enrichment and depletion of oil and gas resources in oil and gas basins using characteristic parameters of lithospheric thickness. Therefore, it is necessary to study a semi-quantitative method for predicting the richness and poorness of oil and gas basins using characteristic parameters of lithospheric thickness. Summary of the Invention

[0005] To address the aforementioned problems, the present invention aims to provide a method and system for predicting the richness or poorness of oil and gas basins using lithospheric thickness.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] A method for predicting the richness or poorness of oil and gas basins using lithospheric thickness includes:

[0008] Geological data of the lithosphere in oil and gas basins are obtained; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data.

[0009] Calculate the lithosphere thickness of the oil and gas basin based on the geological data;

[0010] Based on the thickness of the lithosphere in the oil and gas basin, the thickness characteristic parameters of the lithosphere in the oil and gas basin are obtained;

[0011] The total normalization factor for the thickness of the lithosphere in the oil and gas basin is calculated based on the thickness characteristic parameters.

[0012] The total normalized factor of the lithospheric thickness of the oil and gas basin is used as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin is used as the y-axis variable. A curve is used to fit the relationship between the x-axis and y-axis variables to obtain the functional relationship.

[0013] The total geological resource oil equivalent of the target oil and gas basin is evaluated using the aforementioned functional relationship.

[0014] Preferably, the thickness characteristic parameters of the lithosphere in the oil and gas basin include: the average, minimum, and maximum thickness of the lithosphere in the oil and gas basin.

[0015] Preferably, the step of calculating the total normalization factor for the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters includes:

[0016] Formula used:

[0017]

[0018] The total normalized factor for the lithospheric thickness of oil and gas basins was obtained; where α i β represents the total normalization factor for a parameter of an oil and gas basin. i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. i average L represents the average thickness of the lithosphere in an oil and gas basin. i min L represents the minimum thickness of the lithosphere in an oil and gas basin. i max The maximum value of the lithospheric thickness in an oil and gas basin is represented by max(β), and the maximum value of a certain characteristic parameter is represented by max(L). minThe maximum value among the minimum lithospheric thicknesses of all oil and gas basins, max(L) average The average of the minimum lithospheric thicknesses of all oil and gas basins, max(L) max The maximum value among the minimum lithospheric thicknesses of all oil and gas basins.

[0019] This invention also provides a system for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics, comprising:

[0020] The data acquisition module is used to acquire geological data of the lithosphere in oil and gas basins; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data.

[0021] The lithosphere thickness calculation module is used to calculate the lithosphere thickness of oil and gas basins based on the geological data.

[0022] The thickness characteristic parameter statistics module is used to obtain the thickness characteristic parameters of the lithosphere of the oil and gas basin based on the thickness of the lithosphere of the oil and gas basin.

[0023] The normalization factor calculation module is used to calculate the normalization factor of the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters.

[0024] The function relationship fitting module is used to take the total normalization factor of the lithospheric thickness of the oil and gas basin as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. The curve is used to fit the relationship between the x-axis variable and the y-axis variable to obtain the function relationship.

[0025] The total geological resource oil equivalent assessment module is used to assess the total geological resource oil equivalent of the target oil and gas basin using the aforementioned functional relationship.

[0026] Preferably, the thickness characteristic parameters of the lithosphere in the oil and gas basin include: the average, minimum, and maximum thickness of the lithosphere in the oil and gas basin.

[0027] Preferably, the total normalization factor calculation module includes:

[0028] The normalization factor calculation unit is used to apply the formula:

[0029]

[0030] The total normalized factor for the lithospheric thickness of oil and gas basins was obtained; where α i β represents the total normalization factor for a parameter of an oil and gas basin. i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. i average L represents the average thickness of the lithosphere in an oil and gas basin.i min Li represents the minimum thickness of the lithosphere in an oil and gas basin. max The maximum value of the lithospheric thickness in an oil and gas basin is represented by max(β), and the maximum value of a certain characteristic parameter is represented by max(L). min The maximum value among the minimum lithospheric thicknesses of all oil and gas basins, max(L) average The average of the minimum lithospheric thicknesses of all oil and gas basins, max(L) max The maximum value among the minimum lithospheric thicknesses of all oil and gas basins.

[0031] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0032] This invention provides a method for predicting the richness or poorness of oil and gas basins using lithospheric thickness. Compared with existing technologies, this invention uses the total normalized factor of the lithospheric thickness of the oil and gas basin as the x-axis variable and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. A curve is used to fit the relationship between the x-axis and y-axis variables, thus realizing the functional relationship between the total normalized factor of the lithospheric thickness of the oil and gas basin and the total geological resource oil equivalent. This can more intuitively show the relationship between lithospheric thickness characteristics and geological resource oil equivalent, and better assess and compare the energy potential of different basins. Attached Figure Description

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

[0034] Figure 1 This invention provides a flowchart of a method for predicting the richness or poorness of oil and gas basins using lithospheric thickness;

[0035] Figure 2 A schematic diagram of the lithospheric isostatic theory model provided by this invention;

[0036] Figure 3 The statistical chart of the total normalized factor of lithospheric thickness in nearshore and adjacent oil and gas basins provided by this invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] To achieve the above objectives, the present invention provides the following solution:

[0039] A method for predicting the richness or poorness of oil and gas basins using lithospheric thickness includes:

[0040] Step 1: Obtain geological data of the lithosphere in the oil and gas basin; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data;

[0041] Step 2: Calculate the lithospheric thickness of the oil and gas basin based on the geological data;

[0042] Step 3: Obtain the thickness characteristic parameters of the lithosphere of the oil and gas basin based on the thickness of the lithosphere of the oil and gas basin; the thickness characteristic parameters of the lithosphere of the oil and gas basin include: the average value, minimum value and maximum value of the lithosphere thickness of the oil and gas basin;

[0043] Step 4: Calculate the total normalization factor of the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters;

[0044] Furthermore, in step 4, the following formula can be used:

[0045]

[0046] The total normalized factor for the lithospheric thickness of oil and gas basins was obtained; where α i β represents the total normalization factor for a parameter of an oil and gas basin. i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. i average L represents the average thickness of the lithosphere in an oil and gas basin. i min L represents the minimum thickness of the lithosphere in an oil and gas basin. i max The maximum value of the lithospheric thickness in an oil and gas basin is represented by max(β), and the maximum value of a certain characteristic parameter is represented by max(L). min The maximum value among the minimum lithospheric thicknesses of all oil and gas basins, max(L) average The average of the minimum lithospheric thicknesses of all oil and gas basins, max(L) max The maximum value among the minimum lithospheric thicknesses of all oil and gas basins.

[0047] Step 5: Use the total normalization factor of the lithospheric thickness of the oil and gas basin as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. Use a curve to fit the relationship between the x-axis and y-axis variables to obtain the functional relationship.

[0048] Step 6: Use the aforementioned functional relationship to assess the total geological resource oil equivalent of the target oil and gas basin.

[0049] This invention uses the total normalized factor of the lithospheric thickness of an oil and gas basin as the x-axis variable and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. By using a curve to fit the relationship between the x-axis and y-axis variables, this invention achieves a functional relationship fitting between the total normalized factor of the lithospheric thickness of an oil and gas basin and the total geological resource oil equivalent. This can more intuitively show the relationship between lithospheric thickness characteristics and geological resource oil equivalent, and better assess and compare the energy potential of different basins.

[0050] Please see Figure 1 The following describes a method for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics, based on specific embodiments of the present invention:

[0051] Step 101: Input the data required to calculate the thickness of the lithosphere. This includes topographic elevation, free-space gravity anomalies, and geological and geophysical data of the lithosphere.

[0052] Step 102: Calculate the lithospheric thickness of the oil and gas basin. Based on the theory of local isostatic equilibrium of the lithosphere and the principle of one-dimensional heat conduction, calculate the lithospheric thickness of the oil and gas basin.

[0053] Step 103: Statistically determine the three parameters (average, maximum, and minimum) of the lithospheric thickness in the oil and gas basin. Given the lithospheric thickness of the oil and gas basin calculated in step 102, statistically determine the different parameters of the lithospheric thickness based on the principles of mathematical statistics.

[0054] Step 104: Calculate the total normalization factor for the lithospheric thickness parameters of the oil and gas basin. Given the three lithospheric thickness parameters (mean, maximum, and minimum) of the oil and gas basin obtained in step 103, calculate the total normalization factor for the lithospheric thickness parameters of the oil and gas basin based on the entropy weight method.

[0055] Step 105: Fit the functional relationship between the total normalized factor of the lithospheric thickness of the oil and gas basin and the total geological resource oil equivalent. Given the total normalized factor of the lithospheric thickness of the oil and gas basin calculated in step 104, plot a scatter plot of the total normalized factor of the lithospheric thickness of the oil and gas basin and the total geological resource oil equivalent, and fit the functional relationship.

[0056] Step 106: Assess and predict the enrichment and depletion of oil and gas resources in oil and gas basins. Given the functional relationship from step 105, the total geological resource oil equivalent of oil and gas basins can be predicted using this relationship, and the enrichment and depletion of oil and gas resources in these basins can be assessed.

[0057] Step 101 above involves inputting the data required to calculate the thickness of the lithosphere. For example... Figure 2 The lithospheric isostatic model shown includes a sedimentary layer, a crustal layer, and an upper mantle layer. This step involves inputting the collected known data of the lithospheric layer. All data is in a gridded file format (.grd) for subsequent step 102 to calculate the lithospheric thickness. The data includes: first, interface depth data, specifically topographic elevation, sedimentary basement depth, Moho discontinuity depth, and initial depth data of the lithospheric floor interface; second, layer thickness data, specifically sedimentary layer thickness, crustal thickness, and initial upper mantle thickness; third, layer density data, specifically water layer density, sedimentary layer density, crustal density, and upper mantle density; fourth, gravity anomaly data, specifically free-space gravity anomalies; and finally, iteration parameters, including the number of iterations and iteration precision.

[0058] Step 102 above calculates the lithospheric thickness of the oil and gas basin. First, based on the known data from step 101, and using the principle of local equilibrium and one-dimensional heat conduction theory, the initial lithospheric thickness is calculated. After calculating the initial gravity anomaly using the initial lithospheric model, it is compared with the known gravity anomaly. If the iteration conditions are met, the lithospheric thickness of the oil and gas basin is obtained; otherwise, iteration continues until the iteration conditions are met. The calculation formula is as follows:

[0059]

[0060] L=Z LAB +H

[0061] Where H represents the elevation of the lithospheric columnar unit, ρ a ρ is the density of the asthenosphere. w ρ is the density of seawater. m Let H0 be the density of the lithospheric mantle, H0 be the elevation calibration constant, and z be the density of the lithospheric mantle. LAB z Moho These represent the depths of the lithospheric base interface and the Moho discontinuity, respectively, for a lithospheric columnar unit. i d i Let be the density and thickness of the i-th layer of the Earth's crust, respectively, and L represent the thickness of the lithosphere.

[0062] Step 103 above involves statistically analyzing the lithosphere thickness parameters (average, maximum, and minimum) of oil and gas basins. The average lithosphere thickness of the oil and gas basin (L) i average), representing the average thickness of the lithosphere within the basin; the minimum thickness of the lithosphere in an oil and gas-bearing basin (L). i min ), representing the thinnest point of the lithosphere within the basin; the maximum lithosphere thickness in an oil and gas-bearing basin (L). i max ), representing the thickest point of the lithosphere within the basin.

[0063] Step 104 above calculates the total normalization factor for the lithospheric thickness parameter of the oil and gas basin. Given the three characteristic parameters of the lithospheric thickness of the oil and gas basin obtained from step 103, the total normalization factor (α) for the lithospheric thickness of the oil and gas basin is... i ), representing the total factor after normalization of the characteristic parameters of the lithospheric thickness of the basin.

[0064]

[0065] Step 105 above involves fitting a functional relationship between the normalized lithospheric thickness factor and the total geological oil equivalent of the oil-bearing basin. Given the normalized lithospheric thickness factor calculated in step 104, it is used as the x-axis variable, and the total geological oil equivalent of the oil-bearing basin is used as the y-axis variable. A scatter plot of the normalized lithospheric thickness factor and the total geological oil equivalent of the oil-bearing basin is plotted. Then, the relationship between them is fitted using a curve to derive the specific functional relationship.

[0066] Step 106 above assesses and predicts the enrichment and depletion of oil and gas resources in oil and gas basins. Given the functional relationship between the normalized total lithospheric thickness factor and the total geological resource oil equivalent in step 105, the theoretical total geological resource oil equivalent of the oil and gas basin is predicted using this relationship. The richness or poorness of the oil and gas basin is then assessed based on the total geological resource oil equivalent of different scale levels of the basin. Specifically, extremely rich oil and gas basins have a total geological resource oil equivalent of over 500 × 10⁸ t; extra-rich oil and gas basins have a total geological resource oil equivalent of over 100 × 10⁸ t; rich oil and gas basins have a total geological resource oil equivalent of (10–100) × 10⁸ t; medium-rich oil and gas basins have a total geological resource oil equivalent of (1–10) × 10⁸ t; and small oil and gas basins have a total geological resource oil equivalent of (0.1–1) × 10⁸ t.

[0067] Following the steps above, the total normalization factor for example oil and gas basins in Chinese waters and adjacent areas was calculated using lithospheric thickness parameters. The results are as follows: Figure 3 As shown.

[0068] As can be seen from the above description, the present invention achieves the following technical effects: by using curves to fit the relationship between the characteristic parameters of the lithospheric thickness of oil and gas basins and the total geological resource oil equivalent, the present invention achieves the fitting of the functional relationship between the total normalized factor of the lithospheric thickness of oil and gas basins and the total geological resource oil equivalent, providing reliable geophysical data support for subsequent oil and gas exploration and development site selection.

[0069] This invention also provides a system for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics, comprising:

[0070] The data acquisition module is used to acquire geological data of the lithosphere in oil and gas basins; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data.

[0071] The lithosphere thickness calculation module is used to calculate the lithosphere thickness of oil and gas basins based on the geological data.

[0072] The thickness characteristic parameter statistics module is used to obtain the thickness characteristic parameters of the lithosphere of the oil and gas basin based on the thickness of the lithosphere of the oil and gas basin.

[0073] The normalization factor calculation module is used to calculate the normalization factor of the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters.

[0074] The function relationship fitting module is used to take the total normalization factor of the lithospheric thickness of the oil and gas basin as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. The curve is used to fit the relationship between the x-axis variable and the y-axis variable to obtain the function relationship.

[0075] The total geological resource oil equivalent assessment module is used to assess the total geological resource oil equivalent of the target oil and gas basin using the aforementioned functional relationship.

[0076] Preferably, the thickness characteristic parameters of the lithosphere in the oil and gas basin include: the average, minimum, and maximum thickness of the lithosphere in the oil and gas basin.

[0077] Preferably, the total normalization factor calculation module includes:

[0078] The normalization factor calculation unit is used to apply the formula:

[0079]

[0080] The total normalized factor for the lithospheric thickness of oil and gas basins was obtained; where α i β represents the total normalization factor for a parameter of an oil and gas basin. i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. iaverage L represents the average thickness of the lithosphere in an oil and gas basin. i min L represents the minimum thickness of the lithosphere in an oil and gas basin. i max The maximum value of the lithospheric thickness in an oil and gas basin is represented by max(β), and the maximum value of a certain characteristic parameter is represented by max(L). min The maximum value among the minimum lithospheric thicknesses of all oil and gas basins, max(L) average The average of the minimum lithospheric thicknesses of all oil and gas basins, max(L) max The maximum value among the minimum lithospheric thicknesses of all oil and gas basins.

[0081] Compared with the prior art, the beneficial effects of the system for predicting the richness and poorness of oil and gas basins using lithospheric thickness characteristics provided by the present invention are the same as the beneficial effects of the method for predicting the richness and poorness of oil and gas basins using lithospheric thickness characteristics described in the above technical solution, and will not be repeated here.

[0082] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting the richness or poorness of oil and gas basins using lithospheric thickness, characterized in that, include: Geological data of the lithosphere in oil and gas basins are obtained; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data. Calculate the lithosphere thickness of the oil and gas basin based on the geological data; Based on the thickness of the lithosphere in the oil and gas basin, the thickness characteristic parameters of the lithosphere in the oil and gas basin are obtained; The total normalization factor for the thickness of the lithosphere in the oil and gas basin is calculated based on the thickness characteristic parameters. The total normalized factor of the lithospheric thickness of the oil and gas basin is used as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin is used as the y-axis variable. The relationship between the x-axis variable and the y-axis variable is fitted by a curve to obtain the functional relationship. The total geological resource oil equivalent of the target oil and gas basin is evaluated using the aforementioned functional relationship.

2. The method for predicting the richness or poorness of oil and gas basins using lithospheric thickness according to claim 1, characterized in that, The thickness characteristic parameters of the lithosphere in the oil and gas basin include: the average, minimum, and maximum thickness of the lithosphere in the oil and gas basin.

3. The method for predicting the richness or poorness of oil and gas basins using lithospheric thickness according to claim 2, characterized in that, The calculation of the total normalization factor for the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters includes: Formula used: The total normalized factor for the lithospheric thickness of hydrocarbon basins was obtained; where α i β represents the total normalization factor for a parameter of an oil and gas basin. i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. i average L represents the average thickness of the lithosphere in an oil and gas basin. i min L represents the minimum thickness of the lithosphere in an oil and gas basin. i max The maximum value of the lithospheric thickness in an oil and gas basin is represented by max(β), and the maximum value of a certain characteristic parameter is represented by max(L). min The maximum value among the minimum lithosphere thicknesses of all oil and gas basins, max(L) average The average of the minimum lithospheric thicknesses of all oil and gas basins, max(L) max The maximum value among the minimum lithospheric thicknesses of all oil and gas basins.

4. A system for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics, characterized in that, include: The data acquisition module is used to acquire geological data of the lithosphere in oil and gas basins; the geological data includes interface depth data, layer thickness data, layer density data, and gravity anomaly data. The lithosphere thickness calculation module is used to calculate the lithosphere thickness of oil and gas basins based on the geological data. The thickness characteristic parameter statistics module is used to obtain the thickness characteristic parameters of the lithosphere of the oil and gas basin based on the thickness of the lithosphere of the oil and gas basin. The normalization factor calculation module is used to calculate the normalization factor of the lithospheric thickness of the oil and gas basin based on the thickness characteristic parameters. The function relationship fitting module is used to take the total normalization factor of the lithospheric thickness of the oil and gas basin as the x-axis variable, and the total geological resource oil equivalent of the corresponding oil and gas basin as the y-axis variable. The curve is used to fit the relationship between the x-axis variable and the y-axis variable to obtain the function relationship. The total geological resource oil equivalent assessment module is used to assess the total geological resource oil equivalent of the target oil and gas basin using the aforementioned functional relationship.

5. The system for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics according to claim 4, characterized in that, The thickness characteristic parameters of the lithosphere in the oil and gas basin include: the average, minimum, and maximum thickness of the lithosphere in the oil and gas basin.

6. The system for predicting the richness or poorness of oil and gas basins using lithospheric thickness characteristics according to claim 5, characterized in that, The total normalization factor calculation module includes: The normalization factor calculation unit is used to apply the formula: The total normalized factor for the lithospheric thickness of hydrocarbon basins was obtained; where α i L represents the total normalized factor representing the thickness of the lithosphere in an oil and gas basin. i average L represents the average thickness of the lithosphere in an oil and gas basin. i min L represents the minimum thickness of the lithosphere in an oil and gas basin. i max This represents the maximum thickness of the lithosphere in an oil and gas basin.

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