Method for quantitatively evaluating oil and gas accumulation in deep concave area

Abstract

The invention relates to the technical field of exploration and development of petroleum and natural gas geological resources, and provides a method for quantitatively evaluating oil and gas accumulation in a deep concave area. The method comprises the following steps: according to a deep concave area oil and gas accumulation source reservoir combination matching principle, dividing deep concave area oil and gas accumulation dimensions into spatial combination and quantitative evaluation; three evaluation parameters of a reservoir in the deep concave area and three evaluation parameters of hydrocarbon source rocks in the deep concave area are screened out; obtaining values of three sub-indexes in the comprehensive evaluation index of the reservoir in the deep concave area and values of three sub-indexes in the comprehensive evaluation index of the hydrocarbon source rock in the deep concave area; respectively setting three corresponding space combination influence indexes; and processing to obtain a deep concave area oil and gas reservoir formation quantitative evaluation index, and performing deep concave area oil and gas reservoir formation quantitative evaluation of source reservoir combination matching according to the deep concave area oil and gas reservoir formation quantitative evaluation index. According to the method, the oil and gas accumulation potential of the deep concave area can be rapidly and quantitatively evaluated, the working efficiency is greatly improved, and the research cost is saved.

Description

Technical Field

[0001] This invention relates to the field of exploration and development technology of petroleum and natural gas geological resources, and in particular to a method for quantitatively evaluating oil and gas reservoirs in deep depressions. Background Technology

[0002] Hydrocarbon accumulation is a geological process in sedimentary basins where oil and natural gas, after being generated, migrate through conduits and eventually fill traps to form reservoirs. With the continuous advancement of exploration, deep depressions are a crucial area for future exploration. A source-reservoir assemblage refers to a regularly arranged combination of source rocks and reservoirs closely adjacent to each other in a stratigraphic profile. In the research and development of hydrocarbons in deep depressions, it is essential to thoroughly study the relationship between source and reservoir configurations within these assemblages to gain a deeper understanding of the hydrocarbon accumulation process, the distribution patterns of hydrocarbons, and to provide crucial guidance for future exploration and development in these areas.

[0003] However, as a new field, the exploration level of deep depressions is currently low, and there is a lack of research on hydrocarbon accumulation in deep depressions, as well as an effective method for evaluating the hydrocarbon accumulation potential of deep depressions. Summary of the Invention

[0004] In view of this, the present invention provides a method for quantitatively evaluating hydrocarbon accumulation in deep depressions, in order to solve the technical problem in the prior art that the relationship between source and reservoir configuration in source-reservoir combinations cannot be obtained, which leads to the inability to evaluate the hydrocarbon accumulation potential in deep depressions.

[0005] This invention provides a method for quantitatively evaluating hydrocarbon accumulation in deep depressions, comprising:

[0006] S1. Based on the matching principle of source-reservoir combination in deep depressions, the dimensions of hydrocarbon accumulation in deep depressions are divided into spatial combination and quantitative evaluation.

[0007] S2. Based on the quantitative evaluation, according to the influencing factors on the quality evaluation of deep depression reservoirs and source rocks, three evaluation parameters for deep depression reservoirs and three evaluation parameters for deep depression source rocks are selected respectively.

[0008] S3. Establish a comprehensive evaluation index for deep depression reservoirs and a comprehensive evaluation index for deep depression source rocks. Establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the three evaluation parameters of the deep depression reservoirs. Also, establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression source rocks and the three evaluation parameters of the deep depression source rocks. Obtain the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression source rocks.

[0009] S4. Divide the spatial combinations into three types, and set corresponding spatial combination influence indices for each of the three types;

[0010] S5. Based on the values ​​of the three spatial combination influence indices, the three sub-indices in the comprehensive evaluation index of reservoirs in the deep depression area, and the three sub-indices in the comprehensive evaluation index of source rocks in the deep depression area, obtain the quantitative evaluation index of hydrocarbon accumulation in the deep depression area. Based on the quantitative evaluation index of hydrocarbon accumulation in the deep depression area, perform quantitative evaluation of hydrocarbon accumulation in the deep depression area by matching source and reservoir combinations.

[0011] Furthermore, the three evaluation parameters for the deep depression reservoir include: reservoir thickness, porosity, and permeability; the three evaluation parameters for the deep depression source rock include: source rock thickness, total organic carbon content, and vitrinite reflectance. Specifically, the reservoir thickness, porosity, permeability, and source rock thickness are benefit-type indicators; the total organic carbon content and vitrinite reflectance are interval-type indicators.

[0012] The comprehensive evaluation index of the deep depression reservoir includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three; the comprehensive evaluation index of the deep depression source rock includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three.

[0013] Furthermore, the total organic carbon content and the vitrinite reflectance are interval-type indicators. For each interval-type indicator, there is a target interval. The values ​​within the target interval are positively correlated with the source rock quality in ascending order.

[0014] Furthermore, the target interval is [0, 1].

[0015] Furthermore, the expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of the deep depression reservoir and the three evaluation parameters of the deep depression reservoir are as follows:

[0016]

[0017]

[0018]

[0019] Where a1 represents reservoir comprehensive evaluation index one, a2 represents reservoir comprehensive evaluation index two, a3 represents reservoir comprehensive evaluation index three, H(c) represents reservoir thickness, Φ represents porosity, and K represents permeability.

[0020] Furthermore, the expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of source rocks in the deep depression area and the three evaluation parameters of the source rocks in the deep depression area include:

[0021]

[0022]

[0023]

[0024] Where b1 represents the first comprehensive evaluation index of source rocks, b2 represents the second comprehensive evaluation index of source rocks, b3 represents the third comprehensive evaluation index of source rocks, and H(t) represents the thickness of the source rocks. min H(t) represents the lower limit of the thickness of the source rock. max Indicates the upper limit of the thickness of the source rock;

[0025] TOC represents total organic carbon content. min The lower limit of total organic carbon content, TOC max This indicates the upper limit of total organic carbon content.

[0026] This indicates the lower limit of the optimal range for total organic carbon content. Ro represents the upper limit of the optimal range for total organic carbon content, and Ro represents the vitrinite reflectance. min Ro represents the lower limit of the reflectance of vitrinite. max This indicates the upper limit of the reflectivity of vitrinite.

[0027] This represents the lower limit of the optimal range for vitrinite reflectivity. This represents the upper limit of the optimal range for vitrinite reflectivity.

[0028] Furthermore, the three spatial combination influence indices include: the lower-generation upper-reservoir type influence index, the upper-generation lower-reservoir type influence index, and the interlayer type influence index.

[0029] Furthermore, the lower-generation upper-reservoir type influence index is 1, the upper-generation lower-reservoir type influence index is 1.25, and the interlayer type influence index is 2.

[0030] Furthermore, the expression for the quantitative evaluation index of hydrocarbon accumulation in the deep depression area is as follows:

[0031]

[0032] Wherein, J represents the quantitative evaluation index of hydrocarbon accumulation in the deep depression area, C represents the influence index of three spatial combinations, A represents the comprehensive evaluation index of reservoirs in the deep depression area, and B represents the comprehensive evaluation index of source rocks in the deep depression area.

[0033] Furthermore, the quantitative evaluation index for hydrocarbon accumulation in the deep depression is positively correlated with the hydrocarbon accumulation potential.

[0034] The advantages of this invention compared to the prior art are:

[0035] 1. This invention uses the source-reservoir combination matching principle to quantitatively evaluate the hydrocarbon accumulation potential of deep depressions, and divides the hydrocarbon accumulation dimension of deep depressions into spatial combination and quantitative evaluation, providing a dimensional basis for the quantitative evaluation of hydrocarbon accumulation potential of deep depressions.

[0036] 2. Based on the influencing factors of the evaluation of reservoir and source rock quality in deep depression areas, this invention selects three evaluation parameters for reservoirs and three evaluation parameters for source rocks in deep depression areas, laying a data foundation for the quantitative evaluation of the hydrocarbon accumulation potential in deep depression areas.

[0037] 3. Based on three evaluation parameters of reservoirs and three evaluation parameters of source rocks in deep depressions, this invention obtains a quantitative evaluation index for hydrocarbon accumulation in deep depressions. This provides a simple and easy-to-implement method for quantitatively evaluating the hydrocarbon accumulation potential in deep depressions, enabling rapid quantitative evaluation of hydrocarbon accumulation potential in these areas, greatly improving work efficiency and saving research costs. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in this invention, the accompanying drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a flowchart of a method for quantitatively evaluating hydrocarbon accumulation in deep depressions, provided by an embodiment of the present invention. Detailed Implementation

[0040] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0041] The following will describe in detail, with reference to the accompanying drawings, a method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to the present invention.

[0042] Figure 1 This is a flowchart illustrating a method for quantitatively evaluating hydrocarbon accumulation in deep depressions, as provided in an embodiment of the present invention. Figure 1 As shown, the method for quantitatively evaluating hydrocarbon accumulation in deep depressions includes:

[0043] S1. Based on the matching principle of source-reservoir combination in deep depressions, the dimensions of hydrocarbon accumulation in deep depressions are divided into spatial combination and quantitative evaluation.

[0044] In one embodiment, the quality of source rocks and reservoirs in deep depressions, along with their spatial matching and combination, are decisive factors in hydrocarbon accumulation and enrichment in these areas. Therefore, based on the source-reservoir combination matching principle for hydrocarbon accumulation in deep depressions, two dimensions of hydrocarbon accumulation are defined: spatial combination and quantitative evaluation. The source-reservoir combination matching principle for hydrocarbon accumulation in deep depressions is a set of rules formulated based on the characteristics of source-reservoir combinations in deep depressions.

[0045] S2. Based on the quantitative evaluation, according to the influencing factors on the quality evaluation of deep depression reservoirs and source rocks, three evaluation parameters for deep depression reservoirs and three evaluation parameters for deep depression source rocks are selected respectively.

[0046] The three evaluation parameters for the deep depression reservoir include: reservoir thickness, porosity, and permeability; the three evaluation parameters for the deep depression source rock include: source rock thickness, total organic carbon content, and vitrinite reflectance.

[0047] Among them, the reservoir thickness, porosity, permeability, and source rock thickness are efficiency-type indicators; the total organic carbon content and vitrinite reflectance are interval-type indicators.

[0048] The total organic carbon content and the vitrinite reflectance are interval-type indicators. For each interval-type indicator, there is a target interval. The values ​​within the target interval are positively correlated with the source rock quality in ascending order.

[0049] The target interval is [0, 1].

[0050] In one embodiment, since the total organic carbon content and the vitrinite reflectance are interval-type indicators, the total organic carbon content has a target interval, i.e., an optimal interval value, within which the source rock quality is best. The target interval is [0, 1]. The closer the source rock is to this interval, the better its quality; the closer the value within the target interval is to 1, the better its quality. If the total organic carbon content is too low or too high, or far from this interval, the source rock quality will deteriorate.

[0051] S3. Establish a comprehensive evaluation index for deep depression reservoirs and a comprehensive evaluation index for deep depression source rocks. Establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the three evaluation parameters of the deep depression reservoirs. Also, establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression source rocks and the three evaluation parameters of the deep depression source rocks. Obtain the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression source rocks.

[0052] The comprehensive evaluation index of the deep depression reservoir includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three; the comprehensive evaluation index of the deep depression source rock includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three.

[0053] In one embodiment, a comprehensive evaluation index for deep-depression reservoirs is established as A = a1*a2*a3, and a comprehensive evaluation index for deep-depression source rocks is established as B = b1*b2*b3. Here, A represents the comprehensive evaluation index for deep-depression reservoirs, and a1, a2, and a3 represent comprehensive evaluation indices one, two, and three, respectively. The attribute values ​​of these three indices belong to the range [0,1] and are positively correlated with A. B represents the comprehensive evaluation index for deep-depression source rocks, and b1, b2, and b3 represent comprehensive evaluation indices one, two, and three, respectively. The attribute values ​​of these three indices belong to the range [0,1] and are positively correlated with B.

[0054] The expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of the deep depression reservoir and the three evaluation parameters of the deep depression reservoir are as follows:

[0055]

[0056]

[0057]

[0058] Where a1 represents reservoir comprehensive evaluation index one, a2 represents reservoir comprehensive evaluation index two, a3 represents reservoir comprehensive evaluation index three, H(c) represents reservoir thickness, Φ represents porosity, and K represents permeability. For H(c), Φ, and K, the relationship with reservoir quality is positive. In formulas (1)-(3), except for reservoir comprehensive evaluation index one, reservoir comprehensive evaluation index two, and reservoir comprehensive evaluation index three, all others are known.

[0059] The expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of source rocks in the deep depression area and the three evaluation parameters of the source rocks in the deep depression area include:

[0060]

[0061]

[0062]

[0063] Where b1 represents the first comprehensive evaluation index of source rocks, b2 represents the second comprehensive evaluation index of source rocks, b3 represents the third comprehensive evaluation index of source rocks, and H(t) represents the thickness of the source rocks. min H(t) represents the lower limit of the thickness of the source rock. max The upper limit of the thickness of the source rock is indicated by formulas (5) and (6), except for the comprehensive evaluation index of the source rock I, the comprehensive evaluation index of the source rock II, and the comprehensive evaluation index of the source rock III, all of which are known.

[0064] TOC represents total organic carbon content. min The lower limit of total organic carbon content, TOC max This indicates the upper limit of total organic carbon content.

[0065] This indicates the lower limit of the optimal range for total organic carbon content. Ro represents the upper limit of the optimal range for total organic carbon content, and Ro represents the vitrinite reflectance. min Ro represents the lower limit of the reflectance of vitrinite. max This indicates the upper limit of the reflectivity of vitrinite.

[0066] This represents the lower limit of the optimal range for vitrinite reflectivity. This represents the upper limit of the optimal range for vitrinite reflectivity.

[0067] Among them, H(t) is positively correlated with the quality of the source rock.

[0068] In one embodiment, since the total organic carbon content (TOC) and vitrinite reflectance (Ro) are interval-type indicators, the interval-type indicators TOC and Ro are treated in another way. H(c), Φ, K, and H(t) are benefit-type indicators, and are respectively substituted into formulas (1), (2), (3), and (4) to calculate and convert them into reservoir comprehensive evaluation indicators a1, a2, a3, and source rock comprehensive evaluation indicator b1. For TOC and Ro, which are interval-type indicators, they are respectively substituted into formulas (5) and (6) to calculate and convert them into source rock comprehensive evaluation indicators b2 and b3.

[0069] For example, the values ​​of each parameter in the calculation formula are set, and the specific values ​​are shown in Tables 1 and 2. Based on the actual situation, the parameters for the deep depression area are set according to the reservoir conditions. The calculated values ​​are: a1 = 1; a2 = 0.83; a3 = 0.9; b1 = 1; b2 = 1; b3 = 1.

[0070] Table 1. Main evaluation parameters of source rocks and reservoirs in the deep depression area.

[0071]

[0072] Table 2 Calculation Parameters for Comprehensive Evaluation Indicators of Reservoirs and Source Rocks

[0073]

[0074]

[0075] S4. Divide the spatial combinations into three types, and set corresponding spatial combination influence indices for each of the three types;

[0076] The three spatial combination influence indices include: the lower-generation upper-reservoir type influence index, the upper-generation lower-reservoir type influence index, and the interlayer type influence index.

[0077] The influence index of the lower-generation upper-reservoir type is 1, the influence index of the upper-generation lower-reservoir type is 1.25, and the influence index of the interlayer type is 2.

[0078] The expression for the quantitative evaluation index of hydrocarbon accumulation in the deep depression area is as follows:

[0079]

[0080] Wherein, J represents the quantitative evaluation index of hydrocarbon accumulation in the deep depression area, A represents the comprehensive evaluation index of reservoir in the deep depression area, B represents the comprehensive evaluation index of source rocks in the deep depression area, and C represents the three spatial combination influence indices. When the spatial combination influence index is the lower-source upper-reservoir type influence index, its value is 1; when the spatial combination influence index is the upper-source lower-reservoir type influence index, its value is 1.25; and when the spatial combination influence index is the interlayer type influence index, its value is 2.

[0081] In one embodiment, the closer the quantitative evaluation index of hydrocarbon accumulation in the deep depression is to 1, the better the source-reservoir matching in the deep depression and the greater the hydrocarbon accumulation potential.

[0082] This invention quantitatively evaluates the hydrocarbon accumulation potential of deep depressions by using the source-reservoir combination matching principle. It divides the hydrocarbon accumulation dimensions of deep depressions into spatial combination and quantitative evaluation, providing a dimensional basis for the quantitative evaluation of hydrocarbon accumulation potential in deep depressions. Based on the influencing factors on the quality evaluation of reservoirs and source rocks in deep depressions, three evaluation parameters for reservoirs and three evaluation parameters for source rocks are selected, laying a data foundation for the quantitative evaluation of hydrocarbon accumulation potential in deep depressions. Based on the three evaluation parameters for reservoirs and three evaluation parameters for source rocks in deep depressions, a quantitative evaluation index for hydrocarbon accumulation in deep depressions is obtained. This method is simple to operate, easy to implement, and enables rapid quantitative evaluation of hydrocarbon accumulation potential in deep depressions, greatly improving work efficiency and saving research costs.

[0083] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0084] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0085] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for quantitatively evaluating hydrocarbon accumulation in deep depressions, characterized in that, include: S1. Based on the matching principle of source-reservoir combination in deep depressions, the dimensions of hydrocarbon accumulation in deep depressions are divided into spatial combination and quantitative evaluation. S2. Based on the quantitative evaluation, according to the influencing factors on the quality evaluation of deep depression reservoirs and source rocks, three evaluation parameters for deep depression reservoirs and three evaluation parameters for deep depression source rocks are selected respectively. S3. Establish a comprehensive evaluation index for deep depression reservoirs and a comprehensive evaluation index for deep depression source rocks. Establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the three evaluation parameters of the deep depression reservoirs. Also, establish a one-to-one correspondence between the three sub-indices of the comprehensive evaluation index for deep depression source rocks and the three evaluation parameters of the deep depression source rocks. Obtain the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression reservoirs and the values ​​of the three sub-indices of the comprehensive evaluation index for deep depression source rocks. S4. Divide the spatial combinations into three types, and set corresponding spatial combination influence indices for each of the three types; S5. Based on the values ​​of the three spatial combination influence indices, the three sub-indices in the comprehensive evaluation index of reservoirs in the deep depression area, and the three sub-indices in the comprehensive evaluation index of source rocks in the deep depression area, obtain the quantitative evaluation index of hydrocarbon accumulation in the deep depression area. Based on the quantitative evaluation index of hydrocarbon accumulation in the deep depression area, perform quantitative evaluation of hydrocarbon accumulation in the deep depression area by matching source and reservoir combinations.

2. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The three evaluation parameters for the deep depression reservoir include: reservoir thickness, porosity, and permeability. The three evaluation parameters for the deep depression source rock include: source rock thickness, total organic carbon content, and vitrinite reflectance. Among these, the reservoir thickness, porosity, permeability, and source rock thickness are benefit-type indicators; the total organic carbon content and vitrinite reflectance are interval-type indicators. The comprehensive evaluation index of the deep depression reservoir includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three; the comprehensive evaluation index of the deep depression source rock includes three sub-indices: comprehensive evaluation index one, comprehensive evaluation index two, and comprehensive evaluation index three.

3. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 2, characterized in that, The total organic carbon content and the vitrinite reflectance are interval-type indicators. For each interval-type indicator, there is a target interval. The values ​​within the target interval are positively correlated with the source rock quality in ascending order.

4. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 3, characterized in that, The target interval is [0, 1].

5. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of the deep depression reservoir and the three evaluation parameters of the deep depression reservoir are as follows: Where a1 represents reservoir comprehensive evaluation index one, a2 represents reservoir comprehensive evaluation index two, a3 represents reservoir comprehensive evaluation index three, H(c) represents reservoir thickness, Φ represents porosity, and K represents permeability.

6. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The expressions for the one-to-one correspondence between the three sub-indices of the comprehensive evaluation index of source rocks in the deep depression area and the three evaluation parameters of the source rocks in the deep depression area include: Where b1 represents the first comprehensive evaluation index of source rocks, b2 represents the second comprehensive evaluation index of source rocks, b3 represents the third comprehensive evaluation index of source rocks, and H(t) represents the thickness of the source rocks. min H(t) represents the lower limit of the thickness of the source rock. max Indicates the upper limit of the thickness of the source rock; TOC represents total organic carbon content. min The lower limit of total organic carbon content, TOC max This indicates the upper limit of total organic carbon content. This indicates the lower limit of the optimal range for total organic carbon content. Ro represents the upper limit of the optimal range for total organic carbon content, and Ro represents the vitrinite reflectance. min Ro represents the lower limit of the reflectance of vitrinite. max This indicates the upper limit of the reflectivity of vitrinite. This represents the lower limit of the optimal range for vitrinite reflectivity. This represents the upper limit of the optimal range for vitrinite reflectivity.

7. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The three spatial combination influence indices include: the lower-generation upper-reservoir type influence index, the upper-generation lower-reservoir type influence index, and the interlayer type influence index.

8. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 7, characterized in that, The influence index of the lower-generation upper-reservoir type is 1, the influence index of the upper-generation lower-reservoir type is 1.25, and the influence index of the interlayer type is 2.

9. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The expression for the quantitative evaluation index of hydrocarbon accumulation in the deep depression area is as follows: Wherein, J represents the quantitative evaluation index of hydrocarbon accumulation in the deep depression area, C represents the influence index of three spatial combinations, A represents the comprehensive evaluation index of reservoirs in the deep depression area, and B represents the comprehensive evaluation index of source rocks in the deep depression area.

10. The method for quantitatively evaluating hydrocarbon accumulation in deep depressions according to claim 1, characterized in that, The quantitative evaluation index for hydrocarbon accumulation in deep depressions is positively correlated with hydrocarbon accumulation potential.

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