Method, system, equipment and medium for characterizing oil enrichment degree and plane distribution rule

Abstract

The invention discloses a characterization method, system, equipment and medium for oil content enrichment degree and plane distribution law, and the method comprises the steps: obtaining logging sensitive parameters, calculating the weight coefficients of the related logging sensitive parameters, and constructing a mathematical relation between the oil content enrichment degree and the logging sensitive parameters; finally, the oil enrichment degree is calculated based on the logging sensitive parameters and the weight coefficients of the related logging sensitive parameters, an oil enrichment area is delineated on an oil enrichment degree contour map, and the oil and gas distribution rule can be described relatively clearly and accurately through calculation of the oil enrichment degree of a research area. Suggestions for edge expansion development and new potential target areas of the original building and producing areas can be provided respectively, and proposal suggestions are submitted according to the suggestions; according to the method, the oil-water distribution rule and the enrichment degree of the low-porosity-permeability reservoir can be rapidly analyzed, and a direction is pointed out for finding remaining oil of the reservoir in the next step and comprehensively treating blocks.

Description

Technical Field

[0001] This invention belongs to the field of petroleum exploration technology, specifically relating to a method, system, equipment, and medium for characterizing oil enrichment and planar distribution patterns. Background Technology

[0002] Currently, the description of oil and gas distribution and enrichment mainly uses parameters such as reserve abundance (oil and gas reserves per unit area) and single-reservoir coefficient (oil and gas reserves contained in a unit volume of oil and gas layer). These parameters are only applicable to blocks with reported reserves and cannot describe the distribution patterns of undiscovered oil and gas outside the development zone or the relatively rich areas of untapped remaining oil within the development zone. They are not very meaningful for submitting new potential production areas and tapping the potential of remaining oil in the development zone.

[0003] In established production areas with a large number of development wells, there is often a wealth of logging data. At the same time, by re-evaluating the shallow oil-bearing properties of the surrounding deep strata through the development of through wells, it is of practical significance for the reservoir oil-bearing information and oil and gas distribution within a certain range. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, device and medium for characterizing oil enrichment and planar distribution patterns, so as to solve the technical problem that the existing technology cannot describe the distribution patterns of oil and gas outside the development zone and the relatively rich areas of residual oil within the development zone.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A method for characterizing oil enrichment and planar distribution patterns, characterized by comprising the following steps:

[0007] Obtain sensitive logging parameters;

[0008] Calculate the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters;

[0009] The oil enrichment degree is calculated based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters;

[0010] Based on the oil enrichment level, an oil enrichment contour map was drawn, and the distribution pattern of the remaining oil in the reservoir was obtained by analyzing the oil enrichment contour map.

[0011] Furthermore, the specific steps for calculating the weighting coefficients of relevant well logging sensitive parameters based on the well logging sensitive parameters are as follows:

[0012] Analyze the relationship between logging sensitive parameters and oil well productivity;

[0013] Plot the relationship curves between relevant logging sensitive parameters and the initial stable daily production of the oil well;

[0014] Linear fitting was performed on the above relationship curves to obtain the determination coefficients of the relevant logging sensitive parameters;

[0015] The determination coefficients are normalized to obtain the weighting coefficients of the relevant logging sensitive parameters.

[0016] Furthermore, the logging-sensitive parameters include at least the sand-top elevation, reservoir thickness, reservoir resistivity, and porosity curves.

[0017] Furthermore, the normalization of the determination coefficients is performed using the Min-Max normalization method, expressed as follows:

[0018]

[0019] Among them, X new X represents the value of the logging sensitive parameter after conversion, and X represents the value of the logging sensitive parameter before conversion. max X represents the maximum value of the logging sensitive parameter. min This represents the minimum value of the logging sensitive parameter.

[0020] Furthermore, the relevant logging-sensitive parameters include sand-seeping top elevation and porosity curve.

[0021] Furthermore, the porosity curve is a time-of-flight acoustic curve.

[0022] Furthermore, the expression for the oil enrichment degree is:

[0023]

[0024] Where Q represents the reservoir's oil enrichment, H represents the normalized elevation of the reservoir's sand-bearing top, D represents the reservoir thickness, and R... t Indicates reservoir resistivity, This represents the normalized porosity logging curves (AC, DEN, CNL, etc.).

[0025] A characterization system for oil enrichment and planar distribution patterns includes an acquisition module, a calculation module, and an output module, wherein:

[0026] Acquisition module: Used to acquire well logging sensitive parameters;

[0027] Calculation module: used to calculate the weighting coefficients of relevant well logging sensitive parameters based on the well logging sensitive parameters;

[0028] The output module is used to calculate the oil enrichment degree based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters, and to draw the oil enrichment degree contour map.

[0029] A terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0030] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0031] Compared with the prior art, the present invention has the following beneficial technical effects:

[0032] This invention provides a method for characterizing oil enrichment and planar distribution patterns. By acquiring well logging sensitive parameters and calculating their weighting coefficients, a mathematical relationship between "oil enrichment" and these parameters is constructed. Finally, based on the well logging sensitive parameters and their weighting coefficients, the oil enrichment is calculated. By delineating oil-rich areas on an oil enrichment contour map, the calculation of oil enrichment in the study area can relatively clearly and accurately describe the oil and gas distribution patterns. Based on this, suggestions can be made for expanding the development of existing production areas and adding new potential target areas, and mobilization opinions can be submitted accordingly. Compared with existing technologies, which are complex and cumbersome, this invention can quickly analyze the oil-water distribution patterns and enrichment of low-porosity and permeable reservoirs, providing direction for the next stage of remaining oil discovery and comprehensive block management.

[0033] This invention studies logging-sensitive parameters such as sand top elevation, reservoir thickness, reservoir resistivity, and porosity curves. By comparing and analyzing the initial stable daily oil production of the main sub-layers in the study area with reservoir logging parameters, it investigates the relationship between these parameters and the initial production capacity of oil wells. A mathematical formula is constructed to establish the relationship between "oil enrichment" and logging-sensitive parameters, revealing the oil-water distribution pattern and enrichment of low-porosity and permeable reservoirs. This provides guidance for expanding development areas, selecting potential areas, and tapping remaining oil potential.

[0034] Preferably, the Min-Max normalization method is used to normalize the determination coefficient and logging sensitive parameters, which can eliminate the influence of the dimension and range of variation and ensure that the data are compared under the same dimension.

[0035] Preferably, the elevation of the sand-permeable top is the main controlling factor affecting the oil-bearing area of ​​structural reservoirs, and the porosity logging curve is the main controlling factor affecting the porosity of lithologic reservoirs. Therefore, the elevation of the sand-permeable top and the porosity curve are selected as relevant logging sensitive parameters.

[0036] Preferably, by analyzing the positive correlation between well logging sensitive parameters and oil well productivity, the relationship curve between well logging sensitive parameters and the initial stable daily production of oil wells can be linearly fitted. Attached Figure Description

[0037] Figure 1 This is a flowchart illustrating the characterization method of oil enrichment and planar distribution patterns in an embodiment of the present invention.

[0038] Figure 2 This is a graph showing the relationship between the initial stable daily oil production and the elevation of the sand-seeping top.

[0039] Figure 3 This is a diagram showing the effect of initial stable daily oil production on porosity logging curves.

[0040] Figure 4 This is a schematic diagram of the oil enrichment of reservoir X in an embodiment of the present invention. Detailed Implementation

[0041] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0042] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0043] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0044] The present invention will now be described in further detail with reference to the accompanying drawings:

[0045] like Figure 1 As shown, a method for characterizing oil enrichment and planar distribution patterns includes the following steps:

[0046] S1, obtain logging sensitive parameters;

[0047] S2, calculate the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters;

[0048] S3, calculate the oil enrichment degree based on well logging sensitive parameters and the weighting coefficients of relevant well logging sensitive parameters;

[0049] S4. Based on the oil enrichment degree, draw an oil enrichment degree contour map, analyze the oil enrichment degree contour map, and obtain the distribution pattern of the remaining oil in the reservoir.

[0050] Specifically, in step 1, the logging-sensitive parameters include the sand-top elevation, reservoir thickness, reservoir resistivity, and porosity curve; in step 2, the relevant logging-sensitive parameters are the sand-top elevation and porosity curve; and in step 3, the expression for oil enrichment is:

[0051]

[0052] Where Q represents the reservoir's oil enrichment, H represents the normalized elevation of the reservoir's sand-bearing top, D represents the reservoir thickness, and R... t Indicates reservoir resistivity, This represents the normalized porosity logging curves (AC, DEN, CNL, etc.). Based on the oil enrichment level, an oil enrichment contour map is plotted. Analysis of this contour map reveals the distribution pattern of remaining oil in the reservoir.

[0053] This invention studies logging-sensitive parameters such as sand top elevation, reservoir thickness, reservoir resistivity, and porosity curves. By comparing and analyzing the initial stable daily oil production of the main sub-layers in the study area with reservoir logging parameters, it investigates the relationship between these parameters and the initial production capacity of oil wells. A mathematical formula is constructed to establish the relationship between "oil enrichment" and logging-sensitive parameters, revealing the oil-water distribution pattern and enrichment of low-porosity and permeable reservoirs. This provides guidance for expanding development areas, selecting potential areas, and tapping remaining oil potential.

[0054] Example 1

[0055] This invention provides a method for characterizing oil enrichment and planar distribution patterns, specifically including the following steps:

[0056] S1, obtain logging sensitive parameters;

[0057] S2, calculate the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters;

[0058] S3. Calculate the oil enrichment degree based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters, and draw the oil enrichment contour map.

[0059] Specifically, the detailed process of calculating the weighting coefficients of relevant well logging sensitive parameters based on the well logging sensitive parameters in step 2 is as follows:

[0060] Analyze the relationship between logging sensitive parameters and oil well productivity;

[0061] Plot the relationship curves between relevant logging sensitive parameters and the initial stable daily production of the oil well;

[0062] Linear fitting was performed on the above relationship curves to obtain the determination coefficients of the relevant logging sensitive parameters;

[0063] The determination coefficients are normalized to obtain the weighting coefficients of the relevant logging sensitive parameters.

[0064] The relationship between analytical logging sensitive parameters and oil well productivity is as follows:

[0065] 1.1. Elevation of the sand-bearing top (H) and reservoir thickness (D):

[0066] The elevation of the permeable sand body refers to the height difference between the top of the reservoir's permeable sand body and sea level. Local structural high points are not only the main direction of oil and gas migration but also relatively favorable morphologies for oil and gas storage, significantly controlling and influencing the distribution and enrichment of the original oil, gas, and water in the reservoir. In structural-lithological or lithological-structural reservoirs, the elevation of the permeable sand body is positively correlated with the initial stable production capacity of oil wells.

[0067] Reservoir thickness is an important quantitative parameter characterizing the spatial distribution of reservoirs. The spatial distribution range of reservoirs directly determines the reserve scale of oil and gas fields. The effective thickness of reservoirs is closely related to the production capacity of oil wells, and its size is also an important factor affecting the production capacity of oil wells.

[0068] 1.2 Reservoir resistivity (R) t Porosity logging curves (AC, DEN, CNL, etc.):

[0069] According to the basic principle of Archie's formula, for pure, clay-free sandstone with 100% water content (i.e., sandstone with a water saturation of SW = 100%), its resistivity (R0) is different from the resistivity of formation water in the pores (R... w The resistivity (R) of an oil-bearing reservoir is directly proportional to the formation factor, denoted by F; while the resistivity of an oil-bearing reservoir is directly proportional to the formation factor. t The resistivity of the reservoir at 100% water content (R0) is directly proportional to its resistivity, and this ratio is called the resistivity index, denoted by I. The formula is as follows:

[0070]

[0071]

[0072] Where F represents the ratio of the resistivity of the reservoir when it is saturated with water to the resistivity of the formation water, dimensionless; I represents the ratio of the resistivity of the reservoir when it is saturated with oil to the resistivity of the reservoir when it is saturated with water, dimensionless; R0 represents the resistivity of the rock in the pure water layer, in Ω·m; R t R represents reservoir resistivity, with units of Ω·m. w Represents the resistivity of reservoir formation water, with units of Ω·m; S w φ represents the water saturation of the reservoir rock, a decimal; φ represents the porosity of the reservoir rock, a decimal; a, b, m, and n represent the regression parameters of the rock electrical test.

[0073] By substituting R0, the above formula can be derived as the original oil saturation S0 of the reservoir and the reservoir resistivity R. t The relationship is the formula for quantitatively evaluating the original oil saturation of a reservoir using resistivity logging:

[0074]

[0075] In the formula: S0 represents the oil saturation of the reservoir rock, a decimal; it can be seen from the above formula that the original oil saturation of the reservoir S0 is related to the reservoir resistivity R. t Reservoir rock porosity There is a positive correlation; as the original oil saturation of the reservoir increases, the degree of oil and gas enrichment also improves, and the production capacity of the oil well increases accordingly.

[0076] The specific process for calculating the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters is as follows:

[0077] The "sensitive parameter weighting coefficient" is defined as the importance of a certain data point among all data points. In this invention, the "seepage sand top elevation" is the main controlling factor affecting the oil-bearing area of ​​structural reservoirs, and the "porosity logging curve" is the main controlling factor affecting the porosity of lithological reservoirs. This invention will determine the sensitive parameter weighting coefficient through the following steps:

[0078] 1) In structural-lithological reservoirs, plot the relationship between the elevation of the sand-seeping top, the porosity logging curves and the initial stable daily production of the oil wells;

[0079] 2) Based on the judgment of the relationship between logging sensitive parameters and oil well productivity, the plotted curves are linearly fitted to obtain the determination coefficients of the sand-seeping top elevation and porosity logging curves respectively.

[0080] 3) The determination coefficients of the seepage top elevation and porosity logging curves are normalized, and C1 and C2 are used to represent the weight coefficients of structural reservoirs and lithologic reservoirs, respectively.

[0081]

[0082]

[0083] In the formula, C1 and C2 represent the weighting coefficients for structural reservoirs and lithologic reservoirs, respectively. The coefficient of determination represents the linear fit curve between the elevation of the sand infiltration top and the initial stable daily production of the oil well. The coefficient of determination represents the linear fit between the porosity logging curve and the initial stable daily production curve of the oil well.

[0084] The specific process for calculating oil enrichment based on well logging sensitive parameters and their weighting coefficients, and then drawing oil enrichment contour maps, is as follows:

[0085] Without affecting the comparison of results, the values ​​of logging sensitive parameters are approximately unified to the same order of magnitude to facilitate the calculation of oil enrichment. This invention uses the Min-Max normalization method to process the logging sensitive parameters, and the expression is as follows:

[0086]

[0087] Among them, X new X represents the value of the logging sensitive parameter after conversion, and X represents the value of the logging sensitive parameter before conversion. max X represents the maximum value of the logging sensitive parameter. min This represents the minimum value of the logging sensitive parameter.

[0088] The expression for oil enrichment Q is defined as follows:

[0089]

[0090] Where Q represents the reservoir's oil enrichment, H represents the normalized elevation of the reservoir's sand-bearing top, D represents the reservoir thickness, and R... t Indicates reservoir resistivity, This represents the normalized porosity logging curves (AC, DEN, CNL, etc.).

[0091] Based on the calculation results of oil enrichment, an oil enrichment contour map is drawn, and oil-rich areas are delineated on the contour map. The calculation of oil enrichment in the study area can relatively clearly and accurately describe the distribution pattern of oil and gas. Based on this, suggestions can be made for the expansion and development of the existing production area and for new potential target areas, and opinions on their utilization can be submitted accordingly.

[0092] Example 2

[0093] Taking reservoir X as an example, this invention is used to study the oil enrichment and planar distribution of reservoir X. The specific research steps are as follows:

[0094] 1. Analyze the relationship between logging sensitive parameters and oil well productivity:

[0095] Reservoir X is a typical structural-lithological reservoir. The elevation of the sand-permeable top is positively correlated with the initial stable production capacity of the wells. The original oil saturation S0 of the reservoir increases with the increase of reservoir thickness and is related to R. t Porosity logging curves (AC, DEN, CNL, etc.) all show a positive correlation; as the original oil saturation of the reservoir increases, the oil and gas enrichment also improves, and the oil well productivity increases accordingly.

[0096] 2. Determine the weighting coefficients for sensitive parameters;

[0097] 1) Plot the relationship curves between the sand-permeable top elevation, porosity logging curves (AC, DEN, CNL, etc.) and the initial stable daily production of the X reservoir, as shown in the figure. Figure 2 , Figure 3 As shown, the porosity logging curve used is the sonic transit time curve;

[0098] 2) Perform linear fitting on the plotted curves to obtain the determination coefficients for the sand-permeable top elevation and porosity logging curves (AC), respectively. It is 0.7653. It is 0.6405;

[0099] 3) Determine the elevation coefficient of the sand-seeping top. Determination coefficient of porosity logging curve Substituting these values ​​into the weighting coefficient calculation formula, we get C1 and C2 as 0.5444 and 0.4556, respectively.

[0100] 3. Normalization of logging sensitive parameters:

[0101] The original logging sensitive parameters of the target area are shown in Table 1. The logging curves (AC) for sand top elevation and porosity were normalized, and the results are shown in Table 2. The normalization formula is:

[0102]

[0103] Among them, X new X represents the value of the logging sensitive parameter after conversion, and X represents the value of the logging sensitive parameter before conversion. max X represents the maximum value of the logging sensitive parameter. min This represents the minimum value of the logging sensitive parameter.

[0104] Table 1 Original logging sensitive parameters of the target area

[0105]

[0106]

[0107]

[0108] Table 2. Logging Sensitive Parameters After Target Area Normalization

[0109]

[0110]

[0111] 4. Construct "oil enrichment" using well logging sensitive parameters and their weighting coefficients.

[0112] Substituting the logging sensitive parameters and their weighting coefficients from the above steps into the calculation formula for the oil enrichment Q of the target area, the results are shown in Table 3. The formula for the oil enrichment Q is:

[0113]

[0114] Where Q represents the reservoir's oil enrichment, H represents the normalized elevation of the reservoir's sand-bearing top, D represents the reservoir thickness, and R... t Indicates reservoir resistivity, This represents the normalized porosity logging curves (AC, DEN, CNL, etc.).

[0115] Table 3 Oil enrichment in the target area

[0116]

[0117]

[0118] 5. Draw an isopleth map of oil enrichment:

[0119] Based on the calculation results in step 4, contour lines of oil enrichment are drawn, such as... Figure 4 As shown, nine oil wells have been put into production in the newly discovered production area in the north, with an average daily oil production of 3.4 tons per well and an overall water cut of 27.29%. The cumulative oil production in one year is 10,272 tons, with stable production and low water cut, indicating good production results.

[0120] The oil and gas enrichment levels and distribution patterns within the target area also exhibit certain characteristics, showing a pattern of "widespread presence with localized enrichment," with significant overall differences. The central and southern parts of the development area have higher oil and gas enrichment levels, while the northern and northeastern parts have lower levels. Analysis suggests that in the later stages of reservoir development, development policies should focus on tapping the remaining oil potential in relatively rich areas.

[0121] Table 4 shows the current mining status of the newly established production area in the northern part of the target area.

[0122] Table 4. Statistics on the Current Mining Status of Newly Established Production Area in the Northern Part of the Target Area

[0123]

[0124]

[0125] This invention also provides a characterization system for oil enrichment and planar distribution patterns, comprising an acquisition module, a calculation module, and an output module, wherein:

[0126] Acquisition module: Used to acquire well logging sensitive parameters;

[0127] Calculation module: used to calculate the weighting coefficients of relevant well logging sensitive parameters based on the well logging sensitive parameters;

[0128] The output module is used to calculate the oil enrichment degree based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters, and to draw the oil enrichment degree contour map.

[0129] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0131] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0132] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the invention.

Claims

1. A method for characterizing oil enrichment and planar distribution patterns, characterized in that, Includes the following steps: Obtain sensitive logging parameters; Calculate the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters; The oil enrichment degree is calculated based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters; Based on the oil enrichment level, an oil enrichment contour map was drawn, and the distribution pattern of the remaining oil in the reservoir was obtained by analyzing the oil enrichment contour map.

2. The method for characterizing oil enrichment and planar distribution pattern according to claim 1, characterized in that, The specific steps for calculating the weighting coefficients of relevant well logging sensitive parameters based on well logging sensitive parameters are as follows: Analyze the relationship between logging sensitive parameters and oil well productivity; Plot the relationship curves between relevant logging sensitive parameters and the initial stable daily production of the oil well; Linear fitting was performed on the above relationship curves to obtain the determination coefficients of the relevant logging sensitive parameters; The determination coefficients are normalized to obtain the weighting coefficients of the relevant logging sensitive parameters.

3. The method for characterizing oil enrichment and planar distribution according to claim 1 or 2, characterized in that, The logging-sensitive parameters include at least the top elevation of the sand-seeping layer, reservoir thickness, reservoir resistivity, and porosity curves.

4. The method for characterizing oil enrichment and planar distribution pattern according to claim 2, characterized in that, The normalization of the determination coefficients is performed using the Min-Max normalization method, expressed as follows: Among them, X new X represents the value of the logging sensitive parameter after conversion, and X represents the value of the logging sensitive parameter before conversion. max X represents the maximum value of the logging sensitive parameter. min This represents the minimum value of the logging sensitive parameter.

5. The method for characterizing oil enrichment and planar distribution pattern according to claim 2, characterized in that, The relevant logging-sensitive parameters include the sand-seeping top elevation and porosity curve.

6. The method for characterizing oil enrichment and planar distribution pattern according to claim 5, characterized in that, The porosity curve is a time-of-flight acoustic curve.

7. The method for characterizing oil enrichment and planar distribution pattern according to claim 1, characterized in that, The expression for the oil enrichment degree is: Where Q represents the reservoir's oil enrichment, H represents the normalized elevation of the reservoir's sand-bearing top, D represents the reservoir thickness, and R... t Indicates reservoir resistivity, This represents the normalized porosity logging curves (AC, DEN, CNL, etc.).

8. A characterization system for oil enrichment and planar distribution patterns, characterized in that, It includes an acquisition module, a calculation module, and an output module, among which: Acquisition module: used to acquire well logging sensitive parameters; Calculation module: used to calculate the weighting coefficients of relevant well logging sensitive parameters based on the well logging sensitive parameters; The output module is used to calculate the oil enrichment degree based on the logging sensitive parameters and the weighting coefficients of the relevant logging sensitive parameters, and to draw the oil enrichment degree contour map.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-7.

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