Recognition and analysis method, device and equipment for hydrocarbon reservoir and medium

Abstract

The invention discloses a hydrocarbon reservoir identification and analysis method, device and equipment and a medium, and relates to the technical field of reservoir evaluation, and the method comprises the steps: building a porosity logging curve according to the information of a hydrocarbon reservoir to be identified and analyzed, and obtaining a uranium value logging curve, a uranium-free gamma curve and a total gamma curve corresponding to the information of the hydrocarbon reservoir; based on the uranium-free gamma curve and the total gamma curve, whether the oil and gas reservoir accords with a preset high-uranium reservoir mode or not is judged, and if the oil and gas reservoir accords with the preset high-uranium reservoir mode, whether the oil and gas reservoir accords with a preset posterior elution uranium mine mode or not is judged based on the porosity logging curve and the uranium value logging curve; and if the oil and gas reservoir accords with the preset metagenetic eluviation uranium mine mode, identifying and analyzing the oil and gas reservoir by adopting a resistivity-porosity multi-dimensional cross plot method and based on the uranium value logging curve. According to the technical scheme, the problem that a traditional cross plot method is insufficient in oil and gas reservoir well logging identification and analysis can be solved, and the accuracy of oil and gas reservoir identification and analysis is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir evaluation, and particularly relates to a method, device, equipment and medium for identifying and analyzing oil and gas layers. Background Art

[0002] Oxygenated surface water or groundwater moves from a higher water level (basin margin) to a lower water level (basin center). The migration of uranium is carried by water and percolates downward through the bedrock, dissolving and oxidizing the primary tetravalent uranium therein. The stable hexavalent uranium after oxidation converges along the permeable layer and fracture zone, and is particularly enriched at the redox interface where fractures are developed, intergranular solution or mineral crystallization water exists, namely the "epigenetic leaching and accumulation high-uranium reservoir model". At present, most of the oil and gas layer logging identification methods rely on traditional crossplot methods such as "resistivity-porosity". In the application process of traditional crossplot methods, only lithology and stratigraphic crossplot are carried out, but reservoirs with the same stratigraphic position, the same lithology but different reservoir models are not identified, resulting in unclear identification of some reservoirs.

[0003] As can be seen from the above, how to solve the problem of the deficiency of traditional crossplot methods in the logging identification and analysis of oil and gas layers and improve the accuracy of oil and gas layer identification and analysis is a problem to be solved in this field. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for identifying and analyzing oil and gas layers, which can solve the problem of the deficiency of traditional crossplot methods in the logging identification and analysis of oil and gas layers and improve the accuracy of oil and gas layer identification and analysis. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses a method for identifying and analyzing oil and gas layers, including:

[0006] Establish a porosity logging curve according to the oil and gas layer information to be identified and analyzed, and obtain a uranium value logging curve, a uranium-free gamma curve and a total gamma curve corresponding to the oil and gas layer information;

[0007] Based on the uranium-free gamma curve and the total gamma curve, judge whether the oil and gas layer conforms to a preset high-uranium reservoir model. If the oil and gas layer conforms to the preset high-uranium reservoir model, then based on the porosity logging curve and the uranium value logging curve, judge whether the oil and gas layer conforms to a preset epigenetic leaching and accumulation uranium ore formation model;

[0008] If the oil and gas layer conforms to the preset epigenetic leaching and accumulation uranium ore formation model, then use the resistivity-porosity multi-dimensional crossplot method and based on the uranium value logging curve to realize the identification and analysis of the oil and gas layer.

[0009] Optionally, the establishing a porosity logging curve according to the oil and gas layer information to be identified and analyzed includes:

[0010] Obtain a target curve corresponding to the oil and gas reservoir information and reflecting the porosity size; the target curve is any one of a density curve, an acoustic curve, and a neutron curve;

[0011] Establish a porosity log curve based on the oil and gas reservoir information to be identified and analyzed and the curve.

[0012] Optionally, the determining whether the oil and gas reservoir conforms to a preset high-uranium reservoir mode based on the uranium-free gamma curve and the total gamma curve includes:

[0013] Compare the uranium-free gamma curve and the total gamma curve to obtain a comparison result;

[0014] Based on the comparison result, determine whether the uranium content in the oil and gas reservoir conforms to the preset uranium threshold in the preset high-uranium reservoir mode.

[0015] Optionally, the determining whether the oil and gas reservoir conforms to a preset epigenetic leaching uranium ore formation mode based on the porosity log curve and the uranium value log curve includes:

[0016] Arrange and match the porosity log curve and the uranium value log curve to obtain a matching result;

[0017] Based on the matching result, determine whether the uranium migration mode in the oil and gas reservoir conforms to the preset epigenetic leaching uranium ore formation mode.

[0018] Optionally, the implementing the identification and analysis of the oil and gas reservoir by using the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve includes:

[0019] Use the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve to generate a uranium-resistivity-porosity multi-dimensional crossplot;

[0020] Based on the uranium-resistivity-porosity multi-dimensional crossplot, implement the identification and analysis of the oil and gas reservoir.

[0021] Optionally, the using the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve to generate a uranium-resistivity-porosity multi-dimensional crossplot includes:

[0022] According to the preset projection directions, use the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve to generate multi-dimensional crossplot subgraphs corresponding to the projection directions; the uranium-resistivity-porosity multi-dimensional crossplot contains the multi-dimensional crossplot subgraphs.

[0023] Optionally, the implementing the identification and analysis of the oil and gas reservoir based on the uranium-resistivity-porosity multi-dimensional crossplot includes:

[0024] Based on each of the multi-dimensional cross-plot sub-graphs in the uranium-resistivity-porosity multi-dimensional cross-plot, the uranium migration and hydrocarbon migration identification and analysis and fluid property identification and analysis of the hydrocarbon reservoir are realized to obtain the comprehensive well logging analysis result of the hydrocarbon reservoir, so that the client can verify the accuracy of the comprehensive well logging analysis result based on the actual oil and gas testing result of the hydrocarbon reservoir.

[0025] In a second aspect, the present application discloses a hydrocarbon reservoir identification and analysis device, including:

[0026] A curve establishment module, configured to establish a porosity well logging curve according to the hydrocarbon reservoir information to be identified and analyzed;

[0027] A curve acquisition module, configured to acquire a uranium value well logging curve, a uranium-free gamma curve, and a total gamma curve corresponding to the hydrocarbon reservoir information;

[0028] A judgment module, configured to judge whether the hydrocarbon reservoir conforms to a preset high-uranium reservoir mode based on the uranium-free gamma curve and the total gamma curve. If the hydrocarbon reservoir conforms to the preset high-uranium reservoir mode, then judge whether the hydrocarbon reservoir conforms to a preset epigenetic leaching uranium ore formation mode based on the porosity well logging curve and the uranium value well logging curve;

[0029] A hydrocarbon reservoir identification and analysis module, configured to, if the hydrocarbon reservoir conforms to the preset epigenetic leaching uranium ore formation mode, adopt the resistivity-porosity multi-dimensional cross-plot method and realize the identification and analysis of the hydrocarbon reservoir based on the uranium value well logging curve.

[0030] In a third aspect, the present application discloses an electronic device, including:

[0031] A memory, configured to store a computer program;

[0032] A processor, configured to execute the computer program to implement the foregoing hydrocarbon reservoir identification and analysis method.

[0033] In a fourth aspect, the present application discloses a computer storage medium, configured to store a computer program; wherein, when the computer program is executed by a processor, the steps of the foregoing disclosed hydrocarbon reservoir identification and analysis method are implemented.

[0034] It can be seen that the present application provides a method for identifying and analyzing oil and gas reservoirs, including establishing a porosity log curve based on the oil and gas reservoir information to be identified and analyzed, obtaining a uranium value log curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas reservoir information; determining whether the oil and gas reservoir conforms to a preset high-uranium reservoir model based on the uranium-free gamma curve and the total gamma curve, and if the oil and gas reservoir conforms to the preset high-uranium reservoir model, determining whether the oil and gas reservoir conforms to a preset epigenetic leaching uranium ore formation model based on the porosity log curve and the uranium value log curve; if the oil and gas reservoir conforms to the preset epigenetic leaching uranium ore formation model, using the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve to realize the identification and analysis of the oil and gas reservoir. By comparing the uranium-free gamma curve with the total gamma curve, the present application determines whether the oil and gas reservoir conforms to the high-uranium reservoir model, and by comparing the porosity log curve with the uranium value log curve, determines whether the oil and gas reservoir conforms to the epigenetic leaching uranium ore formation model, so as to determine whether the reservoir type of the oil and gas reservoir is the epigenetic leaching high-uranium reservoir model. If so, based on the resistivity-porosity multi-dimensional crossplot method and the uranium value log curve, a uranium-resistivity-porosity multi-dimensional crossplot method is realized, and the uranium-resistivity-porosity multi-dimensional crossplot method is applied to realize the identification and analysis of the oil and gas reservoir, which can solve the problem of the deficiency of the traditional crossplot method in the log identification and analysis of oil and gas reservoirs and improve the accuracy of the identification and analysis of oil and gas reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without creative efforts.

[0036] Figure 1 It is a flowchart of a method for identifying and analyzing oil and gas reservoirs disclosed in the present application;

[0037] Figure 2 It is a flowchart of a method for identifying and analyzing oil and gas reservoirs disclosed in the present application;

[0038] Figure 3 It is a diagram of an epigenetic leaching uranium ore formation model and a fracture-cavity type oil and gas accumulation model disclosed in the present application;

[0039] Figure 4 It is a specific logging interpretation standard diagram of the third member of the Shahejie Formation in a work area disclosed in the present application;

[0040] Figure 5 It is a specific logging interpretation analysis diagram for identifying oil and gas reservoirs disclosed in the present application;

[0041] Figure 6 It is a left multi-dimensional crossplot sub-diagram disclosed in the present application;

[0042] Figure 7 A multi-dimensional intersection sub-graph on the lower side disclosed in the present application;

[0043] Figure 8 A multi-dimensional intersection sub-graph on the rear side disclosed in the present application;

[0044] Figure 9 A schematic structural diagram of an oil and gas layer identification and analysis device disclosed in the present application;

[0045] Figure 10 A structural diagram of an electronic device provided by the present application. Specific embodiments

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] Oxygen-containing surface water or groundwater moves from a higher water level (basin edge) to a lower water level (basin center). The migration of uranium is carried by water and seeps downward through the bedrock, dissolving and oxidizing the primary tetravalent uranium therein. The stable hexavalent uranium after oxidation converges along the permeable layer and fracture zone, especially enriches at the redox interface where fracture development zones, intergranular solutions or mineral crystallization water exist, namely the "epigenetic leaching and accumulation high-uranium reservoir mode". At present, most of the oil and gas layer logging identification methods rely on traditional crossplot methods such as "resistivity-porosity". In the application process of traditional crossplot methods, only lithology and stratigraphic crossplots are carried out, but reservoirs with the same layer and the same lithology but different reservoir modes are not identified, resulting in unclear identification of some reservoirs. As can be seen from the above, how to solve the problem of the deficiency of traditional crossplot methods in oil and gas layer logging identification and analysis and improve the accuracy of oil and gas layer identification and analysis is a problem to be solved in this field.

[0048] See Figure 1 As shown, the embodiments of the present invention disclose an oil and gas layer identification and analysis method, which may specifically include:

[0049] Step S11: Establish a porosity logging curve according to the oil and gas layer information to be identified and analyzed, and obtain a uranium value logging curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas layer information.

[0050] In this embodiment, after establishing the porosity log curve, a target curve corresponding to the oil and gas layer information and used to reflect the size of the porosity is obtained; the target curve is any one of a density curve, an acoustic curve, and a neutron curve; the porosity log curve is established based on the oil and gas layer information to be identified and analyzed and the curve.

[0051] Step S12: Based on the uranium-free gamma curve and the total gamma curve, determine whether the oil and gas layer conforms to a preset high-uranium reservoir model. If the oil and gas layer conforms to the preset high-uranium reservoir model, then based on the porosity log curve and the uranium value log curve, determine whether the oil and gas layer conforms to a preset epigenetic leaching uranium mineralization model.

[0052] In this embodiment, the uranium-free gamma curve and the total gamma curve are compared to obtain a comparison result; based on the comparison result, determine whether the uranium content in the oil and gas layer conforms to a preset uranium threshold in the preset high-uranium reservoir model. If the oil and gas layer conforms to the preset uranium threshold in the preset high-uranium reservoir model, then the porosity log curve and the uranium value log curve are arranged and matched to obtain a matching result; based on the matching result, determine whether the uranium migration mode in the oil and gas layer conforms to a preset epigenetic leaching uranium mineralization model.

[0053] Step S13: If the oil and gas layer conforms to the preset epigenetic leaching uranium mineralization model, then use the resistivity-porosity multi-dimensional cross-plot method and based on the uranium value log curve, realize the identification and analysis of the oil and gas layer.

[0054] In this embodiment, if the oil and gas layer conforms to the preset epigenetic leaching uranium mineralization model, then use the resistivity-porosity multi-dimensional cross-plot method and based on the uranium value log curve, generate a uranium-resistivity-porosity multi-dimensional cross-plot, and based on the uranium-resistivity-porosity multi-dimensional cross-plot, realize the identification and analysis of the oil and gas layer.

[0055] In this embodiment, a porosity log curve is established according to the oil and gas layer information to be identified and analyzed, and a uranium value log curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas layer information are obtained; based on the uranium-free gamma curve and the total gamma curve, it is determined whether the oil and gas layer conforms to a preset high-uranium reservoir mode. If the oil and gas layer conforms to the preset high-uranium reservoir mode, then based on the porosity log curve and the uranium value log curve, it is determined whether the oil and gas layer conforms to a preset epigenetic leaching uranium ore formation mode; if the oil and gas layer conforms to the preset epigenetic leaching uranium ore formation mode, the resistivity-porosity multi-dimensional crossplot method is used and based on the uranium value log curve to realize the identification and analysis of the oil and gas layer. Through the comparison between the uranium-free gamma curve and the total gamma curve, this application determines whether the oil and gas layer conforms to the high-uranium reservoir mode, and through the comparison between the porosity log curve and the uranium value log curve, it determines whether the oil and gas layer conforms to the epigenetic leaching uranium ore formation mode, so as to determine whether the reservoir type of the oil and gas layer is the epigenetic leaching high-uranium reservoir mode. If so, based on the resistivity-porosity multi-dimensional crossplot method and the uranium value log curve, the uranium-resistivity-porosity multi-dimensional crossplot method is realized, and the uranium-resistivity-porosity multi-dimensional crossplot method is applied to realize the identification and analysis of the oil and gas layer, which can solve the problem of the deficiency of the traditional crossplot method in the log identification and analysis of the oil and gas layer and improve the accuracy of the log identification and analysis of the oil and gas layer.

[0056] See Figure 2 As shown, an oil and gas layer identification and analysis method is disclosed in an embodiment of the present invention, which may specifically include:

[0057] Step S21: Establish a porosity log curve according to the oil and gas layer information to be identified and analyzed, and obtain a uranium value log curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas layer information.

[0058] Step S22: Based on the uranium-free gamma curve and the total gamma curve, determine whether the oil and gas layer conforms to a preset high-uranium reservoir mode. If the oil and gas layer conforms to the preset high-uranium reservoir mode, then based on the porosity log curve and the uranium value log curve, determine whether the oil and gas layer conforms to a preset epigenetic leaching uranium ore formation mode.

[0059] Step S23: If the oil and gas layer conforms to the preset epigenetic leaching uranium ore formation mode, use the resistivity-porosity multi-dimensional crossplot method according to the preset projection directions and generate each multi-dimensional crossplot subgraph corresponding to each projection direction based on the uranium value log curve; the uranium-resistivity-porosity multi-dimensional crossplot contains each multi-dimensional crossplot subgraph, and based on each multi-dimensional crossplot subgraph in the uranium-resistivity-porosity multi-dimensional crossplot, realize the identification and analysis of uranium migration, oil and gas migration, and fluid property identification of the oil and gas layer to obtain the log comprehensive analysis result of the oil and gas layer, so that the client can verify the accuracy of the log comprehensive analysis result based on the actual oil and gas layer well testing result.

[0060] Most of the supergene leaching and sedimentation high-uranium reservoirs occur in oil and gas producing basins, where uranium ore and oil and gas reservoirs coexist. Utilizing the relationship of "accompanying uranium with oil", strengthening oil and gas exploration in favorable structural positions in uranium enrichment zones has important practical significance. Under the dual constraints of the supergene leaching and sedimentation uranium mineralization model and the oil and gas accumulation model, as Figure 3 shown, it can be concluded that the uranium value is positively correlated with both porosity and water saturation. Based on this, the uranium-resistivity-porosity crossplot method is proposed to identify oil and gas layers, effectively avoiding the deficiencies of traditional logging methods for oil and gas layers such as "resistivity-porosity".

[0061] Taking a specific embodiment as an example, Well A is an evaluation well located in the western sag zone of a certain work area. Based on the oil testing and production data of this area, the logging interpretation standard for the third member of the Shahejie Formation is established as follows: the deep induction resistivity value of the oil-bearing reservoir is not less than 3.5 Ω·m, and the dry porosity limit of the reservoir is 8.55. The specific parameters are as Figure 4 shown. The deep induction resistivity of Well A in the formation of 3954.3 - 3965.6 m is between 1.2 - 12 Ω·m, mostly between 1.3 - 3.0 Ω·m, as Figure 5 shown. If the logging evaluation is carried out according to the above interpretation standard, except that 2.5 m of the oil-water zone can be interpreted in the interval of 3954.3 - 3956.8 m of this reservoir, the rest are all interpreted as water layers.

[0062] Specifically, through analysis, it is found that the interval of 3951.7 - 3965.6 m is not the third member of the Shahejie Formation, but a fault fracture zone between the Neogene and Paleogene strata. The strata below show fault fracture zone characteristics compared with the strata above. More importantly, the uranium value in this section of the strata is extremely high, and the uranium value is proportional to the porosity size, that is, the larger the porosity, the higher the uranium value, which conforms to the uranium migration law of the supergene leaching and sedimentation high-uranium reservoir model. The discrimination method is to place the porosity logging curve (or density curve, acoustic curve, neutron curve, etc. that can reflect the porosity size) and the uranium value logging curve according to the left and right scales adapted to this block. It can be seen that at the location where the reservoir develops, where the physical properties are better, that is, where the density value is smaller, the uranium value is higher. The analysis shows that the oil and gas accumulation model conforms to the supergene leaching and sedimentation high-uranium reservoir model. For specific reference, see Figure 5 . Under the constraint of the "supergene leaching and sedimentation high-uranium reservoir model", adding the constraint of the uranium logging curve, breaking through the bondage of the conventional identification standard of "resistivity-porosity" for oil and gas layers, the "uranium-resistivity-porosity" crossplot method for identifying oil and gas layers is formed. Using the uranium-resistivity-porosity multi-dimensional crossplot method to Figures 6 - 8 is analyzed to realize the evaluation of Well A. The specific application method is described as follows. Among them, Figure 6 is the multi-dimensional crossplot subfigure in the left projection direction, Figure 7 is the multi-dimensional crossplot subfigure in the lower projection direction, Figure 8 is the multi-dimensional crossplot subfigure in the rear projection direction:

[0063] 3951.8 - 3954.3 m, with a thickness of 2.5 m: The uranium content in this section of the formation is low. For example, Figure 6 in the area where the projection point of the left side surface Δ is located, the uranium value is less than 7.5 ppm), the porosity is small (almost no porosity), and the resistivity is relatively high, 5.7 - 22.3 Ω·m. For example, Figure 7 in the area where the projection point of the bottom surface Δ is located, it is reflected that it is not a uranium migration channel in the "epigenetic leaching and uranium mineralization model", but serves as the roof for uranium migration and oil and gas migration, and is regarded as the cap rock of the oil and gas reservoir, so it is interpreted as a dry layer. 3954.3 - 3956.8 m, with a thickness of 2.5 m: The uranium content in this section of the formation is relatively high and the porosity is large. For example, Figure 6 in the area where the projection point of the solid dot · on the left side surface is located (uranium value 8 - 11 ppm, porosity 10 - 13%), the resistivity is relatively high, 4.3 - 13.4 Ω·m. For example, Figure 7 in the area where the projection point of the solid dot · on the bottom surface is located, the water saturation is relatively low, which reflects that it is a uranium migration channel in the "epigenetic leaching and uranium mineralization model". Due to the existence of the dense roof above it, oil and gas are likely to accumulate here. Due to the driving of oil and gas migration, coupled with the continuous downward migration of "uranium carried by water", part of the uranium precipitates and accumulates on the fracture surface and in the intergranular bound water, and the remaining uranium migrates downward along the permeable layer due to the gravitational differentiation of water. Thus, the uranium value of the oil and gas layer is relatively high rather than the highest. According to the multi-dimensional crossplot of uranium - resistivity - porosity, it is interpreted as an oil and gas layer. 3956.8 - 3961.9 m, with a thickness of 5.1 m: The uranium value of this section of the formation is the highest and the porosity is large. For example, Figure 6 in the area where the projection point of the hollow dot ○ on the left side surface is located (uranium value 8 - 19 ppm, porosity 10 - 12.5%), the resistivity is relatively high, 1.3 - 3.8 Ω·m. For example, Figure 7 in the area where the projection point of the hollow dot ○ of the bottom blue color is located, the water saturation is significantly higher than that of the oil and gas layer, which reflects that this layer is a uranium migration channel in the "epigenetic leaching and uranium mineralization model", and the bottom of the two layers is the main precipitation and enrichment area of uranium, resulting in the highest uranium value. Due to the driving of oil and gas migration, oil and gas accumulate in the upper part of the reservoir; at the same time, due to the downward migration of "uranium carried by water" and precipitation and enrichment at the bottom, the uranium value shows a characteristic of "low on the top and high on the bottom", reflecting that the water content gradually increases downward. The multi-dimensional crossplot method of uranium - resistivity - porosity indicates obvious water layer characteristics, so it is comprehensively interpreted as mainly an oil - water layer. During the well logging interpretation process, if the reservoir accumulation model is not considered and the multi-dimensional crossplot method of uranium - resistivity - porosity is used to identify the reservoir fluid properties, simply applying Figure 4Judging according to the interpretation standard, this section of the reservoir can only be interpreted as a water layer. 3961.9 - 3964.3m, with a thickness of 5.0m: The porosity of this section of the formation is less than 6.0%, indicating that this layer cannot serve as the main migration channel of uranium in the "epigenetic leaching and uranium mineralization model", but as the uranium migration bottom plate (only a small part of uranium migrates through and precipitates and enriches), so it is interpreted as a dry layer. After testing the formation in the well section of 3951.8 - 3965.6m of Well A, a high-yield industrial oil and gas flow was obtained. The highest daily liquid production reached 222.7 cubic meters, including 16,000 cubic meters of gas per day, 99.1 cubic meters of oil per day, and 123.6 cubic meters of water per day. The result of the well testing is an oil, gas and water pay zone, and the comprehensive logging interpretation conclusion is consistent with the well testing result. Under the dual constraints of the epigenetic leaching and uranium mineralization model and the hydrocarbon reservoir formation, according to the logging response characteristics, a uranium-resistivity-porosity multi-dimensional crossplot method is proposed to identify hydrocarbon reservoirs. This method is intuitive and effective, avoiding the deficiencies of traditional logging methods for hydrocarbon reservoirs such as "resistivity-porosity".

[0064] In this embodiment, a porosity logging curve is established according to the hydrocarbon reservoir information to be identified and analyzed, and a uranium value logging curve, a uranium-free gamma curve and a total gamma curve corresponding to the hydrocarbon reservoir information are obtained; based on the uranium-free gamma curve and the total gamma curve, it is judged whether the hydrocarbon reservoir conforms to a preset high-uranium reservoir model. If the hydrocarbon reservoir conforms to the preset high-uranium reservoir model, then based on the porosity logging curve and the uranium value logging curve, it is judged whether the hydrocarbon reservoir conforms to a preset epigenetic leaching and uranium mineralization model; if the hydrocarbon reservoir conforms to the preset epigenetic leaching and uranium mineralization model, then the resistivity-porosity multi-dimensional crossplot method is adopted and the uranium value logging curve is used to realize the identification and analysis of the hydrocarbon reservoir. In this application, by comparing the uranium-free gamma curve with the total gamma curve, it is judged whether the hydrocarbon reservoir conforms to the high-uranium reservoir model, and by comparing the porosity logging curve with the uranium value logging curve, it is judged whether the hydrocarbon reservoir conforms to the epigenetic leaching and uranium mineralization model, so as to determine whether the reservoir type of the hydrocarbon reservoir is the epigenetic leaching high-uranium reservoir model. If so, based on the resistivity-porosity multi-dimensional crossplot method and the uranium value logging curve, the uranium-resistivity-porosity multi-dimensional crossplot method is realized, and the uranium-resistivity-porosity multi-dimensional crossplot method is used to realize the identification and analysis of the hydrocarbon reservoir, which can solve the problem of the deficiency of the traditional crossplot method in the logging identification and analysis of hydrocarbon reservoirs and improve the accuracy of the logging identification and analysis of hydrocarbon reservoirs.

[0065] See Figure 9 As shown, an apparatus for identifying and analyzing hydrocarbon reservoirs according to an embodiment of the present invention specifically may include:

[0066] A curve establishment module 11, configured to establish a porosity logging curve according to the hydrocarbon reservoir information to be identified and analyzed;

[0067] A curve acquisition module 12, configured to acquire a uranium value logging curve, a uranium-free gamma curve and a total gamma curve corresponding to the hydrocarbon reservoir information;

[0068] A judgment module 13, configured to determine whether an oil and gas layer conforms to a preset high-uranium reservoir pattern based on a uranium-free gamma curve and a total gamma curve. If the oil and gas layer conforms to the preset high-uranium reservoir pattern, it is determined whether the oil and gas layer conforms to a preset epigenetic leaching uranium ore formation pattern based on the porosity logging curve and the uranium value logging curve;

[0069] An oil and gas layer identification and analysis module 14, configured to, if the oil and gas layer conforms to the preset epigenetic leaching uranium ore formation pattern, adopt a resistivity-porosity multi-dimensional cross-plot method and implement identification and analysis of the oil and gas layer based on the uranium value logging curve.

[0070] In this embodiment, a porosity logging curve is established according to the oil and gas layer information to be identified and analyzed, and a uranium value logging curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas layer information are obtained; it is determined whether the oil and gas layer conforms to a preset high-uranium reservoir pattern based on the uranium-free gamma curve and the total gamma curve. If the oil and gas layer conforms to the preset high-uranium reservoir pattern, it is determined whether the oil and gas layer conforms to a preset epigenetic leaching uranium ore formation pattern based on the porosity logging curve and the uranium value logging curve; if the oil and gas layer conforms to the preset epigenetic leaching uranium ore formation pattern, a resistivity-porosity multi-dimensional cross-plot method is adopted and identification and analysis of the oil and gas layer are implemented based on the uranium value logging curve. In this application, by comparing the uranium-free gamma curve with the total gamma curve, it is determined whether the oil and gas layer conforms to the high-uranium reservoir pattern. By comparing the porosity logging curve and the uranium value logging curve, it is determined whether the oil and gas layer conforms to the epigenetic leaching uranium ore formation pattern, so as to determine whether the reservoir type of the oil and gas layer is the epigenetic leaching high-uranium reservoir pattern. If so, a uranium-resistivity-porosity multi-dimensional cross-plot method is implemented based on the resistivity-porosity multi-dimensional cross-plot method and the uranium value logging curve, and the uranium-resistivity-porosity multi-dimensional cross-plot method is applied to implement identification and analysis of the oil and gas layer, which can solve the problem of the deficiency of the traditional cross-plot method in the logging identification and analysis of oil and gas layers and improve the accuracy of the identification and analysis of oil and gas layers.

[0071] In some specific embodiments, the curve establishment module 11 may specifically include:

[0072] A target curve acquisition module, configured to acquire a target curve corresponding to the oil and gas layer information and used to reflect the size of the porosity; the target curve is any one of a density curve, an acoustic curve, and a neutron curve;

[0073] A porosity logging curve establishment module, configured to establish a porosity logging curve based on the oil and gas layer information to be identified and analyzed and the curve.

[0074] In some specific embodiments, the judgment module 13 may specifically include:

[0075] A comparison module for comparing the uranium-free gamma curve and the total gamma curve to obtain a comparison result:

[0076] A first judgment module for judging whether the uranium content in the oil and gas layer meets a preset uranium threshold in a preset high-uranium reservoir model based on the comparison result.

[0077] In some specific embodiments, the judgment module 13 may specifically include:

[0078] An arrangement matching module for arranging and matching the porosity log curve and the uranium value log curve to obtain a matching result;

[0079] A second judgment module for judging whether the uranium migration mode in the oil and gas layer conforms to a preset epigenetic leaching uranium ore formation mode based on the matching result.

[0080] In some specific embodiments, the oil and gas layer identification and analysis module 14 may specifically include:

[0081] A crossplot generation module for generating a uranium-resistivity-porosity multi-dimensional crossplot by using the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve;

[0082] An oil and gas layer identification and analysis module for realizing the identification and analysis of the oil and gas layer based on the uranium-resistivity-porosity multi-dimensional crossplot.

[0083] In some specific embodiments, the oil and gas layer identification and analysis module 14 may specifically include:

[0084] A multi-dimensional crossplot sub-graph generation module for generating respective multi-dimensional crossplot sub-graphs corresponding to respective projection directions by using the resistivity-porosity multi-dimensional crossplot method and based on the uranium value log curve according to preset respective projection directions; each of the multi-dimensional crossplot sub-graphs is included in the uranium-resistivity-porosity multi-dimensional crossplot.

[0085] In some specific embodiments, the oil and gas layer identification and analysis module 14 may specifically include:

[0086] A well logging comprehensive analysis result determination module for realizing the identification and analysis of uranium migration, oil and gas migration and fluid property identification analysis of the oil and gas layer based on each of the multi-dimensional crossplot sub-graphs in the uranium-resistivity-porosity multi-dimensional crossplot to obtain a well logging comprehensive analysis result of the oil and gas layer, so that a client can verify the accuracy of the well logging comprehensive analysis result based on the actual oil and gas layer oil testing result.

[0087] Figure 10Schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. Among them, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the oil and gas layer identification and analysis method executed by the electronic device disclosed in any of the foregoing embodiments.

[0088] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows is any communication protocol applicable to the technical solution of the present application, and specific limitations are not imposed on it here; the input / output interface 25 is used to obtain external input data or output data to the outside, and its specific interface type can be selected according to specific application needs, and no specific limitations are made here.

[0089] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, a random access memory, a disk, or an optical disc, etc. The resources stored thereon include an operating system 221, a computer program 222, and data 223, etc., and the storage method can be temporary storage or permanent storage.

[0090] Among them, the operating system 221 is used to manage and control each hardware device on the electronic device 20 and the computer program 222 to implement the operation and processing of the data 223 in the memory 22 by the processor 21, and it can be Windows, Unix, Linux, etc. In addition to the computer program that can be used to complete the oil and gas layer identification and analysis method executed by the electronic device 20 disclosed in any of the foregoing embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks. In addition to the data transmitted from external devices received by the oil and gas layer identification and analysis device, the data 223 can also include data collected by its own input / output interface 25, etc.

[0091] The steps of the method or algorithm described in combination with the embodiments disclosed in this article can be directly implemented by hardware, software modules executed by a processor, or a combination of both. The software module can be placed in a random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, or any other form of storage medium well known in the technical field.

[0092] Further, an embodiment of the present application also discloses a computer-readable storage medium. A computer program is stored in the storage medium. When the computer program is loaded and executed by a processor, the steps of the oil and gas layer identification and analysis method disclosed in any of the foregoing embodiments are implemented.

[0093] Finally, it should also be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0094] The above has introduced in detail an oil and gas layer identification and analysis method, device, equipment and storage medium provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for identifying and analyzing oil and gas layers, characterized in that: include: Establishing a porosity logging curve according to the oil and gas layer information to be identified and analyzed, and obtaining a uranium value logging curve, a uranium-free gamma curve, and a total gamma curve corresponding to the oil and gas layer information; Based on the uranium-free gamma curve and the total gamma curve, judging whether the oil and gas layer conforms to the preset high-uranium reservoir mode; if the oil and gas layer conforms to the preset high-uranium reservoir mode, judging whether the oil and gas layer conforms to the preset epigenetic elution uranium ore mode based on the porosity logging curve and the uranium value logging curve; If the oil and gas layer meets the preset epigenetic elution uranium ore model, the resistivity-porosity multidimensional cross plot method is used and the uranium value logging curve is used to realize the identification and analysis of the oil and gas layer.

2. The oil and gas layer identification and analysis method according to claim 1, characterized in that: The step of establishing a porosity logging curve according to the oil and gas layer information to be identified and analyzed includes: Acquire a target curve corresponding to the oil and gas layer information and used to reflect the porosity; the target curve is any one of a density curve, an acoustic wave curve and a neutron curve; A porosity logging curve is established based on the oil and gas layer information to be identified and analyzed and the curve.

3. The oil and gas layer identification and analysis method according to claim 1, characterized in that: The method of judging whether the oil and gas layer meets the preset high-uranium reservoir mode based on the uranium-free gamma curve and the total gamma curve includes: Compare the uranium-free gamma curve with the total gamma curve to obtain a comparison result; Based on the comparison result, it is determined whether the uranium content in the oil and gas layer meets the preset uranium threshold in the preset high uranium reservoir mode.

4. The oil and gas layer identification and analysis method according to claim 1, characterized in that: The determining whether the oil and gas layer conforms to a preset epigenetic elution uranium deposit model based on the porosity logging curve and the uranium value logging curve includes: Placing and matching the porosity logging curve and the uranium value logging curve to obtain a matching result; Based on the matching result, it is determined whether the migration pattern of uranium in the oil and gas layer conforms to the preset epigenetic elution uranium mineralization pattern.

5. The oil and gas layer identification and analysis method according to any one of claims 1 to 4, characterized in that: The method of using the resistivity-porosity multidimensional cross plot method and realizing identification and analysis of the oil and gas layer based on the uranium value logging curve includes: Using a resistivity-porosity multidimensional cross plot method and generating a uranium-resistivity-porosity multidimensional cross plot based on the uranium value logging curve; The identification and analysis of the oil and gas layer is achieved based on the uranium-resistivity-porosity multi-dimensional cross-plot.

6. The oil and gas layer identification and analysis method according to claim 5, characterized in that: The method of using the resistivity-porosity multidimensional cross plot method and generating a uranium-resistivity-porosity multidimensional cross plot based on the uranium value logging curve includes: According to each preset projection direction, a resistivity-porosity multidimensional intersection diagram method is adopted and based on the uranium value logging curve, each multidimensional intersection sub-diagram corresponding to each projection direction is generated; and the uranium-resistivity-porosity multidimensional intersection diagram contains each multidimensional intersection sub-diagram.

7. The oil and gas layer identification and analysis method according to claim 6, characterized in that: The identification and analysis of the oil and gas layer based on the uranium-resistivity-porosity multidimensional cross-plot includes: Based on each of the multidimensional intersection subgraphs in the uranium-resistivity-porosity multidimensional intersection graph, uranium migration and oil and gas migration identification analysis and fluid property identification analysis of the oil and gas layer are implemented to obtain the comprehensive logging analysis results of the oil and gas layer, so that the client can verify the accuracy of the comprehensive logging analysis results based on the actual oil and gas layer test results.

8. An oil and gas layer identification and analysis device, characterized in that: include: A curve building module is used to build a porosity logging curve based on the oil and gas layer information to be identified and analyzed; A curve acquisition module, used to acquire a uranium value logging curve, a uranium-free gamma curve and a total gamma curve corresponding to the oil and gas layer information; A judgment module, used to judge whether the oil and gas layer meets the preset high-uranium reservoir mode based on the uranium-free gamma curve and the total gamma curve, and if the oil and gas layer meets the preset high-uranium reservoir mode, then judge whether the oil and gas layer meets the preset epigenetic elution uranium ore mode based on the porosity logging curve and the uranium value logging curve; The oil and gas layer identification and analysis module is used to identify and analyze the oil and gas layer by using the resistivity-porosity multidimensional cross-plot method and based on the uranium value logging curve if the oil and gas layer meets the preset epigenetic elution uranium ore model.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the oil and gas layer identification and analysis method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store computer programs; wherein, when the computer program is executed by a processor, the oil and gas layer identification and analysis method as described in any one of claims 1 to 7 is implemented.

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