Method, apparatus, device, and medium for determining fluid mobility based on sedimentary structures

Abstract

This application discloses a method, apparatus, electronic device, and medium for determining fluid flowability based on sedimentary structures. The method includes: identifying a full-length thin-section image of a shale geological profile, dividing the shale into at least two monolayers, and for each monolayer, identifying the shale grain characteristics to determine the laminar groups and laminae contained within the monolayer; wherein the laminar types include silt laminae and mud laminae; for each monolayer, determining the fine-grained turbidity current sedimentary structures within the monolayer based on the characteristics of the laminar groups and laminae; and determining the flow properties of the fine-grained turbidity current and its transitions based on the fine-grained turbidity current sedimentary structures within the monolayer. This method determines the flow property transitions of fine-grained turbidity currents by identifying attenuated ripple textures, encircling textures, low-wave high-climbing ripple textures, and layered texture transitions in fine-grained turbidity current sediments, providing a basis for predicting high-quality reservoir development intervals and selecting favorable shale oil and gas zones and targets.

Description

Technical Field

[0001] This application relates to the field of shale oil and gas exploration and development technology, and in particular to a method, apparatus, electronic device and medium for determining fluid flowability based on sedimentary structures. Background Technology

[0002] Submarine sediment density currents, or underwater gravity currents, are among the largest sediment-carrying, most powerful, and longest-distance fluids on Earth. Their capacity is approximately 30 times the annual sediment load of global rivers, exceeding the volume of the largest landslides in the past 350,000 years. Submarine sediment density currents and sediments are not only crucial components of the global sediment cycle, nutrient transport, and pollutant transport, but also contain significant amounts of terrestrial and marine organic carbon, playing a vital role in regulating deep-sea organic carbon burial and influencing atmospheric CO2 concentrations. Submarine sediment density currents may harbor substantial amounts of oil and gas, making them an important area for deep-water oil and gas exploration.

[0003] In marine fine-grained sediments, fine-grained turbidite deposits are the most prevalent type of underwater sediment density current deposition. These deposits contain abundant shale oil and gas and are currently a hot topic in oil and gas exploration. Fine-grained turbidite deposits are divided into nine sections from bottom to top, T0-T8, each with distinctive lithological composition and sedimentary structures, resulting in varying reservoir qualities. Lithological composition and sedimentary structures are products of fluid flow properties. Therefore, determining fluid flow properties and their transformations can not only reconstruct the formation process of fine-grained turbidites but also predict the vertical distribution of high-quality shale reservoir sections. However, currently, there is no effective and accurate method for determining the flow properties of fine-grained turbidites. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and medium for determining fluid flowability based on sedimentary structures. By identifying attenuation ripple textures, encirclement textures, low-wave high-rise ripple textures, and layered gradient textures in fine-grained turbidite deposits, the fluidity properties of fine-grained turbidite are determined, providing a basis for predicting high-quality reservoir development sections and selecting favorable shale oil and gas zones and targets.

[0005] According to one aspect of this application, a method for determining fluid flowability based on sedimentary structures is provided, the method comprising:

[0006] The full-length thin section image of the shale geological strata is identified to divide the shale into at least two single layers. For each single layer, the characteristics of shale grains in the single layer are identified to determine the lamellar groups contained in the single layer and the lamellar groups contained in the lamellar layers. The lamellar types of the lamellars include silt lamellars and mud lamellars.

[0007] For each single layer, the fine-grained turbidity current sedimentary structures within the single layer are determined based on the lamellar groups and lamellar characteristics.

[0008] Based on the fine-grained turbidity current sedimentary structure within a single layer, the flow properties of the fine-grained turbidity current and its transitions were determined.

[0009] According to one aspect of this application, an apparatus for determining fluid flowability based on sedimentary structures is provided, the apparatus comprising:

[0010] The laminar texture identification module is used to identify full-scale thin section images of shale geological strata, divide the shale into at least two single layers, and for each single layer, identify the shale grain characteristics in the single layer to determine the laminar texture group contained in the single layer and the laminar texture group contained in the laminar texture; wherein, the laminar texture types include silt laminar texture and mud laminar texture.

[0011] The sedimentary structure determination module is used to determine the fine-grained turbidity current sedimentary structures within each single layer based on the lamellar groups and lamellar characteristics.

[0012] The fluidity property determination module is used to determine the fluidity properties and fluidity property transformations of fine-grained turbidity currents based on the fine-grained turbidity current depositional structure within a single layer.

[0013] According to another aspect of this application, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory that is communicatively connected to at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the method for determining fluid flowability based on depositional structures according to any embodiment of this application.

[0017] According to another aspect of this application, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute the method for determining fluid flowability based on depositional structures according to any embodiment of this application.

[0018] The technical solution of this application embodiment identifies full-scale thin-section images of shale geological strata, dividing the shale into at least two single layers. For each single layer, it identifies the shale grain characteristics within the single layer to determine the lamellar groups and lamellar layers contained within the lamellar groups. The lamellar types include silt lamellars and mud lamellars. For each single layer, based on the characteristics of the lamellar groups and lamellar layers, it determines the fine-grained turbidity current sedimentary structures within the single layer. Based on the fine-grained turbidity current sedimentary structures within the single layer, it determines the flow properties of the fine-grained turbidity current and its transitions. This solution determines the flow property transitions of fine-grained turbidity currents by identifying attenuated ripple textures, encircling textures, low-wave high-climbing ripple textures, and layered texture transitions in the fine-grained turbidity current sediments, providing a basis for predicting high-quality reservoir development sections and selecting favorable shale oil and gas zones and targets.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a method for determining fluid flowability based on sedimentary structures, provided as an embodiment of this application;

[0022] Figure 2a A first schematic diagram of the layer interface provided in this application embodiment;

[0023] Figure 2b The second schematic diagram of the layer interface provided in this application embodiment;

[0024] Figure 2c The third schematic diagram of the layer interface provided in this application embodiment;

[0025] Figure 2d The fourth schematic diagram of the layer interface provided in this application embodiment;

[0026] Figure 2e The fifth schematic diagram of the layer interface provided in this application embodiment;

[0027] Figure 2f The sixth schematic diagram of the layer interface provided in this application embodiment;

[0028] Figure 2g The seventh schematic diagram of the layer interface provided in this application embodiment;

[0029] Figure 3 A flowchart illustrating a method for determining fluid flowability based on sedimentary structures, provided as another embodiment of this application;

[0030] Figure 4a This is a first schematic diagram of a fine-grained turbidity flow structure provided in another embodiment of this application;

[0031] Figure 4b This is a second schematic diagram of a fine-grained turbidity flow structure provided in another embodiment of this application;

[0032] Figure 4c This is a third schematic diagram of a fine-grained turbidity flow structure provided in another embodiment of this application;

[0033] Figure 4d This is a fourth schematic diagram of a fine-grained turbidity flow structure provided in another embodiment of this application;

[0034] Figure 5 A schematic diagram of a device for determining fluid flowability based on depositional structures, provided for an embodiment of this application;

[0035] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0037] It should be noted that the terms "first," "second," "third," "fourth," "actual," "preset," etc., used in the specification, claims, and accompanying drawings of this application 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 this application 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 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.

[0038] Figure 1This document provides a flowchart of a method for determining fluid flowability based on sedimentary structures, applicable to the determination of fine-grained turbidity flow properties. This method can be executed by an apparatus for determining fluid flowability based on sedimentary structures, which can be implemented in hardware and / or software and is configured in an electronic device. Figure 1 As shown, the method includes:

[0039] S110. Identify the full-length thin section image of the shale geological layer profile, divide the shale into at least two single layers, and for each single layer, identify the shale grain characteristics in the single layer to determine the lamellar group contained in the single layer and the lamellar group contained in the lamellar layer; wherein, the lamellar type of the lamellar includes silt lamellar and mud lamellar.

[0040] The full-size thin section image is obtained by acquiring images of shale geological strata profiles. It allows for the acquisition of shale geological strata in a target area, obtaining slices of the shale geological strata profile. By observing the shale geological strata profile under a microscope and acquiring images, a microscopic image of the shale geological strata profile is obtained, which is the full-size thin section image. The full-size thin section image can be used to identify and divide the shale into at least two single layers.

[0041] Specifically, the full-length thin section image of the shale geological profile is identified, dividing the shale into at least two single layers, including:

[0042] Identify the full-length thin section images of shale geological strata and mark the lithological abrupt change surfaces, longitudinal abrupt change surfaces of grain size, compositional change surfaces, stratigraphic pinch-out interfaces, and biofouling surfaces from bottom to top;

[0043] Based on the marked interfaces of each single layer, the shale is divided into at least two single layers.

[0044] The stratigraphic boundaries of black shale can be identified based on lithological abrupt changes, vertical abrupt changes in grain size, compositional variations, stratigraphic pinch-outs (overlap, underlap, and erosion), and biofouling surfaces. Overlap is a geological phenomenon where a set of dipping strata successively overlaps upwards against the dip of a pre-existing sedimentary surface with a larger dip angle. Underlap is a set of originally dipping strata overlapping downwards at the base of a pre-existing horizontal or dipping surface. Cutter erosion is the lateral disappearance of a stratum due to erosion. Biofouling surfaces refer to bioturbation surfaces formed in a stratum where organisms live due to extremely low or no sedimentation rates. Figures 2a-2g As shown, Figures 2a-2g The red dividing line in the diagram represents the layer interface between different single layers, as determined by the aforementioned characteristics. Figures 2a-2g The red dividing line in the diagram represents the layer interface of different single layers, as determined by the aforementioned characteristics. Figure 2a It is a lithological abrupt change. Figure 2b For vertical abrupt changes in particle size, Figure 2c Due to changes in composition, Figure 2d For biological habitat, Figures 2e-2g The formation pinches out. Based on the stratigraphic boundaries, the shale can be divided into at least two single layers.

[0045] For each individual layer, multiple lamellar groups are identified, and within these groups, multiple lamellar layers are identified, which may contain various lamellar layers, such as silt lamellar layers and / or mud lamellar layers. Within each lamellar group, lamellar interfaces can be determined based on the grain size characteristics of the shale. Based on these interfaces, the individual layer is divided into multiple lamellar layers, and the lamellar type is determined according to the grain size characteristics within each layer, such as whether the layer is a silt lamellar or a mud lamellar.

[0046] In this embodiment of the application, identifying the characteristics of shale particles in a single layer to determine the lamellar groups contained in the single layer and the lamellar groups contained in the lamellar groups includes:

[0047] Within the single layer, the lamellar group interface is identified based on the weak erosion surface and micro-deposition discontinuity of the shale, and the single layer is divided into each lamellar group based on the lamellar group interface.

[0048] Within the lamellar group, each lamellar is divided according to the abrupt change surface of shale grain size to obtain each lamellar.

[0049] For each texture layer, the texture type is determined based on the characteristics of the particles in the texture layer and the pre-determined relationship between the characteristics of the particles and the texture type. The pre-determined relationship between the characteristics of the particles and the texture type includes: if the particle size of the particles whose color brightness is lower than the preset brightness and exceeds the preset proportion is in the range of 32 micrometers to 62.5 micrometers, then the texture type is a silt texture layer; if the particle size of the particles whose color brightness is higher than the preset brightness and exceeds the preset proportion is less than 32 micrometers, then the texture type is a mud texture layer.

[0050] For example, the lamellar group interface is identified based on the weak erosion surface and micro-depositional discontinuity of shale, and the single layer is divided into lamellar groups according to the lamellar group interface. The preset brightness can be determined according to the actual situation, for example, it can be a value of 125 pixels. The preset ratio can be determined according to the actual situation, for example, it can be 50%. In the lamellar group, each lamellar within the single layer is divided according to the abrupt change surface of shale grain size, and each lamellar is obtained. Further identification is performed on each lamellar. The correspondence between the characteristics of the particles and the lamellar type can be predetermined. For example, the grain size of silt lamellar is generally in the range of 32 micrometers to 62.5 micrometers, and the color brightness of the lamellar is lower than the preset brightness, while the grain size of mud lamellar is generally less than 32 micrometers, and the color brightness is higher than the preset brightness. For the lamellar that needs to be identified, if the brightness of the lamellar is lower than the preset brightness, and the grain size of the particles exceeding the preset ratio is in the range of 32 micrometers to 62.5 micrometers, then the lamellar can be identified as a silt lamellar according to the correspondence. If the brightness of the texture to be identified is higher than the preset brightness, and the particle size of the particles exceeding the preset proportion is less than 32 micrometers, then the texture type can be determined as mud texture based on the corresponding relationship.

[0051] S120. For each single layer, based on the lamellar group and lamellar characteristics within the single layer, determine the fine-grained turbidity current sedimentary structure within the single layer.

[0052] For example, the lamellar assemblages and lamellars within a single layer may possess unique characteristics that can reflect the sedimentary structure of fine-grained turbidity currents. These characteristics can be identified using full-size thin-section images, thus determining the features of the lamellar assemblages and lamellars within the single layer, and consequently identifying the fine-grained turbidity current sedimentary structure based on these characteristics.

[0053] Specifically, the correspondence between different lamellar sets and their characteristics and fine-grained turbidite sedimentary structures can be predetermined. After determining the lamellar sets and characteristics of a single layer of shale, the corresponding fine-grained turbidite sedimentary structures can be determined based on the correspondence. Alternatively, after determining the lamellar sets and characteristics of a single layer, a large model can be input along with prompts, and the large model can be used to search for the corresponding fine-grained turbidite sedimentary structures.

[0054] S130. Based on the fine-grained turbidity current sedimentary structure within a single layer, determine the flow properties of the fine-grained turbidity current and the transition of flow properties.

[0055] For example, fine-grained turbidity current sedimentary structures within a single layer can include attenuated ripple textures, encircling textures, low-wave high-climbing ripple textures, and layered gradient textures. These structures generally reflect the flow properties and transitions of fine-grained turbidity currents, exhibiting a corresponding relationship. Therefore, by identifying these structures, the flow properties and transitions of fine-grained turbidity currents can be determined. This allows for accurate identification of attenuated ripple textures, encircling textures, low-wave high-climbing ripple textures, and layered gradient textures within the sedimentary layers, providing a basis for predicting high-quality reservoir development intervals and selecting favorable shale oil and gas zones and targets.

[0056] The technical solution of this application embodiment identifies full-scale thin-section images of shale geological strata, dividing the shale into at least two single layers. For each single layer, it identifies the shale grain characteristics within the single layer to determine the lamellar groups and lamellar layers contained within the lamellar groups. The lamellar types include silt lamellars and mud lamellars. For each single layer, based on the characteristics of the lamellar groups and lamellar layers, it determines the fine-grained turbidity current sedimentary structures within the single layer. Based on the fine-grained turbidity current sedimentary structures within the single layer, it determines the flow properties of the fine-grained turbidity current and its transitions. This solution determines the flow property transitions of fine-grained turbidity currents by identifying attenuated ripple textures, encircling textures, low-wave high-climbing ripple textures, and layered texture transitions in the fine-grained turbidity current sediments, providing a basis for predicting high-quality reservoir development sections and selecting favorable shale oil and gas zones and targets.

[0057] Figure 3 This document provides a flowchart of a method for determining fluid flowability based on sedimentary structures, as another embodiment of this application. This embodiment is an optimization based on the above embodiment; schemes not described in detail in this embodiment are described in the above embodiment. Figure 3 As shown, the method in this embodiment of the application specifically includes the following steps:

[0058] S210. Identify the full-length thin section image of the shale geological layer profile, divide the shale into at least two single layers, and for each single layer, identify the shale grain characteristics in the single layer to determine the lamellar group contained in the single layer and the lamellar group contained in the lamellar layer; wherein, the lamellar type of the lamellar includes silt lamellar and mud lamellar.

[0059] S220. Identify the full-size thin-film image to determine the characteristics of the single-layer inner lamellae group and the lamellae; wherein, the characteristics of the single-layer inner lamellae group and the lamellae include the lamellae group type, lamellae group morphology, lamellae group intersection relationship, whether lamellae are developed inside the lamellae group, and the granularity gradient inside the lamellae group.

[0060] For example, full-scale thin section images can be identified to determine the characteristics of laminae groups and laminae within a single layer. These characteristics include laminae group type, morphology, intersecting relationships, presence or absence of laminae within the group, and grain size variation within the group. Laminae group type refers to cases where the laminae within the group include silt laminae and / or mud laminae. The morphology of the laminae group refers to its morphological features as displayed in the full-scale thin section image. The intersecting relationships of the laminae group refer to the parallel or intersecting relationships between the interfaces of the laminae group. Whether laminae are developed within the group refers to the number and type of laminae developed within the group. Grain size variation within the group refers to the change in grain size from bottom to top.

[0061] S230. Based on the characteristics of the single-layer inner lamellar group and the lamellars, and the pre-determined correspondence between the characteristics of the single-layer inner lamellar group and the lamellars and the fine-grained turbidity current sedimentary structure, the single-layer inner fine-grained turbidity current sedimentary structure is determined.

[0062] For example, the characteristics of the lamellar groups and lamellars within a single layer can be predetermined, along with their correspondence to fine-grained turbidity current structures. Different lamellar groups and lamellar characteristics correspond to different fine-grained turbidity current sedimentary structures. After determining the characteristics of the lamellar groups and lamellars within a single layer, the fine-grained turbidity current sedimentary structures corresponding to the characteristics of the lamellar groups and lamellars of that single layer are determined based on the correspondence.

[0063] In this embodiment of the application, the fine-grained turbidity current depositional structure is determined based on the characteristics of the monolayer inner lamellar group and the lamellars, and the predetermined correspondence between the characteristics of the monolayer inner lamellar group and the lamellars and the fine-grained turbidity current depositional structure, including:

[0064] If the characteristics of the lamellar groups and lamellars in a single layer are as follows: silty lamellar groups are developed and superimposed on each other, multiple silty lamellars can be identified in the silty lamellar groups, the lamellar group interface is lenticular, and the silty lamellar group interface intersects with the lamellar group interface, then the fine-grained turbidity depositional structure in the single layer is determined to be a decaying ripple texture.

[0065] If the characteristics of the single-layer inner laminar group and the laminar group are: the development of silt laminar group and mud laminar group, which are superimposed on each other, multiple silt laminar groups cannot be identified in the silt laminar group, and the interface of the silt laminar group is lenticular, then the fine-grained turbidity sedimentary structure in the single layer is determined to be a low-wave high-climbing ripple texture.

[0066] If the characteristics of the single-layer inner laminar group and the laminar group are: multiple silt laminar groups are developed, and there are deformed silt laminar groups with syncline slope less than the preset slope and anticline slope greater than the preset slope, and the overlying silt laminar group and the underlying silt laminar group of the deformed silt laminar group are also deformed silt laminar groups, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a wrapping texture.

[0067] If the characteristics of the single-layer inner laminae group and the laminae are as follows: the laminae group interface is plate-shaped and continuous with a clarity higher than the preset clarity, the laminae interface is parallel to the laminae group interface, and there is a silt laminae group inside the single laminae group that gradually transitions upward to mud laminae, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a layered laminae graded texture.

[0068] For example, such as Figures 4a-4d As shown, if silty textured layers develop and overlap, multiple silty textured layers can be identified within each layer. The interfaces of the textured layers are lenticular, and the interfaces of the silty textured layers intersect with each other, as shown in the example. Figure 4a As shown, the fine-grained turbidity current depositional structure within this single layer is determined to be an attenuated ripple texture. Figure 4a The upper part consists of two silty sand textured layers, and the lower part also consists of two silty sand textured layers. The two silty sand textured layers overlap, that is, they are superimposed on each other. Figure 4a The structure contains raised, lenticular silty sand layers. The edge of the entire silty sand layer intersects with the silty sand layer composed of black dots forming a line within it. If multiple silty sand layer groups develop, and there are deformed silty sand layer groups with a syncline slope less than the preset slope and an anticline slope greater than the preset slope, the overlying and underlying silty sand layer groups of these deformed silty sand layer groups are also deformed silty sand layer groups, such as... Figure 4b As shown, this confirms that the fine-grained turbidity current depositional structure within the monolayer is a convoluted texture. Figure 4b In the middle, the depression in the upper edge is a syncline, with a slope less than the preset slope, meaning it is relatively wide and smooth; the convexity is an anticline, with a slope greater than the preset slope, meaning it is dense and sharp. The overlying and underlying silt-textured strata of this deformed silt-textured strata are also deformed silt-textured strata, meaning they also exhibit the same structure: a syncline slope less than the preset slope and an anticline slope greater than the preset slope. If silt-textured strata and mud-textured strata develop and overlap, and multiple silt-textured strata cannot be identified within the silt-textured strata (i.e., the interface is indistinct), and the interface of the silt-textured strata is lenticular, then the fine-grained turbidity current sedimentary structure within this single layer is determined to be a low-wave, high-climbing wavy texture, such as... Figure 4c As shown. If the lamellar interface is plate-like and continuous with a clarity higher than the preset clarity, the lamellar interface is parallel to the lamellar group interface, and within a single lamellar group, there is a silt lamellar group that gradually transitions upwards to a mud lamellar layer, then the fine-grained turbidite sedimentary structure within this single layer is determined to be a layered, graded texture, such as... Figure 4d As shown.

[0069] S240. Based on the predetermined fine-grained turbidity current sedimentary structures, the flow properties of fine-grained turbidity currents, and the corresponding relationship of flow property transformation, determine the flow properties of fine-grained turbidity currents corresponding to the fine-grained turbidity current sedimentary structures within a single layer and the flow property transformation.

[0070] In this embodiment of the application, based on a predetermined correspondence between fine-grained turbidity current depositional structures, the flow properties of fine-grained turbidity currents, and the transitions in flow properties, the flow properties of fine-grained turbidity currents corresponding to the intralayer fine-grained turbidity current depositional structures and the transitions in flow properties are determined, including:

[0071] If the fine-grained turbidity deposits in a single layer have a decaying ripple texture, then the flow properties of the fine-grained turbidity are turbulent, and the flow properties are transformed into turbulence.

[0072] If the fine-grained turbidity current sedimentary structure in a single layer is a low-wave, high-climbing ripple texture, then the flow properties of the fine-grained turbidity current are upper transitional plug flow, and the flow properties are transformed into transitional flow.

[0073] If the fine-grained turbidity deposits within a single layer are encircling textures, then the flow properties of the fine-grained turbidity currents are transitional flow with enhanced turbulence in the lower transitional plug flow, and the flow properties are transformed into transitional flow.

[0074] If the fine-grained turbidity current sedimentary structure within a single layer has a layered, graded texture, then the flow properties of the fine-grained turbidity current are laminar flows, and the flow properties are transformed into laminar flows.

[0075] For example, the correspondence between fine-grained turbidite sedimentary structures, the flow properties of fine-grained turbidites, and the transitions in flow properties can be predetermined. That is, different fine-grained turbidite sedimentary structures correspond to different flow properties and transitions in flow properties. After determining the fine-grained turbidite sedimentary structures within a single shale layer, the flow properties and transitions of the fine-grained turbidite corresponding to that structure can be determined based on the correspondence, as exemplified in Table 1.

[0076] Table 1

[0077]

[0078] This application provides a method for determining fluid flowability based on sedimentary structures. The method involves identifying a full-scale thin-section image to determine the characteristics of lamellar groups and laminae within a single layer. These characteristics include lamellar group type, morphology, intersecting relationships, presence of laminae within the lamellar group, and grain size variations within the lamellar group. Based on these characteristics and a pre-determined correspondence between the lamellar groups and fine-grained turbidite sedimentary structures, the fine-grained turbidite sedimentary structure within the single layer is determined. This method can accurately identify fine-grained turbidite sedimentary structures by recognizing full-scale thin-section images, thereby accurately determining the flow properties of fine-grained turbidite currents.

[0079] This application provides a specific implementation method for determining fluid flowability based on sedimentary structures, including:

[0080] I. Identification and Classification of Laminae, Laminar Groups, and Layers

[0081] In black shale, the basic units that make up shale are layers, lamellar groups, and lamellars. Multiple genetically related lamellars form a lamellar group, and multiple genetically similar lamellars or lamellar groups form a layer. The specific operating steps are as follows:

[0082] Step 1: Identification of Layer Interfaces and Single-Layer Division. Based on images from a large thin section orthogonally polarized microscope, and according to markers such as lithological abrupt changes, vertical abrupt changes in grain size, compositional variations, stratigraphic pinch-outs (overlap, underlap, and erosion), and biofouling surfaces, the layer interfaces of the black shale are identified sequentially from bottom to top, such as... Figures 2a-2g As shown. The specific operation process is as follows:

[0083] 1) Identification of lithological transition surfaces. Based on large thin section orthogonal polarized light microscope images, the lithological characteristics of black shale were observed from bottom to top, and the interfaces where the lithology suddenly changes were identified.

[0084] 2) Identification of abrupt grain size changes. Based on large thin section orthogonal polarized light microscope images, the grain size characteristics of black shale were observed from bottom to top, and the interfaces where grain size changes abruptly were identified.

[0085] 3) Identification of abrupt compositional changes. Based on large thin section orthogonal polarized light microscope images, the composition of the black shale was observed from bottom to top, and the interfaces where the composition changed abruptly were identified.

[0086] 4) Identification of stratigraphic pinch-out (overlap, underlap, and erosion) interfaces. Based on large thin section orthogonal polarized light microscope images, the contact relationships of strata are identified from bottom to top, and stratigraphic pinch-out interfaces are identified. Among them, overlap is a geological phenomenon in which a set of dipping strata successively overlaps upwards against the dip of an original sedimentary surface with a larger dip angle; underlap is a set of originally dipping strata overlapping downwards at the bottom of an original horizontal or dipping surface; erosion is the lateral disappearance of a stratum due to erosion.

[0087] 5) Identification of biogenic habitats. Biogenic habitats are identified from bottom to top based on large thin section orthogonal polarized light microscope images. A biogenic habitat is a bioturbation surface formed in a stratum where organisms live due to a low or no depositional rate.

[0088] 6) Determination of single-layer interfaces. Based on the images of large thin sections under orthogonal polarized light microscopy, the lithological abrupt change surfaces, longitudinal abrupt change surfaces of grain size, compositional change surfaces, stratigraphic pinch-out (overlap, underlap, and erosion) interfaces, and bioaccumulation surfaces are marked from bottom to top to determine the single-layer interfaces.

[0089] 7) Single-layer division. Based on the single-layer interface, the shale is divided into multiple single layers.

[0090] Step 2: Identification and division of the stratigraphic group and stratigraphic interface.

[0091] 1) Identifying bedding group interfaces within a single layer. Within a single layer, bedding group interfaces are identified based on weak erosion surfaces and micro-depositional discontinuities in the shale;

[0092] 2) Division of lamellar groups. Based on the lamellar group interfaces, a single layer is divided into a series of lamellar groups;

[0093] 3) Determination of lamellar interfaces. Within a single lamellar group, lamellar interfaces are identified based on the discontinuities in the structure of the constituent materials;

[0094] 4) Layer division. Based on the layer interfaces, a single layer group is divided into a series of layers.

[0095] Step 3: Determining the mud-textured and silt-textured layers. In black shale, mud-textured and silt-textured layers are distinguished based on the grain size of the constituent particles. The specific steps are as follows:

[0096] 1) Identification of mud-like layers. If more than 50% of the constituent particles have a particle size of less than 32 μm, it is identified as a mud-like layer.

[0097] 2) Identification of silty sand texture. In black shale, if the brightness of the texture color is lower than the preset brightness, and more than 50% of the constituent particles have a particle size between 32 and 62.5 μm, it is identified as a silty sand texture.

[0098] 3) Identification of mud-layer groups. In black shale, if the lamellar groups are all composed of mud-layers, then it is identified as a mud-layer group.

[0099] 4) Identification of silty lamellar groups. In black shale, if the lamellar groups are all composed of silty lamellars, then it is identified as a silty lamellar group.

[0100] II. Identification of Typical Sedimentary Structures

[0101] Based on large thin-section images, attenuation wavy textures, low-wavelength high-rise wavy textures, wrapping textures, and layered texture gradients are identified according to laminar group type, laminar group morphology, laminar group intersection relationship, whether laminar groups develop internally, and the grain size gradient within laminar groups. The specific operation steps are as follows:

[0102] Step 1: The attenuated ripple texture consists of multiple powdery texture layers. The interfaces of the powdery texture layers are lenticular. The powdery texture layers are superimposed on each other. Multiple powdery texture layers can be identified within each texture layer group. The interfaces of the powdery texture layers intersect with the interfaces of the texture layers groups, such as... Figure 4a As shown. The specific operation steps are as follows:

[0103] 1) Determine whether the shale has developed silty lamellar formations. If the shale has developed silty lamellar formations, continue with the following operations; otherwise, terminate the operation.

[0104] 2) Determine if the interface of the silty sand textured layer group is lenticular. If the interface of the textured layer group is lenticular, continue with the following operation; otherwise, terminate the operation.

[0105] 3) Determine if the pulverized sand textured layers overlap each other. If the pulverized sand textured layers overlap each other, continue with the following operations; otherwise, terminate the operation.

[0106] 4) Determine if multiple pulverized sand texture layers can be identified within the pulverized sand texture layer group. If multiple pulverized sand texture layers can be identified within the pulverized sand texture layer group, continue with the following operation; otherwise, terminate the operation.

[0107] 5) Determine whether the interface of the silty sand textured layer intersects with the interface of the textured layer group. If the interface of the silty sand textured layer intersects with the interface of the textured layer group, continue the following operation; otherwise, terminate the operation.

[0108] 6) Determination of attenuated wavy texture. If the shale is composed of multiple silt layer groups, the interface of the silt layer group is lenticular, the silt layer groups are superimposed on each other, multiple silt layers can be identified inside the layer group, and the interface of the silt layer intersects with the interface of the layer group, then it is determined to be an attenuated wavy texture.

[0109] It should be noted that the above judgment steps are just examples. The judgment process is executed from simple to complex in order to save computing power. The judgment can also be executed in other steps or in parallel. The judgment process described below is the same.

[0110] Step Two: Identification of Low-Wave High-Rise Ripple Texture. The low-wave high-rise ripple texture consists of alternating layers of silt and mud textures. The interfaces of the silt texture layers are lenticular, the silt texture layers are superimposed on each other, and the silt texture layers within the texture groups are not identifiable. Figure 4b As shown. The specific operation steps are as follows:

[0111] 1) Determine whether the shale is composed of alternating layers of silt-laden and mud-laden groups. If the shale is composed of alternating layers of silt-laden and mud-laden groups, continue with the following steps; otherwise, terminate the operation.

[0112] 2) Determine if the interface of the pulverized sand textured layer group is lenticular. If the interface of the pulverized sand textured layer group is lenticular, continue with the following operation; otherwise, terminate the operation.

[0113] 3) Determine if the pulverized sand textured layers overlap each other. If the pulverized sand textured layers overlap each other, continue with the following operations; otherwise, terminate the operation.

[0114] 4) Determine if multiple siliceous textured layers can be identified within the siliceous textured layer group. If multiple siliceous textured layers cannot be identified within the siliceous textured layer group, continue with the following operation; otherwise, terminate the operation.

[0115] 5) Determination of low-wave, high-climbing wavy texture. If the shale is composed of alternating layers of silt-laden and mud-laden layers, the interface of the silt-laden layers is lenticular, the silt-laden layers are superimposed on each other, and the silt-laden layers inside the laden layers are not identifiable, then it is determined to be a low-wave, high-climbing wavy texture.

[0116] Step 3: Identification of the wrapping texture. The wrapping texture consists of multiple silty texture layers. There exists a set of deformed silty texture layers with a wide, smooth syncline and a tight, sharp anticline. The overlying and underlying silty texture layers of this deformed silty texture layer set are not deformed. Figure 4c As shown. The specific operation steps are as follows:

[0117] 1) Determine whether the shale is composed of multiple silty lamellar groups. If the shale is composed of multiple silty lamellar groups, continue with the following steps; otherwise, terminate the operation.

[0118] 2) Determine if there are wide, smooth synclines and tight, sharp deformed silty sand layers in anticlines. If present, continue with the following steps; otherwise, terminate the operation.

[0119] 3) Determine whether the overlying and underlying silty sand textured layers have also deformed. If not, continue with the following steps; otherwise, terminate the operation.

[0120] 4) Determination of encircling texture. If the shale is composed of multiple silt-textured layers, and there exists a set of deformed silt-textured layers with a wide and smooth syncline and a tight and sharp anticline, and the overlying and underlying silt-textured layers of the deformed silt-textured layer are not deformed, then it is determined to be an encircling texture.

[0121] Step Four: Identification of Layered Gradual Texture. In layered gradual textures, the interfaces of the texture groups are plate-like and continuous; the interfaces within the texture groups are clear; the texture interfaces are parallel to the interfaces of the texture groups; and within a single texture group, the silt textures gradually transition upwards to mud textures, such as... Figure 4d As shown. The specific operation steps are as follows:

[0122] 1) Determine if the interface of the laminar flow group is plate-like and continuous. If yes, continue with the following operations; otherwise, terminate the operation.

[0123] 2) Determine if the interfaces between the internal layers of the lamellar group are clearly visible. If yes, continue with the following steps; otherwise, terminate the operation.

[0124] 3) Determine if the striation interface and the striation group interface are parallel. If yes, continue with the following operations; otherwise, terminate the operation.

[0125] 4) Determine if a single texture group contains a silt texture that gradually transitions upwards to a mud texture. If yes, continue with the following steps; otherwise, terminate the operation.

[0126] 5) Determination of layered gradient texture. If the interface of a shale bedding group is continuous in a plate-like manner, the bedding interface within the bedding group is clear, the bedding interface is parallel to the bedding group interface, and the silt layer within a single bedding group gradually transitions upward to the mud layer, then it is determined to be a layered gradient texture.

[0127] III. Determination of the Flow Property Transformation Process of Fine-Particle Turbidity Flow

[0128] By establishing the vertical evolution sequence of shale with different sedimentary structures, the transformation process of fine-grained turbidity current flow properties was clarified. The specific operational steps are as follows:

[0129] Step 1: Determining the vertical evolution sequence of different sedimentary structures.

[0130] A vertical evolution sequence was established through systematic analysis of typical sedimentary structures in fine-grained turbidite deposits from multiple wells. The specific procedures are as follows:

[0131] 1) Analysis of typical sedimentary structures in multiple wells. From bottom to top, identify typical sedimentary structures in multiple single wells.

[0132] 2) Determine the vertical relationships of typical sedimentary structures in different wells. By comparing all single-well sedimentary structure types, determine the vertical relationships of typical sedimentary structures of various types.

[0133] 3) Establish the vertical evolution sequence of typical sedimentary structures. Based on the vertical relationship of each typical sedimentary structure, establish the vertical evolution sequence of fine-grained turbidite deposits.

[0134] Step Two: Determining the Transformation of Fine-Grained Turbidity Flow Properties. Fluid flow properties are classified into three types: turbulent flow, transitional flow, and laminar flow. Transitional flow can be further subdivided into three types: turbulent-enhanced transitional flow, lower transitional slug flow, and upper transitional slug flow. Different fluid flow properties produce different sedimentary structures.

[0135] 1) Determine the fine-grained turbidity current properties reflected in typical sedimentary structures. Rising ripple textures are products of turbulent activity, enveloping textures are products of turbulent enhanced transitional flows and lower transitional plug flow deposits, low-wave high rising ripple textures are products of upper transitional plug flow deposits, and layered gradient textures are products of laminar flow deposits.

[0136] 2) Determine the transformation process of fluid flow properties. Different sedimentary structures reflecting fluid flow properties are labeled on a vertical evolution sequence map to determine the transformation process of fluid flow properties, as shown in Table 1.

[0137] Figure 5 This is a schematic diagram of a device for determining fluid flowability based on sedimentary structures, provided as an embodiment of this application. This device can execute the method for determining fluid flowability based on sedimentary structures provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects for executing the method. Figure 5 As shown, the device includes:

[0138] The laminar texture identification module 310 is used to identify the full-size thin section image of the shale geological layer profile, divide the shale into at least two single layers, and for each single layer, identify the shale grain characteristics in the single layer to determine the laminar texture group contained in the single layer and the laminar texture group contained in the laminar texture; wherein, the laminar texture type of the laminar texture includes silt laminar texture and mud laminar texture.

[0139] The sedimentary structure determination module 320 is used to determine the fine-grained turbidity current sedimentary structure within each single layer based on the lamellar group and lamellar characteristics.

[0140] The fluidity property determination module 330 is used to determine the fluidity properties and fluidity property transformation of fine-grained turbidity currents based on the fine-grained turbidity current depositional structure within a single layer.

[0141] In this embodiment of the application, the laminar texture identification module 310 identifies the characteristics of shale particles in a single layer to determine the laminar texture group contained in the single layer and the laminar texture group contained in the laminar texture, including:

[0142] Within the single layer, the lamellar group interface is identified based on the weak erosion surface and micro-deposition discontinuity of the shale, and the single layer is divided into each lamellar group based on the lamellar group interface.

[0143] Within the lamellar group, each lamellar is divided according to the abrupt change surface of shale grain size to obtain each lamellar.

[0144] For each texture layer, the texture type is determined based on the characteristics of the particles in the texture layer and the pre-determined relationship between the characteristics of the particles and the texture type. The pre-determined relationship between the characteristics of the particles and the texture type includes: if the particle size of the particles whose color brightness is lower than the preset brightness and exceeds the preset proportion is in the range of 32 micrometers to 62.5 micrometers, then the texture type is a silt texture layer; if the particle size of the particles whose color brightness is higher than the preset brightness and exceeds the preset proportion is less than 32 micrometers, then the texture type is a mud texture layer.

[0145] In this embodiment, the sedimentary structure determination module 320 determines the fine-grained turbidity current sedimentary structure within a single layer based on the characteristics of the lamellar assemblages and lamellar groups, including:

[0146] The full-scale thin section image is identified to determine the characteristics of the single-layer inner laminae group and the laminae; wherein, the characteristics of the single-layer inner laminae group and the laminae include laminae group type, laminae group morphology, laminae group intersection relationship, whether laminae are developed inside the laminae group, and the grain size variation inside the laminae group.

[0147] Based on the characteristics of the monolayer inner lamellar group and the lamellars, and the pre-determined correspondence between the characteristics of the monolayer inner lamellar group and the lamellars and the fine-grained turbidity current sedimentary structures, the monolayer inner fine-grained turbidity current sedimentary structure is determined.

[0148] In this embodiment of the application, the depositional structure determination module 320 determines the fine-grained turbidity current depositional structure within a single layer based on the characteristics of the laminae and laminae within the single layer, and the pre-determined correspondence between the characteristics of the laminae and laminae within the single layer and the fine-grained turbidity current depositional structure, including:

[0149] If the characteristics of the lamellar groups and lamellars in a single layer are as follows: silty lamellar groups are developed and superimposed on each other, multiple silty lamellars can be identified in the silty lamellar groups, the lamellar group interface is lenticular, and the silty lamellar group interface intersects with the lamellar group interface, then the fine-grained turbidity depositional structure in the single layer is determined to be a decaying ripple texture.

[0150] If the characteristics of the single-layer inner laminar group and the laminar group are: the development of silt laminar group and mud laminar group, which are superimposed on each other, multiple silt laminar groups cannot be identified in the silt laminar group, and the interface of the silt laminar group is lenticular, then the fine-grained turbidity sedimentary structure in the single layer is determined to be a low-wave high-climbing ripple texture.

[0151] If the characteristics of the single-layer inner laminar group and the laminar group are: multiple silt laminar groups are developed, and there are deformed silt laminar groups with syncline slope less than the preset slope and anticline slope greater than the preset slope, and the overlying silt laminar group and the underlying silt laminar group of the deformed silt laminar group are also deformed silt laminar groups, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a wrapping texture.

[0152] If the characteristics of the single-layer inner laminae group and the laminae are as follows: the laminae group interface is plate-shaped and continuous with a clarity higher than the preset clarity, the laminae interface is parallel to the laminae group interface, and there is a silt laminae group inside the single laminae group that gradually transitions upward to mud laminae, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a layered laminae graded texture.

[0153] In this embodiment, the flow property determination module 330 determines the flow properties and flow property transformations of fine-grained turbidity currents based on the intralayer fine-grained turbidity current deposition structure, including:

[0154] Based on the pre-determined correspondence between fine-grained turbidity current sedimentary structures, the flow properties of fine-grained turbidity currents, and the transformation of flow properties, the flow properties of fine-grained turbidity currents corresponding to the fine-grained turbidity current sedimentary structures within a single layer and the transformation of flow properties are determined.

[0155] In this embodiment, the flow property determination module 330 determines the flow property and flow property transformation of the fine-grained turbidity current corresponding to the fine-grained turbidity current depositional structure within a single layer based on a pre-determined correspondence between the fine-grained turbidity current depositional structure, the flow property of the fine-grained turbidity current, and the flow property transformation, including:

[0156] If the fine-grained turbidity deposits in a single layer have a decaying ripple texture, then the flow properties of the fine-grained turbidity are turbulent, and the flow properties are transformed into turbulence.

[0157] If the fine-grained turbidity current sedimentary structure in a single layer is a low-wave, high-climbing ripple texture, then the flow properties of the fine-grained turbidity current are upper transitional plug flow, and the flow properties are transformed into transitional flow.

[0158] If the fine-grained turbidity deposits within a single layer are encircling textures, then the flow properties of the fine-grained turbidity currents are transitional flow with enhanced turbulence in the lower transitional plug flow, and the flow properties are transformed into transitional flow.

[0159] If the fine-grained turbidity current sedimentary structure within a single layer has a layered, graded texture, then the flow properties of the fine-grained turbidity current are laminar flows, and the flow properties are transformed into laminar flows.

[0160] In this embodiment, the laminar flow recognition module 310 identifies the full-length thin section image of the shale geological strata profile, dividing the shale into at least two single layers, including:

[0161] Identify the full-length thin section images of shale geological strata and mark the lithological abrupt change surfaces, longitudinal abrupt change surfaces of grain size, compositional change surfaces, stratigraphic pinch-out interfaces, and biofouling surfaces from bottom to top;

[0162] Based on the marked interfaces of each single layer, the shale is divided into at least two single layers.

[0163] The apparatus for determining fluid flowability based on sedimentary structures provided in this application can execute the method for determining fluid flowability based on sedimentary structures provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of executing the method.

[0164] Figure 6 A schematic diagram of an electronic device 10, which can be used to implement embodiments of this application, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0165] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0166] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0167] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for determining fluid flowability based on depositional structures.

[0168] In some embodiments, the method for determining fluid flowability based on depositional structures can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining fluid flowability based on depositional structures described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for determining fluid flowability based on depositional structures by any other suitable means (e.g., by means of firmware).

[0169] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0170] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable device for determining fluid flowability based on depositional structures, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0171] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0172] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0173] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0174] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0175] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired information of the technical solution of this application can be achieved, and this is not limited herein.

[0176] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method of determining fluid mobility based on sedimentary structures, characterized by, The method includes: The full-length thin section image of the shale geological strata is identified to divide the shale into at least two single layers. For each single layer, the characteristics of shale grains in the single layer are identified to determine the lamellar groups contained in the single layer and the lamellar groups contained in the lamellar layers. The lamellar types of the lamellars include silt lamellars and mud lamellars. For each single layer, the fine-grained turbidity current sedimentary structures within the single layer are determined based on the lamellar groups and lamellar characteristics. Based on the fine-grained turbidity current sedimentary structure within a single layer, the flow properties of the fine-grained turbidity current and its transitions were determined.

2. The method of claim 1, wherein, Identifying the characteristics of shale grains in a single layer to determine the lamellar groups contained in the single layer and the lamellar groups within the lamellar groups includes: Within the single layer, the lamellar group interface is identified based on the weak erosion surface and micro-deposition discontinuity of the shale, and the single layer is divided into each lamellar group based on the lamellar group interface. Within the lamellar group, each lamellar is divided according to the abrupt change surface of shale grain size to obtain each lamellar. For each texture layer, the texture type is determined based on the characteristics of the particles in the texture layer and the pre-determined relationship between the characteristics of the particles and the texture type. The pre-determined relationship between the characteristics of the particles and the texture type includes: if the particle size of the particles whose color brightness is lower than the preset brightness and exceeds the preset proportion is in the range of 32 micrometers to 62.5 micrometers, then the texture type is a silt texture layer; if the particle size of the particles whose color brightness is higher than the preset brightness and exceeds the preset proportion is less than 32 micrometers, then the texture type is a mud texture layer.

3. The method of claim 1, wherein, Based on the characteristics of the lamellar assemblages within a single layer, the fine-grained turbidite sedimentary structures within the single layer were identified, including: The full-scale thin section image is identified to determine the characteristics of the single-layer inner laminae group and the laminae; wherein, the characteristics of the single-layer inner laminae group and the laminae include laminae group type, laminae group morphology, laminae group intersection relationship, whether laminae are developed inside the laminae group, and the grain size variation inside the laminae group. Based on the characteristics of the monolayer inner lamellar group and the lamellars, and the pre-determined correspondence between the characteristics of the monolayer inner lamellar group and the lamellars and the fine-grained turbidity current sedimentary structures, the monolayer inner fine-grained turbidity current sedimentary structure is determined.

4. The method of claim 3, wherein, Based on the characteristics of the monolayer inner lamellar assemblages and lamellars, and the pre-determined correspondence between the characteristics of the monolayer inner lamellar assemblages and lamellars and fine-grained turbidite sedimentary structures, the fine-grained turbidite sedimentary structure within the monolayer is determined, including: If the characteristics of the lamellar groups and lamellars in a single layer are as follows: silty lamellar groups are developed and superimposed on each other, multiple silty lamellars can be identified in the silty lamellar groups, the lamellar group interface is lenticular, and the silty lamellar group interface intersects with the lamellar group interface, then the fine-grained turbidity depositional structure in the single layer is determined to be a decaying ripple texture. If the characteristics of the single-layer inner laminar group and the laminar group are: the development of silt laminar group and mud laminar group, which are superimposed on each other, multiple silt laminar groups cannot be identified in the silt laminar group, and the interface of the silt laminar group is lenticular, then the fine-grained turbidity sedimentary structure in the single layer is determined to be a low-wave high-climbing ripple texture. If the characteristics of the single-layer inner laminar group and the laminar group are: multiple silt laminar groups are developed, and there are deformed silt laminar groups with syncline slope less than the preset slope and anticline slope greater than the preset slope, and the overlying silt laminar group and the underlying silt laminar group of the deformed silt laminar group are also deformed silt laminar groups, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a wrapping texture. If the characteristics of the single-layer inner laminae group and the laminae are as follows: the laminae group interface is plate-shaped and continuous with a clarity higher than the preset clarity, the laminae interface is parallel to the laminae group interface, and there is a silt laminae group inside the single laminae group that gradually transitions upward to mud laminae, then the fine-grained turbidity current sedimentary structure in the single layer is determined to be a layered laminae graded texture.

5. The method of claim 1, wherein, Based on the fine-grained turbidity current sedimentary structure within a single layer, the flow properties of the fine-grained turbidity current and its transitions were determined, including: Based on the pre-determined correspondence between fine-grained turbidity current sedimentary structures, the flow properties of fine-grained turbidity currents, and the transformation of flow properties, the flow properties of fine-grained turbidity currents corresponding to the fine-grained turbidity current sedimentary structures within a single layer and the transformation of flow properties are determined.

6. The method of claim 5, wherein, Based on the pre-determined correspondence between fine-grained turbidity current sedimentary structures, the flow properties of fine-grained turbidity currents, and the transitions in flow properties, the flow properties of fine-grained turbidity currents corresponding to the fine-grained turbidity current sedimentary structures within a single layer and their transitions in flow properties are determined, including: If the fine-grained turbidity deposits in a single layer have a decaying ripple texture, then the flow properties of the fine-grained turbidity are turbulent, and the flow properties are transformed into turbulence. If the fine-grained turbidity current sedimentary structure in a single layer is a low-wave, high-climbing ripple texture, then the flow properties of the fine-grained turbidity current are upper transitional plug flow, and the flow properties are transformed into transitional flow. If the fine-grained turbidity deposits within a single layer are encircling textures, then the flow properties of the fine-grained turbidity currents are transitional flow with enhanced turbulence in the lower transitional plug flow, and the flow properties are transformed into transitional flow. If the fine-grained turbidity current sedimentary structure within a single layer has a layered, graded texture, then the flow properties of the fine-grained turbidity current are laminar flows, and the flow properties are transformed into laminar flows.

7. The method of claim 1, wherein, Identify full-length thin-section images of shale geological strata, dividing the shale into at least two single layers, including: Identify the full-length thin section images of shale geological strata and mark the lithological abrupt change surfaces, longitudinal abrupt change surfaces of grain size, compositional change surfaces, stratigraphic pinch-out interfaces, and biofouling surfaces from bottom to top; Based on the marked interfaces of each single layer, the shale is divided into at least two single layers.

8. An apparatus for determining fluid flowability based on sedimentary structures, characterized in that, The device includes: The laminar texture identification module is used to identify full-scale thin section images of shale geological strata, divide the shale into at least two single layers, and for each single layer, identify the shale grain characteristics in the single layer to determine the laminar texture group contained in the single layer and the laminar texture group contained in the laminar texture; wherein, the laminar texture types include silt laminar texture and mud laminar texture. The sedimentary structure determination module is used to determine the fine-grained turbidity current sedimentary structures within each single layer based on the lamellar groups and lamellar characteristics. The fluidity property determination module is used to determine the fluidity properties and fluidity property transformations of fine-grained turbidity currents based on the fine-grained turbidity current depositional structure within a single layer.

9. An electronic device, comprising: The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the method for determining fluid flowability based on depositional structures as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method for determining fluid flowability based on depositional structures as described in any one of claims 1-7.

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