A method and apparatus for identifying the type of marine deep-water fine-grained siliciclastic clastic deposit

CN122709501APending Publication Date: 2026-09-08PETROCHINA CO LTD
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Patent Information

Application Number
CN202510263070.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2026-09-08

AI Technical Summary

Technical Problem

[0005]然而,由于细粒硅质碎屑沉积组成成份复杂、形成环境多样、经历过多期的成岩作用和成岩后作用改造,不同地区不同层系都具有各自的特殊性

Benefits of technology

[0018]The technical solution provided by this invention distinguishes the sedimentary types of fine-grained turbidite sediments, semi-penetrating sediments, and pelagic sediments by determining the content of exogenous components and the distribution characteristics of clay minerals in marine deep-water fine-grained siliceous clastic sediments. This enables more accurate analysis of the formation environment of high-quality shale reservoirs and provides a basis for finely dividing sedimentary microfacies and selecting favorable shale oil and gas zones and targets.

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Abstract

The application provides a method and device for identifying the type of marine deepwater fine-grained siliceous clastic sediment. The method comprises: determining the content of exogenous components of a research object; determining whether the distribution characteristics of clay minerals of the research object are development of clay mineral aggregates, parallel or nearly parallel random distribution of clay mineral particles with an included angle less than 45 DEG or high-angle intersection or vertical random distribution of clay mineral particles with an included angle greater than or equal to 45 DEG; and determining whether the type of the research object is fine-grained turbidity current deposit, hemipelagic deposit or pelagic deposit based on the content of exogenous components and the distribution characteristics of clay minerals of the research object.
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Description

Technical Field

[0001] This specification belongs to the field of shale oil and gas exploration and development technology, specifically relating to a method and apparatus for identifying the type of marine deep-water fine-grained siliceous clastic sediments. Background Technology

[0002] Marine fine-grained siliceous clastic sediments are widely distributed in both modern and ancient deep-water environments, providing a key to understanding the spatiotemporal variations of tectonic, climatic, and other geological processes during sedimentary periods. These sediments are primarily composed of exogenous and endogenous components. Exogenous components include products of soil physical and chemical weathering (clay mineral particles, terrigenous quartz, potassium feldspar, plagioclase, rock fragments, terrigenous calcite, zircon, and titanium dioxide), volcanic ash (glassy particles), and terrigenous organic matter. Endogenous components include biogenic carbonate minerals, biogenic silica, phosphate minerals, basin-derived organic matter, and various mineral aggregates. In deep-water marine environments, fine-grained siliceous clastic sediments are the product of a combination of erosion and deposition, with turbidite deposits, semi-penetrating sediments, and pelagic sediments being their main genetic sources. Turbidity deposits are formed by turbidity currents; semi-penetrating deposits are formed by semi-penetrating subsidence, which includes vertical subsidence and slow lateral advection; while pelagic deposits are formed by pelagic subsidence, which is mainly vertical subsidence.

[0003] The study of marine fine-grained siliceous clastic sediments has significant scientific and economic value. It serves as a unique language, recording a wealth of information about Earth's history and is crucial for reconstructing paleotectonic, paleoclimatic, and paleowater properties. It is the world's most important carbon sink, influencing and controlling global carbon burial and cycling, and consequently impacting global climate change and ocean cycles. Marine fine-grained siliceous clastic sediments contain abundant oil, natural gas, metallic minerals, and non-metallic minerals, forming source rocks, reservoirs, or caprocks that determine and alter the global energy landscape. However, the sedimentary reservoir characteristics of fine-grained siliceous clastic sediments vary greatly depending on their genetic origin. For example, fine-grained turbidite sediments have relatively low TOC content and relatively poor reservoir quality, while open-ocean and semi-open-ocean sediments have relatively high TOC content and relatively good reservoir quality. Compared to semi-open-ocean sediments, open-ocean sediments often exhibit high TOC content, high horizontal permeability, and low vertical permeability, while semi-open-ocean sediments have relatively low TOC content, low horizontal permeability, and relatively high vertical permeability. Therefore, in order to better evaluate shale gas reservoirs, it is necessary to find a method that can quickly distinguish between turbidite deposits, pelagic deposits, and semi-pelagic deposits.

[0004] Previous studies have proposed a series of methods and standards for identifying and distinguishing marine deep-water fine-grained siliceous clastic sediments based on differences in lithofacies, grain size, color, bioturbation, paleontology, grain size, carbonate mineral characteristics, and clay mineral characteristics. Some scholars have suggested that fine-grained turbidite sediments exhibit a grain-sequential distribution from bottom to top, which can be divided into TE-1, TE-2, and TE-3 sections; while pelagic and semi-pelagic sediments lack well-developed grain sequence. Other scholars have proposed that fine-grained turbidite sediments have relatively darker colors, relatively lower carbonate mineral content, and relatively coarser siliceous clastic components, while semi-pelagic sediments have relatively strong bioturbation, relatively higher planktonic foraminifera content, and coarser bioclastic grains. Still others have proposed that fine-grained turbidite sediments are rich in illite, terrigenous quartz, and calcareous carbonate rocks, while semi-pelagic sediments are characterized by high concentrations of layered silicate minerals and magnesium-rich carbonate rocks. Some scholars have proposed that the arrangement of clay minerals in mudstone is related to the deposition rate and fluid concentration. In fine-grained turbidite deposits, clay minerals tend to precipitate as flocculated particles at a relatively fast deposition rate, resulting in poor orientation. In contrast, in semi-oceanic deposits, clay mineral particles are deposited in a dispersed manner at a slower deposition rate in relatively calm water, leading to better orientation. Other scholars have suggested that in semi-oceanic deposits, the shear rate of the fluid is much greater than the settling rate of the sediment, resulting in a relatively disordered clay mineral structure and a higher proportion of high-density minerals. In contrast, in oceanic deposits, the settling rate of the sediment is much greater than the shear rate of the fluid, resulting in better stratification of platy clay mineral particles and a lower content of high-density minerals. Still others have proposed that fine-grained turbidite deposits often develop clay mineral aggregates, with individual clay mineral particles having a long axis of approximately 4-30 μm and adjacent clay mineral particles exhibiting edge-to-face or face-to-face contact. In contrast, clay minerals in oceanic and semi-oceanic mudstone deposits are randomly arranged, and clay mineral aggregates are not developed.

[0005] However, due to the complex composition, diverse formation environments, and multiple stages of diagenesis and post-diagenetic alteration of fine-grained siliceous clastic sediments, different regions and strata possess their own unique characteristics. Furthermore, research is hampered by limited data, difficulties in data acquisition, and high research costs, rendering the aforementioned discrimination methods and standards inadequate for practical field applications. Therefore, there is an urgent need to develop a rapid and convenient new method for distinguishing fine-grained siliceous clastic sediments of different genesis. Summary of the Invention

[0006] The purpose of this invention is to provide a technical solution that can distinguish the type of fine-grained siliceous clastic sediments in the deep-water marine environment of the Lower Paleozoic as fine-grained turbidite sediments, semi-penetrating sediments, or pelagic sediments.

[0007] To achieve the above objectives, the present invention provides a method for identifying the type of fine-grained (particle size less than 62.5 micrometers) siliceous debris deposition in deep marine water (deeper than 200m), wherein the method includes:

[0008] Determine the content of exogenous components in the research subjects;

[0009] Determine whether the distribution characteristics of the clay minerals in the research object are as follows: whether the clay minerals are developed into clay mineral aggregates, whether the clay mineral particles are randomly distributed in parallel or nearly parallel at an angle of less than 45°, or whether the clay mineral particles are randomly distributed at a high angle of intersection or perpendicular at an angle of greater than or equal to 45°.

[0010] Based on the content of exogenous components and the distribution characteristics of clay minerals in the research object, the type of the research object was determined to be fine-grained turbidite sediment, semi-oceanic sediment, or oceanic sediment.

[0011] Secondly, the present invention provides an apparatus for identifying the type of fine-grained (particle size less than 62.5 micrometers) silica debris deposits in deep marine water (deeper than 200m), wherein the apparatus comprises:

[0012] Exogenous component content determination module: used to determine the content of exogenous components in the research object;

[0013] Clay mineral distribution characteristics determination module: used to determine whether the distribution characteristics of the clay minerals of the research object are as follows: whether the clay minerals are developed into clay mineral aggregates, whether the clay mineral particles are randomly distributed in parallel or nearly parallel at an angle of less than 45°, or whether the clay mineral particles are randomly distributed at a high angle of intersection or perpendicular at an angle of greater than or equal to 45°.

[0014] The sedimentation type determination module is used to determine whether the research object is a fine-grained turbidite deposit, a semi-penetrating deposit, or a pelagic deposit based on the content of exogenous components and the distribution characteristics of clay minerals.

[0015] Thirdly, embodiments of this specification also provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method provided in the first aspect for identifying the type of marine deep-water fine-grained silica debris deposition.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method provided in the first aspect for identifying the type of marine deep-water fine-grained silica debris deposition.

[0017] Fifthly, the present invention provides a computer program product comprising a computer program that, when executed by a processor, implements the method provided in the first aspect for identifying the type of marine deep-water fine-grained silica debris deposition.

[0018] The technical solution provided by this invention distinguishes the sedimentary types of fine-grained turbidite sediments, semi-penetrating sediments, and pelagic sediments by determining the content of exogenous components and the distribution characteristics of clay minerals in marine deep-water fine-grained siliceous clastic sediments. This enables more accurate analysis of the formation environment of high-quality shale reservoirs and provides a basis for finely dividing sedimentary microfacies and selecting favorable shale oil and gas zones and targets. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. The drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1A Scanning electron microscope (SEM) image of an argon-ion polished section of exogenous terrestrial quartz.

[0021] Figure 1B Scanning electron microscope (SEM) image of an argon-ion polished section of exogenous terrestrial calcite.

[0022] Figure 1C Scanning electron microscope (SEM) image of an argon-ion polished section of an exogenous clay mineral component.

[0023] Figure 1D Scanning electron microscope (SEM) image of argon-ion polished feldspar, a component of exogenous feldspar.

[0024] Figure 2A Scanning electron microscope (SEM) image of an argon-ion polished section showing random distribution of clay minerals.

[0025] Figure 2B Scanning electron microscope (SEM) image of an argon-ion polished section showing the distribution of clay mineral aggregates.

[0026] Figure 3A Scanning electron microscope (SEM) image of an argon-ion polished slide with fine-grained turbidity deposition.

[0027] Figure 3B This is a scanning electron microscope (SEM) image of an argon-ion polished section of semi-oceanic sediment.

[0028] Figure 3C This is a scanning electron microscope (SEM) image of an argon-ion polished section of ocean sediment. Detailed Implementation

[0029] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. The specific embodiments described herein are only used to explain this disclosure, and not to limit this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure are within the scope of protection of this disclosure. In addition, 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 such actual relationship or order between these entities or operations.

[0030] Due to significant differences in sedimentation processes, the proportions of different genetic components and the distribution of clay minerals vary considerably among turbidite deposits, semi-peyote deposits, and pelagic deposits. Turbidite deposits, formed by turbidity currents, are predominantly composed of exogenous components (greater than 50%), with high clay mineral content, often arranged randomly or forming flocculent aggregates. Semi-peyote deposits, formed by both vertical sedimentation and lateral advection, are predominantly a mixture of exogenous (10%-50%) and endogenous (50%-90%) components, with relatively low clay mineral content, often arranged in bedding planes. Pelagic deposits, formed by vertical sedimentation, have extremely low exogenous component content (less than 10%) and extremely low clay mineral content, also often arranged in bedding planes. Therefore, the type of deep-water fine-grained siliceous clastic sediment can be distinguished by determining the proportion of exogenous components and the arrangement of clay minerals in the sediment.

[0031] The key to analyzing the proportion of exogenous components in deep-water fine-grained siliceous clastic sediments is identifying and distinguishing between exogenous and endogenous components. The mineral composition of Lower Paleozoic marine fine-grained siliceous clastic sediments mainly consists of quartz, carbonate minerals, and clay minerals, with trace amounts of feldspar, pyrite, and bioclastics. Quartz is classified into three types: terrigenous quartz, biogenic quartz, and clay mineral-transformed quartz. Terrigenous quartz grains have a diameter of 10-20 μm, are sub-rounded to sub-angular, with some exhibiting angular shapes and blurred edges, and show strong luminescence under an argon-ion polished scanning electron microscope. Biogenic quartz grains have a diameter of 3-10 μm. Clay mineral-transformed quartz grains have a diameter of 1-3 μm, with crystals existing in short chain-like or small cluster-like aggregates, or in platy or small lamellae forms. Among the three types of quartz, terrigenous quartz is an exogenous component, while biogenic quartz is an endogenous component. Carbonate minerals mainly include calcite, dolomite, and ferroalloy. Under an argon-ion polished scanning electron microscope (SEM), calcite often appears as irregular grayish-white granules with internally developed fissures; dolomite is relatively darker in color and mostly shows as regular rhombic euhedral crystals; ferroalloy often appears as enlarged edges of calcite. Among carbonate minerals, calcite with well-developed crystal shapes, relatively straight boundaries, and well-developed surface dissolution pores is mostly an endogenous component, dolomite is mainly an endogenous component, while calcite with poorly developed crystal shapes, irregular boundaries, and poorly developed surface dissolution pores is an exogenous component. Clay minerals mainly consist of illite, illite-montmorillonite mixed-layers, and chlorite. Under an argon-ion polished SEM, they mostly appear as platy or banded structures and are mainly exogenous components. Feldspar mainly occurs as short columnar pieces with developed bedding joints and is an exogenous component. Pyrite and bioclastic debris are both endogenous components. Therefore, by determining the percentage content of terrigenous quartz, clay minerals, feldspar, and terrigenous calcite in Lower Paleozoic marine fine-grained siliceous clastic sediments, and combining this with the arrangement of clay minerals, the types of deep-water fine-grained sediments can be effectively distinguished.

[0032] Based on this, the present invention proposes a new method for distinguishing fine-grained turbidite deposits, semi-oceanic deposits and oceanic deposits based on the content of exogenous components and the arrangement of clay minerals in fine-grained sediments.

[0033] This invention provides a method for identifying the type of fine-grained siliceous debris deposition in deep-sea marine environments, wherein the method includes:

[0034] Step S11: Determine the content of exogenous components in the research subject;

[0035] Step S12: Determine whether the distribution characteristics of the clay minerals in the research object are developed clay mineral aggregates, clay mineral particles are randomly distributed in parallel or nearly parallel directions with an angle of less than 45°, or clay mineral particles are randomly distributed in high-angle intersections or perpendicular directions with an angle of greater than or equal to 45°.

[0036] Step S13: Based on the content of exogenous components and the distribution characteristics of clay minerals of the research object, determine whether the research object is a fine-grained turbidite deposit, a semi-oceanic deposit, or an oceanic deposit.

[0037] In some embodiments, step S13 determines the type of the research object as fine-grained turbidity current sediment, semi-penetrating sediment, or pelagic sediment according to the following criteria:

[0038] If the exogenous component content of the research object is greater than 50% and clay mineral aggregates are developed, then the research object is a fine-grained turbidite deposit.

[0039] If the exogenous component content of the research object is 10%-50%, and the clay mineral particles intersect at a high angle of 45° or are randomly distributed vertically, then the research object is a semi-penetrating sediment.

[0040] If the content of exogenous components is less than 10%, and the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, then the research object is oceanic sediment.

[0041] In some embodiments, the exogenous components include terrigenous quartz, terrigenous calcite, clay minerals, and feldspar.

[0042] In some embodiments, step S11, determining the content of exogenous components in the study object, includes:

[0043] Step S111: Determine the area of ​​exogenous components in the scanning electron microscope image of the argon ion polished slide of the research object;

[0044] Step S112: Determine the area of ​​the argon ion polished slide scanning electron microscope image of the research object;

[0045] Step S113: Based on the area of ​​the exogenous component in the SEM image of the argon-ion polished sheet of the research object and the area of ​​the SEM image of the argon-ion polished sheet of the research object, determine the area ratio of the exogenous component in the SEM image of the argon-ion polished sheet of the research object as the content of the exogenous component of the research object.

[0046] Further, in step S111, determining the area of ​​the exogenous component in the scanning electron microscope image of the argon-ion polished slide of the research object includes:

[0047] Step S1111: Identify terrigenous quartz, terrigenous calcite, clay minerals, and feldspar in the argon-ion polished slide scanning electron microscope image of the research object;

[0048] Step S1112: Based on the identification results of terrigenous quartz, terrigenous calcite, clay minerals and feldspar, the total area of ​​terrigenous quartz, terrigenous calcite, clay minerals and feldspar in the argon ion polished slide scanning electron microscope image of the research object is the area of ​​exogenous components in the argon ion polished slide scanning electron microscope image of the research object.

[0049] Furthermore, step S1111 involves identifying terrigenous quartz, terrigenous calcite, clay minerals, and feldspar in the argon-ion polished slide scanning electron microscope image of the research object, including:

[0050] In the argon-ion polished slides of the research object, terrigenous quartz was identified based on particle shape, size, grayscale, and surface morphology. Specifically, particles that were sub-rounded to sub-angular, with a size greater than 10 μm, a grayscale color, and no surface dissolution pores were identified as terrigenous quartz particles. Sub-rounded to sub-angular refers to a roundness of 0.3-0.7; angular particles have sharp edges and a rough surface, usually indicating that they have not been transported for a long time and are close to their original shape; the roundness of angular particles is usually less than 0.3; sub-angular... Angular particles have slightly worn edges, but are still quite noticeable, with a relatively rough surface. The roundness of angular particles is usually between 0.3 and 0.5. Subrounded particles have relatively smooth edges, but are not completely rounded. The surface is relatively smooth, and the roundness of subrounded particles is usually between 0.5 and 0.7. Rounded particles have completely rounded edges and a very smooth surface, usually indicating that the particles have undergone long-term transportation and abrasion. The roundness of rounded particles is usually greater than 0.7. (Note: Grayscale refers to gray values ​​between 123 and 255.)

[0051] In the argon-ion polished slides of the research object, terrigenous calcite was identified based on the shape, size, grayscale, and surface morphology of the particles. Specifically, if the particles are irregular in shape, have a size greater than 10 μm, have a grayscale value of grayish-white, and do not have dissolution pores on the surface, the particles are identified as terrigenous calcite particles. Grayish-white refers to a grayscale value of 1-122.

[0052] In the argon-ion polished slides of the research object, clay minerals were identified based on the shape and gray level of the particles. Specifically, if the particles were flaky or elongated and had a gray level, they were identified as clay mineral particles. Among them, the length (L) of the elongated particles was significantly greater than its width (W) and thickness (T), satisfying L>3W and L>3T. Gray level refers to a gray level value of 123-255.

[0053] In the argon-ion polished slides of the research object, feldspar was identified based on the shape, size, grayscale, and surface morphology of the particles. Specifically, if the particles were tabular or columnar, larger than 10 μm in size, gray in grayscale, and exhibited near-perpendicular cleavage or lattice bicrystalline cleavage, they were identified as feldspar particles. Near-perpendicular cleavage refers to an angle of 70-90 degrees with the horizontal plane; grayscale refers to a grayscale value of 123-255.

[0054] Furthermore, in step S1112: Based on the identification results of terrigenous quartz, terrigenous calcite, clay minerals, and feldspar, the total area of ​​terrigenous quartz, terrigenous calcite, clay minerals, and feldspar in the argon-ion polished slide scanning electron microscope image of the research object is statistically analyzed. This total area represents the area of ​​exogenous components in the argon-ion polished slide scanning electron microscope image of the research object, including:

[0055] The scanning electron microscope images of the argon ion polished slides of the research object were imported into the graphics drawing software AutoCAD.

[0056] In the graphics drawing software AutoCAD, the outer boundaries of individual terrigenous quartz, individual terrigenous calcite, individual clay mineral, and individual feldspar are drawn sequentially using drawing tools; each drawn outer boundary of terrigenous quartz, each terrigenous calcite, each clay mineral, and each feldspar forms a closed curve.

[0057] The area of ​​each terrigenous quartz, each terrigenous calcite, each clay mineral, and each feldspar was calculated using the area calculation function of AutoCAD software.

[0058] The total area of ​​all terrigenous quartz, terrigenous calcite, clay minerals, and feldspar in the argon-ion polished slide scanning electron microscope image of the research object is obtained by adding up the areas of all terrigenous quartz, terrigenous calcite, clay minerals, and feldspar. This total area is the area of ​​the exogenous components in the argon-ion polished slide scanning electron microscope image of the research object.

[0059] In some embodiments, step S12, determining whether the distribution characteristics of the clay minerals in the research object are developed clay mineral aggregates, clay mineral particles are randomly distributed in parallel or nearly parallel directions with an angle of less than 45°, or clay mineral particles are randomly distributed in high-angle intersections or perpendicular directions with an angle of greater than or equal to 45°, includes:

[0060] Step S121: Determine whether the clay minerals in the research object are randomly distributed or aggregated;

[0061] Step S122: If the clay minerals of the research object are randomly distributed, determine the included angle between the clay mineral particles; if the included angle between the clay mineral particles is less than 45°, then the distribution characteristic of the clay minerals of the research object is determined to be that the clay mineral particles are randomly distributed in parallel or nearly parallel directions with an included angle of less than 45°; if the included angle between the clay mineral particles is ≥ 45°, then the distribution characteristic of the clay minerals of the research object is determined to be that the clay mineral particles are randomly distributed in high-angle intersection or perpendicular directions with an included angle of greater than or equal to 45°.

[0062] Step S123: If the clay minerals of the research object are aggregated, determine the included angle between the aggregated clay mineral particles; if the included angle between the aggregated clay mineral particles is ≥45°, then the distribution characteristic of the clay minerals of the research object is determined to be the development of clay mineral aggregates; if the included angle between the aggregated clay mineral particles is <45°, then the distribution characteristic of the clay minerals of the research object is determined to be the development of non-clay mineral aggregates.

[0063] The distribution characteristics of the clay minerals studied are that when clay mineral aggregates are developed, the boundaries of the clay mineral aggregates are usually clearly visible.

[0064] Further, step S121, determining whether the clay minerals in the study object are randomly distributed or aggregated, includes:

[0065] Based on the argon-ion polished slide scanning electron microscope images of the research object, it was determined whether the clay minerals in the research object were randomly distributed or aggregated.

[0066] If, in the scanning electron microscope image of the argon ion polished slide, most clay mineral particles are concentrated in a small area, then the clay minerals in the research object are determined to be aggregated; otherwise, the clay minerals in the research object are determined to be randomly distributed. Among them, most clay mineral particles refer to clay mineral particles that account for more than 50% of the total volume of clay mineral particles, and small area refers to an area with an area of ​​less than 10% of the total area.

[0067] This specification provides an apparatus for identifying the type of fine-grained silica debris deposits in deep-sea marine environments, as described in the following embodiments. Since the principle underlying this apparatus is similar to the method for identifying the type of fine-grained silica debris deposits in deep-sea marine environments, the implementation of this apparatus can be referenced in the implementation of the method for identifying the type of fine-grained silica debris deposits in deep-sea marine environments; therefore, repetitions will not be repeated.

[0068] The apparatus for identifying the type of fine-grained silica debris deposition in deep marine waters provided in this embodiment of the invention includes:

[0069] Module 21 for determining the content of exogenous components in the research object: used to determine the content of exogenous components in the research object;

[0070] Module 22 for determining the distribution characteristics of clay minerals in the research object: whether the distribution characteristics of clay minerals in the research object are as follows: whether the clay minerals are developed into clay mineral aggregates, whether the clay mineral particles are randomly distributed in parallel or nearly parallel at an angle of less than 45°, or whether the clay mineral particles are randomly distributed at a high angle of intersection or perpendicular at an angle of greater than or equal to 45°.

[0071] Module 23 for determining sediment type: Based on the content of exogenous components and the distribution characteristics of clay minerals of the research object, it is used to determine whether the research object is a fine-grained turbidite deposit, a semi-penetrating deposit, or a pelagic deposit.

[0072] In some embodiments, the sediment type determination module 23 determines the type of the research object as fine-grained turbidity current sediment, semi-penetrating sediment, or pelagic sediment according to the following criteria:

[0073] If the exogenous component content of the research object is greater than 50% and clay mineral aggregates are developed, then the research object is a fine-grained turbidite deposit.

[0074] If the exogenous component content of the research object is 10%-50%, and the clay mineral particles intersect at a high angle of 45° or are randomly distributed vertically, then the research object is a semi-penetrating sediment.

[0075] If the content of exogenous components is less than 10%, and the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, then the research object is oceanic sediment.

[0076] In some embodiments, the exogenous components include terrigenous quartz, terrigenous calcite, clay minerals, and feldspar.

[0077] In some embodiments, the exogenous component content determination module 21 includes:

[0078] Exogenous component area determination submodule 211: used to determine the area of ​​exogenous components in the scanning electron microscope image of the argon ion polished slide of the research object;

[0079] Image area determination submodule 212: Used to determine the area of ​​the argon ion polished slide scanning electron microscope image of the research object;

[0080] Exogenous component content determination submodule 213: used to determine the area ratio of exogenous components in the argon-ion polished sheet scanning electron microscope image of the research object as the content of exogenous components in the research object based on the area of ​​exogenous components in the argon-ion polished sheet scanning electron microscope image of the research object and the area of ​​the argon-ion polished sheet scanning electron microscope image of the research object.

[0081] Furthermore, the exogenous component area determination submodule 211 includes:

[0082] Exogenous component identification unit 2111: used to identify terrigenous quartz, terrigenous calcite, clay minerals and feldspar in argon-ion polished slide scanning electron microscope images of the research object;

[0083] The exogenous component area determination unit 2112 is used to determine the total area of ​​terrigenous quartz, terrigenous calcite, clay minerals and feldspar in the argon ion polished slide scanning electron microscope image of the research object based on the identification results of terrigenous quartz, terrigenous calcite, clay minerals and feldspar. This total area is the area of ​​exogenous components in the argon ion polished slide scanning electron microscope image of the research object.

[0084] Furthermore, the exogenous component identification unit 2111 includes:

[0085] Terrigenous Quartz Identification Subunit 21111: Used to identify terrigenous quartz particles in argon-ion polished slides under a scanning electron microscope based on their shape, size, grayscale, and surface morphology. Specifically, if the particles are sub-rounded to sub-angular, have a size greater than 10 μm, a grayscale value, and no surface dissolution pores, then the particles are identified as terrigenous quartz particles. Sub-rounded to sub-angular refers to a roundness of 0.3-0.7; angular: the particles have sharp edges and a rough surface, usually indicating that the particles have not been transported for a long time and are close to their original shape. The roundness of angular particles is usually less than 0.3; sub-angular... Subangular: The edges of the particles are slightly worn but still quite noticeable, and the surface is relatively rough. The roundness of subangular particles is usually between 0.3 and 0.5. Subrounded: The edges of the particles are relatively smooth but not completely rounded, and the surface is relatively smooth. The roundness of subrounded particles is usually between 0.5 and 0.7. Rounded: The edges of the particles are completely rounded, and the surface is very smooth. This usually indicates that the particles have undergone long-term transportation and abrasion. The roundness of rounded particles is usually greater than 0.7. (Note: Grayscale refers to gray values ​​between 123 and 255.)

[0086] Terrigenous calcite identification subunit 21112: Used to identify terrigenous calcite in the argon-ion polished slide scanning electron microscope image of the research object based on the shape, particle size, grayscale, and surface morphology of the particles; wherein, if the particles are irregular in shape, have a particle size greater than 10μm, have a grayscale value of grayish-white, and do not have dissolution pores on the surface, then the particles are identified as terrigenous calcite particles; wherein, grayish-white grayscale refers to a grayscale value of 1-122;

[0087] Clay mineral identification subunit 21113: used to identify clay minerals in the argon-ion polished slide scanning electron microscope image of the research object based on the shape and gray level of the particles; wherein, if the particles are flaky or elongated and have a gray level, the particles are identified as clay mineral particles; wherein, the length (L) of the elongated particles is significantly greater than its width (W) and thickness (T), satisfying L>3W and L>3T; wherein, gray level refers to a gray level value of 123-255;

[0088] Feldspar identification subunit 21114: Used to identify feldspar particles in argon-ion polished slide scanning electron microscope images of the research object based on particle shape, particle size, gray level, and surface morphology; wherein, if the particles are plate-columnar in shape, have a particle size greater than 10 μm, have a gray level, and exhibit near-perpendicular cleavage or lattice bicrystalline cleavage, then the particles are identified as feldspar particles; wherein, near-perpendicular refers to an angle of 70-90 degrees with respect to the horizontal plane; wherein, gray level refers to a gray level value of 123-255;

[0089] Furthermore, the exogenous component area determination unit 2112 is specifically used for:

[0090] The scanning electron microscope images of the argon ion polished slides of the research object were imported into the graphics drawing software AutoCAD.

[0091] In the graphics drawing software AutoCAD, the outer boundaries of individual terrigenous quartz, individual terrigenous calcite, individual clay mineral, and individual feldspar are drawn sequentially using drawing tools; each drawn outer boundary of terrigenous quartz, each terrigenous calcite, each clay mineral, and each feldspar forms a closed curve.

[0092] The area of ​​each terrigenous quartz, each terrigenous calcite, each clay mineral, and each feldspar was calculated using the area calculation function of AutoCAD software.

[0093] The total area of ​​all terrigenous quartz, terrigenous calcite, clay minerals, and feldspar in the argon-ion polished slide scanning electron microscope image of the research object is obtained by adding up the areas of all terrigenous quartz, terrigenous calcite, clay minerals, and feldspar. This total area is the area of ​​the exogenous components in the argon-ion polished slide scanning electron microscope image of the research object.

[0094] In some embodiments, the clay mineral distribution characteristic determination module 22 includes:

[0095] Distribution pattern determination submodule 221: Used to determine whether clay minerals in the research object are randomly distributed or aggregated;

[0096] Random Distribution Characteristics Determination Submodule 222: Used to determine the angle between clay mineral particles if the clay minerals of the research object are randomly distributed; if the angle between clay mineral particles is less than 45°, the distribution characteristics of the clay minerals of the research object are determined to be that the clay mineral particles are randomly distributed in parallel or nearly parallel directions with an angle of less than 45°; if the angle between clay mineral particles is ≥ 45°, the distribution characteristics of the clay minerals of the research object are determined to be that the clay mineral particles are randomly distributed in high-angle intersection or perpendicular directions with an angle of greater than or equal to 45°.

[0097] Submodule 223 for determining the distribution characteristics of aggregates: If the clay minerals of the research object are aggregated, it is used to determine the angle between the aggregated clay mineral particles; if the angle between the aggregated clay mineral particles is ≥45°, then the distribution characteristics of the clay minerals of the research object are determined to be the development of clay mineral aggregates; if the angle between the aggregated clay mineral particles is <45°, then the distribution characteristics of the clay minerals of the research object are determined to be the development of non-clay mineral aggregates.

[0098] The distribution characteristics of the clay minerals studied are that when clay mineral aggregates are developed, the boundaries of the clay mineral aggregates are usually clearly visible.

[0099] Furthermore, the distribution pattern determination submodule 221 is specifically used for:

[0100] Based on the argon-ion polished slide scanning electron microscope images of the research object, it was determined whether the clay minerals in the research object were randomly distributed or aggregated.

[0101] If, in the scanning electron microscope image of the argon ion polished slide, most clay mineral particles are concentrated in a small area, then the clay minerals in the research object are determined to be aggregated; otherwise, the clay minerals in the research object are determined to be randomly distributed. Among them, most clay mineral particles refer to clay mineral particles that account for more than 50% of the total volume of clay mineral particles, and small area refers to an area with an area of ​​less than 10% of the total area.

[0102] This specification also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method provided in this embodiment for identifying the type of marine deep-water fine-grained silica debris deposition.

[0103] This specification also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for identifying the type of marine deep-water fine-grained silica debris deposition provided in this embodiment of the invention.

[0104] This specification also provides a computer program product, which includes a computer program that, when executed by a processor, implements the method for identifying the type of marine deep-water fine-grained silica debris deposition provided in this embodiment of the invention.

[0105] Example 1

[0106] This embodiment provides a method for identifying the type of fine-grained siliceous debris deposits in deep-sea marine environments. The method includes:

[0107] 1. Obtain scanning electron microscope (SEM) images of the argon ion polished wafers of the first research object and the second research object.

[0108] 2. Based on the argon-ion polished slide scanning electron microscope (SEM) image of the first research object, determine the content of exogenous components in the first research object; based on the argon-ion polished slide SEM image of the second research object, determine the content of exogenous components in the second research object. Specifically, this includes:

[0109] 2.1 Identification of exogenous components in shale was performed using argon-ion polished slide SEM images of the first and second research objects.

[0110] In Lower Paleozoic marine deep-water fine-grained siliceous clastic sediments, the exogenous components are mainly terrigenous quartz, terrigenous calcite, clay minerals, and feldspar. This step identifies terrigenous quartz, terrigenous calcite, clay minerals, and feldspar based on the shape, grain size, grayscale, and surface morphology of argon-ion polished slides using scanning electron microscopy (SEM). The specific operational steps are as follows:

[0111] 2.11. Terrigenous quartz was identified from the argon-ion polished slides of the first and second research objects, respectively. Terrigenous quartz was identified based on particle shape, size, grayscale, and surface morphology. If the particles were sub-spherical to sub-angular, larger than 10 μm in size, gray in color, and without surface dissolution pores, they were identified as terrigenous quartz particles (see...). Figure 1A The specific operating steps are as follows:

[0112] 1) Particle shape identification. Observe the shape of the particles in the scanning electron microscope image. If the shape is sub-circular to sub-angular, continue to the next step; otherwise, stop the operation; if yes, proceed to the next step.

[0113] 2) Particle size measurement. Measure the diagonal length of the particles in the scanning electron microscope image. If the diagonal length is greater than 10 μm, proceed to the next step; otherwise, terminate the operation; if yes, proceed to the next step.

[0114] 3) Observation of particle grayscale. Observe the brightness of the particles in the scanning electron microscope image. If the particle grayscale is gray, continue to the next step; if not, stop the operation; if yes, proceed to the next step.

[0115] 4) Observation of particle surface morphology. Observe the surface morphology of the particles in the scanning electron microscope image. If no dissolution pores are developed on the particle surface, continue to the next step; otherwise, stop the operation; if yes, it is determined to be terrigenous quartz particles.

[0116] 2.12. Terrigenous calcite was identified from the argon-ion polished slide SEM images of the first and second research objects. Terrigenous calcite was identified based on particle shape, size, grayscale, and surface morphology. Irregularly shaped particles with a size greater than 10 μm, a grayish-white grayscale, and no surface dissolution pores were identified as terrigenous calcite particles (see...). Figure 1B The specific operating steps are as follows:

[0117] 1) Particle shape identification. Observe the shape of the particles in the scanning electron microscope image. If the shape is irregular, continue to the next step; otherwise, stop the operation; if yes, proceed to the next step.

[0118] 2) Particle size measurement. Measure the diagonal length of the particles in the scanning electron microscope image. If the diagonal length is greater than 10 μm, proceed to the next step; otherwise, terminate the operation; if yes, proceed to the next step.

[0119] 3) Observation of particle grayscale. Observe the brightness of the particles in the scanning electron microscope image. If the particle grayscale is grayish-white, continue to the next step; otherwise, stop the operation; if yes, proceed to the next step.

[0120] 4) Observation of particle surface morphology. Observe the surface morphology of the particles in the scanning electron microscope image. If no dissolution pores are developed on the particle surface, continue to the next step; otherwise, stop the operation; if yes, it is determined to be terrigenous calcite particles.

[0121] 2.13. Clay minerals were identified from the argon-ion polished slide SEM images of the first and second research objects. Clay minerals were identified based on particle shape and grayscale. If the particles were flaky or elongated and had a grayscale value, they were identified as clay minerals (see...). Figure 1C The specific operating steps are as follows:

[0122] 1) Particle shape identification. Observe the shape of the particles in the scanning electron microscope image. If the shape is sheet-like or elongated, continue to the next step; otherwise, stop the operation; if yes, proceed to the next step.

[0123] 2) Observation of particle grayscale. Observe the brightness of the particles in the scanning electron microscope image. If the particle grayscale is gray, continue to the next step; if not, stop the operation; if yes, it is determined to be clay mineral particles.

[0124] 2.14. Feldspar identification was performed using SEM images of the argon-ion polished sections of the first and second research objects. Terrigenous calcite was identified based on grain shape, size, grayscale, and surface morphology. If the grains were tabular or columnar, larger than 10 μm in size, gray in color, and exhibited near-perpendicular cleavage or lattice twinning cleavage, they were identified as feldspar (see...). Figure 1D The specific operating steps are as follows:

[0125] 1) Particle shape identification. Observe the shape of the particles in the scanning electron microscope image. If the shape is plate-column shaped, continue to the next step; otherwise, stop the operation; if yes, proceed to the next step.

[0126] 2) Particle size measurement. Measure the diagonal length of the particles in the scanning electron microscope image. If the diagonal length is greater than 10 μm, proceed to the next step; otherwise, terminate the operation; if yes, proceed to the next step.

[0127] 3) Observation of particle grayscale. Observe the brightness of the particles in the scanning electron microscope image. If the particle grayscale is gray, continue to the next step; if not, stop the operation; if yes, proceed to the next step.

[0128] 4) Observation of particle surface morphology. Observe the surface morphology of the particles in the scanning electron microscope image. If the particle surface develops near-perpendicular cleavage or lattice bicrystallization, continue to the next step; if not, stop the operation; if so, it is identified as feldspar particles.

[0129] 2.2 Based on the identification results of terrigenous quartz, terrigenous calcite, clay minerals and feldspar in the argon-ion polished slide scanning electron microscope images of the first research object and the second research object, the area ratio of exogenous components in the argon-ion polished slide scanning electron microscope image of the first research object was determined as the content of exogenous components in the first research object, and the area ratio of exogenous components in the argon-ion polished slide scanning electron microscope image of the second research object was determined as the content of exogenous components in the second research object.

[0130] This step involves using scanning electron microscopy (SEM) images of argon-ion polished slides to determine the total area of ​​exogenous components—terrigenous quartz, terrigenous calcite, clay minerals, and feldspar—and calculating the proportion of this total area to the entire image area as the content of the exogenous components. The specific steps are as follows:

[0131] 2.2.1 Determine the total area of ​​the argon-ion polished sheet scanning electron microscope (SEM) images of the first research object and the second research object, respectively.

[0132] This step uses the graphics drawing software AutoCAD to calculate the total area of ​​the image. The operation steps are as follows:

[0133] 1) Import the scanning electron microscope image of the argon ion polishing disc into the graphics drawing software AutoCAD;

[0134] 2) In the graphics drawing software AutoCAD, use the drawing tools to clear the outer boundary of the drawing image and form a closed quadrilateral;

[0135] 3) Calculate the area S of the closed quadrilateral using the area calculation function of AutoCAD software. T .

[0136] 2.2.2 Statistical analysis of the total area of ​​terrigenous quartz in the argon-ion polished slide scanning electron microscope images of the first research object and the second research object was performed respectively.

[0137] This step utilizes the graphics drawing software AutoCAD to calculate the total area S of all terrigenous quartz in the scanning electron microscope image of the argon-ion polished wafer. Q The operation steps are as follows:

[0138] 1) In the graphics drawing software AutoCAD, use the drawing tools to draw the outer boundary of each terrigenous quartz in sequence, and require that the outer boundary of each terrigenous quartz forms a closed curve;

[0139] 2) Calculate the area of ​​each terrigenous quartz using the area calculation function of AutoCAD software;

[0140] 3) Add up the areas of all the terrigenous quartz to get the total area S of the terrigenous quartz. Q .

[0141] 2.2.3. The total area of ​​terrigenous calcite in the argon-ion polished slide scanning electron microscope images of the first research object and the terrigenous calcite in the argon-ion polished slide scanning electron microscope images of the second research object were statistically analyzed.

[0142] This step utilizes the graphics drawing software AutoCAD to calculate the total area S of all terrigenous calcite in the scanning electron microscope image of the argon-ion polished section. C The operation steps are as follows:

[0143] 1) In the graphics drawing software AutoCAD, use the drawing tools to draw the outer boundary of each individual terrigenous calcite in sequence, and require that the outer boundary of each terrigenous calcite drawn form a closed curve;

[0144] 2) Calculate the area of ​​each terrigenous calcite using the area calculation function of AutoCAD software;

[0145] 3) Add up the areas of all the terrigenous calcites to get the total area S of the terrigenous calcites. C .

[0146] 2.2.4. The total area of ​​clay minerals in the argon-ion polished slide scanning electron microscope images of the first research object and the argon-ion polished slide scanning electron microscope images of the second research object were statistically analyzed.

[0147] This step utilizes the graphics drawing software AutoCAD to calculate the total area S of all clay minerals in the scanning electron microscope image of the argon-ion polished section. Clay The operation steps are as follows:

[0148] 1) In the graphics drawing software AutoCAD, use the drawing tools to draw the outer boundary of each individual clay mineral in sequence, and require that the outer boundary of each clay mineral formed a closed curve.

[0149] 2) Calculate the area of ​​each clay mineral using the area calculation function of AutoCAD software;

[0150] 3) Add up the areas of all clay minerals to get the total area S of the clay minerals. Clay .

[0151] 2.2.5. The total area of ​​feldspar in the argon-ion polished slide scanning electron microscope images of the first research object and the total area of ​​feldspar in the argon-ion polished slide scanning electron microscope images of the second research object were statistically analyzed.

[0152] This step utilizes the graphics drawing software AutoCAD to calculate the total area S of all feldspars in the scanning electron microscope image of the argon-ion polished slide. F The operation steps are as follows:

[0153] 1) In the graphics drawing software AutoCAD, use the drawing tools to draw the outer boundary of each feldspar in sequence, and require that the outer boundary of each feldspar forms a closed curve.

[0154] 2) Calculate the area of ​​each feldspar using the area calculation function of AutoCAD software;

[0155] 3) Add up the areas of all the feldspars to get the total area S of the feldspars. F .

[0156] 2.2.6. Perform statistical analysis of the total area of ​​all exogenous components in the argon ion polished slide scanning electron microscope image of the first research object and the total area of ​​all exogenous components in the argon ion polished slide scanning electron microscope image of the second research object.

[0157] This step utilizes the total area of ​​terrigenous quartz (S) Q ) + Total area of ​​terrigenous calcite (S) C ) + Total area of ​​clay minerals (S) clay ) + Total area of ​​feldspar (S) F The total area S of the exogenous components was determined. A .

[0158] 2.2.7. The area ratio of exogenous components in the scanning electron microscope image of the argon ion polished sheet of the first research object is determined as the content of exogenous components in the first research object, and the area ratio of exogenous components in the scanning electron microscope image of the argon ion polished sheet of the second research object is determined as the content of exogenous components in the second research object.

[0159] This step utilizes S A (Total area of ​​exogenous components) / S T (Total area of ​​the image) determines the area percentage of the exogenous component.

[0160] 3. Determine whether the distribution characteristics of the clay minerals in the first and second research objects are: well-developed clay mineral aggregates; clay mineral particles exhibiting a parallel or near-parallel random distribution with an angle less than 45°; or clay mineral particles exhibiting a high-angle intersection or perpendicular random distribution with an angle greater than or equal to 45°. Specific operational steps are as follows:

[0161] 3.1 Based on the argon-ion polished disc scanning electron microscope (SEM) images of the first and second research objects, respectively, determine whether the clay minerals obtained from the first and second research objects are randomly distributed or aggregated.

[0162] If, in an argon-ion polished scanning electron microscope image, most clay mineral particles are concentrated in a small area, then the clay minerals in the research object are determined to be aggregated (see...). Figure 2B Otherwise (i.e., clay mineral particles are not concentrated in a small area), then the clay minerals in the research object are determined to be randomly distributed (see...). Figure 2A );

[0163] Among them, the majority of clay mineral particles refer to clay mineral particles that account for more than 50% of the total volume of clay mineral particles, and the tiny area refers to the area that accounts for less than 10% of the total area.

[0164] 3.2 Determine whether the clay mineral particles in the aggregate distribution have developed into clay mineral aggregates.

[0165] If the angle between aggregated clay mineral grains in the scanning electron microscope image of an argon-ion polished section is ≥45°, then the distribution characteristics of the clay minerals are determined to be the development of clay mineral aggregates (see...). Figure 2B If the angle between clay mineral particles in the argon ion polished scanning electron microscope image is less than 45°, then the distribution characteristics of the clay minerals are determined to be the development of non-clay mineral aggregates.

[0166] 3.3 Determine whether the distribution characteristics of randomly distributed clay minerals are parallel or nearly parallel random distributions with an angle of less than 45°, or high-angle intersections or perpendicular random distributions with an angle of greater than or equal to 45°; among which,

[0167] If the included angle between clay mineral particles is less than 45°, then the distribution characteristics of the clay minerals in the research object are determined to be that the clay mineral particles are randomly distributed in parallel or nearly parallel directions with an included angle of less than 45°.

[0168] If the angle between clay mineral particles is ≥45°, then the distribution characteristics of the clay minerals in the research object are determined to be that the clay mineral particles intersect at a high angle or are randomly distributed vertically with an angle greater than or equal to 45°.

[0169] 4. Based on the content of exogenous components and the distribution characteristics of clay minerals in the first research object, determine whether the type of the first research object is fine-grained turbidite sedimentary, semi-penetrating sedimentary, or pelagic sedimentary; based on the content of exogenous components and the distribution characteristics of clay minerals in the second research object, determine whether the type of the second research object is fine-grained turbidite sedimentary, semi-penetrating sedimentary, or pelagic sedimentary. Among these,

[0170] If the exogenous component content of the research object is greater than 50% and clay mineral aggregates are developed, then the research object is a fine-grained turbidite deposit, see [reference needed]. Figure 3A ;

[0171] If the exogenous component content of the studied object is 10%-50%, and the clay mineral particles intersect at a high angle (greater than or equal to 45°) or are randomly distributed vertically, then the studied object is a semi-penetrating sediment. (See below) Figure 3B ;

[0172] If the content of exogenous components is less than 10%, and the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, then the research object is pelagic sediment. (See...) Figure 3C .

[0173] Those skilled in the art will understand that this specification can be provided as a method, system, or computer program product. Therefore, this specification may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware. Furthermore, this specification may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0174] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments thereof. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. The computer may be a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0175] The functional units in the embodiments of this specification can be integrated into one processing unit, or each functional unit can exist physically separately, or two or more functional units can be integrated into one processing unit.

[0176] Those skilled in the art will understand that the descriptions of the various embodiments in this specification have different focuses, and parts not described in detail in a certain embodiment can be referred to in the relevant descriptions of other embodiments. Furthermore, it is understood that those skilled in the art, after reading this specification, can conceive of any combination of some or all of the embodiments listed in this specification without creative effort, and such combinations are also within the scope of disclosure and protection of this specification.

[0177] Although this specification has been described through embodiments, those skilled in the art will understand that the above embodiments are merely illustrative of the core ideas of this specification. Those skilled in the art will appreciate that many variations and modifications are possible with this specification. It is intended that the appended claims encompass these variations and modifications without departing from the spirit of this specification.

Claims

1. A method for identifying the type of fine-grained siliceous detrital deposits in deep marine waters, wherein, The method includes: Determine the content of exogenous components in the research subjects; Determine whether the distribution characteristics of the clay minerals in the research object are as follows: whether the clay minerals are developed into clay mineral aggregates, whether the clay mineral particles are randomly distributed in parallel or nearly parallel at an angle of less than 45°, or whether the clay mineral particles are randomly distributed at a high angle of intersection or perpendicular at an angle of greater than or equal to 45°. Based on the content of exogenous components and the distribution characteristics of clay minerals in the research object, the type of the research object was determined to be fine-grained turbidite sediment, semi-oceanic sediment, or oceanic sediment.

2. The method according to claim 1, wherein, The following criteria should be used to determine whether the research object is a fine-grained turbidite deposit, a semi-penetrating deposit, or a pelagic deposit: If the exogenous component content of the research object is greater than 50% and clay mineral aggregates are developed, then the research object is a fine-grained turbidite deposit. If the exogenous component content of the research object is 10%-50%, and the clay mineral particles intersect at a high angle of 45° or are randomly distributed vertically, then the research object is a semi-penetrating sediment. If the content of exogenous components is less than 10%, and the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, then the research object is oceanic sediment.

3. The method according to claim 1, wherein, The exogenous components include terrigenous quartz, terrigenous calcite, clay minerals, and feldspar.

4. The method according to claim 1, wherein, Determining the content of exogenous components in the research subjects includes: Determine the area of ​​exogenous components in the scanning electron microscope image of the argon-ion polished slide of the research object; Determine the area of ​​the argon-ion polished slide in the scanning electron microscope image of the research object; Based on the area of ​​the exogenous component in the SEM image of the argon-ion polished sheet of the research object and the area of ​​the SEM image of the argon-ion polished sheet of the research object, the area ratio of the exogenous component in the SEM image of the argon-ion polished sheet of the research object is determined as the content of the exogenous component of the research object.

5. The method according to claim 1, wherein, Determining whether the distribution characteristics of the clay minerals in the research object are as follows: whether the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, or randomly distributed at high angles or perpendicularly with an angle of greater than or equal to 45°, including: Determine whether the clay minerals in the research object are randomly distributed or aggregated; If the clay minerals in the study are randomly distributed, determine the angle between the clay mineral particles; if the angle between the clay mineral particles is less than 45°, then the distribution characteristic of the clay minerals in the study is determined to be that the clay mineral particles are randomly distributed in parallel or nearly parallel directions with an angle of less than 45°; if the angle between the clay mineral particles is ≥ 45°, then the distribution characteristic of the clay minerals in the study is determined to be that the clay mineral particles are randomly distributed at high angles or perpendicularly with an angle of greater than or equal to 45°. If the clay minerals of the research object are distributed in aggregates, determine the angle between the aggregated clay mineral particles; if the angle between the aggregated clay mineral particles is ≥45°, then the distribution characteristic of the clay minerals of the research object is determined to be the development of clay mineral aggregates; if the angle between the aggregated clay mineral particles is <45°, then the distribution characteristic of the clay minerals of the research object is determined to be the development of non-clay mineral aggregates.

6. The method according to claim 5, wherein, Determining whether clay minerals in a research object are randomly or aggregated includes: Based on the argon-ion polished slide scanning electron microscope images of the research object, it was determined whether the clay minerals in the research object were randomly distributed or aggregated. If, in the scanning electron microscope image of the argon ion polished slide, most clay mineral particles are concentrated in a small area, then the clay minerals in the research object are determined to be aggregated; otherwise, the clay minerals in the research object are determined to be randomly distributed. Among them, most clay mineral particles refer to clay mineral particles that account for more than 50% of the total volume of clay mineral particles, and small area refers to an area with an area of ​​less than 10% of the total area.

7. An apparatus for identifying the type of fine-grained siliceous debris deposits in deep marine waters, wherein, The model includes: Exogenous component content determination module: used to determine the content of exogenous components in the research object; Clay mineral distribution characteristics determination module: used to determine whether the distribution characteristics of the clay minerals of the research object are as follows: whether the clay minerals are developed into clay mineral aggregates, whether the clay mineral particles are randomly distributed in parallel or nearly parallel at an angle of less than 45°, or whether the clay mineral particles are randomly distributed at a high angle of intersection or perpendicular at an angle of greater than or equal to 45°. The sedimentation type determination module is used to determine whether the research object is a fine-grained turbidite deposit, a semi-penetrating deposit, or a pelagic deposit based on the content of exogenous components and the distribution characteristics of clay minerals.

8. The apparatus according to claim 7, wherein, The sediment type determination module determines the type of the research object as fine-grained turbidite sediment, semi-penetrating sediment, or pelagic sediment according to the following criteria: If the exogenous component content of the research object is greater than 50% and clay mineral aggregates are developed, then the research object is a fine-grained turbidite deposit. If the exogenous component content of the research object is 10%-50%, and the clay mineral particles intersect at a high angle of 45° or are randomly distributed vertically, then the research object is a semi-penetrating sediment. If the content of exogenous components is less than 10%, and the clay mineral particles are randomly distributed in parallel or near-parallel patterns with an angle of less than 45°, then the research object is oceanic sediment.

9. The apparatus according to claim 7, wherein, The exogenous components include terrigenous quartz, terrigenous calcite, clay minerals, and feldspar.

10. The apparatus according to claim 7, wherein, The module for determining the distribution characteristics of clay minerals includes: Distribution Pattern Determination Submodule: Used to determine whether clay minerals in the research object are randomly or aggregated; The random distribution characteristic determination submodule is used to determine the angle between clay mineral particles if the clay minerals of the research object are randomly distributed. If the angle between clay mineral particles is less than 45°, the distribution characteristic of the clay minerals of the research object is determined to be that the clay mineral particles are randomly distributed in parallel or nearly parallel directions with an angle of less than 45°. If the angle between clay mineral particles is ≥ 45°, the distribution characteristic of the clay minerals of the research object is determined to be that the clay mineral particles are randomly distributed in high-angle intersection or perpendicular directions with an angle of greater than or equal to 45°. The submodule for determining the distribution characteristics of aggregates is used to determine the angle between clay mineral particles in an aggregate distribution if the clay minerals of the research object are aggregated. If the angle between the clay mineral particles in an aggregate distribution is ≥45°, then the distribution characteristics of the clay minerals of the research object are determined to be the development of clay mineral aggregates. If the angle between the clay mineral particles in an aggregate distribution is <45°, then the distribution characteristics of the clay minerals of the research object are determined to be the development of non-clay mineral aggregates.

11. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method for identifying the type of marine deep-water fine-grained silica debris deposition as described in any one of claims 1-6.

12. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for identifying the type of marine deep-water fine-grained silica debris deposition as described in any one of claims 1-6.

13. A computer program product comprising a computer program that, when executed by a processor, implements the method for identifying the type of marine deep-water fine-grained silica debris deposition as described in any one of claims 1-6.