A method and system for analyzing the genesis mechanism of a concretion

Abstract

The application discloses a method and system for analyzing the formation mechanism of concretion, and the method comprises the following steps: classifying the formation mechanism; defining and assigning characteristic indexes, and distinguishing different formation mechanisms according to the characteristic indexes; matching and comparing the characteristics of the concretion with the characteristic indexes, and determining the formation mechanism of the concretion according to the comparison result. The application combines qualitative indexes with quantitative indexes, and improves the accuracy of the analysis of the formation mechanism of the concretion.

Description

Technical Field

[0001] This invention belongs to the fields of geology and oil and gas exploration technology, and specifically relates to a method and system for analyzing the genetic mechanism of clumps. Background Technology

[0002] Tuffaceous rocks are microbial rocks composed of non-laminated textures. They serve as marker beds for regional stratigraphy and correlation, and are also an important type of deep oil and gas reservoir. In academic research and industrial exploration, the formation mechanism of tuffaceous rocks is one of the key factors determining the success of these studies.

[0003] Existing technologies typically classify the formation mechanisms of clumps into organic, inorganic, and mixed origins.

[0004] The formation mechanism of tlucite is usually inferred by using methods such as cross-sectional observation and thin-section identification, based on the appearance, internal structure, and composition of the tlucite. However, current classifications of formation mechanisms are too broad and lack quantitative indicators. Furthermore, cross-sectional observation and thin-section identification are subject to too many human interference factors, thus reducing the accuracy of the analysis.

[0005] Therefore, accurately analyzing the formation mechanism of agglomerates has become an urgent problem to be solved. Summary of the Invention

[0006] To address the above problems, this invention proposes a method and system for analyzing the genetic mechanism of clumps, which effectively improves the accuracy of analyzing the genetic mechanism of clumps.

[0007] A method for analyzing the genetic mechanism of clumps, including

[0008] Classify the causal mechanisms;

[0009] Define and assign values ​​to feature indicators, and distinguish different causal mechanisms based on the feature indicators;

[0010] The characteristics of the clumps were matched and compared with the characteristic indicators, and the genetic mechanism of the clumps was determined based on the comparison results.

[0011] Preferably, the matching and comparison of the characteristics of the clotted stone with the characteristic indicators specifically involves:

[0012] The feature indicators are defined as matching items and entered into the data matching system. A main matching item is defined for each feature indicator, and the various indicator information under the main matching item is defined as the sub-matching items of the main matching item.

[0013] The features of the lumpy stone are defined as index items and entered into the data matching system. A main index item is defined for each type of lumpy stone feature, and the feature information of multiple feature categories under the main index item is defined as the sub-index items of the main index item.

[0014] An automatic matching model is established in the data matching system to match the feature indicators with the features of the clotted stone. The automatic matching model is used to match and compare the features of the clotted stone with the feature indicators.

[0015] Preferably, the matching method of the automatic matching model is as follows: The features of the clotted stone are obtained through index terms. When all parameter values ​​of the clotted stone features fall within the feature index parameter range of the same main matching term, the causal mechanism corresponding to the feature index is automatically matched. When all parameter values ​​of the clotted stone features fall within the feature index parameter range of different main matching terms, the index weights of the main matching terms and sub-matching terms are determined by weighted analysis, and the total sub-weight value is calculated to determine the causal mechanism.

[0016] Preferably, the step of determining the index weights of the main matching item and sub-matching item through weighted analysis and calculating the total sub-weight value to determine the causal mechanism specifically involves:

[0017] Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match;

[0018] Obtain the sub-weight values ​​of the sub-matching items to which all parameter values ​​of the clot feature fall, and calculate the total sub-weight value under each main matching item. The calculation formula is as follows:

[0019] Where A is the weight value of the main match item, B is the sub-weight value under the corresponding main match item, C is the total sub-weight value under the corresponding main match item, and n is the number of sub-weight values ​​under the corresponding main match item.

[0020] If all parameter values ​​of the clotted stone feature fall within the range of the feature index parameter under the main matching item with the highest subtotal weight value, it is automatically matched to the causal mechanism corresponding to the feature index.

[0021] Preferably, the genetic mechanisms include: factors related to the suitability of the microbial development environment, factors related to the stability of the sedimentary environment, factors related to strong water flow disturbance, and factors related to the duration of the clot formation process; the characteristic indicators include: clot size, shape, abundance, composition type, and δ¹⁸O⁻. 13 C value and Fe content; the composition types include micritic, spherulites, large bioclastics, fungal debris, sand fragments and shelled particles; wherein, the stability of the sedimentary environment is determined based on the micritic zone grouping.

[0022] The factors contributing to the suitability of the microbial development environment can be distinguished based on whether the microorganisms are spherical or fungal debris.

[0023] The causes of strong water flow disturbances can be distinguished based on large biological debris or sand particles.

[0024] The duration and etiology of the formation process of clotted stones can be distinguished based on the coating particles.

[0025] Preferably, the definition and assignment of characteristic indices, and the differentiation of different formation mechanisms based on the characteristic indices, specifically include: differentiating the formation process duration based on the size of the flocculants; differentiating the formation effect of strong water flow disturbance based on the shape or Fe content of the flocculants; differentiating the formation of the stability of the tectonic depositional environment based on the abundance of the flocculants; and differentiating the formation mechanism based on the δ... 13 The C value distinguishes the factors contributing to the suitability of the microbial development environment.

[0026] Preferably, when the diameter of the aggregate is greater than the preset value A, the duration of the aggregate formation process is longer; when the diameter of the aggregate is less than or equal to the preset value A, the duration of the aggregate formation process is shorter.

[0027] When the shape of the clotted stone is diffuse or rounded, it indicates that it has not been affected by strong water flow disturbance. When the shape of the clotted stone is torn, it indicates that it has been affected by strong water flow disturbance.

[0028] When the abundance of clumps is greater than the preset value B, the texture sedimentary environment is stable; when the abundance of clumps is less than or equal to the preset value B, the texture sedimentary environment is unstable.

[0029] When the coagulant δ 13 C value and seawater δ during the same period 13 When the negative bias of the C value is greater than the preset value C, it indicates that the microbial development environment is suitable; when the δ value of the clotted stone is greater than the preset value C, it indicates that the microbial development environment is suitable. 13 C value and seawater δ during the same period 13 When the negative bias of the C value is less than or equal to the preset value C, it indicates that the microbial development environment is unsuitable due to unsuitable factors.

[0030] When the Fe content of the flocculant is greater than or equal to the preset value D, it indicates that the flocculant has not been affected by strong water flow disturbance. When the Fe content of the flocculant is less than the preset value D, it indicates that the flocculant has been affected by strong water flow disturbance.

[0031] Preferably, the preset value A is 1 cm; the preset value B is 50%; the preset value C is 10%; and the preset value D is 0.2%.

[0032] A system for analyzing the genetic mechanism of clump formation includes:

[0033] The partitioning module is used to classify causal mechanisms into categories;

[0034] The differentiation module is used to define and assign value to feature indicators, and to differentiate different causal mechanisms based on the feature indicators.

[0035] The determination module is used to match and compare the characteristics of clumps with characteristic indicators, and determine the genetic mechanism of clumps based on the comparison results.

[0036] Preferably, the determining module includes:

[0037] The matching unit is used to define the feature indicators as matching items and enter them into the data matching system, define a main matching item for each feature indicator, and define multiple indicator information under the main matching item as sub-matching items of the main matching item.

[0038] The indexing unit is used to define the features of the conglomerate as index items and input them into the data matching system. It defines a main index item for each type of conglomerate feature and defines the feature information of multiple feature categories under the main index item as sub-index items of the main index item.

[0039] The pairing unit is used to establish an automatic matching model between the feature indicators and the features of the clotted stone in the data matching system, and to complete the matching and comparison of clotted stone features and feature indicators through the automatic matching model.

[0040] Preferably, the matching method of the automatic matching model is as follows: The features of the clotted stone are obtained through index terms. When all parameter values ​​of the clotted stone features fall within the feature index parameter range of the same main matching term, the causal mechanism corresponding to the feature index is automatically matched. When all parameter values ​​of the clotted stone features fall within the feature index parameter range of different main matching terms, the index weights of the main matching terms and sub-matching terms are determined by weighted analysis, and the total sub-weight value is calculated to determine the causal mechanism.

[0041] Preferably, the step of determining the index weights of the main matching item and sub-matching item through weighted analysis and calculating the total sub-weight value to determine the causal mechanism specifically involves:

[0042] Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match;

[0043] Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match;

[0044] Obtain the sub-weight values ​​of the sub-matching items to which all parameter values ​​of the clot feature fall, and calculate the total sub-weight value under each main matching item. The calculation formula is as follows:

[0045] Where A is the weight value of the main match item, B is the sub-weight value under the corresponding main match item, C is the total sub-weight value under the corresponding main match item, and n is the number of sub-weight values ​​under the corresponding main match item.

[0046] If all parameter values ​​of the clotted stone feature fall within the range of the feature index parameter under the main matching item with the highest subtotal weight value, it is automatically matched to the causal mechanism corresponding to the feature index.

[0047] Preferably, the genetic mechanisms include: factors related to the suitability of the microbial development environment, factors related to the stability of the sedimentary environment, factors related to strong water flow disturbance, and factors related to the duration of the clot formation process; the characteristic indicators include: clot size, shape, abundance, composition type, and δ¹⁸O⁻. 13 C value and Fe content; the component types include mud crystals, spheroids, large bioclastics, fungal debris, sand particles, and shelled particles;

[0048] The definition and assignment of characteristic indices, and the differentiation of different formation mechanisms based on these indices, specifically include: differentiating the formation mechanism based on the duration of the flocculant formation process according to flocculant size; differentiating the formation mechanism based on the strong water flow disturbance according to flocculant shape or Fe content; differentiating the formation mechanism based on the stability of the tectonic depositional environment according to flocculant abundance; and differentiating the formation mechanism based on the δ... 13 The C-value distinguishes the factors contributing to the suitability of the microbial development environment, the factors contributing to the stability of the sedimentary environment based on the micritic zone grouping, the factors contributing to the suitability of the microbial development environment based on spherules or fungal debris, the factors contributing to the effects of strong water flow disturbance based on large biological debris or sand debris, and the factors contributing to the duration of the clot formation process based on the shelled particles.

[0049] Preferably, when the diameter of the aggregate is greater than the preset value A, the duration of the aggregate formation process is longer; when the diameter of the aggregate is less than or equal to the preset value A, the duration of the aggregate formation process is shorter.

[0050] When the shape of the clotted stone is diffuse or rounded, it indicates that it has not been affected by strong water flow disturbance. When the shape of the clotted stone is torn, it indicates that it has been affected by strong water flow disturbance.

[0051] When the abundance of clumps is greater than the preset value B, the texture sedimentary environment is stable; when the abundance of clumps is less than or equal to the preset value B, the texture sedimentary environment is unstable.

[0052] When the coagulant δ 13 C value and seawater δ during the same period 13 When the negative bias of the C value is greater than the preset value C, it indicates that the microbial development environment is suitable; when the δ value of the clotted stone is greater than the preset value C, it indicates that the microbial development environment is suitable. 13 C value and seawater δ during the same period 13 When the negative bias of the C value is less than or equal to the preset value C, it indicates that the microbial development environment is unsuitable due to unsuitable factors.

[0053] When the Fe content of the flocculant is greater than or equal to the preset value D, it indicates that the flocculant has not been affected by strong water flow disturbance. When the Fe content of the flocculant is less than the preset value D, it indicates that the flocculant has been affected by strong water flow disturbance.

[0054] Preferably, the preset value A is 1 cm; the preset value B is 50%; the preset value C is 10%; and the preset value D is 0.2%.

[0055] Preferably, the determining module further includes an image analysis and processing unit, used to obtain a data analysis pattern of clumps through the indexing unit, analyze the data analysis pattern of clumps to obtain qualitative indicators, and then import the qualitative indicators into the pairing unit. This invention has the following beneficial effects: It utilizes the macroscopic morphology and microscopic composition of clumps as qualitative indicators, while simultaneously using geochemical indicators of clumps for quantitative judgment based on differences in microbial growth environment, water flow, tectonic deposition environment, and formation process duration. Combining qualitative and quantitative indicators improves the accuracy of analyzing the genetic mechanism of clumps in the target area.

[0056] This invention utilizes the macroscopic morphology and microscopic composition of clumps as qualitative indicators, while simultaneously employing geochemical indicators to quantitatively determine their formation based on differences in microbial growth environment, water flow, sedimentary texture, and formation duration. This combination of qualitative and quantitative indicators improves the accuracy of analyzing the genetic mechanisms of clumps in target areas.

[0057] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0059] Figure 1 This is a schematic diagram of a method for analyzing the genetic mechanism of clumps provided in an embodiment of the present invention;

[0060] Figure 2 This is a schematic diagram of a system for analyzing the genesis of boulders, provided in an embodiment of the present invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] Example 1:

[0063] like Figure 1 As shown, this invention provides an analytical method for the formation mechanism of clumps. In this embodiment, clumps are basically composed of six components: micritic, spherulites, large bioclastics, fungal debris, sand fragments, and shelled particles. During clump formation, the internal factors influencing clump growth are mainly microbial activity, which can directly form clumps through its own growth or bind various carbonate sedimentary particles. External factors mainly include hydrodynamic conditions, the stability of the overall environment, and the duration of clump formation. Therefore, clumps form in diverse environments, ranging from freshwater lakes to oceans. Thus, determining the origin of clumps requires consideration of multiple genetic mechanisms.

[0064] The analytical methods for the formation mechanism of clumps specifically include:

[0065] Classify the formation mechanism categories; the formation mechanism categories include whether the environment is suitable for microbial development, whether the formation environment is subject to strong water flow disturbance, whether the sedimentary environment is stable, and whether the formation process lasts for a long time.

[0066] Define and assign values ​​to feature indicators, and distinguish different causal mechanisms based on the feature indicators;

[0067] The characteristics of clumps are matched and compared with the characteristic indicators. The formation mechanism of clumps is determined based on the comparison results. Specifically, the characteristic indicators are defined as matching items and entered into the data matching system. A main matching item is defined for each characteristic indicator. The multiple indicator information under the main matching item is defined as the sub-matching items of the main matching item.

[0068] The features of the lumpy stone are defined as index items and entered into the data matching system. A main index item is defined for each type of lumpy stone feature, and the feature information of multiple feature categories under the main index item is defined as the sub-index items of the main index item.

[0069] An automatic matching model for the feature indicators and the features of the conglomerate is established in the data matching system. This automatic matching model completes the matching and comparison of conglomerate features and feature indicators. The matching method of the automatic matching model is as follows: Conglomerate features are obtained through index items. When all parameter values ​​of a conglomerate feature fall within the parameter range of the feature indicator under the same main matching item, it is automatically matched to the causal mechanism corresponding to the feature indicator. When all parameter values ​​of a conglomerate feature fall within the parameter range of the feature indicator under different main matching items, the weighting analysis method is used to determine the indicator weights of the main matching items and sub-matching items, and the total sub-weight value is calculated to determine the causal mechanism. Specifically: a weight value is defined for each main matching item, and a sub-weight value is defined for each sub-matching item in its corresponding main matching item. The sub-weight values ​​of the sub-matching items into which all parameter values ​​of the conglomerate feature fall are obtained, and the total sub-weight value under each main matching item is calculated. The calculation formula is as follows: C=∑A×B i Where A is the weight value of the main matching item, B is the sub-weight value under the corresponding main matching item, C is the total sub-weight value under the corresponding main matching item, and n is the number of sub-weight values ​​under the corresponding main matching item. Determine that all parameter values ​​of the clot feature fall within the feature index parameter range of the main matching item with the highest total sub-weight value, and automatically match it to the causal mechanism corresponding to the feature index.

[0070] Characteristic indicators are divided into qualitative and quantitative indicators. Qualitative indicators are further divided into macroscopic and microscopic qualitative indicators. Macroscopic qualitative indicators include the size, shape, and abundance of agglomerates.

[0071] Microscopic qualitative indicators include the type and abundance of components in the hemagglutinin;

[0072] The quantitative indicators include the stable isotope δ0.05 of clotstone. 13 C value, Fe content, major and trace elements, and rare earth elements.

[0073] When the diameter of the aggregate is greater than 1 cm, the formation process lasts a long time; when it is less than or equal to 1 cm, the formation process lasts a short time.

[0074] The shape of the aggregate is diffuse or rounded, indicating that the formation environment has not been disturbed by strong water flow; the shape is torn, indicating that the formation environment has been disturbed by strong water flow.

[0075] A clump abundance greater than 50% indicates a stable sedimentary environment for the texture; a clump abundance less than or equal to 50% indicates an unstable sedimentary environment for the texture.

[0076] The composition of micritic particles corresponds to a stable sedimentary environment; the composition of spherulites corresponds to an environment suitable for microbial development; the composition of large bioclastic particles corresponds to an environment disturbed by strong water flow; the composition of fungal debris corresponds to an environment suitable for microbial development; the composition of sand debris corresponds to an environment disturbed by strong water flow; and the composition of shelled particles corresponds to a long formation process.

[0077] In quantitative indicators: δ of clotted stone 13 C exhibits a negative shift characteristic, creating an environment suitable for microbial development; the δ of the clotted stone 13 C does not exhibit negative offset characteristics, indicating an environment unsuitable for microbial development;

[0078] The Fe content of the boulders is less than 0.2%, indicating that they were formed under the influence of strong water flow disturbance in the environment; the Fe content of the boulders is greater than or equal to 0.2%, indicating that they were formed without the influence of strong water flow disturbance in the environment.

[0079] The causal mechanism was determined by comprehensive indicators, and the data shown in Table 1 were obtained.

[0080] Table 1. Characteristic indicators of the samples

[0081]

[0082]

[0083] This invention utilizes the macroscopic morphology and microstructure of clumps as qualitative indicators, and uses δ 13 Using C value and Fe content as quantitative indicators, combining qualitative and quantitative indicators can more accurately determine the formation of clotted stones.

[0084] The system for analyzing the genetic mechanism of boulders based on the above analytical methods includes:

[0085] The partitioning module is used to classify causal mechanisms into categories;

[0086] The differentiation module is used to define and assign value to feature indicators, and to differentiate different causal mechanisms based on the feature indicators.

[0087] The determination module is used to match and compare the characteristics of clumps with characteristic indicators, and determine the genetic mechanism of clumps based on the comparison results.

[0088] Furthermore, the identified modules include:

[0089] The matching unit is used to define the feature indicators as matching items and input them into the data matching system, define a main matching item for each feature indicator, and define multiple indicator information under the main matching item as sub-matching items of the main matching item; the data matching system is used to accommodate matching items and index items, establish a pairing model, and complete the pairing.

[0090] The indexing unit is used to define the features of the conglomerate as index items and input them into the data matching system. It defines a main index item for each type of conglomerate feature and defines the feature information of multiple feature categories under the main index item as sub-index items of the main index item.

[0091] A pairing unit is used to establish an automatic matching model between the feature indicators and the features of the lumps in the data matching system. The automatic matching model completes the matching and comparison between the features of the lumps and the feature indicators. The matching method of the automatic matching model is as follows: the features of the lumps are obtained through index items. When all parameter values ​​of the lumps fall into the feature indicator parameter range under the same main matching item, the causal mechanism corresponding to the feature indicator is automatically matched. When all parameter values ​​of the lumps fall into the feature indicator parameter range under different main matching items, the index weights of the main matching items and sub-matching items are determined by weighted analysis, and the total sub-weight value is calculated to determine the causal mechanism.

[0092] The image analysis and processing unit is used to obtain the data analysis pattern of the clotted stone through the indexing unit, analyze the data analysis pattern of the clotted stone to obtain qualitative indicators, and then import the qualitative indicators into the matching unit to match the data analysis pattern of the clotted stone according to the principle of individual matching to obtain the target causal mechanism category.

[0093] Furthermore, by using weighted analysis to determine the index weights of the main and sub-matches, and calculating the total sub-weight value, the specific causal mechanism is determined as follows:

[0094] Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match;

[0095] Obtain the sub-weight values ​​of the sub-matching items to which all parameter values ​​of the clot feature fall, and calculate the total sub-weight value under each main matching item. The calculation formula is as follows:

[0096] Where A is the weight value of the main match item, B is the sub-weight value under the corresponding main match item, C is the total sub-weight value under the corresponding main match item, and n is the number of sub-weight values ​​under the corresponding main match item.

[0097] If all parameter values ​​of the clotted stone feature fall within the range of the feature index parameter under the main matching item with the highest subtotal weight value, it is automatically matched to the causal mechanism corresponding to the feature index.

[0098] The analysis system of this invention effectively solves the problem in the prior art that requires manual analysis of patterns and recording of data, followed by manual data matching. This invention can meticulously classify the genetic mechanism categories and specific characteristic parameters of tuff, and obtain more accurate target data through weighted analysis, making the matching results more precise. Generally, the matching results may have multiple approximate values, meaning the target weights of the matching results differ very little. In this case, multiple results will have reference value. This benefit is not achieved if a direct match is used to record a unique result (i.e., if the matching result is unique, then the result is unique).

[0099] Example 2:

[0100] This embodiment combines Figure 1 and Figure 2 This invention will be described in detail using the Lower Cambrian Changping Formation tuffaceous rocks from Mentougou District, Beijing as an example. The analytical methods for the genetic mechanism of the Lower Cambrian Changping Formation tuffaceous rocks from Mentougou District, Beijing include:

[0101] The first step involved classifying the genetic mechanisms of the Lower Cambrian Changping Formation tuffaceous rocks in Mentougou District, Beijing, into four categories: an environment suitable for microbial development, strong water flow disturbance during formation, a stable sedimentary environment, and a long formation process. These four aspects were defined as the main matching terms and entered into the data matching system as matching units. The sub-matching terms for the main matching term "environment suitable for microbial development" were "spherulitic components," "microbial debris components," and "δ-structure components." 13 The sub-matching items for the main matching item "strong water flow disturbance in the formation environment" are "c-value", "large bioclastic composition", "sand composition" and "Fe content"; the sub-matching items for the main matching item "stable sedimentary environment" are "c-value abundance" and "micritic composition"; the sub-matching items for the main matching item "long duration of formation process" are "c-value diameter" and "shell particle composition", as shown in Table 2.

[0102] Table 2 Feature indicators corresponding to matching items

[0103]

[0104] The second step involves analyzing the macroscopic and microscopic characteristics of the Lower Cambrian Changping Formation clumps in Mentougou District, Beijing. Clump characteristics are defined as index units in the data matching system, and the main index items are further defined as clump diameter, clump shape, clump abundance, micritic composition, spherulite composition, large bioclastic composition, fungal composition, sand composition, shell particle composition, and δ¹⁸O⁻. 13C value and Fe content, where the sub-index item for the main index item "Lumpstone Diameter" is ">1cm"; the sub-index item for the main index item "Lumpstone Shape" is "Torn"; the sub-index item for the main index item "Lumpstone Abundance" is ">50%"; the sub-index item for the main index item "Mimoid Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "Spherulite Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "Large Biodetritus Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "Fungal Detritus Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "Sand Detritus Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "Shell Granule Composition" is "Clearly Visible Under Microscope"; the sub-index item for the main index item "δ 13 The sub-index item for "C value" is "negative bias 10%"; the sub-index item for the main index item "Fe content" is ">0.2%", as shown in Table 3.

[0105] Table 3 Feature Indicators Corresponding to Index Items

[0106] Primary index item Sub-index item diameter >1cm shape Tear Abundance >50％ Micrite composition Visible under a microscope Pellet components Visible under a microscope Large biodebris components Visible under a microscope Fungal components Visible under a microscope Sand debris composition Visible under a microscope Coated granule components Visible under a microscope <![CDATA[δ 13 C value]]> 10% negative bias Fe content >0.2％

[0107] The third step involves importing the data analysis images of the Lower Cambrian Changping Formation in Mentougou District, Beijing, into an image analysis and processing system connected to the indexing unit. This system analyzes the data analysis images to obtain all qualitative indicators, including: "Lump Diameter" < 1 cm; "Lump Shape" torn; "Lump Abundance" > 50%; "Mizolith Composition" not visible under a microscope; "Spherulite Composition" not visible under a microscope; "Large Biodetrital Composition" clearly visible under a microscope; "Fungal Detritus Composition" clearly visible under a microscope; "Sand Detritus Composition" clearly visible under a microscope; "Shell Granule Composition" clearly visible under a microscope; and "δ¹⁸ ... 13 The C value is negatively biased by 10%; the Fe content is >0.2%. By retrieving the matching unit data through the matching unit, it can be seen that all the characteristic parameter values ​​of the qualitative indicators of the pattern fall into the characteristic parameter ranges under different main matching items in the matching unit.

[0108] Fourthly, based on previous research, this set of tuffaceous deposits was formed in a high-energy tidal flat environment. Combining this with the geological background, the weights of the main matching terms and sub-matching terms were determined. The weights for the main matching term "environment suitable for microbial development" were: 30%; "formation environment affected by strong water flow disturbance": 50%; "stable sedimentary environment": 10%; and "long duration of formation process": 10%. The sub-matching terms for the main matching term "environment suitable for microbial development" had the following weights: "spherulitic composition" 60%, "microbial debris composition" 10%, and "δ-microbe composition" 10%. 13The C value is 30%; the sub-matching items of the main matching item "formation environment affected by strong water flow disturbance" have the following weights: "cluster shape" 20%, "large bioclastic composition" 20%, "sand composition" 40%, and "Fe content" 20%; the sub-matching items of the main matching item "stability of the texture sedimentary environment" are "cluster abundance" 60% and "micritic composition" 40%; the sub-matching items of the main matching item "long duration of formation process" are "cluster diameter" 60% and "shell particle composition" 40%, as shown in Table 4.

[0109] Table 4. Weight values ​​of each characteristic indicator

[0110]

[0111]

[0112] The fifth step is to calculate the sub-weight values ​​of all sub-matching items under the main matching item in the matching unit for the characteristic index. The sub-weight values ​​under each main matching item are added together. It can be seen that the total sub-weight value of "environment suitable for microbial development" is 12%; the total sub-weight value of "formation environment affected by strong water flow disturbance" is 40%; the total sub-weight value of "stable sedimentary environment" is 6%; and the total sub-weight value of "long duration of formation process" is 4%.

[0113] Step 6: Based on all the above information, the main mechanism of this set of clot formation is "the strong water flow disturbance in the formation environment", and the secondary mechanism is "an environment suitable for microbial development".

[0114] In summary, the technical solution of this invention improves the accuracy of the analysis of the genetic mechanism of tuff in the target area, making the research results more objective.

[0115] Obviously, the apparatus for analyzing the formation mechanism of clumps provided in the above embodiments corresponds to the method embodiment for analyzing the formation mechanism of clumps in this application, and can realize the method embodiment of this application and achieve the technical effects of the method embodiment.

[0116] Each module and step described in the above embodiments can be implemented using a computer chip, a physical entity, or a hardware product with a certain function. They can be centralized on a single computing device or distributed across multiple computing devices connected in series via a network. Optionally, they can be implemented using computer-executable program code, executed by the computing device, and stored in a storage device. The described steps can be performed in a different order than those described herein, or they can be fabricated as integrated circuit modules, or multiple modules or steps can be fabricated as integrated circuit modules.

[0117] Therefore, the embodiments of the present invention are not limited to any specific combination of hardware and software. Based on this understanding, this application can also be implemented using necessary general-purpose hardware platforms and software.

[0118] The analytical method and system of this invention are not limited to boulders; other types of rocks can also be identified using similar methods, the difference being the definition and assignment of characteristic indicators.

[0119] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing the genetic mechanism of clumps, characterized in that, include Classify the causal mechanisms; Define and assign values ​​to feature indicators, and distinguish different causal mechanisms based on the feature indicators; The characteristics of clumps are matched and compared with characteristic indicators, and the genetic mechanism of clump formation is determined based on the comparison results. The genetic mechanisms are categorized as follows: suitability of the microbial development environment, stability of the sedimentary environment, strong water flow disturbance, and duration of the clot formation process; the characteristic indicators include: clot size, shape, abundance, composition type, and δ¹⁸O. 13 C value and Fe content; When the diameter of the aggregate is greater than the preset value A, the duration of the aggregate formation process is long; when the diameter of the aggregate is less than or equal to the preset value A, the duration of the aggregate formation process is short. When the shape of the clotted stone is diffuse or rounded, it indicates that it has not been affected by strong water flow disturbance. When the shape of the clotted stone is torn, it indicates that it has been affected by strong water flow disturbance. When the abundance of clumps is greater than the preset value B, the texture sedimentary environment is stable; when the abundance of clumps is less than or equal to the preset value B, the texture sedimentary environment is unstable. When the coagulant δ 13 C value and seawater δ during the same period 13 When the negative bias of the C value is greater than the preset value C, it indicates that the microbial development environment is suitable; when the δ of the clotted stone is greater than the preset value C, it indicates that the microbial development environment is suitable. 13 C value and seawater δ during the same period 13 When the negative bias of the C value is less than or equal to the preset value C, it indicates that the microbial development environment is unsuitable due to unsuitable factors. When the Fe content of the flocculant is greater than or equal to the preset value D, it indicates that the flocculant is not affected by strong water flow disturbance. When the Fe content of the flocculant is less than the preset value D, it indicates that the flocculant is affected by strong water flow disturbance.

2. The method for analyzing the genetic mechanism of clump formation according to claim 1, characterized in that, The specific steps of matching and comparing the characteristics of the clotted stone with the characteristic indicators are as follows: The feature indicators are defined as matching items and entered into the data matching system. A main matching item is defined for each feature indicator, and the various indicator information under the main matching item is defined as the sub-matching items of the main matching item. The features of the lumpy stone are defined as index items and entered into the data matching system. A main index item is defined for each type of lumpy stone feature, and the feature information of multiple feature categories under the main index item is defined as the sub-index items of the main index item. An automatic matching model is established in the data matching system to match the feature indicators with the features of the clotted stone. The automatic matching model is used to match and compare the features of the clotted stone with the feature indicators.

3. The method for analyzing the genetic mechanism of clumps according to claim 2, characterized in that, The matching method of the automatic matching model is as follows: The features of the clotted stone are obtained through index terms. When all parameter values ​​of the clotted stone features fall within the feature index parameter range under the same main matching term, the causal mechanism corresponding to the feature index is automatically matched. When all parameter values ​​of the clotted stone features fall within the feature index parameter range under different main matching terms, the index weights of the main matching terms and sub-matching terms are determined by weighted analysis, and the total sub-weight value is calculated to determine the causal mechanism.

4. The method for analyzing the genetic mechanism of clumps according to claim 3, characterized in that, The specific steps for determining the causal mechanism by using weighted analysis to assign index weights to the primary and secondary matching items and calculating the total sub-weight value are as follows: Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match; Obtain the sub-weight values ​​of the sub-matching items to which all parameter values ​​of the clot feature fall, and calculate the total sub-weight value under each main matching item. The calculation formula is as follows: Where A′ is the weight value of the main match, B′ is the sub-weight value under the corresponding main match, C′ is the total sub-weight value under the corresponding main match, and n is the number of sub-weight values ​​under the corresponding main match. If all parameter values ​​of the clotted stone feature fall within the range of the feature index parameter under the main matching item with the highest subtotal weight value, it is automatically matched to the causal mechanism corresponding to the feature index.

5. The method for analyzing the genetic mechanism of tuffaceous rocks according to any one of claims 1-4, characterized in that, The composition types include micritic, spherulites, large bioclastics, fungal debris, sand fragments, and shelled particles; among which, the stability of the sedimentary environment is determined based on the micritic zone grouping. The factors contributing to the suitability of the microbial development environment can be distinguished based on whether the microorganisms are spherical or fungal debris. The causes of strong water flow disturbances can be distinguished based on large biological debris or sand particles. The duration and etiology of the formation process of clumps can be distinguished based on the coating particles.

6. The method for analyzing the genetic mechanism of clump formation according to claim 1, characterized in that, The preset value A is 1 cm; the preset value B is 50%; the preset value C is 10%; and the preset value D is 0.2%.

7. A system for analyzing the genetic mechanism of boulders, characterized in that, include: The partitioning module is used to classify causal mechanisms into categories; The differentiation module is used to define and assign value to feature indicators, and to differentiate different causal mechanisms based on the feature indicators. The determination module is used to match and compare the characteristics of clumps with characteristic indicators, and determine the genetic mechanism of clumps based on the comparison results; The genetic mechanisms are categorized as follows: suitability of the microbial development environment, stability of the sedimentary environment, strong water flow disturbance, and duration of the clast formation process; the characteristic indicators include: clast size, shape, abundance, composition type, and δ¹⁸O. 13 C value and Fe content; When the diameter of the aggregate is greater than the preset value A, the duration of the aggregate formation process is long; when the diameter of the aggregate is less than or equal to the preset value A, the duration of the aggregate formation process is short. When the shape of the clotted stone is diffuse or rounded, it indicates that it has not been affected by strong water flow disturbance. When the shape of the clotted stone is torn, it indicates that it has been affected by strong water flow disturbance. When the abundance of clumps is greater than the preset value B, the texture sedimentary environment is stable; when the abundance of clumps is less than or equal to the preset value B, the texture sedimentary environment is unstable. When the coagulant δ 13 C value and seawater δ during the same period 13 When the negative bias of the C value is greater than the preset value C, it indicates that the microbial development environment is suitable; when the δ of the clotted stone is greater than the preset value C, it indicates that the microbial development environment is suitable. 13 C value and seawater δ during the same period 13 When the negative bias of the C value is less than or equal to the preset value C, it indicates that the microbial development environment is unsuitable due to unsuitable factors. When the Fe content of the flocculant is greater than or equal to the preset value D, it indicates that the flocculant is not affected by strong water flow disturbance. When the Fe content of the flocculant is less than the preset value D, it indicates that the flocculant is affected by strong water flow disturbance.

8. The system for analyzing the genetic mechanism of clump formation according to claim 7, characterized in that, The determining module includes: The matching unit is used to define the feature indicators as matching items and enter them into the data matching system, define a main matching item for each feature indicator, and define multiple indicator information under the main matching item as sub-matching items of the main matching item. The indexing unit is used to define the features of the conglomerate as index items and input them into the data matching system. It defines a main index item for each type of conglomerate feature and defines the feature information of multiple feature categories under the main index item as sub-index items of the main index item. The pairing unit is used to establish an automatic matching model between the feature indicators and the features of the clotted stone in the data matching system, and to complete the matching and comparison of clotted stone features and feature indicators through the automatic matching model.

9. The system for analyzing the genetic mechanism of clump formation according to claim 8, characterized in that, The matching method of the automatic matching model is as follows: The features of the clotted stone are obtained through index terms. When all parameter values ​​of the clotted stone features fall within the feature index parameter range under the same main matching term, the causal mechanism corresponding to the feature index is automatically matched. When all parameter values ​​of the clotted stone features fall within the feature index parameter range under different main matching terms, the index weights of the main matching terms and sub-matching terms are determined by weighted analysis, and the total sub-weight value is calculated to determine the causal mechanism.

10. The system for analyzing the genetic mechanism of clump formation according to claim 9, characterized in that, The specific steps for determining the causal mechanism by using weighted analysis to assign index weights to the primary and secondary matching items and calculating the total sub-weight value are as follows: Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match; Define the weight value of each main match and the sub-weight value of each sub-match in the corresponding main match; Obtain the sub-weight values ​​of the sub-matching items to which all parameter values ​​of the clot feature fall, and calculate the total sub-weight value under each main matching item. The calculation formula is as follows: Where A′ is the weight value of the main match, B′ is the sub-weight value under the corresponding main match, C′ is the total sub-weight value under the corresponding main match, and n is the number of sub-weight values ​​under the corresponding main match. If all parameter values ​​of the clotted stone feature fall within the range of the feature index parameter under the main matching item with the highest subtotal weight value, it is automatically matched to the causal mechanism corresponding to the feature index.

11. The system for analyzing the genetic mechanism of tuffaceous rocks according to any one of claims 7-10, characterized in that, The types of components include mud crystals, spherules, large bioclastics, fungal debris, sand fragments, and shelled particles; The definition and assignment of characteristic indices, and the differentiation of different formation mechanisms based on these indices, specifically include: differentiating the duration of the floc formation process based on floc size; differentiating the effect of strong water flow disturbance based on floc shape or Fe content; differentiating the stability of the tectonic depositional environment based on floc abundance; and differentiating the effect of δ... 13 The C-value distinguishes the factors contributing to the suitability of the microbial development environment, the factors contributing to the stability of the sedimentary environment based on the micritic zone grouping, the factors contributing to the suitability of the microbial development environment based on spherules or fungal debris, the factors contributing to the effects of strong water flow disturbance based on large biological debris or sand debris, and the factors contributing to the duration of the clot formation process based on the shelled particles.

12. The system for analyzing the genetic mechanism of clump formation according to claim 8, characterized in that, The preset value A is 1 cm; the preset value B is 50%; the preset value C is 10%; and the preset value D is 0.2%.

13. The system for analyzing the genetic mechanism of clump formation according to claim 10, characterized in that, The determining module further includes an image analysis and processing unit, which is used to obtain the data analysis pattern of the clotted stone through the indexing unit, analyze the data analysis pattern of the clotted stone to obtain qualitative indicators, and then import the qualitative indicators into the pairing unit.

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