CN112307765A - Method for determining classification and naming of fine sedimentary rocks of salinized lake facies - Google Patents

Method for determining classification and naming of fine sedimentary rocks of salinized lake facies Download PDF

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CN112307765A
CN112307765A CN202010970139.4A CN202010970139A CN112307765A CN 112307765 A CN112307765 A CN 112307765A CN 202010970139 A CN202010970139 A CN 202010970139A CN 112307765 A CN112307765 A CN 112307765A
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rock
debris
components
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CN112307765B (en
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支东明
王小军
常秋生
唐勇
郭旭光
秦志军
欧阳敏
黄立良
王霞田
赵龙
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Petrochina Co Ltd
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Abstract

The invention provides a method for determining classification and naming of fine sedimentary rocks of salinized lake facies. The method for determining the classification and naming of the fine sedimentary rocks of the salinized lake facies comprises the following steps: establishing a four-structure end member component division system, and detecting and acquiring component content information of corresponding rocks; for the types of the terrestrial fine powder and the endogenous particle component, two secondary three-end element division systems which take the terrestrial clastic component as a main body and the endogenous particle component as a main body are respectively established, and the corresponding component contents are respectively detected and obtained; for two secondary three-end element dividing systems respectively taking the land-source fine sand and the endogenous grain chips as main bodies, classifying by adopting the three-end element dividing systems respectively according to the components of the land-source fine sand chips and the component types of the endogenous grain chip particles, and detecting and acquiring the component content information of the corresponding rock; corresponding name data is determined. The method solves the problems that the classification and naming of the fine sedimentary rock are difficult and the lithological characterization of well logging is difficult to realize in the prior art.

Description

Method for determining classification and naming of fine sedimentary rocks of salinized lake facies
Technical Field
The invention relates to the technical field of rock classification in the petroleum and gas exploration industry, in particular to a method for classifying, naming and determining fine sedimentary rocks of a salinized lake phase.
Background
In recent years, with the rapid advance of the exploration and development of compact oil and shale oil and gas, fine sedimentary rock is becoming the key point and the hot point of the research of sedimentology; "fines deposition", first proposed by Krumbein 1932 based on particle size analysis; but because the fine particle sedimentary rock has finer particle size fraction and more component types, a systematic and scientific classification method for petrology is lacked; some scholars have attempted to propose a triangular classification scheme based on the principal mineral constituents using the whole-rock X-ray diffraction mineral analysis technique; some researchers have tried to classify and name fine-grained sedimentary rocks by using trace element analysis and rock occurrence analysis; some scholars propose rock component triangular classification schemes by using a rock slice analysis technology, and some four-component triangular classification schemes such as adding TOC (total organic carbon) in the axial direction of a triangle are not satisfactory; particularly, the salinization lake phase fine particle sedimentary rock contains the earth source mechanical transportation sedimentary mud and the fine sand, and also contains the endogenous chemical and biological action sedimentary mud crystal carbonate and particle carbonate, and the rock naming divergence is larger, and a normative and scientific classification method is lacked.
In order to solve the problem that systematic and scientific classification standards of petrology are not available for classifying types of fine grain sedimentary rocks of salinization lake facies, how to select corresponding names from a certain corresponding name database becomes an existing technical problem.
Therefore, the problems of difficult classification and naming of the fine-grained sedimentary rocks and difficult well-logging lithology characterization exist in the prior art.
Disclosure of Invention
The invention mainly aims to provide a method for determining the classification and naming of fine sedimentary rocks of a salinized lake facies, and aims to solve the problems that in the prior art, the classification and naming of the fine sedimentary rocks are difficult and the lithology characterization of well logging is difficult to realize.
In order to achieve the above object, according to an aspect of the present invention, there is provided a method for determining a classification name of a fine sedimentary rock of a salinized lake facies, comprising: establishing an end-member component dividing system of land source deposition mainly based on land source mechanical conveying deposited mud and fine sand and endogenously deposited mud crystal carbonate and grain debris mainly based on chemical and biological action or endogenously deposited microcrystalline carbonate and grain debris mainly, and detecting and acquiring component content information of corresponding rocks; wherein, for the terrestrial fine powder and the endogenous granular debris components, two secondary three-end element dividing systems which take the terrestrial debris component as a main body and the endogenous granular debris component as a main body are respectively established; for two secondary three-end element dividing systems respectively taking the land-source fine sand and the endogenous grain chips as main bodies, classifying by adopting the three-end element dividing systems respectively according to the components of the land-source fine sand chips and the component types of the endogenous grain chip particles, and detecting and acquiring the content information of each component of the corresponding rock; and after the content information of the components in each rock is obtained, determining corresponding name data according to the corresponding rock component content and a preset content name standard database.
Further, the method for determining the classification and naming of the fine sedimentary rock of the salinized lake facies further comprises the following steps: determining the types and the contents of the terrestrial structure components mainly comprising mud and fine sand mechanically conveyed and deposited by terrestrial and the four-end-members mainly comprising mud crystal carbonate and grain debris chemically and biologically deposited by endogenous action according to the cause types and the structural component characteristics of the rock components, and determining the types and the contents of the components of the terrestrial fine sand debris and the components of the endogenous grain debris particles for the terrestrial fine sand and the endogenous grain debris; and b, determining corresponding names from a first name database and a second name database according to the content of the structural components of different cause types in the four-end-element sediment system and the proportional relationship among the components, wherein the second name of the second name database is arranged in front of the first name database, a basic name matrix is stored in the first name database, an additional modifier matrix is stored in the second name database, the name of the large-class rock of the fine-grain sedimentary rock is determined, and for the land-source silt and the internal-source crumbs in the four-end-element structural components, the corresponding sub-class name data is determined from a content name standard database according to the content of each corresponding component in two secondary three-end-element partition systems and the proportional relationship among the components.
Further, in step b, the first name database stores basic rock names corresponding to components with relative content greater than 50% among the four structural components with different cause types, and sets a first name matrix M1(ci, k, di), where ci represents the component type with relative content greater than 50% among the four structural components with corresponding different cause types, k represents the relative content of the corresponding component, k is greater than or equal to 50%, and di represents the corresponding assigned name.
Further, in step b, determining the types and contents of four-end-element structural components of land-source components mainly comprising mud and fine sand deposited by land-source mechanical handling and internal-source components mainly comprising argillaceous carbonates and granular carbonates deposited by internal-source chemical and biological actions, dividing the types and contents into seven categories, setting c1 to represent argillaceous substances of mudstone, c2 to represent argillaceous crystals of argillaceous nephrite, c3 to represent fine sand of fine sandstone, c4 to represent fines of granular nephrite, c5 to represent internal-source components cloud and fine sand of cloud fine sandstone, c6 to represent ground-source components of granular fine sand and fines of sand granular nephrite, c7 to represent sandstone fine sand and fines of cloud fines, corresponding k values are all greater than or equal to 50%, corresponding pairs di to d1 to mudstone, d2 to mudstone, d3 to silllaceous sands, d4 to sandstone 82, and d5 to sandstone fine nephrite to fine nephrite, the value of d6 is sand marbled sandstone and the value of d7 is marbled sandstone.
Further, in step b, for the land-source components mainly comprising the land-source chips, according to the types and contents of minerals and chips of the components in the land-source chips, c31 represents quartz of quartz powder fine sandstone, c32 represents feldspar and quartz of feldspar quartz powder fine sandstone, c33 represents cuttings and quartz of rock debris quartz powder fine sandstone, c34 represents feldspar of feldspar powder fine sandstone, c35 represents cuttings and feldspar of rock debris feldspar powder fine sandstone, c36 represents feldspar and cuttings of feldspar rock debris powder fine sandstone, c37 represents cuttings of rock debris powder fine sandstone, and correspondingly, the k value and the corresponding name di; the k value is greater than or equal to 90%, the value of d31 is set as quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the feldspar content is greater than the debris content, the value of d32 is set as feldspar quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the debris content is greater than the feldspar content, the value of d33 is set as debris quartz powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-3, the value of d34 is rock debris feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-1/3, the value of d35 is set as feldspar debris powder fine sandstone, the k value is less than 75%, the feldspar/debris is greater than or equal to 3, the value of d36 is set as feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is less than or equal to 1/3, and the value of d37 is set as debris powder fine sandstone.
Further, in the step b, for endogenous components taking endogenous particle fragments as main bodies, the types and the contents of the components in the endogenous fragments are set as c41 to represent sand fragments of sand-dust marble cloud, c42 to represent green scraps, c43 to represent algae particles of algae-particle marble cloud, k values are all greater than or equal to 50%, correspondingly, d41 to sand-dust marble cloud, d42 to green-dust marble and d43 to algae-particle marble.
Further, in step b, a second name matrix M2(ai, ki, bi) is included in the second name database, where ai represents a corresponding certain material component, ki represents a corresponding content, bi represents a corresponding assigned parameter additional modifier, where a1 represents rock minor components and minerals, a2 represents heterobase or cement, a3 represents diagenesis products and specific structures, a4 represents diagenesis products, a5 represents sedimentary structures of fine-grained sedimentary rocks, and a6 represents carbonate rocks.
Further, in step b, for a1 representing rock minor components and minerals, k11 represents the content less than or equal to 10%, and corresponds to d11 without value; k12 indicates a content of more than 10% and less than 25%, and d12 is assigned as "comprising xxx", containing a certain component; k13 indicates a content of more than 25% and less than 50%, and d13 is assigned as "xxx prime".
Further, in the step b, for a2 represents heterobase or cement, k21 represents that the content is less than or equal to 10 percent, and the value is not assigned corresponding to d 21; k22 indicates a content of more than 10% and less than 25%, and d22 is assigned as "containing x prime"; k23 indicates a content of more than 25% and less than 50%, and d23 is assigned as "xxx prime".
Further, in step b, for a3 representing diagenesis products and special structures and structures, d3 is assigned as "diagenesis products and special structures and structures"; wherein, for a4 representing diagenetic change products, k41 represents diagenetic change product content more than 10% and less than 25%, and d41 is assigned as weak x change; k42 indicates a diagenetic change product content of greater than 25% and less than 50%, and a d42 value of "xxx"; wherein a5 represents sedimentary structural characteristics of various rocks of the fine-grained sedimentary rock, the main gap filler structural type is a rock of argillaceous carbonate or brilliant crystal carbonate, and d5 is assigned as 'argillaceous' or 'brilliant crystal'.
By applying the technical scheme of the invention, the method for determining the classification and naming of the salinized lake-facies fine sedimentary rock comprises the following steps: establishing an end-member component dividing system of land source deposition mainly based on land source mechanical conveying deposited mud and fine sand and endogenously deposited mud crystal carbonate and grain debris mainly based on chemical and biological action or endogenously deposited microcrystal carbonate and grain debris mainly, and detecting and acquiring component content information of corresponding rocks; for the types of the terrestrial fine powder and the endogenous particle component, two secondary three-end element division systems which take the terrestrial clastic component as a main body and the endogenous particle component as a main body are respectively established, and the corresponding component contents are respectively detected and obtained; for two secondary three-end element dividing systems respectively taking the land-source fine sand and the endogenous grain chips as main bodies, classifying by adopting the three-end element dividing systems respectively according to the components of the land-source fine sand chips and the component types of the endogenous grain chip particles, and detecting and acquiring the component content information of the corresponding rock; and after the content information of the components in each rock is obtained, determining corresponding name data according to the corresponding rock component content and a preset content name standard database.
The invention fully utilizes the rock slice analysis technology, the fine particle sedimentary rock formation mechanism and the component cause type analysis technology, analyzes the component cause types, the sedimentary modes and the hydrodynamic strength of the fine particle sedimentary rock, adopts a four-structure component end member division system, adopts a rock classification selection method combining the component cause types, the structures, the detritus components and the mineral components, establishes a scientific classification selection system suitable for practical production application, selects corresponding names from the existing standard name database, and combines name fields to complete the selection naming process. In the invention, a first name database and a second name database are set to select corresponding names, the second name is arranged in front of the first name, a basic name matrix is stored in the first name database, an additional modifier matrix is stored in the second name database, and after rock components are detected, corresponding pre-stored names or combinations are selected according to the corresponding relationship between the rock components and the names in the corresponding databases. In addition, the invention sets the basic rock names corresponding to the components with the content of more than 50 percent in the four-structure components with different cause types stored in the first name database, and sets a first name matrix M1(ci, k, di), wherein ci represents the component type with the content of more than 50 percent in the four-structure components with the corresponding different cause types, k represents the content of the corresponding component, k is more than or equal to 50 percent, and di represents the corresponding assigned name. The second name database comprises a second name matrix M2(ai, ki, bi), wherein ai represents a corresponding certain substance component, ki represents a corresponding content, bi represents a corresponding assigned parameter additional modifier, a1 represents rock minor components and minerals, a2 represents a heterobase or cement, a3 represents diagenesis products and special structures and structures, a4 represents diagenesis products, a5 represents sedimentary structures of various rock types of fine sedimentary rocks, and a6 represents carbonate rock types. The method comprises the steps of respectively assigning corresponding values according to different substances and components after detecting corresponding substances and components, selecting corresponding standard classification names through the two databases after determining corresponding component substances, calculating and selecting corresponding classification names through obtaining corresponding components in the operation process of the databases, determining sensitive parameters through core scale logging on fine sedimentary rocks, establishing an identification chart, and realizing lithology logging characterization of the fine sedimentary rocks in the whole well section.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 illustrates a schematic diagram of a classification of a saltating lake facies fine sedimentary rock according to an embodiment of the present invention;
FIG. 2 illustrates a fine grained sedimentary lithology identification chart for a particular embodiment of the present invention;
FIG. 3 illustrates a full interval lithology log characterization of fine grained sedimentary rock in accordance with an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
It is noted that, unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
In the present invention, unless specified to the contrary, use of the terms of orientation such as "upper, lower, top, bottom" or the like, generally refer to the orientation as shown in the drawings, or to the component itself in a vertical, perpendicular, or gravitational orientation; likewise, for ease of understanding and description, "inner and outer" refer to the inner and outer relative to the profile of the components themselves, but the above directional words are not intended to limit the invention.
In order to solve the problems that fine grain sedimentary rock classification and naming are difficult and well logging lithology characterization is difficult to achieve in the prior art, the application provides a method for determining the classification and naming of the fine grain sedimentary rock of the salinized lake facies.
The method for determining the classification and naming of the salinized lake-facies fine sedimentary rock comprises the following steps: establishing an end-member component dividing system of land source deposition mainly based on land source mechanical conveying deposited mud and fine sand and endogenously deposited mud crystal carbonate and grain debris mainly based on chemical and biological action or endogenously deposited microcrystalline carbonate and grain debris mainly, and detecting and acquiring component content information of corresponding rocks; wherein, for the terrestrial fine powder and the endogenous granular debris components, two secondary three-end element dividing systems which take the terrestrial debris component as a main body and the endogenous granular debris component as a main body are respectively established; for two secondary three-end element dividing systems respectively taking the land-source fine sand and the endogenous grain chips as main bodies, classifying by adopting the three-end element dividing systems respectively according to the components of the land-source fine sand chips and the component types of the endogenous grain chip particles, and detecting and acquiring the content information of each component of the corresponding rock; and after the content information of the components in each rock is obtained, determining corresponding name data according to the corresponding rock component content and a preset content name standard database.
The invention fully utilizes the rock slice analysis technology, the fine particle sedimentary rock formation mechanism and the component cause type analysis technology, analyzes the component cause types, the sedimentary modes and the hydrodynamic strength of the fine particle sedimentary rock, adopts a four-structure component end member division system, adopts a rock classification selection method combining the component cause types, the structures, the detritus components and the mineral components, establishes a scientific classification selection system suitable for practical production application, selects corresponding names from the existing standard name database, and combines name fields to complete the selection naming process. In the invention, a first name database and a second name database are set to select corresponding names, the second name is arranged in front of the first name, a basic name matrix is stored in the first name database, an additional modifier matrix is stored in the second name database, and after rock components are detected, corresponding pre-stored names or combinations are selected according to the corresponding relationship between the rock components and the names in the corresponding databases. In addition, the invention sets the basic rock names corresponding to the components with the content of more than 50 percent in the four-structure components with different cause types stored in the first name database, and sets a first name matrix M1(ci, k, di), wherein ci represents the component type with the content of more than 50 percent in the four-structure components with the corresponding different cause types, k represents the content of the corresponding component, k is more than or equal to 50 percent, and di represents the corresponding assigned name. The second name database comprises a second name matrix M2(ai, ki, bi), wherein ai represents a corresponding certain substance component, ki represents a corresponding content, bi represents a corresponding assigned parameter additional modifier, a1 represents rock minor components and minerals, a2 represents a heterobase or cement, a3 represents diagenesis products and special structures and structures, a4 represents diagenesis products, a5 represents sedimentary structures of various rock types of fine sedimentary rocks, and a6 represents carbonate rock types. The method comprises the steps of respectively assigning corresponding values according to different substances and components after detecting corresponding substances and components, selecting corresponding standard classification names through the two databases after determining corresponding component substances, calculating and selecting corresponding classification names through obtaining corresponding components in the operation process of the databases, determining sensitive parameters through core scale logging on fine sedimentary rocks, establishing an identification chart, and realizing lithology logging characterization of the fine sedimentary rocks in the whole well section.
Specifically, the method for determining the classification and naming of the fine sedimentary rock of the salinized lake facies further comprises the following steps: determining the types and the contents of the terrestrial structure components mainly comprising mud and fine sand mechanically conveyed and deposited by terrestrial and the four-end-members mainly comprising mud crystal carbonate and grain debris chemically and biologically deposited by endogenous action according to the cause types and the structural component characteristics of the rock components, and determining the types and the contents of the components of the terrestrial fine sand debris and the components of the endogenous grain debris particles for the terrestrial fine sand and the endogenous grain debris; and b, determining corresponding names from a first name database and a second name database according to the content of the structural components of different cause types in the four-end-element sediment system and the proportional relationship among the components, wherein the second name of the second name database is arranged in front of the first name database, a basic name matrix is stored in the first name database, an additional modifier matrix is stored in the second name database, the name of the large-class rock of the fine-grain sedimentary rock is determined, and for the land-source silt and the internal-source crumbs in the four-end-element structural components, the corresponding sub-class name data is determined from a content name standard database according to the content of each corresponding component in two secondary three-end-element partition systems and the proportional relationship among the components. The method adopts a rock classification and naming selection mode combining the cause types of all components with the structure, the detritus components and the mineral components, selects names prestored in a corresponding database according to the content of all the components of the rock, establishes a scientific classification system framework suitable for practical production and application, and can lay a foundation for research on the salinized lake-phase fine-grained sedimentary rock petrology and the sedimentary environment.
Specifically, in the step b, the first name database stores basic rock names corresponding to components with relative content greater than 50% among the four structural components with different cause types, and sets the first name matrix M1(ci, k, di), where ci represents the component type with relative content greater than 50% among the four structural components with corresponding different cause types, k represents the relative content of the corresponding component, k is greater than or equal to 50%, and di represents the corresponding assigned name. Selecting the basic name of the rock as a basis for determining the basic name of the rock, wherein the content of the rock is more than 50%; for example, for rocks mainly containing endogenous particle debris or terrestrial debris, the basic name of the rock is determined according to the types and contents of minerals and debris of each component in the endogenous particle debris or the terrestrial debris.
Specifically, in the step b, the types and contents of four-end-element structural components mainly including earth-source mechanically-carried sedimentary mud, silty fine sand and endogenous chemically and biologically-sedimentary mudstone carbonate and granular carbonate are determined to be classified into seven categories, as shown in fig. 1, c1 represents mudstone, c2 represents mudstone of mudstone cloud, c3 represents silty fine sand of silty fine sandstone, c4 represents fines of the silty cloud, c5 represents clouds and silty fine sand of the cloud silty fine sandstone, c6 represents mudstone-source-component silty fine sand and fines of the sandy silty cloud, c7 represents silty fine sand and fines of the silty sandstone, correspondingly, k values are both 50% or more, corresponding to di, d1 is set as mudstone, d2 is set as the mudstone, d3 is set as the fine silty fine sand, d 67 4 is set as the silty fine sandstone, and 5 is set as the fine silty fine sandstone, the value of d6 is sand marbled sandstone and the value of d7 is marbled sandstone.
Specifically, in the step b, for the land-source components mainly comprising the land-source chips, c31 represents quartz of quartz powder fine sandstone, c32 represents feldspar and quartz of feldspar quartz powder fine sandstone, c33 represents cuttings and quartz of rock debris quartz powder fine sandstone, c34 represents feldspar of feldspar powder fine sandstone, c35 represents cuttings and feldspar of rock debris feldspar powder fine sandstone, c36 represents feldspar and rock debris of feldspar rock debris powder fine sandstone, c37 represents cuttings of rock debris powder fine sandstone, and correspondingly, the k value and the corresponding name di are set according to the types and the contents of minerals and chips of the components in the land-source chips; the k value is greater than or equal to 90%, the value of d31 is set as quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the feldspar content is greater than the debris content, the value of d32 is set as feldspar quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the debris content is greater than the feldspar content, the value of d33 is set as debris quartz powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-3, the value of d34 is rock debris feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-1/3, the value of d35 is set as feldspar debris powder fine sandstone, the k value is less than 75%, the feldspar/debris is greater than or equal to 3, the value of d36 is set as feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is less than or equal to 1/3, and the value of d37 is set as debris powder fine sandstone.
Specifically, in the step b, for endogenous components mainly containing endogenous particle fragments, the types and the contents of the components in the endogenous fragments are set as c41 for sand fragments of sand-dust marble cloud, c42 for green-dust, c43 for algae particles of algae-particle marble cloud, the k values are all greater than or equal to 50%, correspondingly, d41 for sand-dust marble cloud, d42 for green-dust marble cloud, and d43 for algae-particle marble cloud.
Preferably, for rocks mainly containing carbonate deposited by endogenous chemical and biological deposition, the relative content of the carbonate minerals more than 50% (or the maximum content) is taken as the basis for determining the basic names of the rocks; for rocks which take detritus components such as fine sand grade deposited by land source mechanical deposition as main bodies, determining subclasses according to the contents of detritus minerals and rock debris in the detritus components, and taking the subclasses as the basis for determining the basic names of the rocks; the structure of the clastic rock deposited by land-source mechanical sedimentation is used as an additional modifier, and exists in a structure, namely the structure is used as the additional modifier; the two structures exist simultaneously and are arranged in the sequence of the secondary one before the primary one and then as additional modifiers.
Specifically, in the step b, the second name database includes a second name matrix M2(ai, ki, bi), where ai represents a corresponding certain material component, ki represents a corresponding content, bi represents a corresponding assigned parameter additional modifier, where a1 represents rock minor components and minerals, a2 represents heterobase or cement, a3 represents diagenesis products and special structures, a4 represents diagenesis products, a5 represents sedimentary structures of fine-grained sedimentary rocks, and a6 represents carbonate rocks.
Specifically, in the step b, for a1 representing rock minor components and minerals, k11 represents that the content is less than or equal to 10%, and the value is not assigned corresponding to d 11; k12 represents a content of more than 10% and less than 25%, and d12 is assigned as "having xxx" and contains a component such as: sandy argillaceous crystal cloud; k13 indicates a content of more than 25% and less than 50%, and d13 is assigned as "xxx quality", as follows: sandy argillaceous crystal cloud rock.
Specifically, in the step b, for a2 represents heterobase or cement, k21 represents that the content is less than or equal to 10 percent, and the value is not assigned corresponding to d 21; k22 indicates a content of more than 10% and less than 25%, and d22 is assigned a value of "x prime", such as: dolomite containing gritty sand; k23 indicates a content of greater than 25% and less than 50% and d23 is assigned a value of "xxx", such as dolomitic gray matter.
Specifically, in the step b, for a3 representing diagenesis products and special structures and structures, d3 is assigned as "diagenesis products and special structures and structures"; wherein, for a4 representing diagenetic change products, k41 represents diagenetic change product content more than 10% and less than 25%, d41 is assigned as weak Xx conversion, such as weak silicified mudstone; k42 indicates a diagenetic change of greater than 25% and less than 50%, and d42 is assigned as "x", as: silicified mudstone; it should be noted that the clouding of dolomite formed in the quasi-syngeneic and diagenetic process can be omitted. Wherein a5 represents sedimentary structural characteristics of various rocks of the fine-grained sedimentary rock, the main gap filler structural type is a rock of argillaceous carbonate or brilliant crystal carbonate, and d5 is assigned as 'argillaceous' or 'brilliant crystal'.
The product of the metaplasia can be used as an additional modifier, and the sedimentary structures of various rocks of the fine-grained sedimentary rock can be used as additional modifiers. And for the fine grain sedimentary rock, logging is carried out through the result scale of core analysis, the structural index and the skeleton density of the rock are determined to be used as logging sensitive parameters, and an identification chart is established, and is specifically shown in figure 2.
Rock structure index:
Ljg=Phie/Phit
in the formula: ljg qualitative reflects the structural index of particle size change, dimensionless;
phie nmr log effective porosity (3ms porosity);
phit nmr logs total porosity (0.3ms porosity).
Framework density parameters:
ρma=(ρb-Phit×ρf)/(1-Phit)
in the formula: rhomaSkeleton density of rock, g/cm 3;
ρfdensity of pore fluid, g/cm 3;
phit nmr log total porosity, decimal.
According to the established lithology identification chart of the fine particle sedimentary rock, the lithology of the fine particle sedimentary rock can be identified through logging, and the full-well lithology logging characterization is realized, as shown in figure 3; the method comprises the steps of logging by using core scales, determining a rock structure index by selecting effective porosity and total porosity of nuclear magnetic resonance logging, determining a rock skeleton density by selecting pore fluid density and total porosity of nuclear magnetic resonance logging, and establishing a fine particle sedimentary rock lithology identification chart according to the rock structure index and skeleton density parameters to realize logging characterization of the fine particle sedimentary rock in the whole well section, wherein the logging characterization is shown in table 1.
TABLE 1 classification chart of cause, component and structure of fine sedimentary rock of salinized lake facies
Figure BDA0002683772650000071
Figure BDA0002683772650000081
Note: algae particles: including oolitic, nucleated stone, spherulites, bean particles, and bacteria-algae agglomerates associated with bacteria, algae, etc.
From the above description, it can be seen that the above-described embodiments of the present invention achieve the following technical effects:
the invention fully utilizes the rock slice analysis technology, the fine particle sedimentary rock formation mechanism and the component cause type analysis technology, analyzes the component cause types, the sedimentary modes and the hydrodynamic strength of the fine particle sedimentary rock, adopts a four-structure component end member division system, adopts a rock classification selection method combining the component cause types, the structures, the detritus components and the mineral components, establishes a scientific classification selection system suitable for practical production application, selects corresponding names from the existing standard name database, and combines name fields to complete the selection naming process.
It is to be understood that the above-described embodiments are only a few, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular is intended to include the plural unless the context clearly dictates otherwise, and it should be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of features, steps, operations, devices, components, and/or combinations thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for determining classification and naming of fine sedimentary rocks of salinized lake facies is characterized by comprising the following steps:
establishing an end-member component dividing system of land source deposition mainly based on land source mechanical conveying deposited mud and fine sand and endogenously deposited mud crystal carbonate and grain debris mainly based on chemical and biological action or endogenously deposited microcrystalline carbonate and grain debris mainly, and detecting and acquiring component content information of corresponding rocks;
wherein, for the terrestrial fine powder and the endogenous granular debris components, two secondary three-end element dividing systems which take the terrestrial debris component as a main body and the endogenous granular debris component as a main body are respectively established;
for two secondary three-end element dividing systems respectively taking the land-source fine sand and the endogenous grain chips as main bodies, classifying by adopting the three-end element dividing systems respectively according to the components of the land-source fine sand chips and the component types of the endogenous grain chip particles, and detecting and acquiring content information of each component of the corresponding rock;
and after the content information of the components in each rock is obtained, determining corresponding name data according to the corresponding rock component content and a preset content name standard database.
2. The method for determining the classification and naming of the saltating lake facies fine sedimentary rock according to claim 1, further comprising:
step a, determining the types and the contents of the terrestrial structure components mainly comprising mud and silt fine sand which are mechanically conveyed and deposited by terrestrial sources and the four-end-members of endogenous structure components mainly comprising endogenous chemical and biological function deposited mud crystal carbonate and grain debris according to the cause types and the structural component characteristics of rock components, and determining the types and the contents of the components of the terrestrial fine sand debris and the components of the endogenous grain debris particles for the terrestrial fine sand and the endogenous grain debris;
and b, determining corresponding names from a first name database and a second name database according to the content of structural components of different cause types in the four-end-element sediment system and the proportional relationship among the components, wherein the second name of the second name database is arranged in front of the first name database, a basic name matrix is stored in the first name database, an additional modifier matrix is stored in the second name database, the name of the large-class rock of the fine-particle sediment rock is determined, and for the land-source fine sand and the internal granular debris particles in the four-end-element structural components, the corresponding subclass name data is determined from the content name standard database according to the content of each corresponding component in the two secondary three-end-element partition systems and the proportional relationship among the components.
3. The method for determining the classified name of a salty lake facies fine sedimentary rock according to claim 2, wherein in the step b, the first name matrix M1(ci, k, di) is set, wherein ci represents a component type having a relative content of more than 50% among the four structural components having different cause types, k represents a relative content of the corresponding component, k is equal to or greater than 50%, and di represents a corresponding assigned name, and the rock base names corresponding to the components having a relative content of more than 50% among the four structural components having different cause types are stored in the first name database.
4. The method for determining the classified names of the fine-grained sedimentary rocks of the salinized lake facies according to claim 3, wherein in the step b, the types and contents of four-terminal structural components of the land-based components mainly consisting of the land-based mechanically transported sedimentary mud, the silty sand, and the endogenous chemically and biologically acting sedimentary crystalline carbonates and granular carbonates are determined to be classified into seven categories, c1 represents the argillaceous nature of the mudstone, c2 represents the argillaceous crystals of the mudstone, c3 represents the silty sand of the silty sand, c4 represents the fines of the silty cloud, c5 represents the endogenous components of the silty fine sand, cloud and silty sand, c6 represents the land-based components silty sand and silty sand of the silty sand, c7 represents the silty sand and the silty sand of the silty sand, the corresponding k values are both 50% or more, the corresponding values for di, d1 is set as the value of the mudstone, and d2 is set as the mudstone, d3 is siltstone, d4 is detritus nephrite, d5 is siltstone, d6 is gritture nephrite, and d7 is doutstone.
5. The method for classifying, naming and determining a salty lake facies fine sedimentary rock according to claim 4, wherein in the step b, for the land-source component mainly composed of the land-source fragments, c31 represents quartz of quartz powder fine sandstone, c32 represents feldspar and quartz of feldspar quartz powder fine sandstone, c33 represents rock debris and quartz of rock debris quartz powder fine sandstone, c34 represents feldspar of feldspar powder fine sandstone, c35 represents rock debris and feldspar of rock debris feldspar powder fine sandstone, c36 represents feldspar and rock debris of feldspar rock debris powder fine sandstone, c37 represents rock debris of rock debris powder fine sandstone, corresponding, k value, corresponding name di; the k value is greater than or equal to 90%, the value of d31 is set as quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the feldspar content is greater than the debris content, the value of d32 is set as feldspar quartz powder fine sandstone, the k value is greater than or equal to 75% and less than 90%, the debris content is greater than the feldspar content, the value of d33 is set as debris quartz powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-3, the value of d34 is rock debris feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is 1-1/3, the value of d35 is set as feldspar debris powder fine sandstone, the k value is less than 75%, the feldspar/debris is greater than or equal to 3, the value of d36 is set as feldspar powder fine sandstone, the k value is less than 75%, the feldspar/debris is less than or equal to 1/3, and the value of d37 is set as debris powder fine sandstone.
6. The method for determining the classification and nomenclature of fine-grained sedimentary rocks of salted lake phases according to claim 4, wherein in the step b, for endogenous components mainly comprising endogenous granular debris, the types and the contents of the components in the endogenous debris, c41 is set to represent sand shavings of sand-shavings nephrite, c42 is set to represent green shavings, c43 is set to represent algae grains of algae grain nephrite, k values are all equal to or greater than 50%, corresponding d41 represents sand-shavings nephrite, d42 represents green-shavings nephrite, and d43 represents algae grain nephrite.
7. The method for determining the classification and naming of the fine grained sedimentary rocks of a saltating lake according to claim 2, characterized in that in step b, a second name matrix M2(ai, ki, bi) is included in the second name database, where ai represents a corresponding certain material component, ki represents a corresponding content, and bi represents a corresponding assigned parametric additional modifier, where a1 represents minor rock components and minerals, a2 represents a heterobase or cement, a3 represents diagenetic products and specific structures, configurations, a4 represents diagenetic products, a5 represents sedimentary configurations of fine grained sedimentary rocks, and a6 represents carbonate rocks.
8. The method for determining the classification name of a fine sedimentary rock of a saltating lake phase as claimed in claim 7, wherein in said step b, for a1 representing minor rock components and minerals, k11 represents a content of 10% or less, corresponding to d11 without assignment; k12 indicates a content of more than 10% and less than 25%, and d12 is assigned as "comprising xxx", containing a certain component; k13 indicates a content of more than 25% and less than 50%, and d13 is assigned as "xxx prime".
9. The method for determining the classification and nomenclature of fine-grained sedimentary rocks of salted lake phases according to claim 7, wherein in the step b, for a2 representing heterobase or cement, k21 represents a content of 10% or less, corresponding to d21 without assignment; k22 indicates a content of more than 10% and less than 25%, and d22 is assigned as "containing x prime"; k23 indicates a content of more than 25% and less than 50%, and d23 is assigned as "xxx prime".
10. The method for determining the classification and nomenclature of fine-grained sedimentary rocks of salinized lake facies according to claim 7, wherein in said step b, for a3 representing diagenesis products and specific structures, configurations, d3 is assigned as "diagenesis products and specific structures, configurations"; wherein, for a4 representing diagenetic change products, k41 represents diagenetic change product content more than 10% and less than 25%, and d41 is assigned as weak x change; k42 indicates a diagenetic change product content of greater than 25% and less than 50%, and a d42 value of "xxx"; wherein a5 represents sedimentary structural characteristics of various rocks of the fine-grained sedimentary rock, the main gap filler structural type is a rock of argillaceous carbonate or brilliant crystal carbonate, and d5 is assigned as 'argillaceous' or 'brilliant crystal'.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113669055A (en) * 2021-08-27 2021-11-19 长江大学 Clastic rock reservoir classification evaluation method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105938099A (en) * 2016-07-07 2016-09-14 四川大学 Rock character judging method and system based on laser-induced breakdown spectroscopy
CN106469257A (en) * 2016-09-09 2017-03-01 中国海洋石油总公司 A kind of mixed deposit petrographic classification naming method based on three end member mineral contents
CN107194401A (en) * 2017-05-23 2017-09-22 南京师范大学 A kind of automation igneous rock sorting technique based on Gray-scale Matching
US20190120992A1 (en) * 2016-05-18 2019-04-25 Adrok Limited Method for determining material and/or subsurface temperatures
CN110633338A (en) * 2018-06-05 2019-12-31 宁波欧依安盾安全科技有限公司 Intelligent risk prompting system for industrial places
US20200097587A1 (en) * 2018-09-25 2020-03-26 Sap Se Machine learning detection of database injection attacks
KR20200051219A (en) * 2018-11-05 2020-05-13 서강대학교산학협력단 Device and method for classifying smart contract
CN111506758A (en) * 2020-04-16 2020-08-07 腾讯科技(深圳)有限公司 Method and device for determining article name, computer equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190120992A1 (en) * 2016-05-18 2019-04-25 Adrok Limited Method for determining material and/or subsurface temperatures
CN105938099A (en) * 2016-07-07 2016-09-14 四川大学 Rock character judging method and system based on laser-induced breakdown spectroscopy
CN106469257A (en) * 2016-09-09 2017-03-01 中国海洋石油总公司 A kind of mixed deposit petrographic classification naming method based on three end member mineral contents
CN107194401A (en) * 2017-05-23 2017-09-22 南京师范大学 A kind of automation igneous rock sorting technique based on Gray-scale Matching
CN110633338A (en) * 2018-06-05 2019-12-31 宁波欧依安盾安全科技有限公司 Intelligent risk prompting system for industrial places
US20200097587A1 (en) * 2018-09-25 2020-03-26 Sap Se Machine learning detection of database injection attacks
KR20200051219A (en) * 2018-11-05 2020-05-13 서강대학교산학협력단 Device and method for classifying smart contract
CN111506758A (en) * 2020-04-16 2020-08-07 腾讯科技(深圳)有限公司 Method and device for determining article name, computer equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113669055A (en) * 2021-08-27 2021-11-19 长江大学 Clastic rock reservoir classification evaluation method
CN113669055B (en) * 2021-08-27 2023-03-03 长江大学 Clastic rock reservoir classification evaluation method

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