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Sedimentary rock granularity mathematical statistical analysis method

A technology of mathematical statistics and analytical methods, applied in the field of sedimentary rock petrology research in sedimentary basins, can solve the problems of lack of system and reliability, and achieve the effect of improving system

Pending Publication Date: 2022-03-08
核工业二〇八大队
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Problems solved by technology

[0005] Based on this, it is necessary to provide a mathematical statistical analysis method for sedimentary rock particle size in view of the lack of systematicness and reliability of the existing particle size data statistical methods, which can improve the systematicness and reliability of the study on the particle size of sedimentary rock clastics

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Embodiment 1

[0038] Taking the Erlian Basin Tengger region as an example, describe in detail the sedimentary rock particle size mathematical statistical analysis method of the present invention, including the following steps:

[0039] Step (1), carry out systematic particle size analysis sample collection and analysis on the upper part of the Saihan Formation, the main research layer in the Tengger area of ​​the Erlian Basin, and continuously sample sedimentary rocks in the same sedimentary strata, and the number of samples for particle size analysis in the same sedimentary stratum is 30- 50 groups, the particle size analysis samples come from drill cores and field outcrops, through the particle size analysis test, the particle size data, the weight percentage of debris in a certain particle size data interval, the cumulative weight percentage calculated from the coarse particle size and a certain particle size The probability percentage of the data interval, the granularity interval is sel...

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Abstract

The invention particularly relates to a sedimentary rock granularity mathematical statistical method which comprises the following steps: performing statistical analysis on a granularity analysis sample to obtain granularity data, the weight percentage of debris in a certain granularity data interval, the cumulative weight percentage calculated from a coarse fraction and the probability percentage of the certain granularity data interval; according to the granularity data and the cumulative weight percentage calculated from the coarse fraction, a cumulative curve graph is compiled; according to the granularity data and the accumulative curve graph, granularity parameters of the sedimentary rock clastic objects are obtained through calculation; according to the function relationship between the granularity data and the granularity parameters of the sedimentary rock clastic objects, compiling a granularity cause diagram, and judging the cause environment of the sedimentary rock clastic objects; according to the granularity parameters and granularity cause diagrams of the sedimentary rock clastic objects, the granularity characteristic indication significance is analyzed. According to the sedimentary rock granularity mathematical statistical method, systematicness and reliability of sedimentary rock clastic matter granularity research are improved.

Description

technical field [0001] The invention belongs to the technical field of sedimentary rock petrology research in sedimentary basins, and in particular relates to a mathematical statistical analysis method for sedimentary rock particle size. Background technique [0002] Grain size is one of the main characteristics of sedimentary rocks, and it is an important characterization of the grain structure characteristics of sedimentary rock clastics. The analysis method of obtaining particle size data is called particle size analysis, and the purpose of particle size analysis is to study the particle size and particle size distribution of sedimentary rocks. The particle size distribution and sorting properties of sedimentary rocks can be used as quantitative indicators for the classification of sediments and sedimentary rocks, a measure of the energy of sedimentary media, and can reflect the hydrodynamic properties of sedimentation. It is a good sign of natural geographical environme...

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Application Information

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IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 李华明李玲彭云彪齐彦宏蒋孝君张海云任全李喜斌李天瑜李东鹏孙巍段桂英刘青占
Owner 核工业二〇八大队
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