CN-122020995-A - Automatic canyon morphology recognition and hydrodynamic analysis method based on submarine topography data

CN122020995ACN 122020995 ACN122020995 ACN 122020995ACN-122020995-A

Abstract

The invention relates to the technical field of research of a sedimentary reservoir, and discloses a method for automatically identifying the morphology of a canyon and analyzing hydrodynamic force based on submarine topography data, which comprises the steps of obtaining submarine topography data of a target canyon; obtaining deep-body lines according to submarine topography data, obtaining canyon morphological parameter data according to the deep-body lines, constructing an improved hydrodynamic model based on the canyon morphological parameter data, obtaining hydrodynamic parameter data, and integrating the canyon morphological parameter data and the hydrodynamic parameter data to realize turbidity current event reconstruction and deposition dynamics interpretation of a target canyon. The invention effectively solves the core defects of low efficiency, strong subjectivity, insufficient coverage, limited parameters and the like of the traditional method through the automation and standardization of the whole flow, and provides a novel method for analyzing the submarine canyon, which is efficient, objective and comprehensive and can go deep into a power mechanism from a form.

Inventors

ZHANG XU
GUO FUXIN
GAO YIHUA
MA KANG
XIONG HAO
HU JIN
FAN HONGJUN
XU HONGXIANG
YUAN ZHIWANG
WANG HUI
GE ZHIYUAN
XU WEI
LIN XINGYUE
DUAN RUIKAI

Assignees

中海石油(中国)有限公司
中海石油（中国）有限公司北京研究中心

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (10)

1. An automatic isthmus morphology recognition and hydrodynamic analysis method based on submarine topography data, comprising the steps of: acquiring submarine topography data of a target canyon; obtaining a deep body line according to the submarine topography data; Obtaining canyon morphological parameter data according to the deep body line; Based on the canyon morphological parameter data, an improved hydrodynamic model is constructed, and hydrodynamic parameter data are obtained; And integrating the canyon morphological parameter data and the hydraulic parameter data to realize the reconstruction of the turbidity current event and the deposition dynamics interpretation of the target canyon.
2. The method of automatic pattern recognition and hydrodynamic analysis of canyons based on seafloor topography data of claim 1, wherein the obtaining a body line from the seafloor topography data comprises: identifying canyon points based on the change of the depth and the gradient of the topography according to the submarine topography data to obtain a set of points; fitting to obtain the body line based on the body point set.
3. The method for automatic recognition and hydrodynamic analysis of canyon morphology based on seafloor topography data according to claim 2, wherein the obtaining canyon morphology parameter data from the deep body line comprises: generating vertical cross sections at fixed intervals along the deep body line; For each vertical cross section, identifying boundary points of two wings of the canyon by adopting a gradient analysis method, and calculating canyon morphological parameter data of each vertical cross section by combining a deep body point set, wherein the canyon morphological parameter data comprises any one of or any combination of width, depth, aspect ratio and curvature; and synthesizing the canyon morphological parameter data of all the vertical cross sections to obtain canyon morphological parameter sequence data continuously changing along the body line.
4. The method of claim 3, wherein the width is defined as a horizontal distance between boundary points of two wings of the canyon, the depth is defined as a height difference between a deep body point and a boundary point on a higher side of the boundary points of the two wings of the canyon, the width-to-depth ratio is defined as a ratio of the width to the depth, and the curvature is defined as a ratio of an actual length of a deep line of a current paragraph to a straight line distance of an end point.
5. The method of automatic pattern recognition and hydrodynamic analysis of canyons based on seafloor topography data of claim 3, wherein the hydrodynamic parameter data comprises any one or any combination of turbidity current flow rate, bed shear stress, sand transport flux; wherein, the expression of the improved hydrodynamic model is: , In the formula, For a turbidity current flow rate, For the purpose of converting the density coefficient of the deposit, The acceleration of the gravity is that, Is the depth-average volume concentration of the turbidity current, In order for the fluid to be of a thickness, Is the tangent value of the canyon gradient theta, Is the friction coefficient at the interface of the turbidity current and the seawater, Is the friction coefficient of turbidity current and the bottom bed.
6. The method of automatic pattern recognition and hydrodynamic analysis of canyons based on seafloor topography data of claim 5, wherein the expression of bed shear stress is: , In the formula, Is the shear stress of the bottom bed, Is the density of the seawater, and the seawater is the density of the seawater, For the purpose of converting the density coefficient of the deposit, The acceleration of the gravity is that, Is the depth-average volume concentration of the turbidity current, In order for the fluid to be of a thickness, Is the tangent of the canyon slope.
7. The method of automatic pattern recognition and hydrodynamic analysis of canyons based on seafloor topography data of claim 5, wherein the expression of the sand transport flux is: , In the formula, For the purpose of transporting the sand flux, Is the depth-average volume concentration of the turbidity current, In order for the fluid to be of a thickness, For a turbidity current flow rate, Is the horizontal distance between the boundary points of the two wings of the canyon.
8. An automatic isthmus morphology recognition and hydrodynamic analysis system based on seafloor topography data, comprising: the data acquisition module is used for acquiring submarine topography data of the target canyon; the fitting module is used for obtaining a deep body line according to the submarine topography data; The first calculation module is used for obtaining canyon morphological parameter data according to the deep body lines; the second calculation module is used for constructing an improved hydrodynamic model based on the canyon morphological parameter data and obtaining hydrodynamic parameter data; The analysis module is used for integrating the canyon morphological parameter data and the hydraulic parameter data and realizing the reconstruction of the turbidity current event and the deposition dynamics interpretation of the target canyon.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for automatic recognition and hydrodynamic analysis of canyon morphology based on seafloor topography data as claimed in any one of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the method of seafloor topography data based isthmus morphology automatic identification and hydrodynamic analysis of any one of claims 1 to 7.

Description

Automatic canyon morphology recognition and hydrodynamic analysis method based on submarine topography data Technical Field The invention relates to the technical field of research of a sedimentary reservoir, in particular to an automatic pattern recognition and hydrodynamic analysis method for canyons based on submarine topography data. Background The seafloor canyon is used as an important material and energy delivery channel in deep water deposition systems, and its morphological features are of great importance for understanding global carbon circulation, ecosystem succession and hydrocarbon reservoir distribution. The traditional canyon morphological analysis method is based on commercial seismic data interpretation software (such as Petrel, landmark and the like) and GIS software (such as ArcGIS, global Mapper and the like), mainly relies on manual interpretation and manual measurement, and has the following problems: 1) The recognition extraction efficiency is low, and the method is difficult to apply to the general survey of a large area. Because of the need for researchers to manually lay out and measure each analysis profile, the time consuming effort increases dramatically as the area of investigation increases. When a wide research area such as a large Liu Po area is treated, the method needs to be put into huge manpower and time cost, has poor expandability, and severely restricts the feasibility of systematic and large-scale general investigation on the submarine canyon. 2) The identification result has strong subjectivity, and the consistency and the repeatability are difficult to ensure. The prior proposal from the interpretation of canyons to the selection of section positions and to the measurement of parameters, each link is strongly dependent on personal experience and subjective judgment of operators. Different operators, and even the same operator at different times, may have significant differences in the identified boundaries and parameter measurements for the same canyon. This directly results in a lack of objective and uniform standard of research results, and poor comparability and reproducibility of verification between different studies. 3) Insufficient coverage is identified, and atypical or small landform units are easily missed. Manual methods typically focus on measuring large canyons of known, significant morphology, and lack a mechanism to scan indiscriminately the entire investigation region. Therefore, canyons with atypical morphology, small size or not yet documented are very easy to miss, so that the statistical result based on the method has deviation, and the overall view of the submarine canyons in the research area cannot be completely and truly reflected. 4) The available morphological parameters are limited and it is difficult to support depth profile analysis. Manual methods are limited in their manner of operation and typically only obtain limited two-dimensional profile parameters (e.g., wide, deep). For the three-dimensional morphological characteristics of the canyon, such as the slope of the valley wall, the volume of the canyon, the surface area, the automatic tracking of the flow path, the accurate calculation of the curvature and other more complex parameters, the effective and accurate batch extraction is difficult to be carried out manually, and the deep analysis of the morphological characteristics and the evolution process of the canyon is limited. The root cause of the above defect is that the core flow of the existing method relies on manual operation rather than standardized automated algorithms based on physiognomic features. The present invention aims to provide a more efficient, objective and comprehensive solution to these drawbacks. Disclosure of Invention The invention provides an automatic pattern recognition and hydrodynamic analysis method for canyons based on submarine topography data, which is used for solving the defects of the prior art. The invention provides a method for automatically identifying the morphology of a canyon and analyzing hydrodynamic force based on submarine topography data, which comprises the following steps: acquiring submarine topography data of a target canyon; obtaining a deep body line according to the submarine topography data; Obtaining canyon morphological parameter data according to the deep body line; Based on the canyon morphological parameter data, an improved hydrodynamic model is constructed, and hydrodynamic parameter data are obtained; And integrating the canyon morphological parameter data and the hydraulic parameter data to realize the reconstruction of the turbidity current event and the deposition dynamics interpretation of the target canyon. According to the method for automatically identifying the pattern of the canyon and analyzing the hydrodynamic force based on the submarine topography data, which is provided by the invention, a deep body line is obtained according to the submarine topograp