Pre-drilling engineering carbon loss and water and soil loss decision-making method and device

Abstract

The invention relates to the technical field of petroleum drilling and production measurement, in particular to a pre-drilling engineering carbon loss and water and soil loss decision-making method and device, and the method comprises the steps: obtaining natural data and man-made disturbance data of a target region; constructing a soil loss model according to the natural data and the man-made disturbance data; and making a water and soil loss prevention decision based on the soil loss model. According to the method provided by the invention, water and soil conservation intelligent management requirements are combined, and based on drainage basin underlying surface vegetation related data, slope topography, water system and other geographic space data, rainfall, air temperature and other monitoring data, satellite, unmanned aerial vehicle remote sensing and other high-resolution image data, well drilling and surrounding water and soil conservation measure data; and a water and soil loss comprehensive treatment intelligent management digital scene capable of reflecting the current situation of water and soil loss and water and soil conservation measures is constructed according to artificial disturbance data such as the project position and the disturbance range, so that optimization management of a pre-drilling project water and soil conservation scheme is facilitated.

Description

Technical Field

[0001] This application relates to the technical field of oil drilling and production measurement, and particularly relates to a decision-making method and device for carbon loss and soil and water loss in pre-drilling engineering. Background Art

[0002] Pre-drilling engineering refers to all the preparatory work carried out to provide necessary conditions for the drilling of oil and gas wells. The land used for pre-drilling engineering mainly includes permanent land and temporary land. After occupying the land, projects such as site vegetation removal, topsoil stripping, and earthwork engineering are mainly carried out. During the process of vegetation removal and topsoil stripping, carbon loss will occur. The carbon loss caused by permanent land occupation cannot be compensated, while the carbon loss of temporary land occupation can be partially restored by covering the soil and re-cultivating after well completion. The carbon loss mainly consists of vegetation carbon sequestration loss and soil carbon sequestration loss, which is a quantity related to time, space, and geographical conditions. Currently, there is no calculation method for carbon loss provided in the industry. Therefore, it is necessary to construct a digital decision-making platform for soil and water conservation in pre-drilling engineering to facilitate the optimization management of soil and water conservation plans for pre-drilling engineering. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems in the above technologies to this extent, and for this purpose, a decision-making method for carbon loss and soil and water loss in pre-drilling engineering is proposed, including:

[0004] Obtaining natural data and human disturbance data of the target area;

[0005] Constructing a soil and water loss model based on the natural data and human disturbance data;

[0006] Making decisions on soil and water loss prevention and control based on the soil and water loss model.

[0007] Preferably, the natural data includes: geospatial data, meteorological monitoring data, satellite and / or unmanned aerial vehicle remote sensing high-resolution image data, drilling data, and soil and water conservation measure data around the drilling; the human disturbance data includes: project location and / or disturbance range data.

[0008] Preferably, the soil and water loss model includes: calculation formulas for soil loss of disturbed ground with vegetation destruction, calculation formulas for soil loss of excavation surface without upstream water, calculation formulas for soil loss of excavation surface with upstream water, and calculation formulas for soil loss of accumulation body of engineering without upstream water.

[0009] Preferably, the calculation formula for soil loss of disturbed ground with vegetation destruction includes:

[0010] M yz = RKL y S y BETA

[0011] Among them, M yz represents the soil loss amount of the vegetation-damaged disturbed land calculation unit; R represents the rainfall erosion force factor; K represents the soil erodibility factor; L y represents the slope length factor; S y represents the slope gradient factor; B represents the vegetation coverage factor; E represents the engineering measure factor; T represents the tillage measure factor; A represents the horizontal projected area of the calculation unit.

[0012] Preferably, the formula for calculating the soil loss amount of the engineering excavation surface without upstream water inflow includes:

[0013] M kw =RG kw L kw S kw A

[0014] Among them, M kw represents the soil loss amount of the engineering excavation surface calculation unit without upstream water inflow; G kw represents the soil texture factor of the engineering excavation surface without upstream water inflow; L kw represents the slope length factor of the engineering excavation surface without upstream water inflow; S kw represents the slope gradient factor of the engineering excavation surface without upstream water inflow.

[0015] Preferably, the formula for calculating the soil loss amount of the engineering excavation surface with upstream water inflow includes:

[0016] M ky =F ky G ky L ky S ky A + M kw

[0017] Among them, M ky represents the soil loss amount of the engineering excavation surface calculation unit with upstream water inflow; F ky represents the runoff scouring force factor of the engineering excavation surface with upstream water inflow; G ky represents the soil texture factor of the engineering excavation surface with upstream water inflow; L ky represents the slope length factor of the engineering excavation surface with upstream water inflow; S ky represents the slope gradient factor of the engineering excavation surface with upstream water inflow.

[0018] Preferably, the formula for calculating the soil loss amount of the engineering accumulation body without upstream water inflow includes:

[0019] M dw =XRG dw L dw S dw A

[0020] Among them, M dwIt represents the soil loss amount of the calculation unit of the engineering accumulation body without upstream water inflow; X represents the rainfall form factor of the engineering accumulation body; R represents the rainfall erosivity factor; G dw It represents the soil and rock factor of the engineering accumulation body without upstream water inflow; Ldw represents the slope length factor of the engineering accumulation body without upstream water inflow; S dw It represents the slope gradient factor of the engineering accumulation body without upstream water inflow; A represents the horizontal projection area of the calculation unit.

[0021] Preferably, the soil loss model further includes: a calculation formula for predicting soil loss amount based on an empirical formula; wherein, the calculation formula for predicting soil loss amount includes:

[0022]

[0023] Wherein, W represents the calculated soil loss amount of the predicted soil loss amount;; j represents the prediction period; i represents the prediction unit; F ji It represents the area of the j-th prediction time and the i-th prediction unit; M ji It represents the soil erosion modulus of the j-th prediction time and the i-th prediction unit; T jji It represents the prediction period length of the j-th prediction time and the i-th prediction unit.

[0024] This application also proposes a decision-making system for carbon loss and soil and water loss in pre-drilling engineering, including:

[0025] A data acquisition module, which is used to acquire natural data and human disturbance data of the target area;

[0026] A model construction module, which is used to construct a soil loss model according to the natural data and human disturbance data;

[0027] A prevention and control decision-making module, which is used to make decisions on soil and water loss prevention and control based on the soil loss model.

[0028] This application also proposes an electronic device, including a memory and a processor. When a computer program or instruction stored in the memory is executed by the processor, it is at least used to implement the above method.

[0029] Compared with the prior art, the beneficial effects of this application are:

[0030] 1. This application combines the intelligent management requirements of soil and water conservation. Based on data related to vegetation on the underlying surface of the basin, geospatial data such as slope topography and water systems, monitoring data such as precipitation and temperature, high-resolution image data from satellite and drone remote sensing, data on soil and water conservation measures around wells and their surroundings, and human disturbance data such as project location and disturbance range, it uses technologies such as intelligent interpretation of multi-source remote sensing images, big data management and analysis at multi-dimensional and multi-temporal scales to conduct a digital mapping of the entire-element basin, forming a digital scenario for soil and water conservation that can achieve dynamic, timely interaction and update of basic soil and water conservation data, a digital scenario for predicting and warning the dynamic changes of soil erosion and the status of soil erosion under special conditions, a digital scenario that can support soil and water conservation supervision and early warning of human-induced soil erosion risks, a digital scenario for intelligent management of comprehensive soil and water loss control that can reflect the current situation of soil erosion and soil and water conservation measures, and a digital scenario for flood control safety of check dams that can reflect the hazards in the areas involved and affected by check dams. This is to facilitate the optimized management of the soil and water conservation plan for pre-drilling projects.

[0031] 2. The vegetation-related data, geospatial data such as slope topography and water systems in this application can be obtained through the combination of infrared remote sensing, satellite remote sensing and drone remote sensing. Meteorological data and geospatial data are obtained through online queries and local queries + means to build a soil and water conservation monitoring and perception network with full coverage of "sky-air-ground", realizing intelligent positioning, identification, supervision and management of soil and water conservation, and uploading them to the system database through the communication network to achieve the collection of real-time soil and water conservation data. Using high-resolution remote sensing images to conduct comprehensive supervision of production and construction projects, timely grasping the compliance of disturbances and the implementation of soil and water conservation measures, etc., to achieve "full coverage" supervision of projects; using drones to conduct inspections of areas where soil erosion disasters may occur in production and construction projects at irregular times to achieve "high-frequency" supervision; through the arrangement of fixed-point monitoring equipment on-site to achieve "real-time" supervision of the project construction process; during on-site supervision, mobile information collection equipment can be used to upload images and location information of areas with soil erosion problems to the system at the fastest speed to achieve "dynamic" supervision.

[0032] Other features and advantages of this application will be described in the subsequent specification, and part of them will become obvious from the specification, or be understood by implementing this application. The objectives and other advantages of this application can be achieved and obtained through the structures specifically pointed out in the written specification and the drawings.

[0033] The technical solutions of this application will be further described in detail below through the drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings are used to provide a further understanding of this application, and constitute a part of the specification. They are used together with the embodiments of this application to explain this application, and do not constitute a limitation to this application. In the drawings:

[0035] Figure 1 Schematic diagram of the pre-drilling engineering carbon loss and soil erosion decision-making method given in this application;

[0036] Figure 2 Schematic diagram of the pre-drilling engineering carbon loss and soil erosion decision-making method given in the embodiment;

[0037] Figure 3 Schematic diagram of the pre-drilling engineering carbon loss and soil erosion decision-making system given in this application;

[0038] Figure 4 Schematic diagram of the pre-drilling engineering carbon loss and soil erosion decision-making system given in the embodiment;

[0039] Figure 5 Flow chart of the pre-drilling engineering carbon loss and soil erosion decision-making system given in the embodiment;

[0040] Figure 6 Schematic diagram of the electronic device given in the embodiment;

[0041] Figure 7 Schematic diagram of the computer-readable storage medium given in the embodiment. Detailed implementation manners

[0042] The following describes this application in conjunction with the accompanying drawings. The preferred embodiments described herein are only used to illustrate and explain this application, and are not used to limit this application.

[0043] Figure 1 The pre-drilling engineering carbon loss and soil erosion decision-making method given in this application includes:

[0044] S11. Obtain the natural data and human disturbance data of the target area;

[0045] S12. Construct a soil erosion model according to the natural data and human disturbance data;

[0046] S13. Make decisions on soil erosion prevention and control based on the soil erosion model.

[0047] According to some embodiments of the present application, the data collected in step S11 includes: geospatial data based on the basin, meteorological monitoring data, satellite and / or unmanned aerial vehicle (UAV) remote sensing high-resolution image data, data on soil and water conservation measures around wells and their surrounding areas, and anthropogenic disturbance data. In some embodiments of the present application, multi-source remote sensing image intelligent interpretation, multi-dimensional and multi-temporal scale big data management and analysis methods are used to perform a full-element basin digital mapping to form a soil and water conservation digital scenario that can realize dynamic and timely interactive update of basic soil and water conservation data, a digital scenario for predicting and warning the dynamic changes of soil and water loss and the soil and water loss situation under special conditions, a digital scenario that can support soil and water conservation supervision and anthropogenic soil and water loss risk warning, a digital scenario for intelligent management of comprehensive soil and water loss control that can reflect the current situation of soil and water loss and soil and water conservation measures, and a digital scenario for flood control safety of check dams that can reflect the hazards in the areas involved and affected by check dams.

[0048] According to some embodiments of the present application, the geospatial data collected is obtained through infrared remote sensing and / or satellite remote sensing combined with UAV remote sensing; the geospatial data includes data related to the underlying surface vegetation of the basin, slope terrain data, and water system data. The meteorological monitoring data includes precipitation and / or temperature, and the disturbance data includes the project location and / or the disturbance range.

[0049] According to some embodiments of the present application, the underlying data of the soil and water conservation digital scenario, the digital scenario for predicting and warning the soil and water loss situation, the digital scenario for soil and water loss risk warning, the digital scenario for intelligent management of comprehensive soil and water loss control, and the digital scenario for flood control safety of check dams are the same. The underlying data includes graphic data, image data, monitoring data, survey data, research data, analysis data, water resource data, and document data.

[0050] Among them, the graphic data includes graphics of different scales, different regions and river basins; there are both original various maps and various special achievements of planning and design. The image data includes remote sensing images of different resolutions, different scales and different regions, both original and various interpreted thematic maps and precisely corrected achievements. The monitoring data includes hydrology, meteorology, soil, geology, vegetation, slope, gully density, digital elevation model, soil erosion, human damage, land use, soil and water conservation treatment measures, monitoring stations, monitoring means and ecological environment conditions in any one or more combinations by sub-river basin (tributary), sub-type area and sub-administrative region. The survey data includes any one or more combinations of social population, labor force, benefits, inputs, governance and construction projects. The research data includes soil and water conservation research technologies, methods, achievements, applications, effects and problems. The analysis data includes query systems, soil erosion changes, benefit status, announcement data and prediction and forecasting situations. The water resources data includes the total water resources volume of tributaries at all levels, the current situation of water intake and use and water quality. The document data includes any one or more combinations of soil and water conservation and related laws, policies, regulations, technical specifications, leadership speeches, exchanges and trainings, planning and design reports, World Bank project management, work summaries, major event records, plans and personnel, relevant reference books, archival materials. The document data also includes any one or more combinations of the latest developments in international and domestic soil and water conservation related to soil and water conservation, water affairs cases, resource situations, communication and transportation situations and hot and key issues.

[0051] Using high-resolution remote sensing images to conduct comprehensive supervision of production and construction projects, timely grasping the compliance of disturbances and the implementation of soil and water conservation measures, and realizing full-coverage supervision of projects; conducting inspections on areas where soil and water loss disasters may occur in production and construction projects by drones at irregular times to achieve high-frequency supervision; realizing real-time supervision of the project construction process by arranging fixed-point monitoring equipment on-site; during on-site supervision, uploading images and location information of areas with soil and water loss problems to the system through mobile information collection equipment to achieve dynamic supervision.

[0052] According to some embodiments of the present application, the soil loss model constructed in step S1 includes: a calculation formula for the soil loss amount of the disturbed ground of the vegetation destruction type, a calculation formula for the soil loss amount of the engineering excavation surface without upstream water, a calculation formula for the soil loss amount of the engineering excavation surface with upstream water, and a calculation formula for the soil loss amount of the engineering accumulation body without upstream water.

[0053] According to some embodiments of the present application, the calculation formula for the soil loss amount of the disturbed ground of the vegetation destruction type includes:

[0054] M yz =RKL y S y BETA

[0055] Wherein, Myz Indicates the soil loss amount of the general disturbed ground calculation unit of vegetation destruction type, t; R indicates the rainfall erosion force factor, MJ·mm / (hm 2 ·h); K indicates the soil erodibility factor, t·hm 2 ·h / (hm 2 ·MJ·mm); L y Indicates the slope length factor, dimensionless; S y Indicates the slope gradient factor, dimensionless; B indicates the vegetation coverage factor, dimensionless; E indicates the engineering measure factor, dimensionless; T indicates the tillage measure factor, dimensionless; A indicates the horizontal projected area of the calculation unit, hm 2 ;

[0056] According to some embodiments of the present application, the soil loss amount calculation formula for the engineering excavation surface without upstream water inflow includes:

[0057] M kw =RG kw L kw S kw A

[0058] Among them, M kw Indicates the soil loss amount of the engineering excavation surface calculation unit without upstream water inflow, t; G kw Indicates the soil texture factor of the engineering excavation surface without upstream water inflow, t·hm 2 ·h / (hm 2 ·MJ·mm); L kw Indicates the slope length factor of the engineering excavation surface without upstream water inflow, dimensionless; S kw Indicates the slope gradient factor of the engineering excavation surface without upstream water inflow, dimensionless;

[0059] According to some embodiments of the present application, the soil loss amount calculation formula for the engineering excavation surface with upstream water inflow includes:

[0060] M ky =F ky G ky L ky S ky A+M kw

[0061] Among them, M ky Indicates the soil loss amount of the engineering excavation surface calculation unit with upstream water inflow, t; F ky Indicates the runoff scouring force factor of the engineering excavation surface with upstream water inflow, MJ·mm; G ky Indicates the soil texture factor of the engineering excavation surface with upstream water inflow, t·hm 2 ·h / (hm 2 ·MJ·mm); L ky Indicates the slope length factor of the engineering excavation surface with upstream water inflow, dimensionless; Sky It represents the slope factor of the excavation surface of the upstream water source project, dimensionless;

[0062] According to some embodiments of the present application, the calculation formula for the soil loss of the accumulation body without upstream water source project includes:

[0063] M dw =XRG dw L dw S dw A

[0064] Wherein, Mdw represents the soil loss of the calculation unit of the accumulation body without upstream water source project, t; X represents the rainfall form factor of the engineering accumulation body, dimensionless; R represents the rainfall erosivity factor, MJ·mm / (hm 2 ·h); Gdw represents the soil and rock factor of the accumulation body without upstream water source project, t·hm 2 ·h(hm 2 ·MJ·mm); Ldw represents the slope length factor of the accumulation body without upstream water source project, dimensionless; Sdw represents the slope factor of the accumulation body without upstream water source project, dimensionless; A represents the horizontal projected area of the calculation unit, hm 2 ;

[0065] According to some embodiments of the present application, the soil loss model further includes: a calculation formula for predicting soil loss based on an empirical formula;

[0066] Among them, the calculation formula for predicting soil loss includes:

[0067]

[0068] Among them, W represents the soil loss, t; J represents the prediction period, j = 1, 2, which refers to two periods of the construction period (including the construction preparation period) and the natural recovery period; i represents the prediction unit, i = 1, 2, 3,..., n - 1, n; F ji represents the area of the jth prediction time and the ith prediction unit, km 2 ; M ji represents the soil erosion modulus of the jth prediction time and the ith prediction unit, t / (km 2 ·a); T ji represents the prediction period length of the jth prediction time and the ith prediction unit, a.

[0069] Figure 2A digital decision-making method for soil and water conservation in pre-drilling engineering provided by an embodiment of the present application. The specific decision-making method is as follows: First, carry out the construction of the data informatization foundation. Use monitoring means such as satellite remote sensing, unmanned aerial vehicles, high-definition videos, and ground robots to obtain relevant basic data, monitoring data, business management data, cross-industry shared data, geospatial data, etc. Extract high-resolution DOM of key areas, conduct digital monitoring of the whole-element basin in pre-drilling engineering, apply remote sensing technology in soil and water conservation in pre-drilling engineering, conduct remote sensing monitoring and evaluation of soil erosion, remote sensing monitoring and analysis of soil and water conservation measures, remote sensing monitoring and analysis of pre-drilling engineering projects, remote sensing investigation of major soil and water loss disasters, etc.

[0070] The working principle and beneficial effects of the above technical solutions: Based on the geospatial data of the basin, meteorological monitoring data, satellite and / or unmanned aerial vehicle remote sensing high-resolution image data, data of soil and water conservation measures around the well and its periphery, and human disturbance data, use multi-source remote sensing image intelligent interpretation, multi-dimensional and multi-temporal scale big data management and analysis methods to conduct digital mapping of the whole-element basin, form a digital scene of soil and water conservation that can realize dynamic, timely interaction and update of basic soil and water conservation data, a digital scene that can comprehensively reflect the dynamic changes of soil and water loss and predict and warn the digital scene of soil and water loss under special conditions, a digital scene that can support soil and water conservation supervision and early warning of human-induced soil and water loss risks, a digital scene of intelligent management of comprehensive soil and water loss control that can reflect the current situation of soil and water loss and soil and water conservation measures, and a digital scene of safe flood control of check dams that can reflect the hazards in the areas involved and affected by check dams.

[0071] On Figure 2 Based on the embodiment given, another embodiment of the present application uses high-resolution remote sensing images to conduct comprehensive supervision of production and construction projects, timely master the compliance of disturbances and the implementation of soil and water conservation measures, and achieve full coverage supervision of projects; conduct inspections of areas where soil and water loss disasters may occur in production and construction projects by unmanned aerial vehicles at irregular times to achieve high-frequency supervision; achieve real-time supervision of the project construction process by arranging fixed-point monitoring equipment on-site; during on-site supervision, upload images and location information of areas with soil and water loss problems to the system through mobile information collection equipment to achieve dynamic supervision.

[0072] Based on the same inventive concept, as Figure 3 shown, the present application also provides a decision-making system for carbon loss and soil and water loss in pre-drilling engineering, including: a data acquisition module 301 for acquiring natural data and human disturbance data of the target area; a model construction module 302 for constructing a soil loss model according to the natural data and human disturbance data; and a prevention and control decision module 303 for making decisions on soil and water loss prevention and control based on the soil loss model.

[0073] Figure 4The digital decision-making system for soil and water conservation in pre-drilling engineering given in the embodiment Figure 5 Figure 5 is the operation flowchart of the digital decision-making system for soil and water conservation in pre-drilling engineering. The system includes a big data collection module, a data floor module, a model establishment module, a big data platform module, a scenario simulation module, a business application module, a key management module, and a guarantee system module;

[0074] Among them, the big data collection module is used to collect the geographical spatial data, meteorological monitoring data of the basin, satellite and / or UAV remote sensing high-resolution image data, the data of soil and water conservation measures in and around the drilling wells, and the human disturbance data; the data floor module is used to carry out data governance, intelligent data interpretation and processing, multi-dimensional multi-temporal and spatial scale data management and analysis on the data collected by the big data collection module; and provide data services for other modules; the model establishment module is used to establish relevant data models according to the data services of the data floor module, and manage the relevant data models; the big data platform module is used to build a soil and water conservation perception network, a soil and water conservation information network, and a soil and water conservation cloud platform based on the data services of the data floor module; the scenario simulation module is used for the digital mapping of the whole-element basin, forming a digital scenario of soil and water conservation that can realize the dynamic and timely interaction and update of basic soil and water conservation data, a digital scenario that can comprehensively reflect the dynamic changes of soil erosion and the forecast and early warning of soil erosion conditions under special conditions, a digital scenario that can support soil and water conservation supervision and the early warning of human-induced soil erosion risks, a digital scenario of intelligent management of comprehensive soil and water conservation that can reflect the current situation of soil erosion and soil and water conservation measures, and a digital scenario of flood control safety of check dams that can reflect the hazards in the areas involved and affected by check dams; the key management module is used to manage rivers, lakes, key prevention and control areas, and affected areas; the business application module is used to carry out soil erosion forecast and early warning and soil and water conservation management; the guarantee system module is used to manage guarantee measures.

[0075] As Figure 6 shown, this application provides an electronic device 1000. The electronic device 1000 includes a memory 1002 and a processor 1001. A computer program or instruction is stored in the memory 1002. When the computer program or instruction is executed by the processor 1001, it is at least used to implement the above method. As Figure 7 shown, this application provides a computer-readable storage medium 1100. A computer program or instruction is stored in the computer-readable storage medium 1100. When the computer program or instruction is executed by the processor, it is at least used to implement the above method.

[0076] The working principle and beneficial effects of the above technical solutions:

[0077] 1. This application combines the needs of intelligent management of soil and water conservation. Based on data related to the underlying surface vegetation of the basin, geographical spatial data such as slope topography and water systems, monitoring data such as precipitation and temperature, high-resolution image data such as satellite and drone remote sensing, soil and water conservation measure data around drilling wells, and human disturbance data such as project location and disturbance range, it uses technologies such as intelligent interpretation of multi-source remote sensing images, multi-dimensional and multi-temporal scale big data management and analysis to conduct a digital mapping of the entire-element basin, forming a digital scene of soil and water conservation that can realize dynamic, timely interaction and update of basic soil and water conservation data, a digital scene that can comprehensively reflect the dynamic changes of soil erosion and predict and warn the soil erosion status under special conditions, a digital scene that can support soil and water conservation supervision and early warning of human-induced soil erosion risks, an intelligent management digital scene of comprehensive soil and water loss control that can reflect the current situation of soil erosion and soil and water conservation measures, and a digital scene of safe flood control of check dams that can reflect the hazards in the areas involved and affected by check dams. This is to facilitate the optimization management of the soil and water conservation plan for pre-drilling projects.

[0078] 2. The vegetation-related data, geographical spatial data such as slope topography and water systems in this application can be obtained through the combination of infrared remote sensing and satellite remote sensing with drone remote sensing. Meteorological data and geographical spatial data are obtained through online queries and local queries, etc., to build a soil and water conservation monitoring and perception network covering the entire "sky-air-ground" area, realizing intelligent positioning, identification, supervision and management of soil and water conservation, and uploading them to the system database through the communication network to achieve the collection of real-time soil and water conservation data. Using high-resolution remote sensing images to conduct comprehensive supervision of production and construction projects, timely grasping the compliance of disturbances, the implementation of soil and water conservation measures, etc., to achieve "full coverage" supervision of projects; using drones to conduct inspections of areas where soil erosion disasters may occur in production and construction projects at irregular times to achieve "high-frequency" supervision; through the installation of fixed monitoring equipment on-site to achieve "real-time" supervision of the project construction process; during on-site supervision, mobile information collection equipment can be used to upload images and location information of soil erosion problems to the system at the fastest speed to achieve "dynamic" supervision.

[0079] 3. The data base module of this application provides underlying data support for the entire decision-making platform by integrating the underlying data of the decision-making platform. Data governance includes master data management, metadata management, data standard management, data quality management, data integration management, data asset management, data security management, data exchange management, and data lifecycle management. Data services actually implement data collection services, data transmission services, data storage services, data processing services, etc., which are all common data service capabilities. The application of remote sensing technology in the soil and water conservation information center is mainly the extraction of river, lake and reservoir information, water conservancy project information, production and construction project information, and irrigation area information, including: ① Graphic data: graphics of different scales, different regions and watersheds have various original maps, as well as various thematic results of planning and design. ② Image data: Remote sensing images of different resolutions, different scales, and different regions, both original and various interpretation thematic maps and precise correction results. ③ Monitoring data: hydrology, meteorology, soil, geology, vegetation, slope, gully density, digital elevation model, soil erosion, human damage, land use, soil and water conservation measures, monitoring stations, monitoring methods, ecological environment conditions, etc. by watershed (tributary), type area, and administrative region.

[0080] 4. In the model management module of this application, the soil loss model is the core of smart soil and water conservation. It has the functions of generating a dynamic link data base, calling cloud platform computing resources, and forming knowledge platform business rules. It plays an important role in simulating and deducing the interactive process of the soil and water conservation impact area, and is the driving force for integrating various key technologies. Understand the soil loss that may be caused during the construction of the project site. With the high-standard construction of smart soil and water conservation, the research and development of erosion models will be greatly improved in terms of data and computing power. How to use the advantages of existing technologies to coordinate the establishment of a distributed soil erosion model that takes into account point boundary conditions and surface boundary conditions and can respond quickly to extreme rainstorms is a more effective means to predict water and sand trends in the basin around the drilling platform and assess flood disasters in the future.

[0081] 5. Scenario simulation includes: for extreme weather events, building a rainstorm and flood risk forecast and warning model for drilling platforms, a full-process business scenario rehearsal model and a plan optimization combination model, which will effectively improve the drilling platform's ability to safely survive floods, enhance the drilling platform's safety management level during flood seasons, and realize the drilling platform's warning, forecast, rehearsal and plan functions.

[0082] It is obvious that a person skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A decision-making method for carbon loss and soil and water loss in pre-drilling engineering, characterized in that, Including: Obtain the natural data and human disturbance data of the target area; Construct a soil erosion model based on the natural data and human disturbance data; Make decisions on soil and water loss prevention and control based on the soil erosion model.

2. The method according to claim 1, characterized in that, The natural data includes: geospatial data, meteorological monitoring data, satellite and / or unmanned aerial vehicle remote sensing high-resolution image data, drilling data, and soil and water conservation measure data around the drilling. The human disturbance data includes: project location and / or disturbance range data.

3. The method according to claim 1, characterized in that, The soil erosion model includes: calculation formulas for soil loss of disturbed ground surface of vegetation destruction type, calculation formulas for soil loss of excavation surface of engineering without upstream water inflow, calculation formulas for soil loss of excavation surface of engineering with upstream water inflow, and calculation formulas for soil loss of accumulation body of engineering without upstream water inflow.

4. The method according to claim 3, characterized in that, The calculation formula for soil loss of disturbed ground surface of vegetation destruction type includes: M yz = RKL y S y BETA Among them, M yz represents the soil loss amount of the disturbed land calculation unit with vegetation destruction; R represents the rainfall erosion force factor; K represents the soil erodibility factor; L y represents the slope length factor; S y represents the slope gradient factor; B represents the vegetation coverage factor; E represents the engineering measure factor; T represents the tillage measure factor; A represents the horizontal projected area of the calculation unit.

5. The method according to claim 3, characterized in that, The calculation formula for soil loss of excavation surface of engineering without upstream water inflow includes: M kw = RG kw L kw S kw A Among them, M kw represents the soil loss amount of the calculation unit of the excavation surface without upstream incoming water project; G kw represents the soil texture factor of the excavation surface without upstream incoming water project; L kw represents the slope length factor of the excavation surface without upstream incoming water project; S kw represents the slope gradient factor of the excavation surface without upstream incoming water project.

6. The method according to claim 5, characterized in that, The calculation formula for soil loss of excavation surface of engineering with upstream water inflow includes: M ky = F ky G ky L ky S ky A + M kw Among them, M ky represents the soil loss amount of the calculation unit of the excavation surface of the upstream incoming water project; F ky represents the runoff scouring force factor of the excavation surface of the upstream incoming water project; G ky represents the soil quality factor of the excavation surface of the upstream incoming water project; L ky represents the slope length factor of the excavation surface of the upstream incoming water project; S ky represents the slope gradient factor of the excavation surface of the upstream incoming water project.

7. The method according to claim 3, characterized in that, The calculation formula for soil loss of accumulation body of engineering without upstream water inflow includes: M dw = XRG dw L dw S dw A Among them, M dw represents the soil loss amount of the calculation unit of the engineering accumulation body without upstream water inflow; X represents the rainfall form factor of the engineering accumulation body; R represents the rainfall erosion force factor; G dw represents the soil and rock factor of the engineering accumulation body without upstream water inflow; Ldw represents the slope length factor of the engineering accumulation body without upstream water inflow; S dw represents the slope gradient factor of the engineering accumulation body without upstream water inflow; A represents the horizontal projection area of the calculation unit.

8. The method according to claim 3, characterized in that, The soil erosion model further includes: a calculation formula for predicting soil loss based on an empirical formula; wherein, the calculation formula for predicting soil loss includes: Among them, W represents the calculated soil loss amount of the predicted soil loss amount; j represents the prediction period; i represents the prediction unit; F ji represents the area of the j-th prediction time and the i-th prediction unit; M ji represents the soil erosion modulus of the j-th prediction time and the i-th prediction unit; T jji represents the prediction period length of the j-th prediction time and the i-th prediction unit.

9. A decision-making system for carbon loss and soil and water loss in pre-drilling engineering, characterized in that, Including: A data acquisition module for obtaining the natural data and human disturbance data of the target area; A model construction module for constructing a soil erosion model based on the natural data and human disturbance data; A prevention and control decision module for making decisions on soil and water loss prevention and control based on the soil erosion model.

10. An electronic device, including a memory and a processor, characterized in that, The memory stores a computer program or instruction, and when the computer program or instruction is executed by the processor, it is at least used to implement the method according to any one of claims 1-8.

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