Petroleum heavy non-aqueous phase liquid pollution distribution depicting method and application thereof

Abstract

The invention relates to a petroleum heavy non-aqueous phase liquid pollution distribution description method and application thereof, and belongs to the technical field of pollution investigation, and the method comprises the following steps: obtaining basic information of a target pollution place, determining a geophysical detection technology, obtaining a plurality of signal values through field detection, and determining an abnormal area; performing invasive laser-induced fluorescence technology detection according to the point distribution scheme to obtain soil conductivity and fluorescence data information; the petroleum DNAPLs pollution area is determined by using an interpolation analysis method, and the pollution area and the source are further determined by drilling sampling and monomer stable isotope analysis technologies. According to the method, a non-invasive geophysical method and an invasive semi-quantitative technology are fused, optimization prediction is carried out through a calculation model, the investigation period is remarkably shortened in the whole process, the sampling detection cost is reduced, petroleum DNAPLs pollution distribution can be accurately and efficiently described, and the precision and reliability of environmental pollution monitoring are improved.

Description

Technical Field

[0001] The invention relates to the technical field of pollution investigation, and in particular to a method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquids and its application. Background Art

[0002] The pollution problem of heavy non-aqueous phase liquids (DNAPLs) has always been an important challenge in the field of environmental protection in the petroleum industry. DNAPLs are composed of complex organic compounds, mainly semi-volatile organic compounds containing benzene rings, with high viscosity and obvious fluorescence characteristics. They can easily penetrate into the groundwater environment, migrate downward under the action of gravity and form pollution pools in the aquifer. These pollution pools not only pose a long-term threat to the groundwater system, but may also cause serious damage to the ecosystem.

[0003] Existing pollution investigation methods mainly include invasive drilling sampling combined with detection and analysis technology. This method can provide accurate stratigraphic profile information, but it is costly, has poor spatial coverage, and may bring the risk of secondary pollution. With the development of science and technology, some non-invasive geophysical technologies have gradually been applied to pollution investigation, such as ground penetrating radar detection technology, electromagnetic wave detection technology, and georesistance imaging profile detection technology. These technologies can provide a large amount of continuous data at a relatively low cost, but their spatial resolution and observation accuracy are usually low, making it difficult to achieve a detailed description of the distribution of DNAPLs.

[0004] Especially for pollutants such as petroleum DNAPLs, which have high viscosity and complex components, existing non-invasive geophysical methods are difficult to accurately identify their distribution range and boundaries. Therefore, there is an urgent need for a technology that can achieve a detailed characterization of DNAPLs pollution distribution in an efficient and low-cost manner. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method for characterizing the distribution of pollution in petroleum-based heavy non-aqueous phase liquids and its application, aiming to solve at least one of the above-mentioned technical problems.

[0006] The technical solution of the present invention to solve the above technical problems is as follows:

[0007] In the first aspect, the present application provides a method for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid, using the following technical solution:

[0008] A method for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid comprises:

[0009] Step S1, obtaining basic information of the target contaminated land, and determining the geophysical detection technology based on the basic information of the target contaminated land, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions and salt concentration;

[0010] Step S2, after conducting on-site detection of the target contaminated land using the geophysical detection technology, a plurality of signal values ​​of the target contaminated land are obtained, and based on each of the signal values, an abnormal area of ​​the target contaminated land is determined, wherein each of the signal values ​​is used to reflect a difference in underground material distribution of the target contaminated land;

[0011] Step S3, according to the pre-designed point layout plan, determining the point information of the abnormal area, the point information includes multiple points and the number corresponding to each point, the multiple points include a central point and a boundary point; after using the invasive laser induced fluorescence technology to carry out invasive detection technology on the multiple points of the abnormal area, obtaining the detection information of the abnormal area, the detection information includes the soil conductivity and fluorescence data information of each point, and the fluorescence data information includes a fluorescence signal image, a visible light image and semi-quantitative data of fluorescent substances;

[0012] Step S4, determining the petroleum DNAPLs contaminated area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method;

[0013] Step S5, determining multiple target points in the petroleum DNAPLs contaminated area, and obtaining drilling sampling detection and analysis results after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and monomer stable isotope analysis technology, determining the target petroleum DNAPLs contaminated area and the source of petroleum DNAPLs in the target petroleum DNAPLs contaminated area, so as to characterize the distribution of petroleum DNAPLs pollution.

[0014] The beneficial effects of the present invention are as follows: first, by obtaining the basic information of the target contaminated land and selecting the appropriate geophysical detection technology, the pertinence and effectiveness of the detection are improved. Secondly, by preprocessing and inverting the signal values ​​obtained by the on-site detection, the abnormal area is determined, and the possibility of misjudgment is reduced. Then, using the pre-designed point arrangement plan, the invasive laser induced fluorescence technology is used to obtain detailed detection information to ensure the accuracy and reliability of the data. Furthermore, based on the interpolation analysis of soil conductivity and fluorescence data information, the contaminated area of ​​petroleum DNAPLs is accurately determined, and the high-resolution pollution distribution characterization is achieved. Finally, by drilling sampling and detection analysis of the selected target points, combined with the monomer stable isotope analysis technology, the accuracy of the contaminated area is verified, and the source of pollution is further clarified, providing a scientific basis for subsequent pollution control. The present invention integrates non-invasive geophysical methods with invasive semi-quantitative technologies, and optimizes and predicts through computational models. The whole process significantly shortens the investigation cycle, reduces the sampling and detection costs, and can quickly and accurately identify and characterize the pollution distribution of petroleum heavy non-aqueous phase liquids (DNAPLs).

[0015] Based on the above technical solution, the present invention can also be improved as follows.

[0016] Further, determining the abnormal area of ​​the target contaminated land based on each of the signal values ​​includes:

[0017] Preprocessing each of the signal values ​​to obtain multiple valid signal values ​​of the target contaminated area;

[0018] Performing inversion interpretation processing on the multiple effective signal values ​​to obtain multiple positive variable area wave train diagrams of the target contaminated area;

[0019] Based on the plurality of the forward variable area wave train diagrams, the set layered information and the layered interpolation processing method, determining the layered interpolation result of the target contaminated land, wherein the layered interpolation result is used to characterize the underground medium distribution of each layer of the target contaminated land;

[0020] Based on the hierarchical interpolation result, determining a three-dimensional output image of the target contaminated site, wherein the three-dimensional output image includes regions of different depths, and the regions of different depths are used to reflect the degree of contamination of the target contaminated site;

[0021] Based on the three-dimensional output image, an abnormal area of ​​the target contaminated land is determined.

[0022] The beneficial effects of adopting the above further scheme are: being able to pre-process each signal value, remove invalid data, and ensure the effectiveness and accuracy of subsequent analysis; generating multiple forward variable area wave train diagrams by inversion interpretation processing of multiple valid signal values, which helps to more accurately reflect the distribution of underground media; determining the layered interpolation results based on multiple forward variable area wave train diagrams, set layered information and layered interpolation processing methods, thereby characterizing the underground medium distribution of each layer of the target contaminated area and improving the accuracy of contaminated area division; the three-dimensional output image generated based on the layered interpolation results can intuitively display contaminated areas of different depths and help accurately identify the scope of contamination; and finally determining the abnormal area based on the three-dimensional output image, thereby improving the accuracy and reliability of pollution distribution characterization.

[0023] Furthermore, it also includes:

[0024] Determine whether there is a reflection abnormal area caused by non-pollution factors in the abnormal area;

[0025] If it exists, the abnormal area is corrected based on the reflection abnormal area to obtain the corrected abnormal area of ​​the target contaminated area.

[0026] The beneficial effect of adopting the above further solution is that it is possible to exclude the reflection abnormal area caused by non-pollution factors in the initially identified abnormal area of ​​the target contaminated area, thereby ensuring that the subsequent intrusive detection is more accurately focused on the real contaminated area.

[0027] Furthermore, the point layout scheme is a scheme of laying out a 4m×4m grid in the abnormal area.

[0028] The beneficial effect of adopting the above further scheme is that this point distribution scheme can not only effectively capture the subtle changes in the abnormal area, but also significantly improve the detection accuracy of the subsequent invasive laser induced fluorescence technology and reduce the risk of missing contamination points. In addition, the uniform grid point distribution also helps the standardized processing and analysis of data, facilitates the subsequent interpolation and layered analysis, and ensures that the final interpolation accuracy is at the meter level.

[0029] Further, the petroleum DNAPLs contaminated area in the abnormal area is determined based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method, including:

[0030] Based on the soil conductivity of each of the points, determining the site stratigraphic information of the abnormal area;

[0031] Based on the fluorescence data information of each of the points, determining the pollution distribution information of the petroleum DNAPLs in the abnormal area;

[0032] Determine the stratification of the abnormal area based on the site stratigraphic information and the pollution distribution information of petroleum DNAPLs;

[0033] Based on the stratification, the set inverse distance weighted interpolation method, and the soil conductivity and fluorescence data information corresponding to each of the points, determine the interpolation result of each layer in the abnormal area;

[0034] Based on the interpolation result of each layer in the abnormal area, the petroleum DNAPLs pollution area in the abnormal area is determined.

[0035] The beneficial effect of adopting the above further scheme is that it can accurately obtain soil conductivity and fluorescence data information in abnormal areas, combine point coordinates and fluorescence signal values ​​for layered interpolation, refine the scope and boundaries of DNAPLs pollution, and achieve accurate characterization of pollution distribution at the meter level. This method uses soil conductivity to obtain site stratigraphic information, obtains concentration distribution information of petroleum DNAPLs based on fluorescence data information, and combines layering and inverse distance weighted interpolation to ensure the accuracy and reliability of the polluted area and improve the accuracy of DNAPLs pollution distribution characterization.

[0036] Furthermore, the multiple target points are determined in the petroleum DNAPLs contaminated area, including:

[0037] Based on the petroleum DNAPLs concentration at each of the points, multiple target points in the petroleum DNAPLs contaminated area are determined.

[0038] The beneficial effect of adopting the above further scheme is that multiple target points can be accurately selected within the petroleum DNAPLs contaminated area to ensure that these points can represent different concentration levels in the contaminated area. This method not only improves the representativeness of the contaminated area, but also enhances the accuracy of subsequent drilling sampling and detection analysis, which helps to more accurately identify the source of petroleum DNAPLs in the contaminated boundaries and contaminated hotspots.

[0039] In a second aspect, the present application provides an application of a method for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid, using the following technical solution:

[0040] Application of a method for characterizing the distribution of petroleum-based heavy non-aqueous liquid pollution in site pollution investigation.

[0041] The beneficial effect of adopting the above further scheme is that compared with the traditional drilling sampling technology, this method can shorten the investigation cycle and reduce the sampling and detection cost. Through the integration of non-invasive geophysical methods and invasive semi-quantitative technology, it can provide high-resolution and high-precision pollution distribution data without destroying the continuity of the low permeability zone, effectively avoiding the risk of secondary pollution. This method is suitable for the investigation of contaminated sites under various complex geological conditions and has broad application prospects.

[0042] In a third aspect, the present application provides a device for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid, which adopts the following technical solution:

[0043] A device for characterizing the distribution of pollution of a petroleum-based heavy non-aqueous phase liquid, comprising:

[0044] An acquisition module, used to acquire basic information of the target contaminated land, and determine the geophysical detection technology based on the basic information of the target contaminated land, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions and salt concentration;

[0045] an abnormal area determination module, which, after conducting on-site detection of the target contaminated land using the geophysical detection technology, obtains a plurality of signal values ​​of the target contaminated land, and determines the abnormal area of ​​the target contaminated land based on each of the signal values, wherein each of the signal values ​​is used to reflect the difference in underground material distribution of the target contaminated land;

[0046] The detection information acquisition module determines the point information of the abnormal area according to the pre-designed point arrangement plan, the point information includes multiple points and the number corresponding to each point, and the point is a central point or a boundary point; after using the invasive laser induced fluorescence technology to carry out invasive detection technology on multiple points in the abnormal area, the detection information of the abnormal area is obtained, the detection information includes soil conductivity and fluorescence data information of each point, and the fluorescence data information includes fluorescence signal pictures, visible light pictures and semi-quantitative data of fluorescent substances;

[0047] A pollution distribution characterization module, which determines the petroleum DNAPLs pollution area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method;

[0048] The verification module determines multiple target points in the petroleum DNAPLs contaminated area, and obtains the results of the drilling sampling detection and analysis after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and the monomer stable isotope analysis technology, the target petroleum DNAPLs contaminated area and the source of the petroleum DNAPLs in the target petroleum DNAPLs contaminated area are determined to achieve the characterization of the distribution of petroleum DNAPLs pollution.

[0049] In a fourth aspect, the present application provides an electronic device, which adopts the following technical solution:

[0050] An electronic device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution as described in any one of the first aspects.

[0051] In a fifth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0052] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution as described in any one of the first aspects.

[0053] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic flow chart of a method for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid provided in one embodiment of the present invention;

[0055] Figure 2 A schematic diagram of a target contaminated area detection trajectory provided by an embodiment of the present invention;

[0056] Figure 3 A schematic diagram of an abnormal area provided by an embodiment of the present invention;

[0057] Figure 4 A schematic diagram of a grid point arrangement provided for an embodiment of the present invention;

[0058] Figure 5 A schematic diagram of invasive laser induced fluorescence detection data provided by an embodiment of the present invention.

[0059] Figure 6 A schematic diagram of a pollution distribution refinement provided by an embodiment of the present invention;

[0060] Figure 7A structural block diagram of a device for characterizing the distribution of pollution of a petroleum-based heavy non-aqueous phase liquid provided by one embodiment of the present invention;

[0061] Figure 8 A structural block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0063] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0064] like Figure 1 As shown, the embodiment of the present application provides a method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution, and the application of the method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution in site pollution investigation. The method mainly includes (steps S1 to S5):

[0065] Step S1, obtaining basic information of the target contaminated land, and determining the geophysical detection technology based on the basic information of the target contaminated land, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions and salt concentration;

[0066] In the embodiment of the present application, site survey and personnel interviews are used to collect the current information of the land, and the current layout includes information such as enterprise layout, geographical location, topography, land use type, etc. Preliminary survey data or environmental assessment data are collected to obtain pollution conditions, hydrogeological conditions and salt concentration.

[0067] The geophysical detection technology is determined based on the basic information of the target contaminated area. For example, areas with high salt content or high ground hardening will affect the measurement results of the resistance method, so it is more suitable to choose ground penetrating radar technology; if there are many underground pipelines and cavities, it will affect the transmission of electromagnetic waves, so electromagnetic wave detection technology can be selected. The purpose of selecting the appropriate technology is to ensure the accuracy and reliability of the detection results.

[0068] Step S2, after conducting on-site detection of the target contaminated land using the geophysical detection technology, a plurality of signal values ​​of the target contaminated land are obtained, and based on each of the signal values, an abnormal area of ​​the target contaminated land is determined, wherein each of the signal values ​​is used to reflect a difference in underground material distribution of the target contaminated land;

[0069] In the embodiment of the present application, determining the abnormal area of ​​the target contaminated land based on each of the signal values ​​includes:

[0070] Preprocessing each of the signal values ​​to obtain multiple valid signal values ​​of the target contaminated area;

[0071] Performing inversion interpretation processing on the multiple effective signal values ​​to obtain multiple positive variable area wave train diagrams of the target contaminated area;

[0072] Based on the plurality of the forward variable area wave train diagrams, the set layered information and the layered interpolation processing method, determining the layered interpolation result of the target contaminated land, wherein the layered interpolation result is used to characterize the underground medium distribution of each layer of the target contaminated land;

[0073] Based on the hierarchical interpolation result, determining a three-dimensional output image of the target contaminated site, wherein the three-dimensional output image includes regions of different depths, and the regions of different depths are used to reflect the degree of contamination of the target contaminated site;

[0074] Based on the three-dimensional output image, an abnormal area of ​​the target contaminated land is determined.

[0075] The following is an explanation using ground penetrating radar as an example.

[0076] Firstly, the original data of the target contaminated area is spliced ​​and the survey line direction is reversed, and a unified stake number correction is performed according to the comprehensive survey line; in order to eliminate the influence of DC drift and low-frequency drift on the radar signal, the DC and low-frequency drift processing method is adopted to improve the signal quality;

[0077] After that, the processed signal is bandpass filtered to remove noise and enhance the target reflection signal. At the same time, smoothing filtering is applied to further reduce random fluctuations in the data. Interference signals such as ground reflections are removed by background removal technology, and then deconvolution processing is performed to improve the resolution of the reflection signal and make the underground structure features clearer. The processed data is offset corrected to ensure that the reflected wave is consistent with the actual underground structure position. Finally, the processing results are displayed and output in the form of a forward variable area wave train diagram for intuitive analysis.

[0078] Finally, according to the acquisition frequency of the ground penetrating radar, the reflection data within the effective detection depth is interpolated at a layer of 25 cm to ensure the accuracy and continuity of each layer of data.

[0079] The layered interpolated data is imported into the 3D modeling software to generate a 3D output image. In the image, the dark area indicates that the dielectric constant of the underground medium is quite different, while the light area indicates that the medium is more evenly distributed.

[0080] Furthermore, it also includes:

[0081] Determine whether there is a reflection abnormal area caused by non-pollution factors in the abnormal area;

[0082] If it exists, the abnormal area is corrected based on the abnormal reflection area to obtain the corrected abnormal area of ​​the target contaminated area. The abnormal reflection area caused by non-pollution factors can be excluded from the initially identified abnormal area of ​​the target contaminated area, thereby ensuring that the subsequent intrusive detection is more accurately focused on the real contaminated area.

[0083] Step S3, according to the pre-designed point layout plan, determining the point information of the abnormal area, the point information includes multiple points and the number corresponding to each point, the multiple points include a central point and a boundary point; after using the invasive laser induced fluorescence technology to carry out invasive detection technology on the multiple points of the abnormal area, obtaining the detection information of the abnormal area, the detection information includes the soil conductivity and fluorescence data information of each point, and the fluorescence data information includes a fluorescence signal image, a visible light image and semi-quantitative data of fluorescent substances;

[0084] In the embodiment of the present application, the point layout scheme is a scheme of laying out a 4m×4m grid in the abnormal area.

[0085] According to the fluorescence characteristics of petroleum pollution, invasive laser induced fluorescence technology was selected, and invasive detection technology was carried out focusing on the center and boundary points of the abnormal area to obtain real-time soil conductivity as well as intuitive fluorescence signal images, visible light images and semi-quantitative data of fluorescent substances.

[0086] Step S4, determining the petroleum DNAPLs contaminated area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method;

[0087] In the embodiment of the present application, specifically, the petroleum DNAPLs contaminated area in the abnormal area is determined based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method, including:

[0088] Based on the soil conductivity of each of the points, determining the site stratigraphic information of the abnormal area;

[0089] Based on the fluorescence data information of each of the points, determining the pollution distribution information of the petroleum DNAPLs in the abnormal area;

[0090] Determine the stratification of the abnormal area based on the site stratigraphic information and the pollution distribution information of petroleum DNAPLs;

[0091] Based on the stratification, the set inverse distance weighted interpolation method, and the soil conductivity and fluorescence data information corresponding to each of the points, determine the interpolation result of each layer in the abnormal area;

[0092] Based on the interpolation result of each layer in the abnormal area, the petroleum DNAPLs pollution area in the abnormal area is determined.

[0093] In the embodiment of the present application, the site stratigraphic information is mainly hydrogeological information, such as soil texture (clay, sand, silt, etc.), water level, and depth position information of soil texture stratification changes.

[0094] Invasive laser-induced fluorescence detection can obtain the area ratio of fluorescent substances within the window area, thereby determining the content of semi-quantitative petroleum DNAPLs and obtaining the pollution distribution information of petroleum DNAPLs.

[0095] The stratification may be performed every 1 m, but is not limited thereto.

[0096] Step S5, determining multiple target points in the petroleum DNAPLs contaminated area, and obtaining drilling sampling detection and analysis results after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and monomer stable isotope analysis technology, determining the target petroleum DNAPLs contaminated area and the source of petroleum DNAPLs in the target petroleum DNAPLs contaminated area, so as to characterize the distribution of petroleum DNAPLs pollution.

[0097] In the embodiment of the present application, a plurality of target points in the petroleum-based DNAPLs contaminated area are determined based on the petroleum-based DNAPLs concentration at each of the points.

[0098] The target points can be suspected source points and boundary points with high concentrations, and samples are taken from the target points to measure the pollutant concentration.

[0099] The sampling depth is from the surface drill hole to the waterproof bottom plate of the submerged layer, or the pollution depth is judged according to the fluorescent signal to determine the sampling depth.

[0100] In the present embodiment, the monomer stable isotope analysis technology is used to examine the changes in carbon stable isotope composition, thereby determining the target petroleum DNAPLs contaminated area and the source of petroleum DNAPLs in the target petroleum DNAPLs contaminated area.

[0101] The following example uses a method for characterizing the distribution of petroleum heavy non-aqueous liquid pollution at a petroleum-contaminated site in North China where there are undemolished structures underground.

[0102] First, select a ground-penetrating radar device with RTK coordinate positioning function, with a frequency of 100MHz, a measurement accuracy of 1cm, and a measurement depth of ≤20m; the actual site ground-penetrating radar detection trajectory is as follows Figure 2 As shown, detection is carried out to obtain multiple signal values ​​in the area, and then, as Figure 3 As shown in , data processing and interpolation analysis are performed on each signal value to identify the abnormal area with abnormal signals in the area, where the red area represents the abnormal area; then, as shown in Figure 4 As shown in FIG. 1 , a grid point arrangement is carried out for the abnormal area according to the pre-designed point arrangement scheme to determine the point information of the abnormal area, and an invasive laser induced fluorescence technology is used to carry out an invasive detection technology on multiple points in the abnormal area to obtain the detection information of the abnormal area. The obtained invasive laser induced fluorescence detection data is shown in FIG. Figure 5 Finally, Figure 6 As shown, based on the detection information of the abnormal area, the preset interpolation analysis method is used to determine the petroleum DNAPLs pollution area in the abnormal area, and further refine the petroleum DNAPLs pollution boundary, wherein the gray area is the pollution area identified by the preliminary investigation, and the black frame line is the pollution distribution range after fine characterization.

[0103] The present invention combines non-invasive geophysical methods with invasive semi-quantitative techniques and performs optimized predictions through computational models. The entire process significantly shortens the investigation cycle, reduces sampling and testing costs, and can quickly and accurately identify and characterize the pollution distribution of petroleum-based heavy non-aqueous phase liquids (DNAPLs).

[0104] Figure 7 FIG. 2 shows a schematic structural diagram of a device 200 for characterizing the distribution of pollution of a petroleum-based heavy non-aqueous phase liquid. Figure 7 As shown, a petroleum-based heavy non-aqueous phase liquid pollution distribution characterization device 200 mainly includes:

[0105] An acquisition module 201 is used to acquire basic information of a target contaminated site and determine a geophysical exploration technology based on the basic information of the target contaminated site, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions, and salt concentration;

[0106] The abnormal area determination module 202, after conducting on-site detection of the target contaminated land using the geophysical detection technology, obtains a plurality of signal values ​​of the target contaminated land, and determines the abnormal area of ​​the target contaminated land based on each of the signal values, wherein each of the signal values ​​is used to reflect the difference in underground material distribution of the target contaminated land;

[0107] The detection information acquisition module 203 determines the point information of the abnormal area according to the pre-designed point arrangement scheme, the point information includes multiple points and the number corresponding to each point, and the multiple points include the center point and the boundary point; after using the invasive laser induced fluorescence technology to carry out the invasive detection technology on the multiple points of the abnormal area, the detection information of the abnormal area is obtained, the detection information includes the soil conductivity and fluorescence data information of each point, and the fluorescence data information includes the fluorescence signal image, the visible light image and the semi-quantitative data of the fluorescent substance;

[0108] The pollution distribution characterization module 204 determines the petroleum DNAPLs pollution area in the abnormal area based on the soil conductivity of each point, the fluorescence data information and a preset interpolation analysis method;

[0109] Verification module 205 determines multiple target points in the petroleum DNAPLs contaminated area, and obtains drilling sampling detection and analysis results after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and monomer stable isotope analysis technology, the target petroleum DNAPLs contaminated area and the source of petroleum DNAPLs in the target petroleum DNAPLs contaminated area are determined to achieve the characterization of the distribution of petroleum DNAPLs pollution.

[0110] When the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0111] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] Figure 8 This is a structural block diagram of an electronic device 300 according to an embodiment of the present application.

[0115] like Figure 8 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include one or more of an information input / information output (I / O) interface 303 , a communication component 304 , and a communication bus 305 .

[0116] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned method for characterizing the distribution of heavy non-aqueous phase liquid pollution in petroleum; the memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method operated on the electronic device 300, and data related to the application. The memory 302 may be implemented by any type of volatile or non-volatile storage device or a combination thereof.

[0117] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used to test the wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0118] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0119] The computer-readable storage medium provided in the embodiments of the present application is introduced below. The computer-readable storage medium described below and the method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution described above can be referenced to each other.

[0120] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution are implemented.

[0121] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0122] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A method for characterizing the distribution of pollution in a petroleum-based heavy non-aqueous phase liquid, characterized in that: include: Step S1, obtaining basic information of the target contaminated land, and determining the geophysical detection technology based on the basic information of the target contaminated land, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions and salt concentration; Step S2, after conducting on-site detection of the target contaminated land using the geophysical detection technology, a plurality of signal values ​​of the target contaminated land are obtained, and based on each of the signal values, an abnormal area of ​​the target contaminated land is determined, wherein each of the signal values ​​is used to reflect a difference in underground material distribution of the target contaminated land; Step S3, according to the pre-designed point layout plan, determining the point information of the abnormal area, the point information includes multiple points and the number corresponding to each point, the multiple points include a central point and a boundary point; after using the invasive laser induced fluorescence technology to carry out invasive detection technology on the multiple points of the abnormal area, obtaining the detection information of the abnormal area, the detection information includes the soil conductivity and fluorescence data information of each point, and the fluorescence data information includes a fluorescence signal image, a visible light image and semi-quantitative data of fluorescent substances; Step S4, determining the petroleum DNAPLs contaminated area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method; Step S5, determining multiple target points in the petroleum DNAPLs contaminated area, and obtaining drilling sampling detection and analysis results after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and monomer stable isotope analysis technology, determining the target petroleum DNAPLs contaminated area and the source of petroleum DNAPLs in the target petroleum DNAPLs contaminated area, so as to characterize the distribution of petroleum DNAPLs pollution.

2. A method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquid according to claim 1, characterized in that: The determining of the abnormal area of ​​the target contaminated land based on each of the signal values ​​includes: Preprocessing each of the signal values ​​to obtain multiple valid signal values ​​of the target contaminated area; Performing inversion interpretation processing on the multiple effective signal values ​​to obtain multiple positive variable area wave train diagrams of the target contaminated area; Based on the plurality of the forward variable area wave train diagrams, the set layered information and the layered interpolation processing method, determining the layered interpolation result of the target contaminated land, wherein the layered interpolation result is used to characterize the underground medium distribution of each layer of the target contaminated land; Based on the hierarchical interpolation result, determining a three-dimensional output image of the target contaminated site, wherein the three-dimensional output image includes regions of different depths, and the regions of different depths are used to reflect the degree of contamination of the target contaminated site; Based on the three-dimensional output image, an abnormal area of ​​the target contaminated land is determined.

3. A method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquid according to claim 2, characterized in that: Also includes: Determine whether there is a reflection abnormal area caused by non-pollution factors in the abnormal area; If it exists, the abnormal area is corrected based on the reflection abnormal area to obtain the corrected abnormal area of ​​the target contaminated area.

4. A method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquid according to claim 1, characterized in that: The point layout scheme is a scheme of laying out a 4m×4m grid in the abnormal area.

5. A method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquid according to claim 1, characterized in that: The method of determining the petroleum DNAPLs contaminated area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method includes: Based on the soil conductivity of each of the points, determining the site stratigraphic information of the abnormal area; Based on the fluorescence data information of each of the points, determining the pollution distribution information of the petroleum DNAPLs in the abnormal area; Determine the stratification of the abnormal area based on the site stratigraphic information and the pollution distribution information of petroleum DNAPLs; Based on the stratification, the set inverse distance weighted interpolation method, and the soil conductivity and fluorescence data information corresponding to each of the points, determine the interpolation result of each layer in the abnormal area; Based on the interpolation result of each layer in the abnormal area, the petroleum DNAPLs pollution area in the abnormal area is determined.

6. A method for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquid according to claim 5, characterized in that: Determining multiple target points in the petroleum DNAPLs contaminated area includes: Based on the petroleum DNAPLs concentration at each of the points, multiple target points in the petroleum DNAPLs contaminated area are determined.

7. Application of the method for characterizing the distribution of petroleum-based heavy non-aqueous phase liquid pollution according to any one of claims 1 to 6 in site pollution investigation.

8. A device for characterizing the distribution of pollution of petroleum-based heavy non-aqueous phase liquids, characterized in that: include: An acquisition module, used to acquire basic information of the target contaminated land, and determine the geophysical detection technology based on the basic information of the target contaminated land, wherein the basic information includes land status information and historical survey information, and the historical survey information includes pollution conditions, hydrogeological conditions and salt concentration; an abnormal area determination module, which, after conducting on-site detection of the target contaminated land using the geophysical detection technology, obtains a plurality of signal values ​​of the target contaminated land, and determines the abnormal area of ​​the target contaminated land based on each of the signal values, wherein each of the signal values ​​is used to reflect the difference in underground material distribution of the target contaminated land; The detection information acquisition module determines the point information of the abnormal area according to the pre-designed point arrangement plan, wherein the point information includes multiple points and numbers corresponding to each of the points, and the multiple points include central points and boundary points; after using the invasive laser induced fluorescence technology to carry out invasive detection technology on multiple points in the abnormal area, the detection information of the abnormal area is obtained, wherein the detection information includes soil conductivity and fluorescence data information of each point, and the fluorescence data information includes fluorescence signal images, visible light images and semi-quantitative data of fluorescent substances; A pollution distribution characterization module, which determines the petroleum DNAPLs pollution area in the abnormal area based on the soil conductivity of each of the points, the fluorescence data information and a preset interpolation analysis method; The verification module determines multiple target points in the petroleum DNAPLs contaminated area, and obtains the results of the drilling sampling detection and analysis after performing drilling sampling detection and analysis on each of the target points; based on the drilling sampling detection and analysis results and the monomer stable isotope analysis technology, the target petroleum DNAPLs contaminated area and the source of the petroleum DNAPLs in the target petroleum DNAPLs contaminated area are determined to achieve the characterization of the distribution of petroleum DNAPLs pollution.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 6.

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