A method, system, and electronic equipment for detecting formation water-bearing properties based on wide-area electromagnetic methods.

Abstract

This application discloses a method, system, and electronic equipment for detecting water-bearing properties of formations based on wide-area electromagnetic methods. The method includes: acquiring the apparent resistivity curve of the area to be detected and determining frequency-domain induced polarization information based on the apparent resistivity curve; constructing a geological analysis model based on the frequency-domain apparent resistivity curve and the frequency-domain induced polarization information; performing one-dimensional and two-dimensional continuous medium inversion based on the geological analysis model to obtain inversion results; and determining the water-bearing properties of the area to be detected based on the obtained inversion results. This method enables the application of wide-area electromagnetic methods in the exploration of water-bearing areas in coal mines, improving the efficiency and accuracy of water-bearing body detection in coal mines.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) technology, and in particular to a method for detecting water-bearing properties of strata based on wide-area electromagnetic methods. Background Technology

[0002] Mine water hazards are one of the major hidden geological hazards faced during coal mining. Common geophysical detection methods include transient electromagnetic methods, controlled-source audio-frequency magnetotellurics, and radio wave imaging of mine roadways.

[0003] Wide-area electromagnetic (WME) methods involve establishing an artificial field source to transmit pseudo-random signals via alternating current at various frequencies to observe one or more electromagnetic field components, which can then be calculated using formulas covering the entire area. It combines the advantages of artificial field sources found in controlled-source audio-frequency magnetotellurics (AMT) with the non-far-field measurement advantages of magnetic dipole source frequency sounding. Furthermore, it overcomes the disadvantage of weak far-field signals in AMT. WME methods are widely used in deep-sea oil and gas exploration, solid mineral exploration, and geothermal exploration. However, WME methods have not yet been specifically implemented in coal mine water control exploration. Summary of the Invention

[0004] This application provides a method, system, and electronic equipment for detecting water-rich strata based on wide-area electromagnetic method, which enables the application of wide-area electromagnetic method in the exploration of water-rich areas in coal mines, and improves the efficiency and accuracy of the exploration of water-rich bodies in coal mines.

[0005] In a first aspect, this application provides a method for detecting formation water-bearing properties based on wide-area electromagnetic methods, the method comprising:

[0006] Obtain the apparent resistivity curve of the region to be detected, and determine the frequency domain induced polarization information based on the apparent resistivity curve;

[0007] Based on the frequency domain apparent resistivity curve and the frequency domain electrical information, a geological analysis model is constructed.

[0008] Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain the inversion results.

[0009] The water-richness of the area to be tested is determined based on the obtained inversion results.

[0010] The method provided in this application enables the application of wide-area electromagnetic methods in the exploration of water-rich areas in coal mines, and improves the efficiency and accuracy of the exploration of water-rich bodies in coal mines.

[0011] In one possible design, determining frequency-domain electrical information based on the apparent resistivity curve includes:

[0012] Polarization parameters are extracted by impedance analysis of two frequency bands in the low-frequency range.

[0013] The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information.

[0014] In one possible design, one-dimensional and two-dimensional continuous medium inversions are performed based on the geological analysis model to obtain inversion results, including:

[0015] One-dimensional continuous medium inversion was performed on the geological analysis model to obtain one-dimensional inversion results;

[0016] Two-dimensional continuous medium inversion was performed on the geological analysis model to obtain two-dimensional inversion results;

[0017] The one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

[0018] In one possible design, determining the water-richness of the area to be detected based on the obtained inversion results includes:

[0019] Fault division is performed on the one-dimensional inversion result in the inversion result to obtain the fault division result;

[0020] Stratigraphic division is performed on the two-dimensional inversion results in the inversion results to obtain stratigraphic division results;

[0021] Based on the fault division results and the stratigraphic division results, the water-bearing capacity of the area to be tested is determined.

[0022] Secondly, this application provides a formation water-bearing detection system based on wide-area electromagnetic method, the system comprising:

[0023] The acquisition module is used to acquire the apparent resistivity curve of the region to be detected and determine the frequency domain induced polarization information based on the apparent resistivity curve.

[0024] The processing module is used to construct a geological analysis model based on the frequency domain apparent resistivity curve and the frequency domain electrical information.

[0025] Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain the inversion results.

[0026] The water-richness of the area to be tested is determined based on the obtained inversion results.

[0027] In one possible design, the processing module is specifically used to extract polarization parameters through the impedance of two frequency bands in the low-frequency band;

[0028] The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information.

[0029] In one possible design, the processing module is specifically used to perform a one-dimensional continuous medium inversion on the geological analysis model to obtain a one-dimensional inversion result;

[0030] Two-dimensional continuous medium inversion was performed on the geological analysis model to obtain two-dimensional inversion results;

[0031] The one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

[0032] In one possible design, the processing module is specifically used to perform fault delineation on the one-dimensional inversion result in the inversion result to obtain the fault delineation result;

[0033] Stratigraphic division is performed on the two-dimensional inversion results in the inversion results to obtain stratigraphic division results;

[0034] Based on the fault division results and the stratigraphic division results, the water-bearing capacity of the area to be tested is determined.

[0035] Thirdly, this application provides an electronic device, comprising:

[0036] Memory, used to store computer programs;

[0037] When the processor executes the computer program stored in the memory, it implements the steps of the above-described method for detecting water-bearing properties of formations based on the wide-area electromagnetic method.

[0038] Thirdly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for detecting water-bearing properties of formations based on a wide-area electromagnetic method.

[0039] For the various aspects of the second to fourth aspects mentioned above, and the technical effects that each aspect may achieve, please refer to the above description of the technical effects that can be achieved for the first aspect or the various possible solutions in the first aspect, which will not be repeated here. Attached Figure Description

[0040] Figure 1 A flowchart of a formation water-bearing detection method based on wide-area electromagnetic method provided for this application;

[0041] Figure 2 The electric field signal curve at a transmit / receive distance of 8km provided in this application;

[0042] Figure 3 The electric field signal curve at a 6km transmission / reception distance provided in this application;

[0043] Figure 4Signal-to-noise ratio curves at different receiving distances are provided for this application;

[0044] Figure 5 Apparent resistivity curves for different receiver pole spacings provided for this application;

[0045] Figure 6 A schematic diagram showing the comparison between the inversion curve and the logging curve provided in this application;

[0046] Figure 7 A schematic diagram of the apparent resistivity profile of the 538-line provided in this application;

[0047] Figure 8 A schematic diagram of the 538 pseudo-dual-frequency induced polarization curve provided for this application;

[0048] Figure 9 A schematic diagram of a formation water-bearing detection system based on wide-area electromagnetic method provided for this application;

[0049] Figure 10 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The specific operational methods in the method embodiments can also be applied to the device embodiments or system embodiments. It should be noted that in the description of this application, "multiple" is understood as "at least two". "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. A connected to B can represent: A and B directly connected, and A and B connected through C. Furthermore, in the description of this application, terms such as "first" and "second" are used only for distinguishing the purpose of description and should not be construed as indicating or implying relative importance or order.

[0051] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0052] Reference Figure 1 The diagram shown is a flowchart of a formation water-bearing detection method based on wide-area electromagnetic method provided in an embodiment of this application. The method includes:

[0053] S1, acquire the apparent resistivity curve of the region to be detected, and determine the frequency domain induced polarization information based on the apparent resistivity curve;

[0054] First, before conducting stratigraphic water-bearing tests, a test area needs to be identified. This test area is a completely concealed zone, with strata from oldest to youngest being the Ordovician (O), Benxi Formation (C2b), Taiyuan Formation (C3t), Shanxi Formation (P1s), Lower Shihezi Formation (P1xs), Upper Shihezi Formation (P2s), Neogene (N), and Quaternary (Q). The coal-bearing strata are the Lower Permian Shanxi Formation, Lower Shihezi Formation, and Upper Permian Upper Shihezi Formation. The roof of the coal seam is mainly composed of medium to coarse sandstone, while the floor is mostly mudstone and sandy mudstone.

[0055] The aquifers in the study area, from top to bottom, are: Cenozoic loose strata aquifers and aquitards (groups), Permian aquifers and aquitards, and limestone aquifers and aquitards. Among them, the Permian aquifers are the main direct water-bearing layers for coal seam mining. According to the statistical analysis of existing well logging resistivity information, the overall formation resistivity in the study area shows a trend of low resistivity—medium-high resistivity—high resistivity (Table 1). The main target layer is located at the bottom of the Shanxi Formation, and the water-bearing capacity of the bottom aquifer of Coal Mine No. 5 is being explored.

[0056] Table 1

[0057]

[0058] In early controlled-source audio-frequency magnetotelluric (AMT) exploration, a maximum exploration depth of more than four times the transmit / receive distance was considered suitable. However, with advancements in technology, some scholars have argued that a skin depth of more than nine times the transmit / receive distance (13 times the exploration depth) is necessary to meet far-field conditions. In practical applications, to balance far-field conditions and a high signal-to-noise ratio, a transmit / receive distance of 6 to 8 times the exploration depth is commonly used. This is because frequency-domain electromagnetic exploration involves three zones: the far-field, transition zone, and near-field. The electromagnetic wave field in the far-field is a plane wave, and depth measurement is achieved by changing the frequency. The electromagnetic wave in the transition zone is between a plane wave and a spherical wave, and depth measurement can also be performed by changing the frequency. The advantage of wide-area electromagnetic methods lies in utilizing the transition zone information of artificial field sources. The electromagnetic wave field in the near-field is a spherical wave, and changing the frequency has no depth measurement effect. Depth measurement is determined by the spatial relationship (geometric dimensions) of the transmitting and receiving devices, and the apparent resistivity is actually the apparent resistivity of the DC method.

[0059] Determining the optimal transmit / receive distance not only ensures the reception of high signal-to-noise ratio wide-area electromagnetic signals but also meets the depth requirements of geological tasks. Based on construction experience in other fields of wide-area electromagnetic exploration, the transmit / receive distance is 3 to 5 times the exploration depth. This study primarily conducted transmit / receive distance tests at 3.5 km and 5.5 km. Figure 2 and Figure 3It was observed that the wide-area electromagnetic signal was much stronger than the natural electric field signal. The wide-area electromagnetic signal exhibited a different and independent shape compared to the natural electromagnetic signal, effectively suppressing the natural field signal. The curves of the two wide-area electromagnetic signals at different transmission distances were consistent; the signal strength at a transmission distance of 3.5 km was greater than that at 5.5 km. Therefore, given that the depth requirement was met, a transmission distance of 3.5 km was chosen for data acquisition.

[0060] Furthermore, the signal-to-noise ratio will vary depending on the MN receiving electrode spacing. Considering the influence of factors such as terrain, landforms, and ground buildings, the position of the MN electrode at some measurement points may shift (change), so different MN electrode spacing tests are required. Figure 4 The graphs show the signal-to-noise ratio (SNR) curves at different receiving distances when the transmit / receive distance is 3.5 km. The SNR is generally greater than 2 between 0.625 and 2000 Hz, meaning the SNR is greater than 2 across the target depth range, indicating that useful signals can be acquired. Furthermore, it can be observed that the SNR does not change significantly across the four different MN receiving distances.

[0061] The larger MN is, the greater the received electric field value, the stronger the anti-interference term, and the larger the electric field. Figure 5 The resistivity shows a small difference with a large electrode spacing. In areas with complex conditions unsuitable for larger receiving distances, the receiving distance can be appropriately reduced while still achieving the same data acquisition effect; alternatively, the electromagnetic field strength can be increased by increasing the receiving distance. The final calculated resistivity magnitude and shape remain unchanged, but with a larger receiving electrode spacing, the lateral resolution decreases relatively. The overall resistivity curve of the wide-area electromagnetic method is relatively smooth. The apparent resistivity curve of the original data frequency still shows a response in the low-frequency band, indicating that it is minimally affected by the field source effect and unaffected by the transition and near-field regions. The curve shows that in the high-frequency band (8192Hz–8Hz), the resistivity value decreases with decreasing frequency, and the apparent resistivity value varies from 8Ω·m to 30Ω·m, with a slight change at 100Hz; between 8Hz and 0.75Hz, the resistivity curve shows an increasing trend with decreasing frequency, with the apparent resistivity value increasing to 70Ω·m. The overall curve represents an H-shaped geoelectric cross-section.

[0062] further, Figure 6 The experimental results show the wide-area electromagnetic inversion sounding curves at the test point with a transmit / receive distance of 3.5 km and a receiver electrode spacing MN of 20 m. The curves reveal clear electrical characteristics and distinct stratigraphic layers. The apparent resistivity of each stratum progresses from low to medium to high resistivity from shallow to deep depths. The well logging curves and borehole logs at the test point on the left show that the resistivity is low at depths of 0-600 m, reflecting the Cenozoic strata. Around 600 m, as the coal-bearing strata are reached, the resistivity begins to increase. The wide-area electromagnetic inversion curves are consistent with the borehole logging curves.

[0063] After determining the correspondence between apparent resistivity and frequency using the wide-area electromagnetic method as described above, as follows: Figure 7The apparent resistivity pseudo-section of the 538-line wide-area electromagnetic method shows that the original data frequency apparent resistivity pseudo-section map of the wide-area electromagnetic method still has a response in the low-frequency band, indicating that it is only slightly affected by the field source effect and is not affected by the transition zone and near-field zone. This is different from the Carnia apparent resistivity curve of the traditional controlled-source audio-frequency magnetotelluric method, which is affected by the field source effect and enters the transition zone and near-field zone in the low-frequency band, causing the Carnia apparent resistivity curve of the CSAMT method to show a significant upward trend in the low-frequency band, thus making it impossible to divide the strata and form a correlation in the low-frequency band.

[0064] Furthermore, in this embodiment, polarization parameters are extracted by impedance analysis of two frequency bands in the low-frequency band, and the resistivity curve is polarized based on the polarization parameters to obtain frequency domain induced polarization information.

[0065] Specifically, in frequency electromagnetic sounding, polarization parameters similar to amplitude frequency F can be extracted by the impedances Z(fH), Z(fL) or the normalized potentials U(fH), U(fL) between two frequencies in the lower frequency band. This helps to detect highly polarized minerals such as groundwater (thermal) water, metal sulfide deposits, and graphite deposits, and plays a particularly important role in the exploration of groundwater for green energy.

[0066] The pseudo-dual-frequency induced polarization anomaly refers to the induced polarization anomaly extracted by using the normalized potential difference of the current at two frequencies, high (28Hz) and low (3.5Hz), acquired through wide-area electromagnetic data acquisition, in the manner of dual-frequency excitation polarization. It is not a true dual-frequency induced polarization anomaly, but it is similar to it.

[0067] according to Figure 8 The pseudo-dual-frequency induced polarization curve shows a high-value anomaly near the 4000-meter mark, indicating a relatively water-rich area. However, it is worth noting that since polarization anomalies do not have a depth concept and reflect overall planar anomaly characteristics, the error in depth is relatively large.

[0068] S2. Based on the frequency domain apparent resistivity curve and frequency domain electrical information, a geological analysis model is constructed.

[0069] S3, based on the geological analysis model, perform one-dimensional continuous medium inversion and two-dimensional continuous medium inversion to obtain the inversion results;

[0070] Specifically, a one-dimensional continuous medium inversion is performed on the geological analysis model to obtain a one-dimensional inversion result; a two-dimensional continuous medium inversion is performed on the geological analysis model to obtain a two-dimensional inversion result; and the one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

[0071] S4. Determine the water-richness of the area to be detected based on the obtained inversion results.

[0072] Specifically, wide-area electromagnetic method (WEM) data processing and interpretation is based on rock physical properties. First, qualitative analysis is performed using frequency and apparent resistivity curves. Then, a reasonable geological model is established, and one-dimensional and two-dimensional continuous medium inversions are conducted. Combined with resistivity logging data, this comprehensive interpretation improves the reliability and accuracy of WEM interpretation results. One-dimensional inversion results can be used for fault delineation, while two-dimensional continuous medium inversion results can be used for stratigraphic delineation. Finally, the combined results of one-dimensional and two-dimensional continuous medium inversions are used to accurately interpret water-rich areas.

[0073] pass Figure 8 The results show that the inversion results exhibit a low-resistivity to medium-high-resistivity to high-resistivity relationship, and have a good ability to distinguish Quaternary and Neogene, Upper and Lower Shihezi Formations and Shanxi Formation, Taiyuan Formation, and Ordovician limestone.

[0074] From the inverted resistivity cross-section, the resistivity of the aquifer at a distance of 4000-4100m in the wide-area electromagnetic inversion cross-section map of the No. 5 coal seam is relatively lower in the lateral direction than other measuring points, indicating that the aquifer has strong water-bearing capacity at this location. Furthermore, it exhibits a low-resistivity band that slopes towards smaller values ​​in the deep part, indicating that the water-bearing area has strong continuity.

[0075] In summary, the method provided in this application has at least the following technical effects:

[0076] 1. Wide-area electromagnetic method has strong penetration and formation electrical stratification capabilities for thick, low-resistivity layers. It also shows significant response to low resistivity anomalies, and the vertical resistivity inversion model is consistent with the logging curves.

[0077] 2. Using a transmission and reception distance of 3 times the exploration depth in coalfield hydrogeological exploration provides strong anti-interference capabilities and enables the acquisition of high signal-to-noise ratio data.

[0078] 3. In terms of interpretation, combining apparent resistivity and frequency curves, inverted resistivity cross-sectional diagrams, and pseudo-dual-frequency induced polarization can provide a more comprehensive analysis of the existing low-resistivity water-rich anomalies.

[0079] 4. The wide-area electromagnetic method was applied for the first time in the exploration of water-rich areas in coal mines. The comparison showed that the wide-area electromagnetic method is highly efficient and accurate in the exploration of water-rich bodies in coal mines. It can be widely used as an emerging geophysical exploration method in the prevention and control of water in deep coalfields.

[0080] Based on the same inventive concept, this application also provides a formation water-bearing detection system based on the wide-area electromagnetic method, such as... Figure 9 The diagram shown is a schematic representation of a formation water-bearing detection system based on the wide-area electromagnetic method provided in an embodiment of this application. The system includes:

[0081] The acquisition module 901 is used to acquire the apparent resistivity curve of the area to be detected, and determine the frequency domain induced polarization information based on the apparent resistivity curve.

[0082] Processing module 902 is used to construct a geological analysis model based on the frequency domain apparent resistivity curve and the frequency domain electrical information;

[0083] Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain the inversion results.

[0084] The water-richness of the area to be tested is determined based on the obtained inversion results.

[0085] In one possible design, the processing module 902 is specifically used to extract polarization parameters through the impedance of two frequency bands in the low-frequency band;

[0086] The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information.

[0087] In one possible design, the processing module 902 is specifically used to extract polarization parameters through the impedance of two frequency bands in the low-frequency band;

[0088] The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information.

[0089] In one possible design, the processing module 902 is specifically used to perform a one-dimensional continuous medium inversion on the geological analysis model to obtain a one-dimensional inversion result;

[0090] Two-dimensional continuous medium inversion was performed on the geological analysis model to obtain two-dimensional inversion results;

[0091] The one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

[0092] Based on the same inventive concept, this application also provides an electronic device that can realize the function of the aforementioned formation water-bearing detection system based on the wide-area electromagnetic method. (Refer to...) Figure 10 The electronic device includes:

[0093] At least one processor 1001 and a memory 1002 connected to at least one processor 1001. In this embodiment, the specific connection medium between the processor 1001 and the memory 1002 is not limited. Figure 10 The example shown is the connection between processor 1001 and memory 1002 via bus 1000. Bus 1000 is... Figure 10 The connections between other components are indicated by thick lines and are for illustrative purposes only, not as limiting information. The Bus 1000 can be divided into address bus, data bus, control bus, etc., for ease of representation. Figure 10The term 1001 is represented by a single thick line, but this does not imply that there is only one bus or one type of bus. Alternatively, the processor 1001 can also be called a controller; there are no restrictions on the name.

[0094] In this embodiment, memory 1002 stores instructions executable by at least one processor 1001. By executing the instructions stored in memory 1002, at least one processor 1001 can perform the aforementioned method for detecting formation water abundance based on the wide-area electromagnetic method. Processor 1001 can implement... Figure 8 The system shown illustrates the functions of each module.

[0095] The processor 1001 is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory 1002 and calling data stored in memory 1002, the processor can perform various functions and process data, thereby monitoring the device as a whole.

[0096] In one possible design, processor 1001 may include one or more processing units. Processor 1001 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into processor 1001. In some embodiments, processor 1001 and memory 1002 may be implemented on the same chip; in some embodiments, they may also be implemented on separate chips.

[0097] The processor 1001 can be a general-purpose processor, such as a central processing unit (CPU), digital signal processor, application-specific integrated circuit, field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the formation water-bearing detection method based on wide-area electromagnetic method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0098] Memory 1002, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory 1002 may include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic storage, magnetic disk, optical disk, etc. Memory 1002 can be any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto. In the embodiments of this application, memory 1002 can also be a circuit or any other device capable of implementing storage functions for storing program instructions and / or data.

[0099] By designing and programming the processor 1001, the code corresponding to the formation water-bearing detection method based on the wide-area electromagnetic method described in the aforementioned embodiments can be embedded into the chip, thereby enabling the chip to execute the code during operation. Figure 1 The illustrated embodiment presents a step for detecting formation water abundance based on a wide-area electromagnetic method. How to design and program the processor 1001 is a technique well-known to those skilled in the art and will not be described further here.

[0100] Based on the same inventive concept, embodiments of this application also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform a formation water-bearing detection method based on wide-area electromagnetic method as described above.

[0101] In some possible implementations, various aspects of the formation water-bearing detection based on the wide-area electromagnetic method provided in this application can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the formation water-bearing detection based on the wide-area electromagnetic method according to the various exemplary embodiments of this application described above.

[0102] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0104] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0105] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0106] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for detecting formation water-bearing properties based on wide-area electromagnetic methods, characterized in that, The method includes: Obtain the apparent resistivity curve of the region to be detected, and determine the frequency domain induced polarization information based on the apparent resistivity curve; A geological analysis model is constructed based on the frequency domain apparent resistivity curve and the frequency domain induced polarization information. Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain the inversion results. The water-richness of the area to be detected is determined based on the obtained inversion results; Determining frequency domain induced polarization information based on the apparent resistivity curve includes: Polarization parameters are extracted by the impedance or the normalized potential between the currents of two frequencies in the low-frequency band. The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information. Among them, the induced polarization anomaly extracted by the dual-frequency excitation polarization method using the normalized potential difference of the high and low frequencies of the wide-area electromagnetic data acquisition is called the pseudo-dual-frequency induced polarization anomaly. The high value anomaly of the pseudo-dual-frequency induced polarization curve is used to infer the relatively water-rich area.

2. The method as described in claim 1, characterized in that, Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain inversion results, including: One-dimensional continuous medium inversion was performed on the geological analysis model to obtain one-dimensional inversion results; Two-dimensional continuous medium inversion was performed on the geological analysis model to obtain two-dimensional inversion results; The one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

3. The method as described in claim 2, characterized in that, The step of determining the water-richness of the area to be detected based on the obtained inversion results includes: Fault division is performed on the one-dimensional inversion result in the inversion result to obtain the fault division result; Stratigraphic division is performed on the two-dimensional inversion results in the inversion results to obtain stratigraphic division results; Based on the fault division results and the stratigraphic division results, the water-bearing capacity of the area to be tested is determined.

4. A formation water-bearing detection system based on wide-area electromagnetic method, characterized in that, The system includes: The acquisition module is used to acquire the apparent resistivity curve of the region to be detected and determine the frequency domain induced polarization information based on the apparent resistivity curve. The processing module is used to construct a geological analysis model based on the frequency domain apparent resistivity curve and the frequency domain induced polarization information. Based on the geological analysis model, one-dimensional and two-dimensional continuous medium inversions were performed to obtain the inversion results. The water-richness of the area to be tested is determined based on the obtained inversion results.

5. The system as described in claim 4, characterized in that, The processing module is specifically used to extract polarization parameters through the impedance of two frequency bands in the low-frequency band; The apparent resistivity curve is polarized according to the polarization parameters to obtain the frequency domain induced polarization information.

6. The system as described in claim 4, characterized in that, The processing module is specifically used to perform a one-dimensional continuous medium inversion on the geological analysis model to obtain a one-dimensional inversion result. Two-dimensional continuous medium inversion was performed on the geological analysis model to obtain two-dimensional inversion results; The one-dimensional inversion result and the two-dimensional inversion result are combined to form the inversion result.

7. The system as described in claim 6, characterized in that, The processing module is specifically used to perform fault division on the one-dimensional inversion result in the inversion result to obtain the fault division result; Stratigraphic division is performed on the two-dimensional inversion results in the inversion results to obtain stratigraphic division results; Based on the fault division results and the stratigraphic division results, the water-bearing capacity of the area to be tested is determined.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, when executing a computer program stored in the memory, implements the method steps of any one of claims 1-3.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described in any one of claims 1-3.

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