A space-ground-well transient electromagnetic stereoscopic detection method for low resistance ore body

Abstract

The application discloses a kind of air-ground-well transient electromagnetic stereoscopic detection methods for low resistance ore body, belong to geophysical exploration technical field.It includes carrying out airborne transient electromagnetic measurement, ground transient electromagnetic measurement and ground-well transient electromagnetic measurement, respectively obtain aerial data, ground data and ground-well data, and carry out pretreatment to it, carry out multi-source data quality control and data integration to aerial data, ground data and ground-well data after pretreatment, obtain multi-source data set, carry out air-ground-well joint inversion based on multi-source data set, construct the three-dimensional electrical property model of working area, based on three-dimensional electrical property model, combined with multiple geological information, carry out comprehensive geological-geophysical interpretation.The application constructs multi-parameter three-dimensional electrical property model by air-ground-well stereoscopic coordination and surface-line-point progressive detection, combined with joint inversion, significantly improves the detection accuracy, depth and success rate of low resistance ore body, effectively reduces the multi-solution.

Description

Technical Field

[0001] This invention relates to the field of geophysical exploration technology, specifically to a three-dimensional transient electromagnetic detection method for low-resistivity ore bodies via air-to-ground-to-well transition. Background Technology

[0002] For underground low-resistivity ore bodies (such as copper-nickel sulfide ore and lead-zinc ore), transient electromagnetic method (TEM) is an effective detection tool due to its sensitivity to low-resistivity bodies. However, traditional measurement processes usually only use a single method for underground detection, such as airborne, ground, or borehole methods, which cannot fully take into account the synergistic advantages of integrated air-ground measurement.

[0003] Airborne transient electromagnetic method: It can quickly scan the underground surface, and is particularly suitable for areas with complex terrain and inaccessible to personnel. It can quickly delineate anomalies within the area and set key exploration areas for subsequent work. However, its resolution is relatively low and it is easily affected by factors such as flight altitude.

[0004] Surface transient electromagnetic method: Capable of detailed, deep exploration of underground targets. Especially when combined with high-temperature superconducting technology, it boasts high sensitivity, high signal-to-noise ratio in the late stage, and long observation time. Therefore, while maintaining exploration accuracy, it allows for greater detection depth, facilitating the discovery of deep ore bodies. However, this method has relatively low efficiency and is difficult to use for large-area surface scanning.

[0005] Ground-to-well transient electromagnetic method: It can utilize existing boreholes to detect blind ore around, at the bottom of, and between boreholes, making up for the shortcomings of ground and airborne methods in vertical resolution and borehole perimeter detection. It can more clearly determine the spatial distribution of ore bodies, thereby improving the borehole ore-bearing rate and prospecting results.

[0006] In summary, each method has its own advantages and limitations. By utilizing three-dimensional observations—airborne, ground-based, and borehole-based—information can be cross-complemented. This involves a transient electromagnetic three-dimensional detection system—from aerial scanning to precise ground profiling and then to borehole positioning—that is, a "surface-line-point" approach. This significantly reduces the ambiguity of single-observation data inversion results and improves the accuracy of comprehensive interpretation. However, currently, there is a lack of a systematic technical solution that effectively integrates these three methods—from forward modeling and data processing to joint inversion and 3D modeling—to achieve efficient and accurate positioning of low-resistivity ore bodies.

[0007] To address the aforementioned issues, there is an urgent need for a three-dimensional transient electromagnetic detection method for low-resistivity ore bodies that integrates air, ground, and well approaches, thus resolving the problems associated with traditional methods. Summary of the Invention

[0008] The purpose of this invention is to provide a three-dimensional transient electromagnetic detection method for low-resistivity ore bodies using air-ground-wellbore methods. By combining air-ground-wellbore three-dimensional collaborative detection with surface-line-point progressive detection, and by constructing a multi-parameter three-dimensional electrical model through joint inversion, the accuracy, depth, and success rate of low-resistivity ore body detection are significantly improved, and the ambiguity of solutions is effectively reduced.

[0009] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A three-dimensional transient electromagnetic detection method for low-resistivity ore bodies via air-to-ground-to-well transitions includes: Step 1: Conduct airborne transient electromagnetic measurements, ground transient electromagnetic measurements, and ground-to-well transient electromagnetic measurements to acquire airborne data, ground data, and ground-to-well data, respectively. Process the data using each method to obtain the processed airborne data, ground data, and ground-to-well data. Step 2: Perform multi-source data quality control and data integration on the processed aerial data, surface data, and ground-well data to obtain a multi-source dataset; Step 3: Conduct joint air-ground-well inversion based on multi-source datasets to construct a three-dimensional electrical model of the working area; Step 4: Based on the three-dimensional electrical model, combined with multi-source geological information, conduct comprehensive geological-geophysical interpretation to predict and verify the target area of ​​the survey area.

[0010] Further, in step 1, airborne transient electromagnetic measurements are conducted to acquire airborne data, and this data is then processed, specifically as follows: Large-scale, high-precision measurement methods were used to conduct airborne transient electromagnetic measurements in the work area, and key airborne parameters were recorded simultaneously during the measurement process to obtain airborne data. The aviation data is subjected to noise suppression of motion, atmospheric noise, power frequency interference, and human noise. After superposition and channel extraction, flight altitude and attitude correction are performed. The processed aerial data is inverted to obtain a resistivity or polarizability model for the survey area. The resistivity or polarizability model is then compared with known geological data to verify the inversion effect and delineate key anomaly areas.

[0011] Furthermore, the key aviation parameters include transmitting coil current, area and number of turns, observation time, receiving coil parameters and GPS coordinates, flight altitude, and receiving coil altitude.

[0012] Furthermore, in step 1, ground transient electromagnetic measurements are conducted to acquire ground data, and this data is then processed, specifically as follows: Deploy a high-precision ground transient electromagnetic measurement network within the designated key anomaly areas, conduct ground transient electromagnetic measurements, and simultaneously record key ground parameters during the measurement process to obtain ground data; Ground data is processed by power frequency interference removal, atmospheric noise suppression, and attenuation curve smoothing. The processed ground data is inverted to obtain the resistivity or polarizability model of the survey area, and the resistivity or polarizability model of the survey area is compared with known geological data to verify the inversion effect.

[0013] Furthermore, the key ground parameters include GPS coordinates, transmission current, and observation time.

[0014] Further, in step 1, transient electromagnetic measurements are performed between the surface and the well to acquire surface-to-well data, and this data is then processed, specifically as follows: Based on the combined results of airborne and ground-based transient electromagnetic measurements, new boreholes are drilled or existing boreholes are utilized in locations with the greatest mineral exploration potential to conduct ground-well transient electromagnetic measurements. Key ground-well parameters are recorded simultaneously during the measurement process to obtain ground-well data. Noise suppression and probe position correction are performed on the ground-well data; The processed ground-well data is inverted to obtain resistivity or polarizability models around and deep within the borehole, and the inversion effect is verified by comparing them with known geological data.

[0015] Furthermore, the key ground-well parameters include GPS coordinates, transmission current, and observation time.

[0016] Furthermore, in step 2, the processed aerial data, surface data, and ground-well data are integrated from multiple sources, specifically as follows: The processed aerial data, ground data, and ground-well data are integrated, including establishing a unified coordinate system and elevation datum, and focusing on the overlapping parts of the measurement area; The three types of data, once processed, are unified under the same spatial coordinate system to form a multi-source dataset.

[0017] Furthermore, in step 3, a joint air-ground-well inversion is performed based on multi-source datasets to construct a three-dimensional electrical model of the working area, specifically as follows: The resistivity or polarizability models of airborne data, surface data, and ground-well data were compared and analyzed with known geological data to preliminarily evaluate the inversion effect of each method. A multi-data joint inversion method was adopted, which integrates airborne data, surface data and ground-well data into the inversion framework. The inversion model was then iteratively corrected and optimized by combining prior geological information and borehole physical property data to obtain a three-dimensional geoelectric model.

[0018] Furthermore, in step 4, a comprehensive geological-geophysical interpretation is carried out based on the three-dimensional electrical model and combined with multi-source geological information, specifically as follows: Import the 3D geoelectric model into the 3D visualization platform to construct a 3D geological-geophysical model of the work area; In a three-dimensional geological-geophysical model, the spatial morphology, occurrence, scale and spatial relationship with fault structures of low resistivity anomalies are analyzed. Their mineralization is judged by combining polarizability information, and a resistivity-orebody joint model is established. Based on the comprehensive analysis results of the three-dimensional geological-geophysical model and the resistivity-orebody joint model, the location of the next mineral exploration target area or verification borehole can be accurately predicted.

[0019] In summary, the present invention has at least one of the following beneficial technical effects: 1. This invention significantly improves detection accuracy. Through three-dimensional observation and joint inversion of air-ground-well, the positioning accuracy of low-resistivity ore bodies can be significantly improved compared with the single ground TEM method, and the boundary and internal structure of the ore body can be more clearly depicted.

[0020] 2. This invention effectively increases the detection depth, making full use of the deep detection capabilities of ground TEM and the near-field detection advantages of in-well TEM. The overall detection depth is greater than that of traditional methods, effectively expanding the space for deep mineral exploration.

[0021] 3. This invention significantly reduces the ambiguity of solutions. Cross-validation and structural constraints of multi-source data make the inversion results more stable and reliable, effectively eliminating false anomalies that may be caused by single data, and greatly improving the credibility of the interpretation results.

[0022] 4. This invention improves exploration efficiency and success rate. The aerial method quickly scans the surface to narrow down the target area, and the ground and well methods provide accurate verification. The entire process is efficient and orderly, which can improve the hit rate of mineral exploration target areas and significantly reduce the economic losses caused by blind drilling. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 A schematic diagram of the data preprocessing flow for the air-to-ground-to-well transient electromagnetic method; Figure 3 A schematic diagram of three-dimensional coordinated detection using the transient electromagnetic method in air, ground, and well. Figure 4 This is a block diagram of the transient electromagnetic three-dimensional detection technology system architecture for air-ground-well. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0025] like Figure 1 As shown, this invention provides a method for three-dimensional transient electromagnetic detection of low-resistivity ore bodies via air-to-ground-to-well transitions, comprising: Step 1: Conduct airborne transient electromagnetic measurements, ground transient electromagnetic measurements, and ground-to-well transient electromagnetic measurements to acquire airborne data, ground data, and ground-to-well data, respectively. Process the data using each method to obtain the processed airborne data, ground data, and ground-to-well data. In addition, after processing, the processed aerial data, surface data and ground-well data were inverted and interpreted to verify the inversion effect; Step 2: Perform multi-source data quality control and data integration on the processed aerial data, surface data, and ground-well data to obtain a multi-source dataset; Step 3: Conduct joint air-ground-well inversion based on multi-source datasets to construct a three-dimensional electrical model of the working area; Step 4: Based on the three-dimensional electrical model, combined with multi-source geological information, conduct comprehensive geological-geophysical interpretation to predict and verify the target area of ​​the survey area.

[0026] Based on the above methods, a three-dimensional transient electromagnetic detection technology system integrating air, ground, and well can be constructed, such as... Figure 4 As shown, it specifically includes three main parts: preliminary preparation, stereoscopic detection, and joint inversion and interpretation. Stereoscopic detection corresponds to steps 1 and 2 of the aforementioned method, while joint inversion and interpretation corresponds to step 3. The preliminary preparation part will be described in detail below: The preliminary preparation consists of five core modules: forward modeling, noise suppression, demonstration area data collection, inversion and joint inversion, and collaborative measurement scheme development. These modules aim to lay a solid foundation for subsequent precise detection through thorough preliminary work. Each module will be described in detail below: 1. Forward Modeling Module: This module utilizes numerical simulation methods to perform three-dimensional forward modeling for three transient electromagnetic methods: airborne, surface, and ground-to-well. It analyzes the response characteristics of different low-resistivity orebody models, considering variations in occurrence, scale, and depth. This precise forward modeling technology provides a theoretical basis for subsequent inversion and construction parameter design.

[0027] 2. Multi-source noise suppression module: This module employs differentiated noise suppression techniques tailored to the data characteristics of different observation platforms (air, ground, and well). For example, airborne platforms focus on suppressing motion noise, atmospheric noise, and power frequency noise, while ground and well-based platforms prioritize eliminating power frequency interference and human-generated noise. Methods such as filtering, wavelet transform, and empirical mode decomposition can be applied individually or in combination to effectively remove or suppress various types of noise.

[0028] 3. Inversion and Joint Inversion Module: This module runs throughout the entire data processing process, independently inverting transient electromagnetic data collected from airborne, ground, and borehole sources to obtain the corresponding subsurface electrical distribution models for each method. Based on this, joint inversion of multi-source data from airborne, ground, and borehole sources is conducted, unifying the three types of data under the same inversion framework for collaborative calculation.

[0029] Independent inversion can provide a preliminary understanding of the response characteristics and detection effects of various methods on subsurface anomalies. Joint inversion, on the other hand, can fully leverage the complementary advantages of different data sources—airborne data provides regional background information, surface data finely characterizes the anomaly morphology, and borehole data constrains vertical electrical variations. Joint inversion results can effectively reduce the ambiguity of single-method inversion, improve the ability to identify weak signals at depth, and ultimately obtain a three-dimensional electrical model with higher resolution, more reasonable structure, and better fit with the geological background, providing a reliable basis for subsequent orebody location and target area prediction.

[0030] 4. Demonstration Area Data Collection Module: Collect basic data such as geology, borehole data, and physical properties of typical mining areas, and conduct on-site surveys of the demonstration area to understand the actual situation of the site, including topography, geological conditions, and human interference, so as to provide a basis for the subsequent development of a scientific and reasonable air-ground-well collaborative measurement and construction plan.

[0031] 5. Collaborative Measurement Scheme Development Module: Based on the results of forward modeling and the field survey data of the demonstration area, develop a detailed collaborative measurement implementation plan for air-ground-well, clarifying the measurement parameters, network layout, construction sequence and technical requirements for each method.

[0032] Next, we will elaborate on the four steps in detail.

[0033] like Figure 2 As shown, in step 1, airborne transient electromagnetic measurements, ground-based transient electromagnetic measurements, and ground-to-well transient electromagnetic measurements are conducted to acquire airborne data, ground data, and ground-to-well data, respectively. These data are then processed to obtain the processed airborne data, ground data, and ground-to-well data, which are described below: 1. Airborne transient electromagnetic measurement and data processing Large-scale, high-precision airborne transient electromagnetic measurements were carried out in the demonstration area. The measurement scheme (such as flight altitude, survey line spacing, and transmission fundamental frequency) was optimized based on the simulation results prepared in the early stage. The aim was to efficiently delineate the range of low-resistivity anomalies in the area, preliminarily delineate prospective mineral exploration areas, and simultaneously record key airborne parameters during the measurement process to obtain airborne data, ensuring the integrity and traceability of the data. The aerial data undergoes noise suppression for motion, atmospheric noise, power frequency interference, and human noise. Background field removal is then performed, followed by superposition and channel extraction. Flight altitude and attitude corrections are then implemented. The background field removal process is described in detail below: In ideal conditions, the secondary field response reflecting the information of the underground medium can be obtained by directly removing the primary field signal from the receiving coil in the time-domain airborne electromagnetic method. However, in actual work, the influence of the aircraft and instruments on the signal must also be considered. The sum of the primary field signal, the signal induced by the aircraft and instruments themselves, and the additional noise signal caused by the slight vibration of the aircraft's metal skin is called the background field. Since the transmission and reception distance of airborne electromagnetic measurement is small, the amplitude of the background field signal is much higher than that of the secondary field signal. Moreover, the background field signal does not contain information about the underground medium. Therefore, the background field signal in the receiving coil must be removed in order to obtain the secondary field response containing information about the underground medium. The processed aerial data is inverted to obtain a resistivity or polarizability model for the survey area. The resistivity or polarizability model is then compared with known geological data to verify the inversion effect and delineate key anomaly areas.

[0034] The key aviation parameters include GPS coordinates, flight altitude, transmission current, and observation time.

[0035] 2. Ground-based transient electromagnetic measurement and data processing A high-precision ground transient electromagnetic measurement network is deployed within the designated key anomaly areas to conduct ground transient electromagnetic measurements. The measurement scheme (such as the size of the transmitting coil, the intensity of the transmitting current, and the observation time window) is optimized based on the simulation results and airborne electromagnetic results prepared in the previous stage. The aim is to accurately characterize the morphology, orientation, and burial depth of the anomaly, and to simultaneously record key ground parameters during the measurement process to obtain ground data, ensuring the integrity and traceability of the data. Ground data is processed to improve data quality by removing power frequency interference, suppressing atmospheric noise, and smoothing attenuation curves. The processed ground data is inverted to obtain a resistivity or polarizability model for the survey area. The resistivity or polarizability model of the survey area is then compared with known geological data to verify the inversion effect, providing a basis for subsequent ground-well surveys, inversions, and joint inversions.

[0036] The key ground parameters include GPS coordinates, transmission current, and observation time.

[0037] 3. Ground-to-well transient electromagnetic measurement and data processing Based on the combined results of airborne and ground-based transient electromagnetic measurements, new boreholes are laid out or existing boreholes are utilized in locations with the greatest mineral exploration potential to conduct ground-to-well transient electromagnetic measurements. This detects whether blind ore bodies exist near and at the bottom of the well, while simultaneously acquiring detailed vertical electrical distribution information of the ore body. Key ground-to-well parameters are recorded concurrently during the measurement process to obtain ground-to-well data, ensuring the integrity and traceability of the data. Noise suppression and probe position correction are performed on the ground-well data to improve data quality; The processed ground-well data is inverted to obtain resistivity or polarizability models around and deep within the borehole. These models are then compared with known geological data to verify the inversion effect and provide vertical constraints for the spatial positioning of ore bodies.

[0038] The key parameters for the ground-well configuration include GPS coordinates, transmission current, and observation time.

[0039] In step 2, multi-source data integration is performed on the processed aerial data, surface data, and ground-well data, specifically as follows: This includes establishing a unified coordinate system and elevation datum, and paying special attention to overlapping areas within the measurement region; The three types of processed data are unified under the same spatial coordinate system to form a standardized multi-source dataset, providing a data foundation for subsequent joint inversion.

[0040] In step 3, a joint air-ground-well inversion is performed based on multi-source datasets to construct a three-dimensional electrical model of the working area, specifically as follows: By comparing resistivity or polarizability models from airborne data, surface data, and ground-well data, and comparing them with known geological data, the inversion effects of each method are preliminarily evaluated, and their advantages and limitations are clarified. A multi-data joint inversion method was adopted, which integrates airborne data, surface data and ground-well data into the inversion framework. The inversion model was then iteratively corrected and optimized by combining prior geological information and borehole physical property data to obtain a three-dimensional geoelectric model.

[0041] The core of the joint inversion process lies in constructing a unified objective function that couples data from different sources and with different sensitivities, as well as prior geological information, into an inversion framework, and approximates the real underground electrical structure through iterative optimization.

[0042] In step 4, a comprehensive geological-geophysical interpretation is carried out based on the three-dimensional electrical model and combined with multi-source geological information, specifically as follows: Import the 3D geoelectric model into the 3D visualization platform to construct a 3D geological-geophysical model of the work area, thereby achieving an intuitive presentation of the underground structure. In a three-dimensional geological-geophysical model, we analyze the spatial morphology, occurrence, scale, and spatial relationship with fault structures of low resistivity anomalies. Combined with polarizability information, we determine their mineralization and establish a resistivity-orebody joint model to intuitively reveal the enrichment pattern of ore bodies controlled by fault structures. Based on the comprehensive analysis results of the three-dimensional geological-geophysical model and the resistivity-orebody joint model, the location of the next mineral exploration target area or verification borehole can be accurately predicted.

[0043] This invention also provides a schematic diagram of a three-dimensional collaborative detection method using air-to-ground-to-well transient electromagnetic methods, such as... Figure 3 As shown, the system includes an airborne TEM, a surface TEM, and a well-drilled TEM, used to collect airborne data, surface data, and well-drilled data, respectively. The surface TEM includes a magnetometer, a receiver, a generator, and a transmitter. The generator is connected to the transmitter, and the magnetometer is connected to the receiver, used to collect surface data. The well-drilled TEM includes a receiving system Rx, a transmitting system Tx, and a receiving probe. The receiving probe is installed inside the well. The transmitting system Tx transmits signals to it, which are received by the receiving probe and collected by the receiving system Rx to obtain well-drilled data.

[0044] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0045] 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.

[0046] 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.

[0047] Contents not described in detail in this specification are prior art known to those skilled in the art. It is hereby indicated that the above description is intended to help those skilled in the art understand this invention, but does not limit the scope of protection of this invention. Any equivalent substitutions, modifications, improvements, or simplifications of the above descriptions that do not depart from the essential content of this invention fall within the scope of protection of this invention.

Claims

1. A three-dimensional transient electromagnetic detection method for low-resistivity ore bodies via air-to-ground-to-well transitions, characterized in that, include: Step 1: Conduct airborne transient electromagnetic measurements, ground transient electromagnetic measurements, and ground-to-well transient electromagnetic measurements to acquire airborne data, ground data, and ground-to-well data respectively. Process the data using each method to obtain the processed airborne data, ground data, and ground-to-well data. Step 2: Perform multi-source data quality control and data integration on the processed aerial data, surface data, and ground-well data to obtain a multi-source dataset; Step 3: Conduct joint air-ground-well inversion based on multi-source datasets to construct a three-dimensional electrical model of the working area; Step 4: Based on the three-dimensional electrical model, combined with multi-source geological information, conduct comprehensive geological-geophysical interpretation to predict and verify the target area of ​​the survey area.

2. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 1, characterized in that, In step 1, airborne transient electromagnetic measurements are conducted to acquire airborne data, which is then processed, specifically as follows: Large-scale, high-precision measurement methods were used to conduct airborne transient electromagnetic measurements in the work area, and key airborne parameters were recorded simultaneously during the measurement process to obtain airborne data. The aviation data is subjected to noise suppression of motion, atmospheric noise, power frequency interference, and human noise. After superposition and channel extraction, flight altitude and attitude correction are performed. The processed aerial data is inverted to obtain a resistivity or polarizability model for the survey area. The resistivity or polarizability model is then compared with known geological data to verify the inversion effect and delineate key anomaly areas.

3. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 2, characterized in that, The key aviation parameters include transmitting coil current, area and number of turns, observation time, receiving coil parameters and GPS coordinates, flight altitude, and receiving coil altitude.

4. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 2, characterized in that, In step 1, ground transient electromagnetic measurements are conducted to acquire ground data, and this data is then processed, specifically as follows: Deploy a high-precision ground transient electromagnetic measurement network within the designated key anomaly areas, conduct ground transient electromagnetic measurements, and simultaneously record key ground parameters during the measurement process to obtain ground data; Ground data is processed by power frequency interference removal, atmospheric noise suppression, and attenuation curve smoothing. The processed ground data is inverted to obtain the resistivity or polarizability model of the survey area, and the resistivity or polarizability model of the survey area is compared with known geological data to verify the inversion effect.

5. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 4, characterized in that, The key ground parameters include GPS coordinates, transmission current, and observation time.

6. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 4, characterized in that, In step 1, transient electromagnetic measurements are conducted between the surface and the wellbore to acquire surface-well data, which is then processed as follows: Based on the combined results of airborne and ground-based transient electromagnetic measurements, new boreholes are drilled or existing boreholes are utilized in locations with the greatest mineral exploration potential to conduct ground-well transient electromagnetic measurements. Key ground-well parameters are recorded simultaneously during the measurement process to obtain ground-well data. Noise suppression and probe position correction are performed on the ground-well data; The processed ground-well data is inverted to obtain resistivity or polarizability models around and deep within the borehole, and the inversion effect is verified by comparing them with known geological data.

7. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 6, characterized in that, The key ground-well parameters include GPS coordinates, transmission current, and observation time.

8. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 6, characterized in that, In step 2, the processed aerial data, surface data, and ground-well data are integrated from multiple sources, specifically as follows: The processed aerial data, ground data, and ground-well data are integrated, including establishing a unified coordinate system and elevation datum, and focusing on the overlapping parts of the measurement area; The three types of data, once processed, are unified under the same spatial coordinate system to form a multi-source dataset.

9. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 8, characterized in that, In step 3, a joint air-ground-well inversion is performed based on multi-source datasets to construct a three-dimensional electrical model of the working area, specifically as follows: The resistivity or polarizability models of airborne data, surface data, and ground-well data were compared and analyzed with known geological data to preliminarily evaluate the inversion effect of each method. A multi-data joint inversion method was adopted, which integrates airborne data, surface data and ground-well data into the inversion framework. The inversion model was then iteratively corrected and optimized by combining prior geological information and borehole physical property data to obtain a three-dimensional geoelectric model.

10. The air-to-ground-to-well transient electromagnetic three-dimensional detection method for low-resistivity ore bodies according to claim 8, characterized in that, In step 4, a comprehensive geological-geophysical interpretation is carried out based on the three-dimensional electrical model and combined with multi-source geological information, specifically as follows: Import the 3D geoelectric model into the 3D visualization platform to construct a 3D geological-geophysical model of the work area; In a three-dimensional geological-geophysical model, the spatial morphology, occurrence, scale and spatial relationship with fault structures of low resistivity anomalies are analyzed. Their mineralization is judged by combining polarizability information, and a resistivity-orebody joint model is established. Based on the comprehensive analysis results of the three-dimensional geological-geophysical model and the resistivity-orebody joint model, the location of the next mineral exploration target area or verification borehole can be accurately predicted.

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