Salt lake brine reservoir identification method

Abstract

The invention relates to the technical field of salt lake exploration, in particular to a salt lake brine reservoir identification method, which comprises the following steps of: 1, collecting and analyzing geological data; 2, exploring by adopting a ground nuclear magnetic resonance method; step 3, exploration is carried out by using a transient electromagnetic method; 4, exploring by adopting a seismic reflection wave method; 5, according to the exploration result condition, drill hole arrangement and sampling are carried out; and step 6, analyzing the sample and obtaining a result. According to the salt lake brine reservoir identification method, all links are closely connected, linked with one another and cooperatively matched with one another. The result of the previous step provides basis and guidance for the subsequent steps, for example, the drilling position is determined according to the exploration result, sample analysis depends on the samples collected by drilling, the whole process forms an organic whole, the systematicness is very high, orderly development in the actual operation process is facilitated, and the working efficiency is improved. And workers with different professional backgrounds can efficiently complete salt lake brine reservoir identification work according to a set process.

Description

Technical Field

[0001] The invention relates to the technical field of salt lake exploration, and in particular to a method for identifying a salt lake brine reservoir. Background Art

[0002] Salt lakes are important treasure troves of mineral resources. The intercrystalline brine deposits and loose rock porous brine deposits contain rich resources such as potassium, sodium, magnesium, lithium, boron, bromine, and iodine, which are of great significance for supporting the development of the salt lake industry. At present, the reservoir identification methods for this type of deposits are mainly based on traditional methods such as drilling verification, core logging, and pumping tests. However, these methods have certain limitations. For example, core logging is greatly affected by the subjective understanding of the loggers, and can only qualitatively judge the effectiveness of the reservoir, but cannot quantitatively judge the effectiveness of the salt lake brine reservoir, making it difficult to accurately identify the effective salt lake brine reservoir. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In view of the deficiencies in the prior art, the present invention provides a method for identifying a salt lake brine reservoir.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solutions: 1. A method for identifying a salt lake brine reservoir, characterized in that it comprises the following steps:

[0007] Step 1: Collect and analyze geological data: collect existing geological data in the target salt lake area, systematically sort out and analyze the geological structure background, stratigraphic distribution characteristics, and sedimentary environment evolution of the salt lake, and preliminarily define the approximate area where brine reservoirs may exist;

[0008] Step 2: Exploration using ground nuclear magnetic resonance method;

[0009] Step 3: Use transient electromagnetic method to conduct exploration;

[0010] Step 4: Use seismic reflection wave method to conduct exploration;

[0011] Step 5: Arrange drilling holes and take samples according to the exploration results;

[0012] Step 6: Analyze the samples and obtain the results.

[0013] Preferably, the specific steps of step 2 include:

[0014] Step a1: According to the topography and geomorphology of the salt lake area, the direction of geological structure and the possible range of brine reservoirs preliminarily delineated in the early stage, measuring points are arranged in the salt lake area according to a regular survey line grid. The distance between adjacent measuring points on the plane is set to [X1] meters - [Y1] meters according to the size of the salt lake area and the complexity of the geology, ensuring that the coverage of the measuring points can effectively reflect the underground conditions of the entire target area;

[0015] Step a2: Use a ground nuclear magnetic resonance instrument to carry out measurement work. Before measurement, set the excitation pulse parameters and the acquisition time according to the estimated detection depth and the characteristics of the underground medium;

[0016] Step a3: The water content data at different depths of each measuring point are obtained through the instrument, and a three-dimensional distribution model of underground water content is obtained after processing.

[0017] Preferably, the specific steps of step 3 include:

[0018] Step b1, arranging the transmitting and receiving coils along a pre-set survey line that matches the ground nuclear magnetic resonance survey line, and reasonably adjusting the transmitting current intensity according to the depth of the exploration target and the approximate range of resistivity of the underground strata;

[0019] Step b2, operate the instrument to collect resistivity data of underground strata at different locations, draw a resistivity profile, analyze the abnormal resistivity change area in the resistivity profile, and compare it with the water content distribution result obtained by the ground nuclear magnetic resonance method, so as to further narrow the spatial scope of the possible brine reservoir and identify a more accurate potential brine reservoir target area.

[0020] Preferably, the specific steps of step 4 include:

[0021] Step c1, reasonably arrange seismic detectors and seismic sources in the salt lake area, and select appropriate excitation methods according to the conditions of the exploration site and the target depth requirements;

[0022] Step c2, record the reflection signal generated by the seismic wave during the underground propagation process. After collecting the original seismic data, perform filtering processing in sequence to remove high-frequency and low-frequency noise interference, superposition processing to enhance the effective reflection signal, and offset processing to return the underground geological structure to the real space position, etc., to finally generate a high-precision seismic reflection profile and finally determine the priority area for drilling layout.

[0023] Preferably, in step 6, sample analysis includes core analysis and brine analysis.

[0024] Preferably, the core analysis includes laboratory analysis of the collected core samples, including determination of mineral composition and content by X-ray diffraction (XRD) technology, observation of microstructure and pore characteristics by optical microscope, and analysis of pore morphology, size and connectivity by scanning electron microscope (SEM), and calculation of the porosity and permeability of the core samples based on the analysis results.

[0025] Preferably, the brine analysis includes conducting chemical analysis on brine samples, determining the concentration of various ions in the brine, analyzing the brine's physical and chemical properties such as pH value, mineralization, density, and classifying the water chemistry types.

[0026] (III) Beneficial effects

[0027] Compared with the prior art, the present invention provides a salt lake brine reservoir identification method, which has the following features:

[0028] Beneficial effects:

[0029] The salt lake brine reservoir identification method first collects and analyzes geological data for preliminary judgment, then conducts a variety of geophysical explorations in sequence to further lock the target area, then arranges the drilling and collects samples reasonably based on the exploration results, and finally conducts a comprehensive and in-depth analysis of the samples. Each link is closely linked, interconnected, and coordinated. The results of the previous step provide a basis and guidance for subsequent steps. For example, the exploration results determine the drilling location, and the sample analysis depends on the samples collected from the drilling. The whole process forms an organic whole, embodies a strong systematic nature, facilitates the orderly development of the actual operation process, and enables staff with different professional backgrounds to efficiently complete the salt lake brine reservoir identification work according to the established process;

[0030] This method is applicable to the identification of brine reservoirs in salt lakes of various types and sizes. Whether it is a large salt lake with complex geological structure or a relatively small salt lake with relatively simple structure, this method can be used to fully understand the brine reservoir situation. And its ultimate goal is to serve the rational development and utilization of salt lake resources, and to provide a reliable basis for subsequent mining and other industrial activities by accurately identifying effective reservoirs. DETAILED DESCRIPTION

[0031] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] The existing geological data of the target salt lake area are collected from multiple channels, including archived data from geological and mineral resources departments, past salt lake exploration and research reports, and relevant scientific research results from universities and research institutions. The collected data include regional geological maps (displaying macro information such as the geotectonic units and stratigraphic distribution overview of the salt lake area), detailed stratigraphic columnar maps (clarifying the lithology and thickness of strata at different depths), previous drilling records (including drilling location, depth, and corresponding core descriptions), historical seismic exploration data (reflecting the preliminary detection results of underground geological structures), and research papers on the formation of salt lakes and the evolution of sedimentary environments.

[0033] Organize a professional geological team to conduct in-depth interpretation and systematic sorting of the collected data. Analyze the regional geological map to determine the tectonic position of the salt lake (for example, whether it is in the stable zone inside the plate or the active zone at the edge of the plate, etc.), as well as the boundaries of the surrounding major tectonic units (such as the distribution of structural lines such as faults and folds). This is very important for understanding the formation of the salt lake and the influence of the structure on the brine reservoir; based on the stratigraphic column chart and drilling records, summarize the sedimentary environment characteristics of different geological historical periods in the salt lake (freshwater lake phase deposition, saltwater lake phase deposition or other special sedimentary environments, etc.), as well as the laws of stratigraphic lithology changes in each period, and then infer the stratigraphic intervals where brine may be enriched; through the re-analysis of historical seismic exploration data, identify the possible deep geological structural characteristics (such as hidden faults, stratum fluctuations, etc.), these structures often have an important impact on the migration and storage of brine.

[0034] Based on the above analysis results, the approximate area where brine reservoirs may exist is preliminarily delineated. The delineation of this range should take into account factors such as the overall shape of the salt lake, the size of the area, and the complexity of the geological structure. For example, for salt lakes with large areas and complex geological structures, the initial range may be relatively broad, but the focus will be on areas with favorable sedimentary environments and structural conditions (such as areas located in depressions, close to fault zones, and with suitable lithological strata distribution, etc.), so as to narrow the target area for subsequent geophysical exploration.

[0035] Step 2: Ground NMR exploration:

[0036] Step a1: Measurement point arrangement:

[0037] According to the actual topography of the salt lake area (such as whether it is flat and open, whether there are large areas of low-lying or highlands, etc.), and the possible range of brine reservoirs that have been preliminarily delineated through geological data analysis, the measuring points are arranged in the salt lake area according to a regular survey line grid. The spacing between adjacent measuring points on the plane should be reasonably set according to the size of the salt lake area and the complexity of the geology. Generally speaking, for salt lakes with a small area and relatively simple geology, the spacing can be appropriately reduced and set to about [X1] meters; for salt lakes with a large area and complex geological structures, the spacing can be appropriately expanded to [Y1] meters, but it is necessary to ensure that the coverage of the measuring points can fully and effectively reflect the underground conditions of the entire target area to avoid the occurrence of blank detection areas, just like casting a net evenly in an area to ensure that the mesh size is appropriate to cover all places where "treasures" (brine reservoirs) may be hidden.

[0038] Step a2: Measurement parameter setting and measurement:

[0039] Use professional ground-based nuclear magnetic resonance instruments to carry out measurements. Before measurement, the excitation pulse parameters should be reasonably set based on the estimated detection depth (refer to the analysis of salt lake sediment thickness in previous geological data and empirical data of similar salt lakes) and the characteristics of the underground medium (such as the water content and porosity of different strata). The excitation pulse parameters include pulse moment range, pulse sequence type (common ones include Carr-Purcell-Meiboom-Gill sequence, etc., which are selected according to instrument performance and actual needs) and pulse repetition time. The settings of these parameters directly affect the quality and depth resolution of the measurement signal; at the same time, the acquisition time is set. The acquisition time needs to be long enough to ensure that complete and reliable water content information echo signals reflected from different depths can be received. For example, depending on the detection depth and the complexity of the underground medium, the acquisition time can be set from several minutes to tens of minutes.

[0040] Step a3: Data processing and model generation:

[0041] After obtaining the water content data at different depths of each measuring point through the instrument, the inversion processing is performed using professional supporting data processing software. This processing process is based on complex mathematical algorithms, which converts the collected original time domain signals into a three-dimensional distribution model that can intuitively reflect the spatial distribution of underground water content. This model can show the changes in water content at different locations and depths like a three-dimensional map. It is clear at a glance where the water content is high and where the water content is low. Areas with high water content are often places where brine enrichment is more likely, providing an intuitive basis for subsequent further analysis.

[0042] Step 3: Transient electromagnetic survey:

[0043] Step b1: Coil layout and parameter adjustment:

[0044] The transmitting and receiving coils are arranged along the pre-set survey line that matches the ground nuclear magnetic resonance survey line to ensure that the measurement areas of the two methods can correspond to and cover each other, which is convenient for the comprehensive comparative analysis of subsequent data. According to the depth of the exploration target (that is, the depth range where the brine reservoir is expected to be detected, which can be estimated by referring to the previous geological data) and the approximate range of resistivity of the underground formation (which can also be judged from the existing geological knowledge or experience in similar areas), the emission current intensity is reasonably adjusted. The magnitude of the emission current intensity determines the intensity of the emitted electromagnetic field, which in turn affects the detection depth and the accuracy of the resolution of the formation resistivity. For example, for deeper target depths or formations with smaller resistivity changes, the emission current intensity needs to be appropriately increased. Generally, its range will be set within a certain numerical range according to the instrument performance and actual conditions to ensure that the collected underground formation resistivity data is accurate and can effectively reflect the electrical differences at different depths.

[0045] Step b2: Data collection and analysis comparison:

[0046] Operate the instrument to collect resistivity data of underground strata at different locations. During the collection process, strictly follow the instrument operation specifications to ensure the accuracy and stability of the data. After the collection is completed, use professional data processing and interpretation software to process the data and draw a resistivity profile. The profile shows the changes in resistivity of strata at different locations and depths underground in an intuitive graphical form. By carefully analyzing the abnormal resistivity change areas in the resistivity profile, such as the appearance of obvious low resistivity areas, this may indicate the presence of brine-enriched or high-porosity, water-rich strata; then compare and analyze it with the water content distribution results obtained by the ground nuclear magnetic resonance method to find out those overlapping areas with high water content and abnormal resistivity, further narrow the spatial range of possible brine reservoirs, and delineate more accurate potential brine reservoir target areas, just like locking the exact location of the treasure in the intersection area pointed by two clues.

[0047] Step 4: Seismic reflection wave exploration:

[0048] Step c1: Equipment layout and excitation method selection:

[0049] In the salt lake area, seismic detectors and sources should be reasonably arranged. Seismic detectors should be evenly distributed in predetermined positions according to a certain arrangement (such as linear arrangement, grid arrangement, etc., determined according to the shape of the exploration area and the target accuracy requirements) to ensure that seismic wave reflection signals can be fully received. The selection of the source should determine the appropriate excitation method based on the conditions of the exploration site and the target depth requirements. If the exploration site is open, far away from environmentally sensitive areas such as residential areas, and the detection depth is required to be deep, an explosive source can be selected to control the amount of explosives (the amount is determined within a suitable range based on factors such as target depth, formation characteristics, and safety regulations) to excite seismic waves of sufficient intensity; when it is located in the vicinity of the city, the environment requirements are high, or there are other restrictions, a controllable source is used. By adjusting the vibration frequency, scanning length and other parameters of the controllable source, it can generate appropriate seismic waves that meet the exploration needs, ensuring that seismic waves can be effectively excited without causing adverse effects on the surrounding environment.

[0050] Step c2: Data processing and drilling area determination:

[0051] The reflected signals generated by seismic waves during underground propagation are recorded. After the original seismic data is collected, professional seismic data processing software is used to perform filtering processing in sequence to remove high-frequency and low-frequency noise interference in the original data (high-frequency noise may come from the instrument itself, external electromagnetic interference, etc., and low-frequency noise may be related to factors such as surface vibration), so that the effective reflection signal is clearer; then superposition processing is performed to superimpose the reflected signals collected by multiple excitations to enhance the intensity of the effective reflection signal and improve the signal-to-noise ratio; finally, offset processing is performed to return the underground geological structure to the real spatial position, eliminate the structural illusion caused by the different propagation paths of seismic waves, and finally generate a high-precision seismic reflection profile, which can clearly show the underground geological structure morphology (such as the ups and downs of the strata, the location and occurrence of faults and other detailed information), stratigraphic stratification (accurately divide the interface of different lithological strata) and possible geological anomalies (such as special geological structures such as karst caves and salt domes). Through comprehensive analysis of seismic reflection profiles and combined with the results of previous ground nuclear magnetic resonance and transient electromagnetic methods, the priority areas for drilling layout were finally determined. These areas usually have geological structures that are conducive to brine storage and have obvious correlations with brine reservoirs in geophysical characteristics, such as places where there are depression structures in the formation and where resistivity and water content data show signs of brine enrichment.

[0052] Step 5: Drilling layout and sampling:

[0053] According to the complexity of geological structures in the priority areas determined by the above-mentioned geophysical exploration and geological data analysis, and the distribution of brine reservoirs (including the approximate thickness of the reservoir, depth range, and lateral change trend, etc.), the hydrogeological boreholes are arranged scientifically and reasonably. The spacing between boreholes should be controlled according to the uniformity and degree of change of the strata in the area. For areas with relatively uniform strata and small changes, the spacing between boreholes can be appropriately increased; while for areas with complex strata changes and large differences in the distribution of brine reservoirs, the spacing between boreholes should be reduced, generally set within a suitable numerical range, to ensure that the boreholes can effectively penetrate the key stratigraphic intervals where brine reservoirs may exist, so as to obtain comprehensive and representative samples. The depth of the borehole also needs to be estimated and determined by comprehensively considering the thickness of salt lake deposits, the target depth revealed by previous geophysical exploration, and the possible deep brine reservoirs. The deepest borehole depth must ensure that it can reach the deepest possible position of the brine reservoir. For example, according to the actual conditions of different salt lakes, the deepest borehole may reach a depth of tens of meters or even hundreds of meters.

[0054] During the drilling process, special coring equipment is used to collect cores. Core samples are collected every certain depth interval (determined according to the changes in the lithology of the formation and the requirements for analysis accuracy, such as every 1-2 meters). Complete and continuous cores are taken using core tubes of appropriate specifications, and the cores are marked on site in a timely manner. The marking content covers key information such as the borehole number, sampling depth, sampling time, and the approximate orientation of the core. The cores are then placed in a pre-prepared sealed container for sealed storage to prevent the samples from being contaminated by external factors such as air and moisture, as well as the loss of their own moisture, to ensure that the core samples can truly reflect the original characteristics of the formation in which they are located. At the same time, specially designed brine sampling devices are used to collect brine samples for different aquifer locations in each borehole. Strict anti-pollution measures are taken during the sampling process to avoid contact between brine samples and air, and to prevent oxidation, volatilization and other changes in brine components. After collection, the brine samples are quickly transferred to pre-treated sample bottles (such as pre-cleaning, drying, filling with inert gas, etc. to ensure that the internal environment of the sample bottle is pure and stable), and the sampling depth, sampling time and corresponding borehole number and other information are recorded in detail to ensure that the collected brine samples are accurate and representative, and can be used for subsequent comprehensive chemical and physical properties analysis.

[0055] Step 6: Sample analysis and result acquisition:

[0056] Core Analysis:

[0057] X-ray diffraction (XRD) technical analysis:

[0058] The collected core samples are brought back to the laboratory and crushed in a ventilated, dry and clean environment until the particle size range meets the test requirements of the X-ray diffractometer (generally about tens of microns). The powder samples are prepared into flat and uniform sample pieces using professional sample preparation methods and placed in the X-ray diffractometer for scanning analysis. Before scanning analysis, the scanning parameters are reasonably set according to the types of minerals that may be contained in the core samples and the expected diffraction peak range. For example, the scanning range is usually set between 5°-70°2θ, the scanning speed is controlled at an appropriate value (such as a few degrees per minute), and the tube voltage and tube current are also set to the values ​​recommended by the instrument for the analysis of the sample (such as tube voltage 30-60 kV, tube current 20-50 mA, etc.). By analyzing the diffraction patterns and using professional mineral identification software and related standard card libraries, we can accurately determine the mineral composition of the rock and the relative content of each mineral. We can also record in detail the main mineral components (such as clay minerals, salt minerals, etc.) and their approximate content ranges in strata at different depths. For example, the quartz content in a stratum at a certain depth is [X]%-[Y]%, and the calcite content is [specific content range]. This mineral composition information is crucial for subsequent research on the interaction between rocks and brine.

[0059] Optical microscope observation:

[0060] Carefully select representative parts from the collected core samples to make thin sections. The thin section making process strictly follows the standard specifications for rock thin section making to ensure that the thickness of the thin section is uniform (generally around 0.03 mm) and can clearly present the microscopic structural characteristics of the rock. The prepared thin sections are placed under an optical microscope for observation. During the observation process, by adjusting the magnification of the microscope (from low to high magnification, such as 100 to 1000 times, etc., switch to observe different magnifications), carefully measure the particle size distribution of the rock (count the number of particles in different particle size intervals, and the particle size intervals can be divided into [specific particle size interval division examples] according to the characteristics of the rock), particle shape (describe the appearance characteristics of the particles, such as round, angular, etc.), pore morphology (observe whether the pores are round, elongated or irregular, etc.) and other parameters. At the same time, the image acquisition system equipped with the microscope is used to collect images of rock microstructures under different fields of view, and professional image analysis software is used to process and statistically analyze the collected images, so as to accurately count the number and size distribution of pores (draw a pore size distribution histogram to intuitively display the concentrated range of pore size, for example, the pore size is mainly concentrated in the [specific pore size range, such as 1-100 microns] interval), providing intuitive and accurate microstructural basis for the subsequent evaluation of rock porosity and permeability.

[0061] Scanning Electron Microscope (SEM) Analysis:

[0062] The selected core samples are treated with gold spraying, and the thickness of the gold spraying is controlled at an appropriate value (such as about 10-20 nanometers) to improve the conductivity of the sample surface so that it can obtain clear imaging effects under a scanning electron microscope. The gold-sprayed samples are placed in a scanning electron microscope, and under a high vacuum environment, the acceleration voltage of the electron beam (usually set between 5-30 kilovolts, adjusted according to the characteristics of the sample and the degree of detail expected to be observed), the working distance (generally within the range of 5-15 mm) and other parameters are adjusted to observe the finer structural characteristics of the rock pores with high resolution, focusing on analyzing the connectivity of the pores (determining whether the pores are interconnected and the degree of connectivity, such as describing it with indicators such as the proportion of connected pores to the total pores), the roughness of the pore wall (describing whether the pore wall is smooth or rough, etc.) and other characteristics. Combining the pore-related data obtained by optical microscope observation and image analysis, using professional pore structure analysis software, according to the corresponding physical model (such as the Kozeny-Carman equation and other models suitable for the permeability calculation of porous media), the porosity of the core samples is calculated to be between [porosity numerical range] and the permeability is within [permeability numerical range]. This can comprehensively evaluate the differences in the storage and seepage capacity of different formations for brine, and provide key physical parameter basis for the subsequent comprehensive evaluation of brine reservoirs.

[0063] Brine analysis:

[0064] Ion concentration determination:

[0065] The collected brine samples are first pretreated appropriately in the laboratory. If there are suspended impurities in the samples, they need to be filtered (using a filter membrane with a suitable pore size, such as 0.45 micron or 0.22 micron filter membrane for filtration) to remove the impurities. For some samples with too high ion concentrations, subsequent instrument measurements are performed.

[0066] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0067] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0068] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for identifying a salt lake brine reservoir, characterized in that: The steps include: Step 1: Collect and analyze geological data: collect existing geological data in the target salt lake area, systematically sort out and analyze the geological structure background, stratigraphic distribution characteristics, and sedimentary environment evolution of the salt lake, and preliminarily define the approximate area where brine reservoirs may exist; Step 2: Exploration using ground nuclear magnetic resonance method; Step 3: Use transient electromagnetic method to conduct exploration; Step 4: Use seismic reflection wave method to conduct exploration; Step 5: Arrange drilling holes and take samples according to the exploration results; Step 6: Analyze the samples and obtain the results.

2. A salt lake brine reservoir identification method according to claim 1, characterized in that: The specific steps of step 2 include: Step a1: According to the topography and geomorphology of the salt lake area, the direction of geological structure and the possible range of brine reservoirs preliminarily delineated in the early stage, measuring points are arranged in the salt lake area according to a regular survey line grid. The distance between adjacent measuring points on the plane is set to [X1] meters - [Y1] meters according to the size of the salt lake area and the complexity of the geology, ensuring that the coverage of the measuring points can effectively reflect the underground conditions of the entire target area; Step a2: Use a ground nuclear magnetic resonance instrument to carry out measurement work. Before measurement, set the excitation pulse parameters and the acquisition time according to the estimated detection depth and the characteristics of the underground medium; Step a3: The water content data at different depths of each measuring point are obtained through the instrument, and a three-dimensional distribution model of underground water content is obtained after processing.

3. A salt lake brine reservoir identification method according to claim 2, characterized in that: The specific steps of step 3 include: Step b1, arranging the transmitting and receiving coils along a pre-set survey line that matches the ground nuclear magnetic resonance survey line, and reasonably adjusting the transmitting current intensity according to the depth of the exploration target and the approximate range of resistivity of the underground strata; Step b2, operate the instrument to collect resistivity data of underground strata at different locations, draw a resistivity profile, analyze the abnormal resistivity change area in the resistivity profile, and compare it with the water content distribution result obtained by the ground nuclear magnetic resonance method, so as to further narrow the spatial scope of the possible brine reservoir and identify a more accurate potential brine reservoir target area.

4. A salt lake brine reservoir identification method according to claim 3, characterized in that: The specific steps of step 4 include: Step c1, reasonably arrange seismic detectors and seismic sources in the salt lake area, and select appropriate excitation methods according to the conditions of the exploration site and the target depth requirements; Step c2, record the reflection signal generated by the seismic wave during the underground propagation process. After collecting the original seismic data, perform filtering processing in sequence to remove high-frequency and low-frequency noise interference, superposition processing to enhance the effective reflection signal, and offset processing to return the underground geological structure to the real space position, etc., to finally generate a high-precision seismic reflection profile and finally determine the priority area for drilling layout.

5. A salt lake brine reservoir identification method according to claim 4, characterized in that: In step 6, the sample analysis includes core analysis and brine analysis.

6. A salt lake brine reservoir identification method according to claim 5, characterized in that: The core analysis includes laboratory analysis of the collected core samples, including determination of mineral composition and content by X-ray diffraction (XRD) technology, observation of microstructure and pore characteristics by optical microscope, and analysis of pore morphology, size and connectivity by scanning electron microscope (SEM), and calculation of porosity and permeability of the core samples based on the analysis results.

7. A salt lake brine reservoir identification method according to claim 6, characterized in that: The brine analysis includes conducting chemical analysis on brine samples, determining the concentration of various ions in the brine, analyzing the brine's physical and chemical properties such as pH value, mineralization, density, and classifying the water chemistry types.