A method for exploring deep brine potash mine in basin area

Abstract

This invention belongs to the field of mineral exploration technology, specifically a method for exploring deep brine potash deposits in basin areas. The specific steps of this method are as follows: preliminary preparation and basic geological survey of multiple basins; extraction of common mineralization patterns from multiple basins and construction of a general mineralization framework; individual adaptation for single basins and preliminary delineation of favorable mineralization areas; multi-method geophysical exploration and precise screening of favorable areas; drilling verification and optimization of mineralization models; and summary of results and promotion of the multi-basin exploration model. Through the core logic of commonality extraction, individual adaptation, and precise verification, this application not only builds a general mineralization geological framework applicable to different basins, solving the problem of the lack of a general model, but also adapts to the differences in mineralization conditions of different basins by adjusting parameters of single basins.

Description

Technical Field

[0001] This invention relates to the field of mineral exploration technology, specifically a method for exploring deep brine potash deposits in basin areas. Background Technology

[0002] Over 90% of potash is used in the production of potash fertilizer and is also an important raw material in the chemical industry, playing an irreplaceable role in agricultural production and industrial development. my country's potash reserves account for only 5% of the global total, and it has long faced a severe situation of "high dependence on imports, depletion of shallow resources, and unexplored deep resources." In recent years, the dependence on imported potash has remained between 43% and 67%, highlighting the urgent need to increase exploration efforts for deep potash resources, break through resource supply bottlenecks, and build a stable potash resource security system.

[0003] Basin areas are the main habitats of deep brine potash deposits, especially terrestrial sedimentary basins (such as the Qaidam Basin) and marine sedimentary basins (such as the Xuanhan area of ​​Dazhou, Sichuan), which contain abundant deep brine potash resources. These deep brine potash deposits mainly exist in three forms: deep tectonic fracture-pore type, deep gravel-pore type, and deep intercrystalline brine type, with depths generally greater than 300m, reaching 3000m in some areas. This represents a core direction for future potash resource exploration and development in my country. Compared to shallow saline lake brine potash deposits, deep brine potash deposits in basin areas are influenced by multiple factors such as basin tectonic evolution, sedimentary environment changes, and water-rock interactions. They are characterized by complex recharge, runoff, and drainage conditions, low reservoir permeability, weak water-bearing capacity, poor continuity, strong heterogeneity, high mud content, high mineralization, and high viscosity, posing significant challenges to exploration work. Conventional exploration techniques are insufficient to meet the needs of precise exploration. However, existing exploration methods still have the following technical problems during the exploration process: The mineralization conditions of deep brine potash vary significantly across different basins (such as the Sichuan Basin and the Qaidam Basin). Furthermore, the deep strata have undergone multiple tectonic movements, resulting in complex and variable patterns of brine enrichment and migration. A universal metallogenic geological model applicable to different basins has not yet been established, making it difficult to accurately guide the delineation of exploration target areas. Some basins have only developed local exploration models for specific structures (such as the Pingluoba structure), lacking broad applicability.

[0004] Therefore, a method for exploring deep brine potash deposits in basin areas is proposed to address the aforementioned problems. Summary of the Invention

[0005] The purpose of this invention is to provide a method for exploring deep brine potash deposits in basin areas, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for exploring deep brine potash deposits in a basin area, the specific steps of which are as follows: Step 1: Preliminary preparation and basic geological survey of multiple basins: collect and integrate data on the exploration sites, conduct regional geological reconnaissance, and perform preliminary analysis of the commonalities and unique characteristics of multiple basins; Step 2: Extraction of common metallogenic regularities in multiple basins and construction of a general metallogenic framework: Analyze key metallogenic factors, construct a general metallogenic geological framework, and finally integrate and optimize local patterns. Step 3: Individualized Adaptation of Single Basins and Preliminary Delineation of Favorable Mineralization Areas: Detailed analysis of the geological characteristics of single basins, individualized adaptation and adjustment of the general framework, and preliminary delineation of favorable mineralization areas; Step 4: Multi-method geophysical exploration and precise screening of favorable areas: Seismic exploration is carried out in the delineated mining area, followed by electrical exploration, and finally, linkage analysis of well logging data is conducted. Step 5: Drilling verification and metallogenic model optimization: Design and construct drilling projects for the selected mining areas, collect and test samples, and optimize the metallogenic model and confirm the target area. Step Six: Summary of Results and Promotion of Multi-Basin Exploration Model: The exploration results are summarized, the exploration model is promoted and optimized, and finally the technical system is improved based on the entire exploration process.

[0007] Preferably, the detailed steps of step one are as follows: The system collects regional geological reports, previous potash exploration data, oil and gas exploration borehole data, seismic profile data, stratigraphic lithology data and tectonic evolution history data of the target basin, and focuses on sorting out the core information of stratigraphic age, sedimentary environment, structural type and reservoir lithology of different basins to establish a multi-basin geological database to avoid duplicate exploration and data fragmentation. For each target basin, a 1:200,000 scale regional geological reconnaissance was carried out. Combined with remote sensing interpretation, surface profile measurement, route tracing and handheld GPS positioning, the focus was on observing the surface strata exposure, fault structure distribution, salt mineral outcrops and hydrogeological characteristics. The mineralization potential zones of different basins were preliminarily determined, and areas of strong tectonic activity were marked to provide a basis for further refining the exploration scope. By comparing and analyzing geological data from different basins, common mineralization conditions were extracted, individual differences were identified, and the impact of multiple tectonic movements on brine migration and enrichment in different basins was analyzed. Preliminary classification of mineralization types was conducted to provide direction for subsequent targeted exploration.

[0008] Preferably, the detailed steps of step two are as follows: Focusing on the three core mineralization factors of structure, sedimentation, and fluid, the common patterns of different basins are analyzed. Structurally, deep brines are mostly enriched in anticline structural fractures, deep and large fault zones, and secondary basin depressions. Fractures formed by multiple tectonic movements are the core channels for brine migration and storage. Sedimentarily, potassium-rich brines are closely related to saline strata, and reservoir permeability is the key to brine enrichment. Fluidly, the source of brine and the evolution of mineralization have common characteristics, and dissolution is an important mechanism for potassium enrichment in brine. Based on common laws, a general metallogenic framework is established, which is based on tectonic movement controlling reservoir, sedimentary environment controlling source, and fluid migration controlling enrichment. The coupling relationship of the three core elements is clarified. Tectonic movement controls the spatial distribution of reservoir and fracture development, sedimentary environment controls the distribution of saline strata and source supply, and fluid migration controls brine enrichment and grade improvement. At the same time, a customizable interface is reserved so that the weight and parameters of each element can be adjusted according to the specific geological characteristics of different basins. Core data from typical local exploration models of the Pingluoba structure and the Mahai Depression were collected and integrated into a general framework. The generalizable experience of the local models was extracted, the adaptability of the general framework was optimized, the limitations of the local models were avoided, and the exploration approach of general framework and local adjustments was realized.

[0009] Preferably, the detailed steps of step three are as follows: For a single target basin, conduct 1:100,000 or 1:50,000 scale stereo mapping, combine previous borehole data and reconnaissance results to refine stratigraphic lithology, structural distribution, reservoir characteristics and fluid migration patterns, focus on analyzing the specific impact of multiple tectonic movements in the basin, and clarify the mineralization type of the basin; adjust the core parameters of the general mineralization framework according to the refined characteristics of the single basin; Based on the adjusted mineralization logic, remote sensing interpretation and geological analysis were used to initially delineate favorable mineralization areas, clarify the spatial range, depth range and reservoir type of the favorable areas, and mark key exploration blocks to provide target ranges for subsequent geophysical exploration.

[0010] Preferably, the detailed steps of step four are as follows: For the preliminarily delineated favorable mineralization areas, high-precision three-dimensional seismic exploration is carried out, and pre-stack depth migration technology is used to make up for the insufficient resolution caused by the energy attenuation of deep seismic waves, accurately depict deep microstructures, fault distribution and reservoir spatial distribution, focus on tracking the spatial extension of potassium-bearing brine reservoirs, determine the connectivity of brine migration channels, and exclude brine dispersion areas caused by structural fracturing. Based on seismic exploration, high-precision electromagnetic spectrum and magnetotelluric sounding exploration are carried out. By utilizing the resistivity difference between potassium-bearing brine and surrounding rock, the distribution range, spatial location and depth of brine are accurately determined, and brine is distinguished from other low-resistivity geological bodies, solving the problem of multiple solutions in single electrical exploration. For salt crust covered areas and fault-developed areas, the electromagnetic signal acquisition and processing methods are optimized to reduce interference and improve the accuracy of anomaly identification. By integrating logging data from previous oil and gas exploration and potash exploration, targeted logging identification standards are established for reservoir types in different basins.

[0011] Preferably, the detailed steps of step five are as follows: For the selected high-potential target areas, hydrogeological drilling wells are arranged, and a high-mineralization circulating fluid with a mineralization basically consistent with that of the brine is used to avoid drilling fluid contamination of the brine sample; the well-forming process is optimized, a filter pipe is installed to meet the requirements of the brine extraction experiment, and the well wall is reinforced to avoid well wall collapse, well leakage and other accidents, and to adapt to deep and complex geological conditions. During drilling operations, specialized coring techniques were used to obtain complete reservoir cores, collect deep primary brine samples, and conduct tests on the chemical composition, trace elements, and isotopes of the brine. Key indicators such as potassium content and mineralization were analyzed to verify the mineralization potential of the target area. At the same time, the pore structure and fracture development of the cores were analyzed to further clarify the relationship between brine enrichment and reservoir characteristics. Based on the drilling verification results, the compatibility of the actual mineralization in different basins with the general metallogenic framework is compared and analyzed. The framework parameters are optimized, and the general and individual metallogenic geological models are improved to make up for the deficiencies of the previous theoretical analysis. For target areas where drilling verification is effective, the spatial distribution, thickness and grade of the ore body are clarified to form the final exploration target area results. For areas where verification is ineffective, the reasons are analyzed and the subsequent exploration ideas are optimized.

[0012] Preferably, the detailed steps of step six are as follows: systematically organize the exploration data, analysis results and drilling results of each step, clarify the metallogenic regularity, target area characteristics and key exploration technical parameters of different basins, form a complete exploration report, and summarize the key points of adaptation and adjustment methods of general metallogenic models. The optimized general metallogenic framework and single basin adaptation model will be extended to the exploration of other similar basins. By combining new exploration data, the model parameters will be continuously iterated and optimized to gradually improve the universality and accuracy of the model and break the limitations of local exploration in a single structure or single basin. By integrating the preliminary geological survey, geophysical exploration, and drilling verification techniques, a set of deep brine potash mineral exploration technologies suitable for multiple basins has been formed. The technical standards, parameter requirements, and applicable scenarios for each step have been clarified, providing technical support for subsequent large-scale and precise exploration.

[0013] Compared with the prior art, the beneficial effects of the present invention are: This application, through the core logic of commonality extraction, individual adaptation, and precise verification, not only establishes a general metallogenic geological framework applicable to different basins, solving the problem of the lack of a general model, but also adapts to the differences in metallogenic conditions of different basins by adjusting parameters of a single basin. Meanwhile, by combining multi-method geophysical exploration and drilling verification, the problem of complex brine enrichment and migration patterns caused by multiple tectonic movements has been solved, ultimately achieving precise delineation of the exploration target area. Compared with traditional local exploration modes, it has stronger applicability and higher accuracy, and can be widely applied to the exploration of deep brine potash deposits in different types of basins such as the Sichuan Basin and Qaidam Basin, effectively improving exploration efficiency and reducing exploration risks. Attached Figure Description

[0014] Figure 1 This is a flowchart of the exploration method in this invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example 1

[0016] Please see Figure 1 The present invention provides a technical solution: A method for exploring deep brine potash deposits in a basin area, the specific steps of which are as follows: Step 1: Preliminary preparation and basic geological survey of multiple basins: collect and integrate data on the exploration sites, conduct regional geological reconnaissance, and perform preliminary analysis of the commonalities and unique characteristics of multiple basins; The system collects and integrates geological data from multiple sources, conducts regional geological reconnaissance, compares and analyzes the common and unique geological features of multiple basins, establishes a unified geological database, avoids redundant exploration and data fragmentation, and reduces the amount of ineffective work in the early stage; through large-scale reconnaissance, it accurately grasps the surface geology, structure and salt outcrop characteristics, preliminarily delineates the mineralization potential zones, defines a reasonable scope for subsequent exploration, and reduces overall blindness. Step 2: Extraction of common metallogenic regularities in multiple basins and construction of a general metallogenic framework: Analyze key metallogenic factors, construct a general metallogenic geological framework, and finally integrate and optimize local patterns. The common patterns of the three major ore-controlling factors of structure, sedimentation and fluid are extracted, a general metallogenic framework is built and typical local models are integrated, the unified metallogenic mechanism of multiple basins is clarified, and the exploration limitations of single basins and single structures are broken. The framework reserves interfaces for personalized adaptation, taking into account both universality and flexibility. Mature exploration experience is integrated to optimize the framework, providing a unified theoretical basis for large-scale exploration in multiple basins. Step 3: Individualized Adaptation of Single Basins and Preliminary Delineation of Favorable Mineralization Areas: Detailed analysis of the geological characteristics of single basins, individualized adaptation and adjustment of the general framework, and preliminary delineation of favorable mineralization areas; By refining the geological characteristics of a single basin and making personalized adjustments to the general metallogenic framework, favorable exploration areas are initially delineated, allowing the theoretical framework to accurately match actual geological conditions and improving the reliability of metallogenic prediction; the scope of the exploration target area is rapidly narrowed, significantly reducing the cost and workload of subsequent geophysical exploration and drilling, and achieving targeted and efficient exploration. Step 4: Multi-method geophysical exploration and precise screening of favorable areas: Seismic exploration is carried out in the delineated mining area, followed by electrical exploration, and finally, linkage analysis of well logging data is conducted. By combining 3D seismic, electrical resistivity, and well logging data, favorable areas are finely characterized and verified. 3D seismic data solves the problem of insufficient resolution in deep exploration and accurately identifies structures and reservoirs. The combined electrical resistivity eliminates the multiple solutions of a single geophysical method and accurately locates the distribution, depth, and range of brine. The mutual verification of multiple methods significantly improves the accuracy of favorable area screening and greatly reduces the risk of subsequent drilling. Step 5: Drilling verification and metallogenic model optimization: Design and construct drilling projects for the selected mining areas, collect and test samples, and optimize the metallogenic model and confirm the target area. Drilling is carried out in high-potential target areas to collect samples for testing and to revise the mineralization model and confirm the final target area. Drilling technology adapted to deep brine is adopted to avoid sample contamination and engineering accidents. The mineralization potential is directly verified through measured data to ensure the authenticity and reliability of the exploration results. The mineralization model is optimized based on the drilling results to make up for theoretical analysis deviations, eliminate invalid areas, and lock in industrial ore bodies. Step Six: Summary of Results and Promotion of Multi-Basin Exploration Model: The exploration results are summarized, the exploration model is promoted and optimized, and finally the technical system is improved based on the entire exploration process.

[0017] By summarizing exploration results, promoting suitable mineralization models, improving the standardized exploration technology system, and forming a replicable and scalable multi-basin exploration model, we can achieve rapid and efficient exploration in similar basins. We will also establish a standardized technology system for the entire process to provide stable technical support for subsequent large-scale and precise exploration, thereby improving the overall efficiency and success rate of deep brine potash exploration in the basin area.

[0018] The detailed steps of step one are as follows: The system collects regional geological reports, previous potash exploration data, oil and gas exploration borehole data, seismic profile data, stratigraphic lithology data and tectonic evolution history data of the target basin (focusing on typical basins such as the Sichuan Basin and Qaidam Basin). It focuses on sorting out the core information of stratigraphic age, sedimentary environment (marine / terrestrial), structural type (anticline / depression), and reservoir lithology (carbonate rock / clastic rock / conglomerate) of different basins, and establishes a multi-basin geological database to avoid duplicate exploration and data fragmentation. For each target basin, a 1:200,000 scale regional geological reconnaissance was carried out. Combined with remote sensing interpretation, surface profile measurement, route tracing and handheld GPS positioning, the focus was on observing the surface strata exposure, fault structure distribution, salt mineral outcrops and hydrogeological characteristics. The mineralization potential zones of different basins were preliminarily determined, and areas of strong tectonic activity and areas of superimposed tectonic movements were marked, providing a basis for subsequent refinement of the exploration scope. By comparing and analyzing geological data from different basins, common mineralization conditions were extracted, such as basin evolution and fluid migration. Individual differences were also identified, such as the Sichuan Basin being dominated by Triassic marine carbonate reservoirs and the Qaidam Basin being dominated by Cenozoic continental sandstone and conglomerate reservoirs. The impact of multiple tectonic movements on the migration and enrichment of brine in different basins was analyzed in detail, and mineralization types were preliminarily classified as tectonic fracture-porous, sandstone-porous, and intercrystalline brine types, providing direction for subsequent targeted exploration.

[0019] The detailed steps of step two are as follows: Focusing on the three core mineralization factors of structure, sedimentation, and fluid, we analyze the common patterns of different basins. Structurally, deep brines are mostly enriched in anticline structural fractures, deep and large fault zones, and secondary basin depressions. Fractures formed by multiple tectonic movements are the core channels for brine migration and storage. Sedimentarily, potassium-rich brines are closely related to saline strata (Paleogene, Neogene, and Quaternary saline strata), and reservoir permeability is the key to brine enrichment. Fluidly, the sources of brine (high-altitude meltwater and formation water) and the evolution of mineralization have common characteristics, and dissolution is an important mechanism for potassium enrichment in brine. Based on common laws, a general metallogenic framework is established, which is based on tectonic movement controlling reservoir, sedimentary environment controlling source, and fluid migration controlling enrichment. The coupling relationship of the three core elements is clarified. Tectonic movement controls the spatial distribution of reservoir and fracture development, sedimentary environment controls the distribution of saline strata and source supply, and fluid migration controls brine enrichment and grade improvement. At the same time, a customizable interface is reserved so that the weight and parameters of each element can be adjusted according to the specific geological characteristics of different basins. Core data from typical local exploration models in the Pingluoba structure (Sichuan Basin) and the Mahai Depression (Qaidam Basin) were collected and integrated into a general framework. The generalizable experiences of the local models were extracted, such as the three-in-one identification method of geological, well logging and seismic data of the Pingluoba structure. The adaptability of the general framework was optimized to avoid the limitations of local models and realize the exploration approach of general framework and local adjustment.

[0020] The detailed steps of step three are as follows: For a single target basin, conduct 1:100,000 or 1:50,000 scale stereo mapping. Combine previous borehole data and reconnaissance results to refine stratigraphic lithology, structural distribution, reservoir characteristics, and fluid migration patterns. Focus on analyzing the specific impacts of multiple tectonic movements in the basin, such as the degree of fault development and stratigraphic deformation characteristics, to clarify the mineralization type of the basin. For example, the Pingluoba structure in the Sichuan Basin is mainly of the tectonic fracture-pore type, while the western part of the Qaidam Basin is mainly of the sand-gravel-pore type. Based on the refined characteristics of a single basin, adjust the core parameters of the general mineralization framework. For example, in the terrestrial sedimentary area of ​​the Qaidam Basin, focus on strengthening the mineralization logic of "sand-gravel layer reservoir + alpine meltwater dissolution and filtration"; in the marine sedimentary area of ​​the Sichuan Basin, focus on strengthening the mineralization logic of carbonate rock fracture reservoir and stratigraphic fluid enrichment. For areas with strong tectonic movement, focus on analyzing the impact of fracture connectivity on brine migration and optimize the criteria for judging favorable mineralization areas.

[0021] Based on the adjusted mineralization logic, remote sensing interpretation and geological analysis were used to preliminarily delineate favorable mineralization areas, clarify the spatial range, depth range and reservoir type of favorable areas, and mark key exploration blocks, such as the periphery of deep fault zones, saline strata development areas and anticline cores, to provide target areas for subsequent geophysical exploration.

[0022] The detailed steps of step four are as follows: For the preliminarily delineated favorable mineralization areas, high-precision three-dimensional seismic exploration is carried out. Pre-stack depth migration technology is used to make up for the insufficient resolution caused by the energy attenuation of deep seismic waves, accurately depict deep microstructures, fault distribution and reservoir spatial distribution, focus on tracking the spatial extension of potassium-bearing brine reservoirs, determine the connectivity of brine migration channels, and eliminate brine dispersion areas caused by structural fracturing. Based on seismic exploration, high-precision electromagnetic spectrum and magnetotelluric sounding exploration are carried out. By utilizing the resistivity difference between potassium-bearing brine and surrounding rock, the distribution range, spatial location and depth of brine are accurately determined, and brine is distinguished from other low-resistivity geological bodies, such as groundwater and muddy layers, thus solving the problem of multiple solutions in single electrical exploration. For salt crust covered areas and fault-developed areas, the electromagnetic signal acquisition and processing methods are optimized to reduce interference and improve the accuracy of anomaly identification. By integrating logging data from previous oil and gas exploration and potash exploration, targeted logging identification standards are established for different reservoir types in different basins. For example, for carbonate reservoirs in the Sichuan Basin, sensitive parameters such as natural gamma and sonic velocity are mainly used; for sandstone and conglomerate reservoirs in the Qaidam Basin, parameters such as resistivity and spontaneous potential are mainly used. By combining geological, logging, and seismic methods, the halogen content of the reservoirs is verified, and high-potential exploration targets are further screened out.

[0023] The detailed steps of step five are as follows: For the selected high-potential target areas, deploy hydrogeological drilling wells, with wells at the kilometer level and hole depths ranging from hundreds to thousands of meters. Use circulating fluid with a high mineralization that is basically consistent with the salinity of the brine to avoid contaminating the brine sample with drilling fluid. Optimize the well-forming process, install filter pipes with a porosity of not less than 20% to meet the requirements of brine extraction experiments, and reinforce the well wall to avoid well wall collapse, well leakage and other accidents, and adapt to deep and complex geological conditions. During drilling operations, specialized coring techniques are used to obtain complete reservoir cores and collect deep primary brine samples to prevent leakage and contamination. Chemical composition, trace element and isotope tests of the brine are conducted, and key indicators such as potassium content and mineralization are analyzed to verify the mineralization potential of the target area. At the same time, the pore structure and fracture development of the cores are analyzed to further clarify the relationship between brine enrichment and reservoir characteristics. Based on the drilling verification results, the compatibility of the actual mineralization in different basins with the general metallogenic framework is compared and analyzed. The framework parameters are optimized, and the general and individual metallogenic geological models are improved to make up for the deficiencies of the previous theoretical analysis. For target areas where drilling verification is effective, the spatial distribution, thickness and grade of the ore body are clarified to form the final exploration target area results. For areas where verification is ineffective, the reasons are analyzed, such as poor structural connectivity and dispersed brine, and the subsequent exploration ideas are optimized.

[0024] The detailed steps of step six are as follows: systematically organize the exploration data, analysis results and drilling results of each step, clarify the metallogenic regularity, target area characteristics and key exploration technical parameters of different basins, form a complete exploration report, and summarize the key points and adjustment methods of the general metallogenic model. The optimized general metallogenic framework and single basin adaptation model will be extended to the exploration of other similar basins. By combining new exploration data, the model parameters will be continuously iterated and optimized to gradually improve the universality and accuracy of the model and break the limitations of local exploration in a single structure or single basin. By integrating the preliminary geological survey, geophysical exploration, and drilling verification techniques, a set of deep brine potash mineral exploration technologies suitable for multiple basins has been formed. The technical standards, parameter requirements, and applicable scenarios for each step have been clarified, providing technical support for subsequent large-scale and precise exploration.

[0025] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or basic characteristics. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of the invention is defined by the appended claims rather than the foregoing description. Therefore, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

[0026] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for exploring deep brine potash deposits in a basin area, characterized in that, The specific steps for exploring deep brine potash deposits in this basin area are as follows: Step 1: Preliminary preparation and basic geological survey of multiple basins: collect and integrate data on the exploration sites, conduct regional geological reconnaissance, and perform preliminary analysis of the commonalities and unique characteristics of multiple basins; Step 2: Extraction of common metallogenic regularities in multiple basins and construction of a general metallogenic framework: Analyze key metallogenic factors, construct a general metallogenic geological framework, and finally integrate and optimize local patterns. Step 3: Individualized Adaptation of Single Basins and Preliminary Delineation of Favorable Mineralization Areas: Detailed analysis of the geological characteristics of single basins, individualized adaptation and adjustment of the general framework, and preliminary delineation of favorable mineralization areas; Step 4: Multi-method geophysical exploration and precise screening of favorable areas: Seismic exploration is carried out in the delineated mining area, followed by electrical exploration, and finally, linkage analysis of well logging data is conducted. Step 5: Drilling verification and metallogenic model optimization: Design and construct drilling projects for the selected mining areas, collect and test samples, and optimize the metallogenic model and confirm the target area. Step Six: Summary of Results and Promotion of Multi-Basin Exploration Model: The exploration results are summarized, the exploration model is promoted and optimized, and finally the technical system is improved based on the entire exploration process.

2. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step one are as follows: The system collects regional geological reports, previous potash exploration data, oil and gas exploration borehole data, seismic profile data, stratigraphic lithology data and tectonic evolution history data of the target basin, and focuses on sorting out the core information of stratigraphic age, sedimentary environment, structural type and reservoir lithology of different basins to establish a multi-basin geological database to avoid duplicate exploration and data fragmentation. For each target basin, a 1:200,000 scale regional geological reconnaissance was carried out. Combined with remote sensing interpretation, surface profile measurement, route tracing and handheld GPS positioning, the focus was on observing the surface strata exposure, fault structure distribution, salt mineral outcrops and hydrogeological characteristics. The mineralization potential zones of different basins were preliminarily determined, and areas of strong tectonic activity were marked to provide a basis for further refining the exploration scope. By comparing and analyzing geological data from different basins, common mineralization conditions were extracted, individual differences were identified, and the impact of multiple tectonic movements on brine migration and enrichment in different basins was analyzed. Preliminary classification of mineralization types was conducted to provide direction for subsequent targeted exploration.

3. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step two are as follows: Focusing on the three core mineralization factors of structure, sedimentation, and fluid, we analyze the common patterns of different basins. Structurally, deep brines are mostly enriched in anticline structural fractures, deep and large fault zones, and secondary basin depressions. Fractures formed by multiple tectonic movements are the core channels for brine migration and storage. Sedimentarily, potassium-rich brines are closely related to saline strata, and reservoir permeability is the key to brine enrichment. Fluidly, brine sources and mineralization evolution have common characteristics, and dissolution is an important mechanism for potassium enrichment in brine. Based on common laws, a general metallogenic framework is established, which is based on tectonic movement controlling reservoir, sedimentary environment controlling source, and fluid migration controlling enrichment. The coupling relationship of the three core elements is clarified. Tectonic movement controls the spatial distribution of reservoir and fracture development, sedimentary environment controls the distribution of saline strata and source supply, and fluid migration controls brine enrichment and grade improvement. At the same time, a customizable interface is reserved so that the weight and parameters of each element can be adjusted according to the specific geological characteristics of different basins. Core data from typical local exploration models of the Pingluoba structure and the Mahai Depression were collected and integrated into a general framework. The generalizable experience of the local models was extracted, the adaptability of the general framework was optimized, the limitations of the local models were avoided, and the exploration approach of general framework and local adjustments was realized.

4. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step three are as follows: For a single target basin, conduct 1:100,000 or 1:50,000 scale stereo mapping, combine previous borehole data and reconnaissance results to refine stratigraphic lithology, structural distribution, reservoir characteristics and fluid migration patterns, focus on analyzing the specific impact of multiple tectonic movements in the basin, and clarify the mineralization type of the basin; adjust the core parameters of the general mineralization framework according to the refined characteristics of the single basin. Based on the adjusted mineralization logic, remote sensing interpretation and geological analysis were used to initially delineate favorable mineralization areas, clarify the spatial range, depth range and reservoir type of the favorable areas, and mark key exploration blocks to provide target ranges for subsequent geophysical exploration.

5. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step four are as follows: For the preliminarily delineated favorable mineralization areas, high-precision three-dimensional seismic exploration is carried out. Pre-stack depth migration technology is used to make up for the insufficient resolution caused by the energy attenuation of deep seismic waves, accurately depict deep microstructures, fault distribution and reservoir spatial distribution, focus on tracking the spatial extension of potassium-bearing brine reservoirs, determine the connectivity of brine migration channels, and eliminate brine dispersion areas caused by structural fracturing. Based on seismic exploration, high-precision electromagnetic spectrum and magnetotelluric sounding exploration are carried out. By utilizing the resistivity difference between potassium-bearing brine and surrounding rock, the distribution range, spatial location and depth of brine are accurately determined, and brine is distinguished from other low-resistivity geological bodies, solving the problem of multiple solutions in single electrical exploration. For salt crust covered areas and fault-developed areas, the electromagnetic signal acquisition and processing methods are optimized to reduce interference and improve the accuracy of anomaly identification. By integrating logging data from previous oil and gas exploration and potash exploration, targeted logging identification standards are established for reservoir types in different basins.

6. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step five are as follows: For the selected high-potential target areas, hydrogeological drilling wells are arranged, and high-mineralization circulating fluid with a mineralization degree basically consistent with that of brine is used to avoid drilling fluid contamination of brine samples; the well-forming process is optimized, and filter pipes are installed to meet the requirements of brine extraction experiments. At the same time, the well wall is reinforced to avoid well wall collapse and well leakage accidents, and to adapt to deep and complex geological conditions. During drilling operations, specialized coring techniques were used to obtain complete reservoir cores, collect deep primary brine samples, and conduct tests on the chemical composition, trace elements, and isotopes of the brine. Key indicators such as potassium content and mineralization were analyzed to verify the mineralization potential of the target area. At the same time, the pore structure and fracture development of the cores were analyzed to further clarify the relationship between brine enrichment and reservoir characteristics. Based on the drilling verification results, the compatibility of the actual mineralization in different basins with the general metallogenic framework was compared and analyzed. The framework parameters were optimized, and the general and individual metallogenic geological models were improved to make up for the deficiencies of the previous theoretical analysis. For target areas that have been verified by drilling, the spatial distribution, thickness and grade of the ore body are clarified to form the final exploration target area results; for areas that have not been verified, the reasons are analyzed and the subsequent exploration strategy is optimized.

7. The method for exploring deep brine potash deposits in a basin area according to claim 1, characterized in that: The detailed steps of step six are as follows: systematically organize the exploration data, analysis results and drilling results of each step, clarify the metallogenic regularity, target area characteristics and key exploration technical parameters of different basins, form a complete exploration report, and summarize the key points and adjustment methods of the general metallogenic model. The optimized general metallogenic framework and single basin adaptation model will be extended to the exploration of other similar basins. By combining new exploration data, the model parameters will be continuously iterated and optimized to gradually improve the universality and accuracy of the model and break the limitations of local exploration in a single structure or single basin. By integrating the preliminary geological survey, geophysical exploration, and drilling verification techniques, a set of deep brine potash mineral exploration technologies suitable for multiple basins has been formed. The technical standards, parameter requirements, and applicable scenarios for each step have been clarified, providing technical support for subsequent large-scale and precise exploration.

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