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ORIGINAL RESEARCH article
Front. Earth Sci. , 25 February 2025
Sec. Economic Geology
Volume 13 - 2025 | https://doi.org/10.3389/feart.2025.1489870
This article is part of the Research Topic Exploration, Development, and Protection of Earth’s Resources and Environment: Methods, Techniques, Applications, Prospects, Insights, and Problems View all 34 articles
For a long time, the exploitation of ion-adsorption type rare earth (REE) deposits in the southern Jiangxi Province of China have been accompanied by ecological and environmental damage, making the search for green and efficient mining solutions particularly important. Currently, in-situ leaching is the main mining technique used for ion-adsorption REE deposits. Before employing this technique, it is imperative to thoroughly investigate the geological mining conditions. Environmental damage caused by the failure to do so, low recovery rates of the original liquor, and secondary geological disasters pose serious challenges to green and efficient mining operations. In this work, microtremor surveying technology was introduced in the Kaizidong mining area in southern Jiangxi Province to refine exploration of the subsurface stratigraphy. By utilizing the wave velocity discontinuity interfaces at 350 m/s and 500 m/s, the layers of the rare earth mine is accurately delineated, including the completely weathered layer, the semi-weathered layer, and the bedrock, providing a critical basis for in-situ leaching mining. Subsequently, high-density resistivity method was employed to monitor and measure the flow direction of the original liquor. After the apparent resistivity of the two observational profiles stabilized, they decreased by 57.77% and 63.25%, respectively. Using the variations in resistivity to infer the distribution of the original liquor and simulate its flow direction, the injection and recovery system was adjusted in a timely manner to eliminate potential safety hazards during mining. The exploration of a combined geophysical method of microtremor detection and high-density electrical method has enabled the establishment of a geological model for the entire mine’s subsurface structure, guiding the in-situ leaching mining process of ion-adsorption REE mines towards an economic, efficient, and green development.
Rare earth elements, due to their unique atomic structures and excellent physicochemical properties including optical, electronic, and magnetic characteristics, have been globally recognized as critical mineral resources. Particularly, the medium and heavy rare earth elements (MREEs and HREEs) are extensively used in high-technology fields such as aerospace, new energy, semiconductor materials, and medicine, and are thus very expensive and irreplaceable (Wall, 2014; Dushyantha et al., 2020; Zhou et al., 2020; Ji et al., 2021; Cheng et al., 2023). Ion-adsorption REE mines are the primary source of MREEs and HREEs, supplying over 90% of these global resources, underscoring their significance (Moldoveanu and Papangelakis, 2016; Wang et al., 2017; Li and Zhou, 2020). These deposits are characterized by rare earth elements existing in an exchangeable adsorption state as cations within weathered crust, predominantly associated with granitic rocks (Sanematsu and Watanabe, 2016; Costa et al., 2020; Li et al., 2022; Li and Zhou, 2020; Guo et al., 2023). They are widely distributed across seven provinces in Southeast China as well as in countries such as Myanmar, Laos, Malaysia, Philippines, Chile, and Madagascar (Basta et al., 2011; Sanematsu and Watanabe, 2016; Fu et al., 2019; Li et al., 2019; Ram et al., 2019; Borst et al., 2020; Sobri et al., 2023). The ion-adsorption REE mines in the southern Jiangxi region of China are highly valued for mining due to their higher content of MREEs and HREEs, extensive distribution, low radioactivity, and simple extraction processes, making them one of the main economically mined rare earth resources today.
The leaching process for ion-adsorption REE mines has evolved from sodium chloride vat leaching and pool leaching processes, and through continuous improvements, has developed into an in-situ leaching process mainly using ammonium sulfate as the leaching agent. This approach ensures that the surface vegetation and the original ecology are preserved during the leaching process (Chen, 2011; Sobri et al., 2024). In-situ leaching requires a comprehensive understanding of the geological conditions of the mine, including detailed knowledge of the geology, hydrology, engineering, and environmental geology of the mine. During mining, the layout of the leaching system, including injection wells and collection ditches, is primarily based on surface geological and hydrogeological conditions combined with drilling data, followed by the injection of a large volume of high-concentration leaching solution into the mountain (Xiao et al., 2016). Practice has shown that the distribution characteristics of various strata and other structural fractures in the mines are the main factors affecting the effectiveness of in-situ leaching (Moldoveanu and Papangelakis, 2016; Wang L. et al., 2018). Geological heterogeneity and leakage channels make water flow difficult to control and prone to leakage, which not only makes it difficult to ensure recovery rates but also poses a risk of water pollution to groundwater (Zhao et al., 2017; Liu et al., 2022). Additionally, there has been no monitoring of the flow direction of the original liquor during the leaching process, making it impossible to track where the original liquor flows, when it reaches saturation, and whether there are any safety hazards. Therefore, precise detection of the geological structure of the mine and clarification of the flow direction of the leaching agent during mining are crucial for the recovery of the original liquor and rare earth resources (Yaraghi et al., 2019; He et al., 2022). There is an urgent need to develop new technologies and methods to refine exploration and dynamic monitoring of the mining process before mining, to achieve green and efficient development of ion-adsorption REE mines (Luo et al., 2024). During long-term engagement in the exploration and development of rare earths, the use of microtremor detection to accurately determine and divide the stratigraphic sequence of the mine have recently explored in the Kaizidong mining area of southern Jiangxi Province of China. This is complemented by high-density electrical methods to monitor the flow direction of the original liquor, predicting and regulating the seepage of the leaching and recovery process in the mines, thus realizing green and efficient development (Zhong et al., 2022; Chen et al., 2020).
The Kaizidong mining area is located in Dingnan County, adjacent to Longnan County in the southern Jiangxi region of South China (Figure 1). It is situated within the Cathaysia Block, to the west of the Wuyi uplift, in the middle of the Luoxiao fold belt, spanning across the Wuyi-Luoxiao-Qinhang junction zone. The area is composed of several tectonic units, such as the Yushan and Wuyishan uplift zone as well as the Yingtan-Anyuan, Jiulianshan-Anyuan and Quannan-Xunwu fault zones. Due to complicated geological events, the deep structure in the area is interwoven and complex, with intermittent compression uplifts and tensional fault basins, leading to the formation of NE-NNE trending uplift zones and EW trending tensional magmatic belts in the region. The exposed strata in the region include the Neoproterozoic, Mesozoic, and Cenozoic sequences (Wang W. et al., 2018; Xue et al., 2024). Since the Neoproterozoic, the area successively forms the Neoproterozoic folded basement, Paleozoic sedimentary cover, Mesozoic thrust-fault structural system and fault basins, and Cenozoic loose accumulative sedimentary cover (Xue et al., 2019; Xue et al., 2021; Zhao et al., 2022). Magmatic activity mainly occurred during the Yanshanian and Indosinian periods, mainly comprising monzonitic granite, granodiorite, syenite, granitic porphyry, and granodiorite (Figure 2).
Figure 1. (A) The distribution of regolith-hosted REE deposits in South China. (B) An enlargement of the box in (A) showing the locations of regolith-hosted LREE and HREE deposits and the distribution of granites and volcanic rocks in the region (after Li et al., 2019). The location of the Kaizidong deposit is marked with a yellow star. Note that classification of the HREE-dominant deposits as large, medium, and small is based on rare earth oxide resources of >10,000, 5,000–10,000, and <5,000 t, respectively.
Figure 2. Regional geological map of the Kaizidong deposit: 1. Cretaceous Hekou Formation; 2. Cretaceous Shixi Formation; 3. Cretaceous Jilongzhang Formation; 4. Jurassic Changpu Formation; 5. Neoproterozoic Taoxiyan Formation; 6. Cretaceous granite porphyry; 7. Late Jurassic Sycamore granite; 8. Late Jurassic monzogranite; 9. Middle Jurassic granodiorite; 10. Early Triassic monzogranite; 11. Geological boundary; 12. Fault; 13. County line; 14. Mining area.
The ion-adsorption REE deposits in the southern Jiangxi region area are characterized by wide distribution, abundant reserves, low radioactivity, complete rare earth distribution, and rich content of MREEs and HREEs. Representative deposits include the Kaizidong, Zhongyi and Xunwu deposits, which are enriched in heavy, medium and light rare earth elements, respectively. This work focused mainly on the northern part of the Kaizidong mining area, where the stratigraphy is relatively simple. Quaternary strata are distributed only in the low-lying areas along the valley, with a thickness of 1–3 m, but locally near the mountain foot, it exceeds 3 m. These strata consist of clay and sandy clay. The structural pattern is relatively simple, influenced by fault structure F1, with two main sets of fractures visible. Magmatic rocks are widely exposed, mainly consisting of Early Yanshanian and Late Hercynian granite (Zhao et al., 2014; Zhao et al., 2022; Fan et al., 2023). These two episodes of granite generally extend in a northwest direction, and serve as the parent rocks for ion-adsorption REE deposits within the weathering crust of this area.
The Early Yanshanian granite is characterized by medium-coarse to fine-grained diorite granites, with rocks presenting a light red color and massive structure. The plagioclase and K-feldspar in the rocks are well-formed and euhedral with K-feldspar content reaching 40%–46%. Quartz is anhedral granular and embayed. After weathering, the rocks are mostly brick red, light red or light yellow brown in color, with some parts slightly gray-white. The mineral composition consists of feldspar, quartz, and biotite, while plagioclase and K-feldspar are mostly weathered into earthy, powdery kaolinite-type clay minerals with a slippery feel when handled, and a few K-feldspar crystals still retain their pseudomorphic shapes. Quartz is anhedral granular, with most grain sizes between 2–5 mm, and makes up about 25% of the content. Biotite often exudes iron, displaying a fading phenomenon.
The Late Hercynian rock is characterized by medium to coarse-grained porphyritic and sub-porphyritic biotite-hornblende granites, composed of plagioclase, K-feldspar, quartz, biotite, and muscovite. The phenocrysts are plagioclase and K-feldspar, euhedral to subhedral tabular columnar in shape, with grain sizes of 0.8 × 4.5 cm, and the larger ones can reach 4 × 15 cm. The matrix consists of plagioclase, K-feldspar, quartz, and biotite, with grain sizes between 0.1–0.4 cm. After weathering, the rocks are mostly brick red, light red or light yellow brown, with a loose structure. The plagioclase and K-feldspar have largely weathered into earthy, powdery kaolinite-type clay minerals with a slippery feel when handled, with K-feldspar often retaining its crystal pseudomorphs. Quartz appears as anhedral granular, with most grain sizes less than 3 mm, accounting for about 20%–25%. Biotite often exudes iron, showing a fading phenomenon, and muscovite is fine flaky.
The orebody is mainly hosted within the completed weathered layer of granite, distributed in a pseudo-stratiform manner throughout this layer. The planar shape is controlled by the morphology of the weathering crust, extending from the mountain top in a northeast direction along two main ridges to the southeast. On the surface, the orebody is comb-shaped, with its morphology and occurrence generally consistent with the topographic changes. The profile shape of the orebody is relatively simple, overall cap-shaped, sloping from the mountain top outward, with a dip angle along the ridge of generally 5°–10°, and a slope angle on the sides of about 20°–25°. Most parts of the orebody are covered by saprolite or soil layers, with an average thickness of 1.03 m. The thickness of the orebody varies with the topographic position and is closely related to the micro-geomorphological location, generally thicker at the mountaintop, followed by the ridge, and thinner on the slopes and at the foot of the slopes. The coefficient of variation in thickness is 73.79%, indicating relatively stable thickness. The original rock structures and textures are mainly preserved, while strong weathering leads to the destruction of the original rock structures and textures. The main ore structures and textures include: sandy clay texture, spotted structure, loose earthy structure, and massive structure. The ore has a relatively coarse grain size, with quartz particle sizes ranging from 2 to 8 mm. The main mineral components of the completed weathered layer are: clay minerals (30%–40%), quartz (25%–35%), feldspar (20%–40%), and mica (5%–10%), with kaolinite-type clay minerals, quartz, and K-feldspar together accounting for about 95%, followed by magnetite and biotite making up about 5%, and minor amount of resistant rare earth minerals and accessory minerals.
Microtremor exploration is based on the theory of steady random processes (Anikiev et al., 2023). It extracts Rayleigh wave phase velocity dispersion curves from the microtremor signals recorded by arrays. By inverting these dispersion curves, the subsurface medium’s S-wave velocity structure can be obtained. In rare earth mines, the variable degree of weathering or the presence of structural fractures can cause changes in wave propagation velocity. By understanding the variation patterns of subsurface medium wave velocity, it is possible to infer the distribution characteristics of the subsurface space, with the aim of detecting the underground spatial structure of rare earth mines (Simiyu, 2009; Jia et al., 2022). It is generally believed that the wave velocity of each layer in a mine should increase progressively from top to bottom. The wave velocity of the weathered profile is directly related to the degree of weathering with loose soil layer and the completed weathered layer having the lowest and the bedrock having the highest value. Therefore, the interfaces of sudden wave velocity changes can be used for the division of different strata.
By utilizing the microtremor detection method, faint vibrations from the mine’s subsurface space are collected, and the dispersion curves of surface waves are extracted from the microtremor signals. By inverting these dispersion curves, the transverse wave velocity structure of the subsurface medium is obtained, which can then be used to infer the depth and thickness of the different layers in the mine (Ibs-von Seht and Wohlenberg, 1999; Sun et al., 2009; Wang Z. W. et al., 2018). This technique allows for the economical, efficient, and environmentally friendly accurate delineation of the various strata within a rare earth mine, determining the thickness of the weathered crust ore body and the bedrock floor for in situ leaching (Ibs-von Seht and Wohlenberg, 1999; Wang Z. W. et al., 2018). By establishing a geological model of the entire mine’s underground structure, it provides a crucial basis for mine exploration and in situ leach mining operations.
This work takes the Kaizidong ion-adsorbed REE mine in the southern Jiangxi as an example. Microtremor detection is conducted to divide the strata of the rare earth mine, and it is combined with the drilling data of the mining area for comparison to verify the accuracy of this method.
Figure 3 shows the layout of the microtremor detection profiles. There are five profiles, all perpendicular to the main ore body within the measured area. The orientation of the profiles is 32°, with a spacing of 40 m between them. The length of profiles PM01 and PM05 is 160 m, while profiles PM02, PM03, and PM04 are 280 m long. The observation points on all profiles are spaced at intervals of 5 m.
Figure 3. Simplified Geological Map of the Northern Area of the Kaizidong Mining District. 1. The Quaternary Lianxu Formation including clay, sandy clay and gravel layer from base upwards; 2. Early Yanshanian medium-fine-grained biotite granite; 3. Late Hercynian medium-coarse grain porphyry monzonitic granite; 4. Bedrock area; 5. Mining area; 6. Layout diagram of microtremor detection.
For this survey, the TVG-63H three-component nodal seismometer is used for observation. This instrument is a new generation of intelligent nodal seismometers that integrates a high-sensitivity seismic sensor, a high-performance collector, satellite and crystal oscillator for high-precision timing, intelligent anti-theft and status monitoring, a 4G/5G Internet of Things remote communication module, a high-capacity lithium battery, and charge-discharge control (Yang and Guo, 2020). Due to the complex terrain, a linear array is used for observation. The array is laid out along the direction of the survey line. Real-Time Kinematic (RTK) is used to mark the predetermined measurement points accurately. Pits are dug at these points for the burial of instruments. During burial, the level bubble of the instrument should be centered. After leveling the ground with a shovel, the TVG-63H three-component nodal seismometer is placed horizontally on the measurement point. Once the instrument is in place, the devices at each station are turned on, personnel clear the area, and after the instrument enters its normal working state, the start time of the synchronous data collection by each instrument is recorded. In addition to recording the start time of data collection, it is necessary to log the instrument number corresponding to each measurement point in the record sheet, as well as information about human disturbances, terrain features, and geological summaries at the measurement point for reference during data processing (Chen et al., 2018). After an effective observation duration of 1 hour, the instruments are turned off and moved to the next measurement point.
As previously mentioned, microtremor detection can be used to delineate the layered structural conditions of a mine, thereby guiding the layout of the in-situ leachate injection and recovery system (Ghosh and Sivakumar, 2018; Wang Z. W. et al., 2018). However, during the in-situ leaching process, there is a lack of tracking for the flow direction of the original leach solution. Because of the complex geological conditions of mines, the flow direction of the original solution can be unclear, and the amount of recovery solution is often unpredictable and highly variable, dependent on the weather condition (He et al., 2022; Traore et al., 2023). High-density electrical resistivity is extremely sensitive to changes in electrical resistance. The leaching solution can alter the electrical resistivity of the strata during the permeation process through the mine. The electrical resistivity is typically lower in strata with higher water content, while bedrock and sections with poor permeability generally have higher resistivity or minor changes (Bharti et al., 2021).
Therefore, after the injection of the leach solution, high-density electrical resistivity measurements can be conducted at regular time intervals on each profile. This results in a series of time-correlated resistivity cross-sections for each profile, which can be used to approximate a dynamic simulation of the flow direction of the original solution.
The high-density electrical resistivity method is also used to monitor the flow direction of the original solution in the aforementioned mine, and the results are validated and explained in conjunction with the actual outflow situation. Two high-density monitoring profiles are arranged in the demonstration mine block, where: Profile PM01 has 50 points with a point spacing of 4 m, giving a total profile length of 200 m, and the profile direction is A-B. Profile PM02 has 60 points with a point spacing of 4 m, resulting in a total profile length of 240 m, and the profile direction is C-D.
In order to facilitate the explanation and verification, the various types of injection and recovery systems for this mine are also roughly indicated in the schematic diagram (Figure 4). It can be seen that both monitoring profiles traverse the injection range of this mine block. The ridge serves as the boundary line, with no injection carried out in the eastern part and no recovery projects arranged. The recovery pool is located in the southwestern part of the mine block, and a collection ditch is arranged along the foothills on the western side of the mine block, with the majority of horizontal drilling distributed along the collection ditch. It should be noted that the horizontal drill numbers 1 to 5 in the diagram are only indicative of their approximate locations and are not representative of the quantity. The lengths of the tunnels and horizontal drills are also not their actual extension depths but only indicate their general extension directions.
Figure 4. Schematic diagram of reacted liquor monitoring work. The Quaternary Lianwei Formation with clay and sandy clay in the upper part and gravel layer in the lower part; 2. Early Yanshanian medium-fine grained biotite granite; 3. Late Variscan medium-coarse grained porphyroid two-mica monzonitic granite.
This monitoring period extended from May 23 to 2 August 2023, with a total of 68 days of leachate injection and 54 days of monitoring. Detailed records were kept daily, including the weather conditions, rainfall, volume of injected leachate, number of injection wells, and the precipitation of original solution (Table 1). The first emergence of original solution was observed in recovery tunnel No. 1 on July 12, followed by the emergence at horizontal drill No. 3 on July 20. Subsequently, original solution was also detected emerging from horizontal drill No. 4 and recovery tunnel No. 2. The last location to show the emergence of original solution was horizontal drill No. 2. No original solution emerged from the other recovery locations throughout the entire monitoring period.
After continuous rainfall from July 16th to 20 July 2023, the decrease rate apparent resistivity for PM01 increased, while no such phenomenon was observed for PM02 (Table 1). This difference is likely resulted from the locations of the two profiles (Figure 4). For the PM02 that passes through hillside, the rainfall flows into the gully along the surface of the hillside, having no significant impact on the original fluid flow direction and the overall apparent resistivity changes in the survey area. However, when PM01 passes through the top of a hill, some of the rainfall infiltrates into the ground through the injection holes, accelerating the rate of apparent resistivity decrease in the survey area, but with no significant impact on the original fluid flow direction. In the later stages of fluid injection, the apparent resistivity values of the two profiles tended to converge, indicating that under certain conditions, continuous rainfall will accelerate the rate at which the original fluid infiltrates into the stratum, but has no significant impact on the fluid flow direction.
After the monitoring was completed, outliers were removed before using 2D high-density resistivity imaging software for format conversions. Subsequently, the elevations of the measurement points were added using Surfer16 and data inversion was carried out with Res2dinv. Finally, mapping was accomplished using Mapgis6.7 and Surfer16. Based on the variations in apparent resistivity observed in the two profiles after mapping,it was observed that as the leachate injection into the target mining block progressed, the overall apparent resistivity of the block showed a downward trend. For profile PM01, the resistivity stabilized relatively on July 11, with the average apparent resistivity decreasing from the initial 989.05 Ω-meters to 383.86 Ω-meters, a total reduction of 57.77%. For profile PM02, the resistivity tended to stabilize relatively on July 25, with the average apparent resistivity decreasing from 983.46 Ω-meters to 361.38 Ω-meters, a total reduction of 63.25%. This intuitively reflects the impact of the leaching solution injected into the strata on the resistivity and also represents the saturation of the original solution in the formation (Figure 5).
After the data collection was completed, various processing was carried out on the data, and the Surface Plus—advanced version software for surface waves was used to create subsurface shear wave velocity profiles. These profiles are used to infer the conditions of the underground space. From the inverted section diagram (Figure 6), it is clearly observed that there are two interfaces where the wave velocity changes abruptly within the mine’s underground space, located at 350 m/s and 500 m/s, respectively.
Based on the pattern of wave velocity changes, areas with shear wave velocities less than 350 m/s (shown in blue on the map) are delineated as the completely weathered crust. For the layer below, where the velocities range from 350 to 500 m/s (shown in light blue transitional area), it is inferred to be the semi-weathered crust. The area further down, where the wave velocity exceeds 500 m/s (shown in the red area), is deduced to be the bedrock.
To validate the accuracy of the microtremor inferred interfaces, drilling data from the ‘Gannan’ drills (a manual drill that can perforate through the completely weathered layer and into the semi-weathered layer for more than 0.5–1 m) were collected and overlaid for comparison on each profile. There were a total of 15 ‘Gannan’ drills located on these profiles, and it was found that the depths drilled by the vast majority of these drills matched the completely weathered crust interface as inferred in this study. The only exception was the GNZ2256 drill hole on the PM04 profile, which showed a slight deviation from the inferred interface. Since ‘Gannan’ drilling can only reveal the completed weathered layer, mechanical drills ZK001 and ZK002 were carried out on profiles PM02 and PM04, respectively, to verify the accuracy of the inferred Semi-weathered layer and bedrock. In the diagram, the mechanical drill indications in light grey, dark grey and black represent the thickness of the exposed completed weathered, semi-weathered and bedrock layers, respectively. It can be seen that the layers exposed by the ZK001 mechanical drill on the PM02 profile match the inferred interfaces well, while the layers exposed by the ZK002 mechanical drill on the PM04 profile show a slight deviation. Additionally, the depth of the completed weathered layer exposed by ZK002 is deeper than the depth drilled by the ‘Gannan’ drill, which may be primarily due to the disturbance of the original rock structure during mechanical drilling, resulting in the exposed layers being slightly deeper than the actual layers.
Through this validation, it is known that the microtremor inferred stratification interfaces are consistent with the ‘Gannan’ drilling data, and the overall structure of the survey area is relatively stable. Microtremor detection technology can accurately delineate the different weathered layers within a rare earth mine. This method is economical, efficient, and green, and it contributes to establishing a geological model of the entire mine’s underground structure (Ibs-von Seht and Wohlenberg, 1999; Wang Z. W. et al., 2018). This provides a critical basis for mine exploration and in-situ leaching mining, supporting the detailed detection and in-situ leaching mining of ion-adsorption REE mines.
In this mining area, a total of 54 observations were conducted on each of the two profiles, with each observation showing varying degrees of change, and these changes were largely linear. Here, we will not list each observation but will select the monitoring results from the first day of liquid injection (23 May 2023), the gradual emergence of original liquor (12 July 2023), and the late stage of liquid injection (2 August 2023) for analysis and verification. To facilitate a clear and comparative analysis, the resistivity color scale of all profiles has been standardized, using a blue-to-red transition to represent the change in the stratum’s resistivity from low to high.
This is the inversion profile of the original liquor monitoring for PM01 (Figure 7). It is apparent that at the initial stage of liquid injection, the stratum resistivity is predominantly in large areas of red, indicating an overall higher resistivity value, which suggests that the subsurface space is relatively dry. From this profile on July 12, as the injection of liquid continues, the original liquor further penetrates, and the apparent resistivity significantly decreases. The low-resistance areas mainly extend from the ridge to both sides, concentrated around the 64–160 m section of the profile, with apparent resistivity values less than 100 Ω m. Continuing the injection until 2 August 2023, the apparent resistivity of the mining block substantially reduces, with the low resistance mainly extending towards the end B, indicating that most of the original liquor has penetrated towards the end B (Figure 7). However, a large low-resistance area also appears at the end A, suggesting that some of the original liquor may seep towards the east side. After the resistivity stabilizes, the large low-resistance area on the side B of the profile suggests that horizontal drills 3, 4, 5, and the No. 1 liquid collection tunnel could all have original liquor emerging. The low-resistance area at 64–88 m extending towards the side A suggests that the side A may also have original liquor emerging. Notably, near 128 m on the profile, the blue low-resistance area has extended to the surface, indicating that the original liquor in this section may be oversaturated, with the risk of spilling out along the injection hole and the potential for landslides.
Upon field verification (Figure 8), the monitoring inference results are essentially consistent with the actual situation, with original liquor emerging from horizontal drills 3, 4, and the No. 1 liquid collection tunnel. The injection hole near 128 m on the profile also clearly shows the original liquor near the surface, and the injection personnel have also promptly limited the flow based on the observation results to prevent the original liquor from flowing along the surface and to control risks. It is worth mentioning that after we stopped observations, on August 7, original liquor also emerged on the A-side slope, consistent with the observation inference results.
Figure 8. Liquid collection system of PM 01 and PM 02. (A) the location of horizontal drill No. 1; (B) liquid collection from horizontal drill No. 4; (C) liquid discharge of horizontal dirll NO. 3; (D) the location of surface injection hole; (E) liquid collection tunnel with recovery status; (F) collection tunnel with recovery status of liquid from horizontal drill No. 2.
Analyzing the inversion section of the PM02 profile (Figure 9), when the liquid injection just started, the apparent resistivity of the underground space was mainly high resistance. On July 12, the range of the low-resistance area expanded, extending towards the side D. From the monitoring results on August 2, the apparent resistivity of the mining block continued to decline, the low-resistance area expanded, and tended to stabilize. Similar to the PM01 profile, the surface apparent resistivity values in the 80–144 m section of the profile were very low. Field surveys revealed that the liquid in the injection holes was clearly visible, indicating that the injection volume in this area had reached saturation, and the injection personnel also promptly limited the flow to prevent risks. Similar to PM01, there were signs of leakage towards the side C below the low-resistance area. Combining the results of PM01, it is highly probable that the original liquor could emerge from the eastern slope or the foot of the mountain. It is also advisable for the mine to pay attention to the injection-recovery ratio and to promptly check at the foot of the eastern side of the mining block to see if any original liquor has emerged.
Based on the above analysis, it can be determined that the liquid collection conditions for PM02 are good, and the emergence of the liquid should mainly be concentrated at the No. 2 liquid collection tunnel. The horizontal drills 1 and 2, which are positioned lower, show higher resistivity values, suggesting that the liquid emergence there should be average. However, it is inferred that the eastern side of the ridge may actually experience some original liquor seepage.
Upon field verification, as detailed in (Figure 8), the amount of liquid emerging from the No. 2 liquid collection tunnel is substantial, while the liquid output from horizontal drill 2 below is average. At the location of horizontal drill 1, there has been no emergence of original liquor from beginning to end, and there has been some seepage of original liquor on the eastern slope in the later stages, which is consistent with the predicted results.
In the in-situ leach mining process, high-density electrical resistivity measurements enable the creation of apparent resistivity cross-sections for each profile (Bustillo Revuelta, 2018). These cross-sections allow for the inference of the distribution state of the original liquor. By observing the variations in apparent resistivity over time, the permeation process of the original liquor can be inferred, which allows for the simulation of the original liquor’s flow direction. Timely optimization and adjustment of the injection and recovery system can be carried out based on these observations, eliminating potential safety risks during the mining process.
Ion-adsorption rare earth mines have successively undergone three different leaching methods: pool leaching, heap leaching, and in-situ leaching. At present, in-situ leaching is widely used, and the extraction process is continuously advancing towards greener methods (Yang et al., 2013; Moldoveanu and Papangelakis, 2016; Sanematsu and Watanabe, 2016; Liu et al., 2019). Both pool leaching and heap leaching require the mining and stripping of ore bodies, that is, transferring the ion-adsorption rare earth mines to leaching pools through mechanical excavation, which is a typical “mountain-moving” operation and causes severe damage to vegetation (Azizi et al., 2022; Meng et al., 2023). Due to the high cost of mechanical excavation, leaching usually starts with ore bodies that are of high grade and easier to strip, following the practice of “mining the rich and abandoning the poor” or “mining the easy and abandoning the difficult,” resulting in significant resource wastage (Asadollahzadeh et al., 2021; Chen et al., 2022). Since most low-grade and difficult-to-mine ore bodies are not developed, the utilization rate of rare earth resources is only 30%–40%. In-situ leaching does not require mountain excavation, only drilling and injecting fluids in place, which causes less impact on the ecological environment. However, because of the diversity of geological conditions, the production technology is more challenging (Kanazawa and Kamitani, 2006; Chi and Liu, 2019; Dushyantha et al., 2020), especially for ore bodies with complex geological structures, such as rare earth mines without a bedrock bottom, where leachate leakage is severe, and the recovery of leaching original liquor is difficult. This significantly reduces the recovery rate of rare earth, generally to 50%, and is accompanied by a low recycling rate of associated resources, secondary resources, and chemical materials (Costis et al., 2021). The current situation of low resource utilization limits the expansion of the ion-adsorption rare earth development field and also restricts the rapid transformation and upgrading of the rare earth industry (Tian et al., 2010; Guo et al., 2018; Guo et al., 2019; Chen et al., 2022).
To achieve efficient and green development of ion-adsorption rare earth mines, it is necessary to conduct refined exploration of the mines to understand the geological structure, as well as to monitor the original liquor accurately and effectively during the mining process (Chen et al., 2022). For example, before in-situ leaching mining of each rare earth mine, refined exploration can be carried out using microtremor detection methods to collect weak vibrations from the underground space of the mine (Smith et al., 2013). By extracting the dispersion curves of surface waves from microtremor signals and inverting these curves, the shear wave velocity structure of the underground medium can be obtained. Using this velocity structure in combination with borehole data, an underground space layer wave velocity model can be established (Wang Z. W. et al., 2018). This model allows for economical, efficient, and green accurate delineation of the various strata of the rare earth mine, determining where the bottom of the mine is located, whether there are any fracture zones, the presence of groundwater, and whether there are any leakage channels, among other conditions (Ibs-von Seht and Wohlenberg, 1999; Balaram, 2019; Li et al., 2020).
After comparing the real geological conditions of the ore body revealed by drilling (both ‘Gannan’ drilling and mechanical drilling) with the inversion results of the microtremor survey profile, it was found that the thickness, geological interfaces, and fault structures of ore body displayed by both methods are basically consistent (Figure 6). This indicates that this model is able to provide real geological conditions of ore body. It also enables the mining fluid system’s layout to be targeted effectively. During the mining process, high-density resistivity methods are used for real-time measurements to effectively monitor and track the entire in-situ leaching process by observing the changes in the resistivity of the underground space as the leaching fluid permeates and flows (Sinclair and Thompson, 2015). This improves the efficiency of the injection and recovery of the fluid and reduces the safety hazards during the mining process. It is important to note that the high-density electrical method, with its advantages of sensitivity to resistivity changes, ease of cabling, and convenience in data acquisition, is suitable for monitoring the flow direction of original liquor in rare earth mines. Meanwhile, microtremor exploration is also applied in stratigraphic division within rare earth mines due to its advantages of not requiring artificial seismic sources, strong exploration capabilities, and high efficiency. However, factors such as complex signal processing and noise filtering for both methods need to be considered and addressed in practical applications. The close and effective coordination of these two methods can lead to highly constructive innovations in the mining of ion-adsorption mines.
Microtremor detection technology can detail the interface of different weathering degrees of ion-adsorption rare earth and identify the shape of the impermeable bottom plate and concealed underground fractures. This aids in the refined exploration of rare earth mines, provides a geological basis for the precise layout of mining projects, and improves the recovery rate of leaching original liquor.
High-density resistivity method can intuitively perceive the flow and distribution of the original liquor, turning the black box operation of original liquor recovery into visualization. This allows for targeted optimization and adjustment of the injection and recovery system, timely elimination of safety hazards, and provides technical support for the green and efficient development of in-situ leaching mining.
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.
J-LT: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing–original draft. Y-CD: Formal Analysis, Investigation, Methodology, Software, Writing–review and editing. D-XY: Data curation, Formal Analysis, Investigation, Methodology, Software, Writing–review and editing. B-FC: Data curation, Investigation, Methodology, Resources, Software, Writing–review and editing. YZ: Data curation, Formal Analysis, Investigation, Methodology, Writing–review and editing. J-GZ: Data curation, Formal Analysis, Methodology, Software, Writing–review and editing. XW: Data curation, Formal Analysis, Methodology, Writing–review and editing. WW: Conceptualization, Formal Analysis, Funding acquisition, Supervision, Validation, Writing–original draft.
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by National Key Research and Development Program of China (2019YFC0605000) and National Nature Science Foundation of China (42272228).
This study was supported by the Kaizidong mine. Lin Jin-He is thanked for his generous help during the fieldwork. We gratefully acknowledge Dr. Guochang Wang for his helpful editorial handling. Two reviewers are also thanked for their constructive comments and suggestions.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Keywords: ion-adsorption, rare earth mine, in-situ leaching, green development, refined exploration
Citation: Tao J-L, Deng Y-C, Ye D-X, Chen B-F, Zhou Y, Zhong J-G, Wang X and Wang W (2025) Fine exploration and green development of ion-adsorption type REE deposits in South China using multi-geophysical technology. Front. Earth Sci. 13:1489870. doi: 10.3389/feart.2025.1489870
Received: 02 September 2024; Accepted: 27 January 2025;
Published: 25 February 2025.
Edited by:
Guochang Wang, Saint Francis University, United StatesReviewed by:
Hongjian Zhu, Yanshan University, ChinaCopyright © 2025 Tao, Deng, Ye, Chen, Zhou, Zhong, Wang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jian-Li Tao, dGFvamlhbmxpMTIzQHNpbmEuY24=
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