While utilizing hydrothermal resources, it is necessary to reinject wastewater into the reservoir through reinjection wells to extract heat without mining groundwater. Chemical clogging is a serious problem in the process of reinjection. The precipitation of minerals can lead to reservoir clogging and the reduction of permeability. Therefore, to study the effect of chemical clogging on permeability, the weakly consolidated sandstone of the Neogene Guantao Formation geothermal reservoir in northern Shandong (Eastern China) was taken as the research object. A long-term thermal-hydro-mechanical-chemistry (THMC) coupling reinjection experiment was carried out. The results showed that when the temperature of wastewater was higher than 45 °C, there was a temporary phase of permeability enhancement in the first 10 min of reinjection. However, wastewater with higher temperatures would cause more chemical clogging eventually. XRD and ion analysis results showed that the precipitation of minerals was mainly potash feldspar, illite, calcite, and other carbonate minerals during reinjection. According to the characteristics of low-TDS wastewater in the Guantao Formation, it is recommended to adopt low-temperature wastewater reinjection and reduce the concentration of Ca2+ and Mg2+ in wastewater before reinjection.

  • Water–rock chemical reactions cause the precipitation of minerals.

  • Permeability is an important parameter to characterize blockage.

  • XRD and ion concentration were used to analyze chemical blockage.

  • There was a temporary phase of permeability enhancement in the first 10 min of reinjection.

  • Tailwater with higher temperatures will cause more blockage eventually.

Graphical Abstract

Graphical Abstract
Graphical Abstract

With the progress of human civilization and the rapid development of social economy, people are urgently looking for renewable energy to optimize the energy structure. Geothermal energy has attracted more and more attention because of its huge reserves, stable temperature, and low carbon dioxide emissions. China is actively developing and utilizing geothermal resources (Zhao et al. 2022). Also, Chinese geothermal resources account for 8% of the whole world (Zhao &Wan 2014).

China is rich in geothermal resources, but only 2.3% of shallow geothermal resources have been exploited (Wang et al. 2017). Medium–low temperature hydrothermal geothermal resources are rich in northern Shandong (Wang et al. 2015; Kang et al. 2021), Kaifeng basin (Lin et al. 2007), Qinghai Xining (Zhang et al. 2021, 2022a), Guanzhong Basin (Xv et al. 2019), and Tianjin (An et al. 2016). Most of them occur in sandstone thermal reservoirs, which are loose porous media. In the process of wastewater reinjection, clogging reduces the permeability, and even causes damage to the reservoir irreversibly (Ungemach 2003; Cui et al. 2021a, 2021b, 2022; Zhang et al. 2022a, 2022b). Bouwer (2002) proposed that the causes of geothermal reinjection clogging can be mainly divided into suspended solids, microorganisms, bubble clogging, and chemical clogging; Brehme et al. (2018) subdivided clogging processes into physical, chemical, and biological processes. Among them, chemical clogging is caused by the change of the original hydrogeochemical equilibrium after wastewater enters the thermal reservoir. To reduce the impact of clogging, it is vital to optimize geothermal reinjection technology (Allow 2013; Diaz et al. 2016). At present, all hydrothermal geothermal projects in China require reinjection operations, and the rate of reinjection depends on provincial regulations (Kong et al. 2017). However, in actual projects, most geothermal wells cannot achieve continuous reinjection due to clogging. For example, the average reinjection rate of the Neogene Guantao Formation in Tianjin is 34.7%, and 6.3% for the Minghuazhen Formation (Wang 2014). Typical minerals of chemical clogging include carbonates, silicates, sulfates, metal oxides, and clay minerals (Scheiber et al. 2012; Haklidir & Haklidir 2017; Ma et al. 2017).

The main precipitation in the chemical clogging of geothermal reinjection was the carbonate scale in Xianyang, NW China (Ma et al. 2012). Pokrovsky et al. (2009) studied the dissolution of calcite and dolomite under different pH, temperature, and CO2 partial pressure environments rate. The study by Eppner et al. (2017) showed that the increase in temperature would reduce the solubility of calcite, which is beneficial to the precipitation of calcite. Moreover, the increase of temperature would also reduce the solubility of CO2, leading to the precipitation of calcium carbonate. Yang et al. (2022a, 2022b) found that the precipitation of carbonate minerals (calcite, dolomite) caused clogging at the back of the column. The concentration of Mg2+ can determine the form of carbonate minerals precipitation. Boyd et al. (2014) found the higher the Mg2+ concentration, the slower the rate of calcite formation, but the faster rate of aragonite formation.

Silicate is prevalent in wastewater and reservoirs, especially in geothermal fields with moderate mineralization and pH (Gallup 1997). Gunnarsson & Arnorsson (2005) stated that the silica scale mainly originates from the monomer amorphous silicas in the process of high-temperature geothermal water recovery and reinjection. Kunan et al. (2021) used hydrogeochemical modeling software Phreeqc to reproduce the scaling and the results indicated that silicate precipitation is strongly controlled by kinetic. Potassium feldspar is a kind of silicate. Ngwenya et al. (1995) confirmed by SEM, XRD, and ion assay that potassium feldspar can precipitate during reinjection resulting in lower permeability.

Sulfate minerals consist of and cations. The excess of Ca2+ and ions can lead to the formation and precipitation of sulfate scales (Cobos et al. 2021). Hastie et al. (2011) found that the polysulfide can be oxidized to sulfate during the reinjection due to the oxidation of water. Bedrikovetsky et al. (2006) combined experimental and mathematical analysis methods to simulate sulfate mineral scaling patterns. Wagner et al. (2005) found that gypsum precipitated in warmer regions of the reservoir. Brehme et al. (2019) stated that gypsum is more prone to precipitation than barite. Pape et al. (2005) investigated the precipitation mechanism of anhydrite. Their results implied that for the same super-saturation anhydrite crystals did not nucleate in small pores, but formed preferentially in large pores.

Metal oxides, especially iron oxides will cause serious clogging if Fe2+ is oxidized to Fe3+. Ni et al. (2018) found that the presence of both nitrate and oxygen caused Fe3+ precipitation. Cobos & Sogaard (2020) stated that reducing iron concentration did not seem to be an efficient method to reduce precipitates if oxygen had not been removed from the fluid. Yin et al. (2019) observed that Fe2+ was oxidized to Fe3+ to generate Fe(OH)3 colloids and adsorbed them in the seepage channels, causing chemical clogging.

Clay minerals are very common in sandstone. Liu et al. (2017) stated that the composition of clay minerals is the most important factor that affects the permeability of bine aquifer. They detected that the montmorillonite led to the largest permeability reduction, followed by kaolinite and illite in their further work. Temperature can influence the precipitation of clay minerals. Rosenbrand et al. (2014, 2015) discovered heating caused permeability reduction in sandstone formations containing kaolinite clay particles. And a permeability reduction due to heating from 20 to 80 °C was largely reversible with cooling.

Researchers have conducted studies on various aspects of chemical clogging. The reasons for clogging during reinjection depended on the geothermal reservoir and wastewater types. However, nearly all precipitation was affected by temperature, and geothermal wastewater reinjection will form the temperature gradient. Therefore, in this study, we took the weakly consolidated sandstone thermal reservoir of the Guantao Formation in Lubei as an example, simulating the reinjection process at different temperatures. Compared to previous studies, we minimized the impact of physical clogging by setting very low flow velocity. Our study aims to determine the influence of the temperature of wastewater on the chemical clogging in the Lubei area. The influence of mineral dissolution and precipitation caused by the change of ion concentration of displacement water on the permeability of the reservoir is emphatically discussed. The results from this study can be used for reducing chemical clogging during wastewater reinjection in the Lubei area.

Sample characteristics

In the Lubei area, only a small part of bedrock is exposed, and most of them are covered with quaternary sediments, which play a role in the thermal insulation of the lower geothermal reservoir. At present, the main geothermal resource reservoir in this area is the Guantao Formation of Neogene in Cenozoic The lower part of the Guantao Formation is siltstone, conglomerate, and sandy aquitard. The upper part is mainly siltstone, fine sandstone, and medium sandstone, belonging to fluvial facies (Zhang et al. 2019; Xv et al. 2021).

Guantao Formation sandstone is weakly consolidated fine-grained lithic feldspar sandstone, which is mainly composed of albite, microcline, quartz, Illite/montmorillonite mixed layer, montmorillonite, tremolite, kaolinite, and illite. The particle size ranges from 1.88 to 454 μm and the pore diameter ranges from 20 to 200 μm. The geothermal wastewater is weakly alkaline, and the main ion concentration from high to low is , Na+, Cl, , , K+, Ca2+, Mg2+, which is classified as Bicarbonate-sodium water-B type according to the Schukalev classification method (MGMR 1983).

Water sample

To exclude the effects of physical and biological clogging on the results, desanders were used to remove most of the microorganisms, large particles, and suspended particles. The pH of the reinjection water was 8.45, the TDS was 5,237.41 mg/L, and the results of ion analysis are shown in Table 1. The wastewater in the Lubei area has a lower TDS compared with others (Regenspurg et al. 2010; Öner et al. 2011; Tomaszewska et al. 2017; Sasaki et al. 2021; Yu et al. 2021). A control group of deionized distilled water was also set up to exclude the effects of clogging caused by particle transport, suspended particle transport, water absorption, and swelling of clay.

Table 1

Results of chemical analysis of reinjection water

Ion typeNa+K+Ca2+Mg2+Cl
Mass concentration(mg/L) 470.9 7.66 16.5 2.34 409.3 294.9 3,900.4 135.41 
Ion typeNa+K+Ca2+Mg2+Cl
Mass concentration(mg/L) 470.9 7.66 16.5 2.34 409.3 294.9 3,900.4 135.41 

Rock sample

The rock samples are collected from the Neoproterozoic Guantao Formation in the Lubei geothermal area, and the depth of the samples taken was about 1,100 m, which was in the upper part of the Guantao Formation. Due to the loose cementation, it was difficult to collect, and the complete rock samples obtained were less and small. High-precision rock wire-cutting technology was used to prepare the standard cores required for the reinjection simulation experiments as shown in Figure 1. The median diameter is 0.192 mm initial porosity is 63.821 mD. Rock samples of C1–C6 were prepared for the reinjection experiments. Also, their parameters are shown in Table 2.
Table 2

Average of rock sample size and density parameters

ParametersUnitC1C2C3C4C5C6
Diameter (Dcm 2.499 2.519 2.509 2.528 2.519 2.520 
Length (Lcm 4.985 4.988 4.990 4.988 4.995 4.989 
Area (Acm2 4.906 4.985 4.946 5.025 4.985 4.985 
Volume (Vcm3 24.458 24.866 24.678 25.063 24.900 24.870 
Mass (M41.91 42.05 43.24 43.63 42.10 42.42 
Density (ρg/cm3 1.714 1.691 1.752 1.741 1.691 1.706 
ParametersUnitC1C2C3C4C5C6
Diameter (Dcm 2.499 2.519 2.509 2.528 2.519 2.520 
Length (Lcm 4.985 4.988 4.990 4.988 4.995 4.989 
Area (Acm2 4.906 4.985 4.946 5.025 4.985 4.985 
Volume (Vcm3 24.458 24.866 24.678 25.063 24.900 24.870 
Mass (M41.91 42.05 43.24 43.63 42.10 42.42 
Density (ρg/cm3 1.714 1.691 1.752 1.741 1.691 1.706 
Figure 1

Rock sample wire-cutting machine and experimental cores.

Figure 1

Rock sample wire-cutting machine and experimental cores.

Close modal

Experimental method

Experimental device

The high temperature and pressure percolation experiment platform is mainly composed of an injection system, model simulation system, metering system, automatic control system, data acquisition, and processing system. The working pressure of the experimental platform can reach up to 60 MPa and the working temperature can reach up to 200 °C. The following steps are required before the experiment begins (Figure 2). In order to exclude the influence of bubble clogging, vacuuming and fulling water should be carried out before the reinjection.
Figure 2

Test equipment and process diagram. (1) Vacuum pump; (2) Vacuum gauge; (3) Vacuum container; (4) and (5) Pressure sensor (10 MPa); (6)–(8) 1 L container with piston; (9) Six-port valve; (10) Sand-filled pipe; (11) Cooler; (12) Back pressure valve; (13) Back pressure container; (14) Pressure gauge; (15) Hand pump; (16) Six-port valve; (17) Core gripper; (18) Electronic scale; (19) Water Container; (20) Hand pump; (21) Pressure sensor (10 MPa); (22) Pressure gauge; (23) Hand pump; (24) incubator (200 °C).

Figure 2

Test equipment and process diagram. (1) Vacuum pump; (2) Vacuum gauge; (3) Vacuum container; (4) and (5) Pressure sensor (10 MPa); (6)–(8) 1 L container with piston; (9) Six-port valve; (10) Sand-filled pipe; (11) Cooler; (12) Back pressure valve; (13) Back pressure container; (14) Pressure gauge; (15) Hand pump; (16) Six-port valve; (17) Core gripper; (18) Electronic scale; (19) Water Container; (20) Hand pump; (21) Pressure sensor (10 MPa); (22) Pressure gauge; (23) Hand pump; (24) incubator (200 °C).

Close modal

Experimental condition

Considering the different temperature gradients caused by low-temperature water and long-term heat extraction, the temperature was set to 25, 35, 45, 55, and 65 °C in this experiment. The depth of the reservoir was about 1,100 m, therefore the surrounding pressure was set to 10 MPa. To fully investigate the effect of water chemistry on clogging during reinjection, and to let the fluid fully contact with the rock sample, the reinjection time was set to 100 h, and the reinjection flow rate was set to 0.5 ml/min (0.0083 cm³/s). The low flow rate was used to avoid the effect of physical clogging caused by particle migration. The experiments were conducted in constant flow mode, and the pressure values at both ends of the cores were collected in real-time to calculate the permeability. The data were collected every 20 s for each group of experiment, and a total of 120,000 data were collected for 100 h. The experimental conditions were set as shown in Table 3.

Table 3

Experimental condition

Rock sampleTemperatureFlow rateSurrounding pressureDisplacement timeFluid type
C1 25 °C 0.5 mL/min 10 MPa 100 h Deionized distilled water 
C2 25 °C Wastewater 
C3 35 °C Wastewater 
C4 45 °C Wastewater 
C5 55 °C Wastewater 
C6 65 °C Wastewater 
Rock sampleTemperatureFlow rateSurrounding pressureDisplacement timeFluid type
C1 25 °C 0.5 mL/min 10 MPa 100 h Deionized distilled water 
C2 25 °C Wastewater 
C3 35 °C Wastewater 
C4 45 °C Wastewater 
C5 55 °C Wastewater 
C6 65 °C Wastewater 

Experimental parameters

According to the Core Analysis Method (GB/T 29172-2012), the Darcy expression for the permeability measured by horizontal laminar flow fluid is:
(1)
(2)
(3)
where μ is the fluid viscosity, mPa·s; k is the permeability of the medium, mD; q is the volume flow rate, ml/min; A is the cross-sectional area of the core, cm2; L is the length of the core, cm; D is the diameter of the core, cm; P1 is the inlet pressure, MPa; P2 is the outlet pressure, MPa; Q is the reinjection volume, cm3; t is the reinjection time.
The permeability measured at a certain time may be influenced by various factors, and the chemical clogging permeability measured in this paper is the permeability excluding the effect of particle transport, suspended particle transport, and water absorption and swelling of clay. It is obtained by measuring the permeability of the reinjection displacement group at a certain time minus the permeability of the control group at that time.
(4)
where: kc is the chemical clogging permeability at a certain moment, mD; kh is the permeability measured at a certain moment of the wastewater reinjection group, mD; kd is the permeability measured at a certain moment of the control group, mD.

Evolution of chemical clogging permeability

The change in permeability k of sandstone in each group during the reinjection is shown in Figure 3, and the change of permeability is larger in the 2 h at the beginning of reinjection. The control group was deionized distilled water, which excluded the water chemical reaction with bubble clogging and biological clogging that occurred in it. At the beginning of the reinjection, the physical clogging was extremely weak. Therefore, the core permeability of the control group measured at the beginning was chosen to be k0 of all sandstone samples in this experiment, which is 63.82 mD.
Figure 3

Permeability k variation in 0–100 h.

Figure 3

Permeability k variation in 0–100 h.

Close modal

From Figure 3, it can be found that the permeability of each group showed a downward trend over time. The permeability of the control group decreased rapidly in the first two days and then decreased slowly. The permeability of the control group decreased by 7.69, 14.28, 33.33, 80, and 84.46% from 63.82 mD at 1, 6, 12, 48, and 100 h, respectively.

The permeability of the control group did not change within the first 25 min of reinjection displacement. This indicates that the physical clogging and water absorption expansion clogging of the rock sample are very weak when it begins to contact with the wastewater. After 25 min, the physical clogging gradually grew, which indicates that the physical clogging and water absorbing expansion clogging developed gradually through the continuous action of the fluid, and the size of the particles became larger and larger. In the first two days, the pore and throat structure changed and caused the clogging, after that, the pore and throat structure was relatively stable and the permeability was maintained at a low state.

The variation of chemical clogging permeability kc is obtained by calculation as shown in Figure 4.
Figure 4

Permeability kc variation in 0–100 h.

Figure 4

Permeability kc variation in 0–100 h.

Close modal

On the whole, kc in all reinjection groups had similar patterns, increasing rapidly in the first 4 h, and the increasing rate gradually decreased. Then kc started to decline rapidly. The rate of decline gradually decreased, and then it stabilized. In the rapid descent stage, the descent speed first increased and then decreased. The kc of 25, 35, 45, 55, and 65 °C reinjection groups reached their maximum value at 3.7, 3.9, 4, 4.2, and 4.3 h, respectively. In the first 20 min of reinjection, the higher the temperature of the wastewater, the more drastic the kc changed. Moreover, in the first 10 min, the kc of 45, 55 and 65 °C reinjection groups showed negative values, indicating that chemical clogging improved permeability. While the kc of reinjection groups at 25 and 35 °C was positive, that is, chemical clogging reduced permeability. After 2 days of reaction, kc of each reinjection temperature group decreased to a relatively stable value. Also, the higher the temperature, the greater the kc.

Composition changes during reinjection

The permeability changes of all reinjection groups are generally similar. Taking the reinjection group at 45 °C as an example, XRD test of rock sample C4 was carried out on rock samples before and after reinjection. The changes in mineral composition in rock samples are shown in Table 4. According to the table, after 100 h of wastewater reinjection, the content of albite, tremolite, montmorillonite, and illite/montmorillonite mixed layer in the rock sample decreased. The content of potassium feldspar, illite, and dolomite increased. Kaolinite content did not change. Quartz content increased slightly (Figures 5 and 6).
Table 4

The mineral content changes before and after reinjectioin

MineralAlbitePotassium feldsparQuartzTremoliteMontmorilloniteIlliteKaoliniteDolomite
Before reinjection 32.49 24.62 24.26 2.47 3.88 0.65 1.78 
After reinjection 26.11 32.3 24.46 1.96 2.77 0.73 1.78 1.13 
Change value −6.38 7.68 0.2 −0.51 −1.11 0.08 1.13 
Change degree −19.64% 31.19% 0.82% −20.65% −28.61% 12.31% 0% – 
MineralAlbitePotassium feldsparQuartzTremoliteMontmorilloniteIlliteKaoliniteDolomite
Before reinjection 32.49 24.62 24.26 2.47 3.88 0.65 1.78 
After reinjection 26.11 32.3 24.46 1.96 2.77 0.73 1.78 1.13 
Change value −6.38 7.68 0.2 −0.51 −1.11 0.08 1.13 
Change degree −19.64% 31.19% 0.82% −20.65% −28.61% 12.31% 0% – 
Figure 5

XRD before reinjection.

Figure 5

XRD before reinjection.

Close modal
Figure 6

XRD after reinjection.

Figure 6

XRD after reinjection.

Close modal
We collected displacement water of 1, 6, 12, 24, 48, 72, and 100 h at the displacement exit, and analyzed their ion concentration and pH. The results of 45 °C reinjection group after normalization are shown in Figure 7. The original wastewater composition and pH are shown in Table 1. As can be seen from Figure 7, in the reinjection process at 45 °C, the pH of the displacement water decreased in the first 1 h. Then the pH gradually increased, 6 h later slightly higher than the original wastewater wastewater. Then, the pH of the displacement water is lower than that of the original wastewater, showing weak alkalinity. After 48 h, the pH of the displacement water was close to the original wastewater, and the reaction was stable.
Figure 7

Normalized ion concentration and pH variation in 0–100 h.

Figure 7

Normalized ion concentration and pH variation in 0–100 h.

Close modal

Taking the 45 °C reinjection group as an example, it is not difficult to find that if we collected displacement water during the whole reinjection process, only the concentrations of Na+, Cl and will be higher than the original wastewater. Although the concentration of K+ increased by 26.5% in 1 h. It was lower than original wastewater for the next 80 h. From the aspect of mineral composition, the minerals containing Na+, Cl and were dissolved during the reinjection. XRD results proved that the contents of albite and montmorillonite decreased by 19.64 and 28.61%, respectively, after reinjection, and both of them contained Na+. Similarly, minerals containing K+, Ca2+, and Mg2+, such as potash feldspar and illite, increased by 31.19 and 12.31%, respectively, after reinjection. The calcite was not detected in the original rock samples, but the content increased to 1.13% after reinjection. In general, when the wastewater at different temperatures was reinjected, the reaction inside the rock sample is roughly the same. The increase in temperature will accelerate the rate of chemical reaction, resulting in more precipitation blocking pores.

Changes in ion concentration during reinjection

The chemical clogging is due to the change in hydrogeochemical balance after the reinjection water enters the geothermal reservoir (Brehme et al. 2018). The composition and structure of water quality and reservoir are changed by water chemical reactions such as dissolution and precipitation. There are many influencing factors of chemical clogging. At present, it is considered that the composition of reinjection water, formation water, mineral composition of geothermal reservoir, temperature, pressure, structure, time, and other factors are the controlling conditions of chemical clogging. (Brehme et al. 2019; Song et al. 2020; Zhang et al. 2021; Gan et al. 2022a).

This study recorded the ion concentrations of Na+, K+, Ca2+, Mg2+, Cl, and the pH at the temperature of 25, 45 and 65 °C (Figure 8). The results indicated that the concentration of Na+ in the displacement water was higher than in the original wastewater. Increasing temperature can promote the dissolution of minerals containing Na+. The concentration of K+ decreased with the increase of temperature before 6 h, and the concentration of 25 °C reinjection group was lower than that of the original wastewater. Gan et al. (2022a; 2022b) observed similar results after 8 h of reinjection. However, they only tested the elements changes before and after the reinjection. We selected seven moments for continuous testing. In our study, the concentration of K+ in the displacement water increased with the increase in temperature, and the concentration of 65 °C reinjection group was lower than the original wastewater after 72 h. The concentrations of Cl and were higher than the original wastewater, and the change was dramatic in the first hour. Both Cl and concentrations increased with increasing temperature except Cl concentration decreased with increasing temperature from 6 to 48 h. The pH of the displacement water changed frequently in the first 24 h and then became stable. The pH of the 65°C reinjection group was lower than that of the original wastewater, indicating that high temperature promoted the production of H+.
Figure 8

Ion concentration and pH variation in 0–100 h.

Figure 8

Ion concentration and pH variation in 0–100 h.

Close modal

Dissolution and precipitation of minerals

The essence of ion concentration change in displacement water was the dissolution and precipitation of minerals. When the albite (NaAlSi3O8) encounters K+ in the wastewater, it will dissolve and react to form illite, and release Na+. Yang et al. (2022a, 2022b) found the reduction of albite content after 63 days of reinjection was 13.97%. Our XRD results of 45 °C reinjection group showed that the albite decreased by 19.64% and illite increased by 12.31%. As can be seen from the ion concentration in displacement water, the higher the temperature, the faster the reaction. The chemical reactions are provided as following equation:
(5)
Ngwenya et al. (1995) observed that the potash feldspar is dissolved at the displacement inlet and precipitated at the exit. Our results of XRD showed that potassium feldspar increased by 31.19% at 45 °C. Also, the ecreasing of pH in displacement water indicates that the reaction moves toward the formation of potassium feldspar. The chemical reactions are provided as the following equations:
(6)
(7)
Montmorillonite ((Na,Ca)0.33(Al,Mg)2[Si4O10](OH)2·nH2O) contains K+, Na+, Ca2+, and Mg2+. It will promote the formation of carbonate precipitation and sulfate precipitation during the dissolution process. The XRD of 45-°C reinjection group showed that montmorillonite decreased by 28.61% and calcite was not detected before reinjection, but 1.13% after reinjection. wastewater contains large amounts of and , which can promote the dissolution of tremolite to form carbonate and sulfate precipitation The XRD of 45°C reinjection group showed that the tremolite decreased by 20.65%. The chemical reactions are provided as Equations (8)–(11):
(8)
(9)
(10)
(11)

The precipitation of minerals is affected by the temperature, especially the carbonate precipitation. Its solubility decreases with increasing temperature (Pokrovsky et al. 2009; Ma et al. 2017). On the contrary, the solubility of sulfate minerals such as gypsum (CaSO4) increases with increasing temperature (Pape et al. 2005).

To reduce the impact of chemical clogging, low-temperature wastewater should be used for reinjection (He et al. 2018; Kamila et al. 2021; Gan et al. 2022a). High-temperature wastewater can only dissolve some minerals in the reservoir at the beginning, temporarily improving the permeability of the reservoir. In the end, due to higher temperature, the chemical reaction in the reservoir is accelerated, which will reduce the reservoir permeability more. In addition, Ca2+ and Mg2+ can be removed before reinjection, which can avoid the decline of permeability caused by the production of potash feldspar, illite, and calcite.

In this paper, the permeability evolution of weakly consolidated sandstone in the process of wastewater reinjection at different temperatures was analyzed through reinjection and hydrochemical experiments. The main conclusions are as follows:

  • The permeability of the rock samples was 63.821 mD, and the permeability decreased due to chemical clogging at the end of reinjection. It decreased faster in the first 2 days. After 100 h of reinjection, the permeability of rock samples C1–C6 decreased to 15.39, 13.64, 11.68, 10.71, 7.87 and 5.68%, respectively.

  • In this paper, we used the permeability of wastewater reinjection group minus the permeability of the control group at a certain moment as chemical clogging permeability kc to express the degree of chemical clogging during reinjection. If the wastewater temperature reached 45 °C or higher, the chemical clogging permeability will be negative in the first 10 min, so that the reservoir permeability can be temporarily improved. After that, the chemical clogging permeability became positive, and the higher the temperature, the more clogging will eventually be caused.

  • Compared with the original wastewater, the concentration of Na+, Cl and in the displacement water increased, while the concentration of K+, Ca2+, and Mg2+ decreased finally. It is suggested that the chemical clogging of reinjection is mainly caused by potash feldspar and illite, calcite, and other carbonate precipitation. As the temperature increased, the chemical clogging in rock samples became worse. To reduce the influence of chemical clogging, it is recommended to adopt low-temperature reinjection for the low TDS of wastewater in the Lubei area, and reducing the concentration of Ca2+ and Mg2+ in wastewater before reinjection is also beneficial for reducing chemical clogging.

This research work was supported by National Key R&D Program of China (Grant Number 2019YFB1504201).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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