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Article

Geological Conditions and Suitability Evaluation for CO2 Geological Storage in Deep Saline Aquifers of the Beibu Gulf Basin (South China)

1
Qingdao Institute of Marine Geology, China Geological Survey, Qingdao 266071, China
2
Laboratory for Marine Mineral Resources, Laoshan Laboratory, Qingdao 266071, China
3
Liaoning Metallurgical Geological Exploration Research Institute Co., Ltd., Anshan 114038, China
*
Authors to whom correspondence should be addressed.
Energies 2023, 16(5), 2360; https://doi.org/10.3390/en16052360
Submission received: 13 January 2023 / Revised: 23 February 2023 / Accepted: 26 February 2023 / Published: 1 March 2023
(This article belongs to the Special Issue Geological Carbon Sinks and Sequestration)

Abstract

:
The geological storage of carbon dioxide (CO2) is the most suitable option to achieve a large-scale and low-cost CO2 emissions worldwide, but the selection of favorable areas for the geological storage is the main issue. In this study, evaluation indicators were selected considering four aspects, namely geological conditions, storage potential, hydrogeological conditions, and engineering conditions, based on drilling, geophysical, and geochemical data from the Beibu Gulf Basin. The analytical hierarchy process and the fuzzy comprehensive evaluation method were used to evaluate the suitability of this basin for geological storage of CO2. The results suggested that: (1) the Beibu Gulf Basin is suitable for CO2 geological storage, and the evaluation grade is the highest rating level; (2) considering the techno-economic feasibility, it is necessary to select the target area for CO2 geological storage with suitable burial depth, superior reservoir conditions, proximity to the CO2 collection device, and a high degree of exploration.

1. Introduction

With the excessive emission of CO2, the greenhouse effect has remarkably intensified, and global climate change is one of the most serious challenges [1,2]. The key technologies for reducing CO2 emissions are carbon capture, use, and storage (CCUS or CCS) [3,4]. Research on CO2 geological storage has become a focus area in geological exploration [4,5]. CO2 geological storage technology is a promising technology for achieving a dual-carbon target in China [6,7,8,9,10]. The scientific principle of CO2 geological storage involves the injection of supercritical CO2. When the temperature is higher than 31.1 °C and the pressure is higher than 7.38 MPa, CO2 enters the supercritical state, into saline aquifers in sedimentary basins, depleted oil and gas fields, and coal seams without commercial exploitation value [11,12,13,14]. Therefore, the burial depth of saline aquifers that store CO2 should generally be ≥800 m. In addition, there must be high-quality reservoirs for large-scale CO2 storage near storage sites, and stable regional caprocks (or aquifers) above the reservoirs to prevent direct leakage of CO2 [7]. Recent studies showed a huge potential for geological storage of CO2 in deep saline aquifers in China, accounting for 96.6% of the storage potential, far exceeding that of oil fields, natural gas fields, and coalbed methane fields. It can be considered the primary pathway to realize large-scale CO2 geological storage in China [8,15,16,17,18].
The CO2 emissions from coastal cities in China have been increasing with continuous economic development. However, due to the small scale, poor reservoir quality, and dense population of adjacent land, it is not suitable for long-term storage of large amount of CO2 [10]. In contrast, a series of large sedimentary basins are developed in offshore areas of China, with sufficient sedimentary thickness, relatively good combinations of reservoir and cap rock, well-developed traps, and favorable geological conditions for CO2 storage. The theoretical storage capacity of deep saline aquifers in China is 143.5 × 109 t; among them, the storage potential of marine sedimentary basins, eastern continental basins, western continental basins, central continental basins, southern continental basins accounted for 27.33%, 31.88%, 20.33%, 10.49%, and 9.97% of the total potential, respectively [10,18,19]. In addition, saline aquifers in the sedimentary basin are widely distributed, stable, and have great storage potential, which confirms their suitability for implementing offshore CO2 geological storage. The Beibu Gulf Basin is located to the south of Guangxi Province and is a Cenozoic petroliferous basin with a large offshore area in China that provides potential conditions for CO2 geological storage. Therefore, it is important to further analyze the suitability of the geological storage of carbon dioxide in the area.
Owing to more than half a century of oil and gas exploration, a series of small- and medium-sized oil and gas fields and oil-bearing structures have been discovered in the Beibu Gulf Basin, which have been put into development and production, becoming a major oil and gas source in the shallow-water area of the northern continental shelf of the South China Sea. More than 100 exploration wells have been drilled in the Weixinan, Haizhong, and Wushi Sag in the Northern Depression, but most exploration activities are concentrated in the Weixinan Sag [20,21]. The Beibu Gulf Basin is an area to be evaluated due to its low degree of exploration and relatively limited data. Therefore, the implementation of CO2 geological storage technology in the Beibu Gulf Basin can effectively alleviate the pressure of CO2 emission reduction in neighboring provinces, which is important to achieve CO2 emission reduction targets. Studies on the suitability of quantitative CO2 geological storage in basins are still in the exploratory stage. In this study, the deep saline aquifer in the Beibu Gulf Basin was used as the case study, and the geological conditions, reservoir-cap rock characteristics, geothermal field characteristics, and hydrogeological conditions of the geological storage in this area were investigated. Based on the evaluation of its storage conditions, the analytic hierarchy process and the comprehensive fuzzy evaluation method were used to quantitatively evaluate the suitability of CO2 geological storage in the deep saline aquifer in this area, which provides technical support for the next step of potential evaluation, target area screening, site selection, and demonstration project construction. This study has an important exploration significance for China to achieve low-carbon emission and carbon neutrality.

2. Geological Conditions of Geological Storage in the Beibu Gulf Basin

2.1. Regional Geological Characteristics

The Beibu Gulf Basin, with an area of 5.15 × 104 km2, is adjacent to the Leizhou Peninsula and Hainan Island in the east, the Yunnan-Guizhou Plateau in the north, and Hainan Island in the south. The seabed topography of the Beibu Gulf Basin is flat and the seawater depth is shallow, ranging from 0 to 55 m, with characteristics of shallow north and deep south.
The Beibu Gulf Basin is located in the Red River strike-slip fault zone between the Guangdong-Guangxi Paleozoic fold belt and the Hainan fold belt at the southern end of the Yangtze plate. It is an intracontinental rift basin formed under the background of Cenozoic intracontinental extensional tectonic development. It is divided into three secondary tectonic units, namely the southern Depression, the Qixi Uplift, and the northern Depression. It is mainly composed of seven sags, namely, Weixinan, Wushi, Maichen, Haizhong, Leidong, Fushan, and Haitoubei [22] (Figure 1). The Beibu Gulf Basin has primarily experienced the Shenhu, South Sea, and Dongsha movements, forming a typical double-layer basin structure of first fault and then depression. The present basin structure reflects the superposition effect of multistage tectonic movements [21,23] (Figure 2). From the Early Jurassic to the Paleogene, the Beibu Gulf Basin was in a long-term uplift state and suffered from denudation. Influenced by the expansion of the South China Sea and the activities of the surrounding boundary faults in the Paleogene, an extensional fault depression occurred and gradually evolved into the present tectonic framework of the Beibu Gulf Basin [24].
As the Beibu Gulf Basin is close to the edge of the plate, affected by collision and separation, its tectonic activity is slightly stronger and faults are developed primarily in the NE and NEE directions [25]. The primary nature of the fault is a normal fault, developed entirely in the early Paleogene, the Beibu Gulf tension crack, resulting in rift and basin formation. By the early Neogene, fault activities had stopped. The major faults developed constituted the boundary of the basin and control the development of secondary tectonic units in the basin.
Earthquake activity is strongest in the plate suture zone or plate edge [26,27]. The crust of the Beibu Gulf Basin is relatively stable, and there was weak seismic activity in the early Quaternary. Only one earthquake with a magnitude of 6–7 occurred in the north of the South China Sea.

2.2. Stratigraphic Characteristics

The formation and evolution of the Beibu Gulf Basin showed the characteristics of first faulting and then depression [30]. During the Paleogene continental fault depression period, the Paleocene, Eocene, and Oligocene (Changliu Formation) Liushagang Formation, and Weizhou Formation, were dominated by fluvial-lacustrine half-graben deposits. These deposits are primarily filled with shallow lacustrine facies, semi-deep or deep lacustrine facies, and fluvial facies, forming lacustrine and coal source rocks and continental reservoir-caprock assemblage types. During the periods of thermal subsidence of the Miocene and Pliocene, the basin primarily deposited the Lower Miocene Xiayang Formation, Miocene Jiaowei Formation, the Upper Miocene Dengloujiao Formation, and the Pliocene Wanglougang Formation [31].

2.3. Reservoir-Caprock Characteristics

The Beibu Gulf Basin has experienced a complete sedimentary cycle from the appearance, development, and extinction of the lake basin in the Paleogene, and the whole area of the Neogene underwent a marine transgression to form a marine sedimentary cycle, which controlled the formation of multiple reservoir-cap associations. Reservoirs are widely distributed in the Beibu Gulf Basin, comprising sandstone and carbonate rocks [32], and sandstone reservoirs are mainly composed of sandstones deposited in braided river deltas, fan deltas, meandering river deltas, sublacustrine fans, and littoral-neritic facies [21]. These can be further divided into the Neogene marine sandstone reservoirs and the Paleogene continental sandstone reservoirs. Marine sandstone reservoirs are mainly marine sandstones of the Miocene Xiayang and Jiaowei Formations with over 20% porosity, several hundred millidarcies of permeability, and the highest can exceed 10,000 millidarcies, showing relatively good reservoir properties [33,34,35]. In contrast, the continental sandstone reservoirs are mainly lacustrine sandstones of the Eocene Liushagang Formation and the Oligocene Weizhou Formation. The porosity was 15−35%, and the permeability was 40–3000 × 10−3 μm2, with good reservoir properties [36,37]. The thick mudstones developed into different layers, such as the Eocene Liushagang Formation, Oligocene Weizhou Formation, and Miocene Jiaowei Formation, can be used as regional caprocks. The Liushagang Formation is dominated by semi-deep lacustrine-deep lacustrine deposits, and the Weizhou Formation is dominated by delta-shallow lacustrine deposits, with a large set of semi-deep lacustrine-deep lacustrine mudstone developed. During the deposition period of the invasion of the Liushagang Formation, the lake reached its maximum, and thick dark mudstone was deposited almost throughout the depression, forming an important set of regional cover in the Beibu Bay Basin, with a maximum thickness of 350 m.
According to the distribution characteristics of reservoir-caprock assemblages, the Beibu Gulf Basin can be divided into two sets of effective reservoir-caprock combinations. The river-marsh facies and shallow lake facies sandstones of the Liushagang Formation are good reservoir-caprocks, and the river-marsh facies and littoral-neritic facies sandstones of the Weizhou Formation–Xiayang Formation are relatively good reservoir-caprocks (Figure 3).

2.4. Geothermal Field Characteristics

The geothermal gradient of the strata in different offshore areas of China is considerably different, and that in the stable continental shelf area is low. In the deep-water area, the geothermal gradient was higher, and the basin was relatively hot. The geothermal gradient is high in the northern South China Sea due to the strong thermal effect of the deep high-temperature mantle on the continental margin [36,38]. The Beibu Gulf Basin has a high geothermal gradient, with an average geothermal gradient reaching 3.72 °C/100 m. However, the geothermal characteristics of different depressions vary considerably, and their regional distribution is remarkably uneven. The average geothermal gradient of the Weixinan, Haizhong, Wushi, and Haitoubei sags is 3.86, 3.35, 3.50, and 3.25 °C/100 m, respectively [39]. Basins with geothermal gradients lower than 30 °C/km can be classified as cold basins, basins with geothermal gradients between 30−50 °C/km can be classified as sub-cold-sub-hot basins, and basins with geothermal gradients greater than 50 °C/km can be classified as hot basins [40]. The Beibu Gulf Basin is classified as a sub-cold-sub-hot basin.
Heat flow refers to heat transferred from the interior of the Earth to the surface of the Earth per unit area per unit time. Compared to other geothermal parameters, terrestrial heat flow can more accurately reflect the characteristics of the geothermal field [41]. Overall, the terrestrial heat flow value in the northern part of the South China Sea is 60–80 mW/m2, whereas the average terrestrial heat flow in the Beibu Gulf Basin is 61.7 mW/m2 [42]. The terrestrial heat flow in the Beibu Gulf Basin is affected by plate movement and generally presents a high distribution pattern in the northeast (70–100 mW/m2) and a low distribution pattern in the southwest (50–70 mW/m2) (Figure 4).

2.5. Hydrogeological Conditions

The process of CO2 storage in the reservoir is affected by numerous factors, such as the temperature and pressure conditions of the rock strata and geochemistry, which are primarily related to the hydrogeological characteristics of sedimentary basins [43]. Therefore, appropriate hydrogeological conditions are also necessary for safe storage of CO2 [44,45]. The ion content in formation water can be used to analyze the chemical composition, formation conditions, and influencing factors of formation water, and to understand the interactions between formation water and rocks.
The results of oilfield formation water analysis in the Beibu Gulf Basin showed a salinity of 5.60–39.50 g/L, close to that of modern seawater (35 g/L), and thus there is no obvious vertical zonation (Table 1). In the conventional ion combination, the study area is relatively rich in HCO3 and poor in SO42−, rich in Ca2+, and poor in Mg2+. The contents of Na+ and K+ were much higher than those of Ca2+ and Mg2+, and the content of Cl was much higher than SO42− and HCO3. The proportions of Na+, K+, and Cl were high and obviously higher than the mass concentration of the present seawater, which indicates that the formation water type is mainly NaCl.
In addition, the combined characteristics of various chemical parameters of oilfield formation water reflect the characteristics of oil and gas accumulation and preservation. The sodium chloride coefficient (rNa+/rCl) is the key parameter that reflects the formation sealing and metamorphic degree of oilfield water. If the sodium chloride coefficient is greater than 0.87, and the salinity is high, it may be sedimentary water or metamorphic seepage water; if the sodium chloride coefficient is less than 0.87, it may be metamorphic sedimentary water or highly metamorphic permeable water [46,47,48]. It is generally believed that the better the sealed formation water is, the more concentrated it is. When the depth of metamorphism is, the smaller the sodium chloride coefficient (Na+/Cl) ratio, the more conducive it is to oil and gas preservation. The sodium chloride coefficient of the Beibu Gulf Basin is between 0.66 and 0.74, with a low sodium chloride coefficient, indicating that the formation water is well sealed. Based on hydrogen and oxygen isotope analysis of the formation water in the Beibu Gulf Basin, the formation water originates from seawater, which may be the same generation and sedimentation water directly buried in the sea. During its evolution, the formation water experienced little evaporation and precipitation recharge [49]. According to the analysis of formation water characteristics in the Beibu Gulf Basin, the internal and external water are independent of each other and are affected by fluid-rock interaction and concentration metamorphism, forming the typical characteristics of relatively closed, lack of supply, and high mineralization. To some extent, this shows that the target intervals of the Beibu Gulf Basin belong to a relatively closed formation water environment, which is another favorable factor for safe and effective CO2 storage.

3. Materials and Methods

3.1. Data Sources

The data used in this study were derived from the published literature. In 2010, the Cenozoic isopach map and the structural map of the Atlas of Petroleum Basins in China’s Seas were published. The degree of oil and gas exploration and development of the basin and the physical parameters of the reservoir in the mineral right block were obtained primarily from the public literature published by commercial oil companies and scientific research institutes. Ground temperature field data were obtained from the official website of the International Heat Flow Commission (IHFC). The drilling, oil, and gas field details were sourced from China’s offshore oil and gas information management system.

3.2. Analytical Hierarchy Process (AHP) and Fuzzy Synthetic Evaluation Method

During the analysis of carbon dioxide geological sequestration factors, it was found that suitability evaluation is affected not only by qualitative factors, such as structural characteristics, exploration degree, and volcanic activity, but also by quantitative factors such as reservoir thickness, reservoir physical properties, and offshore distance. To research the influence of qualitative and quantitative factors, a composite method combined with an AHP and fuzzy synthetic evaluation was used to assess the suitability of geological storage. The method assigns the correct weight coefficients to different influencing factors and establishes a mathematical model among the evaluation result (B) of the single factor evaluation standard matrix, weight coefficient (W), and the evaluation score (R) using Equations (1) and (2).
B = W R
b 1 , b 2 , , b i , b n = w 1 , w 2 , , w i , , w m × r i j m n
Using the fuzzy synthetic evaluation method to conduct qualitative and quantitative grade evaluations for each factor, objective, and reasonable evaluation results can be obtained [50,51]. In this composite evaluation model, a reasonable hierarchical structure was established using the AHP method and a pairwise judgment matrix was established using the expert scoring method. After normalization processing and consistency analysis, an unreasonable matrix was excluded, and other weight matrices were averaged to obtain the final weight of each element. The fuzzy synthetic evaluation method was then used to determine the evaluation level criteria for each factor according to the hierarchy established using the AHP method. According to the actual experiment or usage, the index level was judged using the expert scoring method and the evaluation result set was established through the calculation of the membership degree. Finally, the weight of each factor and its grade weight were combined, and the grade judgment of the target layer was obtained according to the principle of the maximum membership degree. Considering the deterministic and uncertain factors, the weight and evaluation of each index were determined to obtain a comprehensive quantitative evaluation result.

3.3. CO2 Storage Evaluation System

The suitability evaluation of CO2 geological storage is based mainly on three aspects including the preconditions for storage, the importance of storage, and stability of CO2 under storage. Based on previous studies on carbon storage, carbon storage site selection evaluation and CO2-fluid-rock reaction [51,52,53,54,55], four first-grade indexes, including geological conditions, storage potential, hydrogeological conditions, and engineering conditions, were selected as the suitability indices for carbon storage in the Beibu Gulf Basin. Each first-grade index includes multiple second-grade indices, including both deterministic indicator factors, such as the burial depth of the reservoir and caprock, and uncertain indicator factors, such as the impact of earthquakes (Table 2).
The suitability evaluation of CO2 geological storage includes several influencing factors. This study used the analytic hierarchy process to determine the line index factors and then used the fuzzy synthetic evaluation method to research the deterministic and non-deterministic factors to identify the weight and evaluation of each index to obtain a quantitative comprehensive evaluation result.
The evaluation objects were layered to build a hierarchical model, as shown in Table 3. The AHP and the judgment matrix were used to calculate the weights of each evaluation index. The 1–9 scale was used to score the first level based on the importance of the first-level indicators at the target level. The judgment matrix of each first-level index for the target layer was then listed, and the weight of each index of the first level was obtained using the judgment matrix. The weight of the second-level index in the first-level index was obtained similarly. Finally, the second weight matrix was multiplied by the first weight matrix to obtain the weight of each evaluation index.

4. Results

4.1. Weight Values for the Indexes

4.1.1. First-Index Weight

The weight of each index at the first level was calculated using the A-B judgment matrix. Because first-level indicators are classified according to the four directions of prerequisites for storage, significance of storage, stability of carbon dioxide in the storage state, and engineering conditions for storage implementation, they can be regarded as four equally important indicators. The judgment matrix is shown in Table A1 (where W is the normalized weight).

4.1.2. Second-Index Weight

Through expert scoring, the relative importance of each index at the same level in the evaluation model was judged, and these judgments were represented using numerical values by introducing appropriate scales to form a judgment matrix.
B1-Ci(i = 1–8) judgment matrix: Table A2 shows a judgment matrix of the factors that affect geological conditions.
B2-Ci(i = 9−13) judgment matrix: Table A3 shows a judgment matrix of the factors that affect the storage potential.
The B3-Ci(i = 14−16) judgment matrix: Table A4 shows a judgment matrix of the factors of hydrogeological conditions.
The B4-Ci(i = 17−19) judgment matrix: A judgment matrix of the factors influencing the engineering conditions is shown in Table A5.

4.2. Membership in the CO2 Geological Storage Index

According to the evaluation factor grade standard, the membership function was constructed using ascending (or descending) semi-trapezoidal and rectangular curves. For the quantitative index with a higher value and higher suitability grade, the ascending semi-trapezoidal distribution membership function was used, and for quantitative indicators with smaller values and higher suitability levels, the membership function of the reduced half trapezoidal distribution was adopted. The suitability evaluation set had a continuous interval [0, 1]. The suitability grade of the CO2 geological storage was classified as Grade I [0.75, 1], Grade II [0.5, 0.75], Grade III [0.25, 0.5], and Grade IV [0, 0.25]. The membership function of Grade I was the ascending trapezoidal membership function, whereas the membership function of Grade IV was the descending trapezoidal membership function. In addition, the membership functions of Grades II and III were triangular distribution membership functions.
If the membership degree of an indicator was (0.7, 0.3, 0, 0,), then the degree of belonging to Grade I was 0.7, and that for Grade II was 0.3. The membership function for each level is shown in Figure 5.
The scoring results of each index are shown in Table A6.

4.3. CO2 Storage Suitability in the Beibu Gulf Basin

The evaluation matrix and weight of each index were established through the analytic hierarchy process according to the actual situation of the Beibu Gulf Basin. The suitability of CO2 geological storage in the Beibu Gulf Basin was evaluated by comprehensively considering the geological conditions, storage potential, hydrogeological conditions, and engineering conditions. The results showed that the membership degree of CO2 geological storage suitability in the Beibu Gulf Basin was (0.85, 0.09, 0.07, and 0), which is the ascending trapezoid membership function, and the evaluation grade was grade I (Table 4). This indicates that the Beibu Gulf Basin is suitable for CO2 storage.

5. Discussion

CO2 geological storage is preliminarily screened according to the reservoir, reservoir fluid characteristics, and basic conditions, and the corresponding storage suitability index system is formulated according to the characteristics of the stored geological body and the purpose of the assessment [56,57]. A series of evaluation index systems consider regional geology, storage safety, and environmental risks. Some evaluations in recent years have further considered the health, safety, and environmental risks of CO2 geological storage [58,59]. Based on the established evaluation indicators, the suitability evaluation of CO2 geological storage was conducted by comprehensively considering the technical (reservoir physical properties, temperature, and pressure conditions) and economic (distance from CO2 capture device, exploration degree, and formation depth) aspects to provide a reference for the site selection of CCUS demonstration projects in China.

5.1. Stratigraphic Depth

During the optimization of favorable areas for CO2 geological storage, the buried depth of the stratum should not be too shallow, considering the storage effect and storage cost. If the buried depth is too deep, the construction cost will increase sharply, whereas if the buried depth is too shallow, CO2 leakage may occur. Therefore, it is necessary to select an appropriate burial depth for CO2 geological storage. Theoretical studies show that the critical temperature and pressure of CO2 entering the supercritical state are 31.1 °C and 7.38 MPa, respectively [60]. The geological storage of the CO2 supercritical state requires regional caprocks buried below 800 m, continuous spatial distribution, relatively large thickness, completeness, impermeable rock formation, no penetrating brittle fracture development, and good airtightness [61]. Saline aquifer storage usually requires CO2 to be stored underground in a supercritical state, as it usually reaches 800 m below the surface to maintain the stability and safety of CO2 storage. Therefore, the buried depth of the strata must exceed 800 m to ensure that the injected CO2 is in a supercritical state. The Beibu Gulf Basin contains two sets of carbon-storage layers. The bottom depth maps of the Neogene and Paleogene strata (Figure 6) suggested that such buried depth conditions can ensure that the injected CO2 is in a supercritical state, which provides favorable buried depth conditions for the effective injection and storage of CO2.

5.2. Reservoir Petrophysical Property

The size of the formation storage space is a key factor in determining the amount of CO2 geological storage. When CO2 geological storage is favorable, reservoir conditions are one of the most important factors to be considered. The main characterization parameter of reservoir conditions is porosity, which is controlled mainly by diagenesis. The study shows that the Cenozoic strata below 2000 m are in the Eodiagenetic stage [62]. Under compaction and cementation, reservoir porosity decreased with increasing depth. A burial depth of 2000–3200 m is the early stage of Mesodiagenesis. The soluble components of sandstone are dissolved by organic acids, forming numerous secondary pores, thus improving the petrophysical properties of the reservoirs. The porosity of the reservoirs can reach 15–25%. The reservoirs in the Beibu Gulf Basin are dominated by sandstones, with a total thickness of 100−300 m. The porosity is 10–24%, and the permeability is 1 × 10−3–13.665 × 10−3 μm2. Therefore, it can be considered as a potential carbon dioxide reservoir (Table 5).

5.3. Temperature-Pressure Conditions

PetroMod (2016) software was used to construct a basin model to simulate the hydrocarbon generation, expulsion, and accumulation processes of Cenozoic source rocks in the Beibu Gulf Basin. The main input parameters included formation thickness, lithology, geological age, denudation event, surface temperature, geothermal gradient, and boundary conditions of the hydrocarbon-bearing system, such as heat flow, paleo-water depth, and sediment-water interface temperature.
The Beibu Gulf Basin is located in the continental shelf area of the South China Sea, with an average geothermal gradient in this area of approximately 3.4 °C/100 m, the sea bottom temperature is generally 4 °C, and the stratum temperature 800 m below the sea bottom meets the critical temperature condition of 31.1 °C. The average seawater density in the offshore area is 1020–1030 kg/m3, the hydrostatic pressure gradient is 0.99–1.01 MPa/100 m, and the formation pressure 800 m below the sea floor meets the conditions of 7.38 MPa supercritical pressure [58]. The simulation results showed that when the buried depth of the Beibu Gulf Basin is 800 m, the formation temperature is 32.5 °C, the pressure is 7.52 MPa, and thus the temperature and pressure conditions for CO2 geological storage were determined (Figure 7 and Figure 8). This shows that the modern underground pressure field in the Beibu Gulf Basin belongs to the normal pressure system, and the temperature field belongs to a medium-low temperature system. The CO2 stored in the carbon reservoir of the Beibu Gulf Basin is in a supercritical state (T > 31.1 °C; p > 7.38 MPa), which provides suitable temperature and pressure conditions for effective CO2 injection and storage.

5.4. Distance from the CO2 Source

The distance from the CO2 capture device determines the cost of implementation of the CCS project. Being too far away will increase the transportation cost, which is not conducive to the development of CO2 geological storage projects. Therefore, the area close to the CO2 source will be selected as much as possible to implement geological CO2 storage. The provinces of Guangdong, Guangxi, and Hainan have developed industries, with high-emission heavy chemical industries accounting for a large proportion. For example, the scale of carbon emissions in western Guangdong (Zhanmaoyang) is approximately 70 million tons of CO2 per year, making it the second largest CCUS cluster in Guangdong Province. The CO2 storage capacity is limited due to the small scale, shallow burial, and lack of carbon burial conditions of continental sedimentary basins in South China. In such cases, the CO2 storage potential of offshore basins is more important to surrounding economic areas. Compared with the Pearl River Mouth Basin, the Beibu Gulf Basin is closer to the coastal industrial zone, with obvious advantages in terms of source and sink, which belong to near-source carbon burial. Although the oil fields in the Beibu Gulf Basin are generally small in scale, low in reserves, and small in effective storage capacity, their deep saline aquifers can provide huge potential for CO2 storage and have better conditions for CCUS-EOR and saltwater layer storage. The storage potential of an underground saline aquifer in Wushi Sag in the Beibu Gulf Basin is approximately 6.8 billion tons, that in Leidong Sag it is approximately 4.2 billion tons, and that in Weixinan Sag it is approximately 4.7 billion tons [28]. To obtain low-cost CO2, the selection of storage sites should first consider areas close to modern coal chemical projects, where CO2 capture units have been deployed.

5.5. Degree of Petroleum Exploration

When selecting favorable areas for CO2 geological storage, sites with high degrees of exploration were selected to carry out CCS projects for economic considerations. By selecting areas with high degrees of exploration, we can fully use the existing exploration data to select the most suitable blocks for CO2 geological storage and design a better construction plan. We can also fully use existing drilling, CO2 transportation, and injection infrastructure to reduce engineering costs.
The Beibu Gulf Basin is primarily composed of seven sags, namely, Weixinan, Wushi, Maichen, Haizhong, Leidong, Fushan, and Haitoubei. The oil and gas exploration activities in this area have been concentrated in the Weixinan Sag and some blocks of the Wushi sag for numerous years. However, the degree of oil and gas exploration and geological research in Maichen, Haizhong Sag, and most areas of the Wushi Sag are low, with only some exploration wells and no commercial oil and gas discoveries (Figure 9). In recent years, rapid progress has been made in oil and gas exploration and geological research in the Fushan sag. Although the PetroChina Southern Oil and Gas Exploration Company has found small- and medium-sized oil and gas fields in this area and built an oil and gas production capacity with an annual output of 300,000 tons of oil equivalent, the overall level of oil and gas exploration and production is still low. Leidong Sag has been discovered and implemented as a sag for oil and gas exploration by CNOOC in recent years. Some exploration wells have been drilled; however, no breakthroughs have been made in oil and gas exploration. Although over 10 small- and medium-sized oil fields and multiple oil and gas structures have been found in the Weixinan, Wushi, and Fushan sags in the Beibu Gulf Basin, and good oil and gas shows have also been found in the Maichen Sag and other areas with a low degree of oil and gas exploration, the overall degree of oil and gas exploration and production in the basin is still low. Except for some blocks in the Weixinan, Wushi, and Fushan sags with a relatively high degree of oil and gas exploration and production, the remaining sags are still in the early stages of regional geological evaluation in oil and gas exploration.

6. Conclusions

(1) Based on the requirements of the deep saline aquifer CO2 storage project considering geological conditions and three aspects of the prerequisites for storage, significance of storage, and stability of carbon dioxide in the storage state, four first-level indicators, namely geological conditions, storage potential, hydrogeological conditions, and engineering conditions, were considered. Nineteen second-level indicators, including structural characteristics, faults, reservoir thickness, and formation water types, were selected as the index system for the suitability evaluation of carbon dioxide geological storage in the Beibu Gulf Basin.
(2) The suitability of CO2 geological storage in deep saline aquifers of the Beibu Gulf Basin was quantitatively evaluated using an analytic hierarchy process and fuzzy synthetic evaluation method. The results showed that the suitability of geological storage in this area was Grade I, and the membership degrees were (0.84, 0.09, 0.06, and 0.01), indicating that the Beibu Gulf Basin is suitable for CO2 geological storage. Considering the technical and economic considerations of CO2 geological storage, it is necessary to optimize the target area of CO2 geological storage in areas with a suitable burial depth of strata, superior reservoir conditions, close distance to CO2 gathering devices, and a high degree of exploration to provide a scientific basis for the selection of CO2 storage sites and the construction of geological storage projects. Further optimization of the evaluation index system will be the future research direction, which may be beneficial to improving the suitability evaluation for CO2 geological storage in deep saline aquifers.

Author Contributions

Conceptualization, J.W. and Y.Y.; methodology, J.W. and W.Z.; writing—original draft, J.W., J.C., J.L. and J.Z.; writing—review and editing, Y.Z.; supervision, J.C. and J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was jointly supported by the Laoshan Laboratory, grant numbers 2021QNLM020001-4 and 2021QNLM020001-1; China Geology Survey Project, grant number DD20221723; the National Natural Science Foundation of China, grant numbers 41776075, 42076220, and 42206234; the Natural Science Foundation of Shandong Province, grant number ZR2020QD038; the Major Basic Research Projects of Shandong Province, grant number ZR2021ZD09. The APC was funded by the Qingdao Institute of Marine Geology, China Geological Survey.

Data Availability Statement

All the data and materials used in this study are available from the corresponding authors upon request.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. A-B Judgment Matrix and Consistency Test.
Table A1. A-B Judgment Matrix and Consistency Test.
AB1B2B3B4WBn(n = 1~4)
B111110.25
B211110.25
B311110.25
B411110.25
Rmax = 4 CI = 0 RI = 0.9 CR = 0 < 0.1
Table A2. B1-Ci(i = 1–8) Judgment Matrix and Consistency Test.
Table A2. B1-Ci(i = 1–8) Judgment Matrix and Consistency Test.
B1C1C2C3C4C5C6C7C8WCi(n = 1−8)
C1133161130.1915
C21/3111/321/31/310.0639
C31/3111/321/31/310.0639
C4133151130.1875
C51/61/21/21/511/61/61/20.0327
C6133161240.2212
C7133161/2130.1778
C81/3111/321/41/310.0615
Rmax = 8.0507 CI = 0.0072 RI = 1.41 CR = 0.0051 < 0.1
Table A3. B2-Ci(i = 9−13) Judgment Matrix and Consistency Test.
Table A3. B2-Ci(i = 9−13) Judgment Matrix and Consistency Test.
B2C9C10C11C12C13WCi(n = 9−13)
C9131610.2951
C101/311/331/20.1169
C11131510.2850
C121/61/31/511/40.0514
C13121410.2517
Rmax = 5.0503 CI = 0.0126 RI = 1.12 CR = 0.0113 < 0.1
Table A4. B3-Ci(i = 14−16) Judgment Matrix and Consistency Test.
Table A4. B3-Ci(i = 14−16) Judgment Matrix and Consistency Test.
B3C14C15C16WCi(n = 10−15)
C141320.5396
C151/311/20.1634
C161/2210.2969
Rmax = 3.0092 CI = 0.0046 RI = 0.58 CR = 0.0079 < 0.1
Table A5. B4-Ci(i = 17−19) Judgment Matrix and Consistency Test.
Table A5. B4-Ci(i = 17−19) Judgment Matrix and Consistency Test.
B4C17C18C19WCi(n = 18−20)
C171350.6483
C181/3120.2297
C191/51/210.1220
Rmax = 3.0037 CI = 0.0019 RI = 0.58 CR = 0.0033 < 0.1
Table A6. Evaluation results of each index.
Table A6. Evaluation results of each index.
First LevelSecond LevelQuantized ValueMembership
Geological conditions B1Tectonic characteristics C11(1, 0, 0, 0)
Fault C20.5(0, 0.5, 0.5, 0)
Geothermal gradient C31(1, 0, 0, 0)
Heat flow C41(1, 0, 0, 0)
Formation temperature C51(1, 0, 0, 0)
Seal condition C61(1, 0, 0, 0)
Earthquake C70.5(0, 0.5, 0.5, 0)
Volcano C80.2(0, 0, 0.3, 0.7)
Storage potential B2Area C91(1, 0, 0, 0)
Reservoir thickness C100.8(0.7, 0.3, 0, 0)
Reservoir buried depth C111(1, 0, 0, 0)
Reservoir physical property C120.4(0, 0.1, 0.9, 0)
Reservoir pressure C131(1, 0, 0, 0)
Hydrogeological conditions B3Reservoir water type C141(1, 0, 0, 0)
Mineralization C150.8(0.7, 0.3, 0, 0)
Hydrodynamics C160.9(1, 0, 0, 0)
Engineering conditions B4Exploration and development degree C171(1, 0, 0, 0)
Offshore distance C180.8(0.7, 0.3, 0, 0)
Sea depth C190.5(0, 0.5, 0.5, 0)

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Figure 1. Simplified geological map of the Beibu Gulf Basin (modified after [28,29]) showing locations of structure units, oilfields, earthquake epicenters, and CO2 emission point sources.
Figure 1. Simplified geological map of the Beibu Gulf Basin (modified after [28,29]) showing locations of structure units, oilfields, earthquake epicenters, and CO2 emission point sources.
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Figure 2. Geological section of the Beibu Gulf Basin (modified after [28]). See Figure 1 for the profile location.
Figure 2. Geological section of the Beibu Gulf Basin (modified after [28]). See Figure 1 for the profile location.
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Figure 3. Reservoir-caprock assemblages of the Beibu Gulf Basin.
Figure 3. Reservoir-caprock assemblages of the Beibu Gulf Basin.
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Figure 4. Characteristics of the geothermal field in the Beibu Gulf Basin.
Figure 4. Characteristics of the geothermal field in the Beibu Gulf Basin.
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Figure 5. Membership functions at all levels. (a) Grade I membership function; (b) Grade II membership function; (c) Grade III membership function; (d) Grade IV membership function.
Figure 5. Membership functions at all levels. (a) Grade I membership function; (b) Grade II membership function; (c) Grade III membership function; (d) Grade IV membership function.
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Figure 6. Burial depth map of Neogene (a) and Paleogene (b) strata in the Beibu Gulf Basin (modified after [28]).
Figure 6. Burial depth map of Neogene (a) and Paleogene (b) strata in the Beibu Gulf Basin (modified after [28]).
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Figure 7. NW-SE stratigraphic temperature profile of the Beibu Gulf Basin (see Figure 1 for profile location).
Figure 7. NW-SE stratigraphic temperature profile of the Beibu Gulf Basin (see Figure 1 for profile location).
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Figure 8. NW-SE formation pressure profile of the Beibu Gulf Basin (see Figure 1 for profile location).
Figure 8. NW-SE formation pressure profile of the Beibu Gulf Basin (see Figure 1 for profile location).
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Figure 9. Petroleum exploration conditions of the Beibu Gulf Basin.
Figure 9. Petroleum exploration conditions of the Beibu Gulf Basin.
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Table 1. Results of the chemical composition analysis of formation water in main target carbon reservoirs of the target in the Beibu Gulf Basin (modified after [49]).
Table 1. Results of the chemical composition analysis of formation water in main target carbon reservoirs of the target in the Beibu Gulf Basin (modified after [49]).
RegionNa+ + K+Ca2+Mg2+ClSO42−HCO3Mineralization/(g·L−1)Style of Formation Water
mg·L−1
Weixinan Sag11,718.201572.00252.7825,506.2796.06233.0039.50NaCl
7374.401117.50148.2615,739.80878.94315.5325.61NaCl
7526.05810.00419.2714,924.451248.78194.1725.54NaCl
9369.701566.50221.1821,092.75182.51306.4332.98NaCl
2100.110734.41712.7164.62871.57.01NaHCO3
1504.940.16.6947.7131.72297.35.60NaHCO3
975767154716,819115229329.25CaCl2
Wushi Sag9062.23321.2439.5113,470.37362.211398.5124.74NaCl
11,672.5284.632.812,107.24963.94600.733.78NaCl
7872.21156.3151.069108.582667.162323.5322.29NaCl
6891.72153.9146.687965.232197.22141.6219.59NaCl
Table 2. CO2 geological storage suitability evaluation index system.
Table 2. CO2 geological storage suitability evaluation index system.
First-Grade IndexesSecond-Grade IndexRequirements Conducive to CO2 Storage
Geological conditionsTectonic characteristicsSedimentary basins in stable or nearly stable continental plates
FaultNo fault, few faults, or strong fault sealing
Geothermal gradientThe lower the more favorable
Heat flow
Formation temperature≥35 °C
Sealing conditionCaprock thickness greater than 150 m
EarthquakeEarthquake, volcano not developed
Volcano
Storage potentialArea≥2500 km2
Reservoir thickness≥20 m
Reservoir buried depth>800 m
Reservoir petrophysical propertyPorosity greater than 10%
Reservoir pressureAbove the critical value of CO2 (7.5 MPa)
Hydrogeological conditionsReservoir formation water typeNaHCO3; Cl-Ca-Na; CaCl2
Mineralization3–50 g/L
HydrodynamicsStable
Engineering conditionsExploration and development degreeSome exploration activities
Offshore distance<300 km
Water depth<100 m
Table 3. Grading table of evaluation index system.
Table 3. Grading table of evaluation index system.
First LevelSecond LevelImpact of the Second Level on the First Level
Geological conditions B1Tectonic characteristics C1B1 = g1 (C1, C2, C3, C4, C5, C6, C7, C8, C8)
Fault C2
Geothermal gradient C3
Heat flow C4
Formation temperature C5
Sealing condition C6
Earthquake C7
Volcano C8
Storage potential B2Area C9B2 = g2 (C9, C10, C11, C12, C13)
Reservoir thickness C10
Reservoir buried depth C11
Reservoir petrophysical property C12
Reservoir pressure C13
Hydrogeological conditions B3Reservoir formation water type C14B3 = g2 (C14, C15, C16)
Mineralization C15
Hydrodynamics C16
Engineering conditions B4Exploration and development degree C17B4 = g2 (C17, C18, C19)
Offshore distance C18
Water depth C19
Impact degree of the first level on CO2 storage suitability AA = f (B1, B2, B3, B4)
Table 4. Results of CO2 geological storage suitability evaluation.
Table 4. Results of CO2 geological storage suitability evaluation.
First LevelSecond LevelComprehensive Index WeightMembership
Geological conditions B1Tectonic characteristics C10.25 × 0.1915 = 0.04788(1, 0, 0, 0)
Fault C20.25 × 0.0639 = 0.01598(0, 0.5, 0.5, 0)
Geothermal gradient C30.25 × 0.0639 = 0.01598(1, 0, 0, 0)
Heat flow C40.25 × 0.1875 = 0.04688(1, 0, 0, 0)
Formation temperature C50.25 × 0.0327 = 0.00818(1, 0, 0, 0)
Sealing condition C60.25 × 0.2212 = 0.05530(1, 0, 0, 0)
Earthquake C70.25 × 0.1778 = 0.04445(0, 0.5, 0.5, 0)
Volcano C80.25 × 0.0615 = 0.01538(0, 0, 0.3, 0.7)
Storage potential B2Area C90.25 × 0.2951 = 0.07378(1, 0, 0, 0)
Reservoir thickness C100.25 × 0.1169 = 0.02923(0.7, 0.3, 0, 0)
Reservoir buried depth C110.25 × 0.2850 = 0.07125(1, 0, 0, 0)
Reservoir petrophysical property C120.25 × 0.0514 = 0.01285(0, 0.1, 0.9, 0)
Reservoir pressure C130.25 × 0.2517 = 0.06293(1, 0, 0, 0)
Hydrogeological conditions B3Reservoir formation water type C140.25 × 0.5396 = 0.13490(1, 0, 0, 0)
Mineralization C150.25 × 0.1634 = 0.04085(0.7, 0.3, 0, 0)
Hydrodynamics C160.25 × 0.2969 = 0.07423(1, 0, 0, 0)
Engineering conditions B4Exploration and development degree C170.25 × 0.6483 = 0.16208(1, 0, 0, 0)
Offshore distance C180.25 × 0.2297 = 0.05743(0.7, 0.3, 0, 0)
Water depth C190.25 × 0.1220 = 0.03050(0, 0.5, 0.5, 0)
CO2 storage suitability A membership degree (0.84, 0.09, 0.06, 0.01) Grade I
Table 5. Reservoir characteristics of the Beibu Gulf Basin (modified after [28,30,31,32,33]).
Table 5. Reservoir characteristics of the Beibu Gulf Basin (modified after [28,30,31,32,33]).
DepressionFormationPorosity (%)Permeability (mD)FaciesLithologyDepth (m)
WeixinanLiushagang26.65–29.74423–673shallow lake
Fan delta
Coarse sandstone, sandy conglomerate1800–2100
MaichenWeizhou23.32–30234.7–689.1River delta front Sandy conglomerate1300
Liushagang15–25760River deltaGravel sandstone, siltstone2000
HaizhongLiushagang7.80.4–3River delta, fanfine sandstone Mudstone with minor siltstone2000–4000
Weizhou20–24230–610 Siltstone, sandstone1000–2000
FushanLiushagang13–18 Fluvial, fan deltaSiltstone, locally sandy1000–2500
Weizhou5.2–330.04–6930shallow lacustrine Fluvial fan and plainconglomerate Blocky sandy conglomerate
LeidongWeizhou13–1744–188Lacustrin, alluvial plainSandstone and conglomerate1300
WushiLiushagang
Weizhou
15–251–760River, coastalwith mudstone and silty mudstone interlayer Mudstone with shale and sandstone interlayer Sandstone with mudstone3000
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Wang, J.; Yuan, Y.; Chen, J.; Zhang, W.; Zhang, J.; Liang, J.; Zhang, Y. Geological Conditions and Suitability Evaluation for CO2 Geological Storage in Deep Saline Aquifers of the Beibu Gulf Basin (South China). Energies 2023, 16, 2360. https://doi.org/10.3390/en16052360

AMA Style

Wang J, Yuan Y, Chen J, Zhang W, Zhang J, Liang J, Zhang Y. Geological Conditions and Suitability Evaluation for CO2 Geological Storage in Deep Saline Aquifers of the Beibu Gulf Basin (South China). Energies. 2023; 16(5):2360. https://doi.org/10.3390/en16052360

Chicago/Turabian Style

Wang, Jianqiang, Yong Yuan, Jianwen Chen, Wei Zhang, Jian Zhang, Jie Liang, and Yinguo Zhang. 2023. "Geological Conditions and Suitability Evaluation for CO2 Geological Storage in Deep Saline Aquifers of the Beibu Gulf Basin (South China)" Energies 16, no. 5: 2360. https://doi.org/10.3390/en16052360

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