Issue |
Sci. Tech. Energ. Transition
Volume 78, 2023
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|
---|---|---|
Article Number | 3 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.2516/stet/2022022 | |
Published online | 17 February 2023 |
Regular Article
Evaluation of CO2 enhanced oil recovery and CO2 storage potential in oil reservoirs of petroliferous sedimentary basin, China
1
Oil Production Technology Institute, Dagang Oilfield Company, CNPC, Tianjin 300280, China
2
College of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China
3
School of Environment, Tsinghua University, Beijing 100084, China
4
College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
5
Dagang Oilfield Company, No. 5 Oil Production Plant, PetroChina, Tianjin 300280, China
* Corresponding author: fy_wang@cauc.edu.cn
Received:
14
February
2022
Accepted:
22
November
2022
Carbon Capture, Utilization, and Storage (CCUS) technology has emerged as the bottom-line technology for achieving carbon neutrality goals in China. The development of Carbon Dioxide Enhanced Oil Recovery (CO2-EOR) not only increases revenue for high-investment CCUS projects but also enables permanent CO2 storage in the oil reservoir. However, the basin is used as the research object to evaluate the CO2 storage potential of the oil reservoir. The evaluation results are inaccurate and unable to support the implementation of later CCUS projects. Here, more accurate oil reservoir data is employed as the evaluation object. It is the first time at the national level to screen oil reservoirs to distinguish between CO2 miscible and immiscible, and evaluate the potential of CO2-EOR and CO2 storage in the reservoir. The research results show a total of 2570 suitable oil reservoirs in 4386 candidate oil reservoirs nationwide. About 1.26 billion tons of additional crude oil can be produced by CO2-EOR technology. This includes approximately 580 million tons of additional oil from CO2 miscible flooding and 680 million tons from CO2 immiscible flooding. The study further refines the CO2 geological utilization data and provides a theoretical basis for CCUS project site selection in China.
Key words: CCUS / CO2-EOR / CO2 storage / Oil reservoir / CO2 geological utilization
© The Author(s), published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1 Introduction
The impact of human activities on the climate system is definite, and global warming is probably having serious, widespread, and irreversible consequences [1]. To mitigate climate change, the “Paris Agreement” officially came into effect in November 2016, which means that the consensus on reducing greenhouse gas emissions and achieving global temperature rise by no more than 2 °C than before industrialization and working towards 1.5 °C is being gathered at the end of this century. At the general debate of the 75th Session of the United Nations General Assembly on September 22, 2020 China is willing to contribute more to the fight against climate change, as it aims to bring carbon emissions to a peak by 2030, and achieve carbon neutrality by 2060. Climate change can be mitigated through three aspects: (i) improving energy efficiency, (ii) developing renewable energy [2], and (iii) deploying CCUS technology [3]. CCUS technology is regarded as an important part of the technology portfolio to achieve carbon neutrality. It is not only the main technical means to maintain the flexibility of the power system [4, 5], but also a viable technical solution for industries that are difficult to reduce emissions, such as steel and cement. It is the bottom-line technology for achieving the goal of carbon neutrality in China [6].
Although CO2 capture can be carried out in many places, for instance in power plants, steel plants, and cement plants, it is necessary to achieve permanent separation of CO2 from the atmosphere in the end. Therefore, CO2 storage is a key step in the CCUS industrial chain [7]. At present, CO2 storage mainly includes mineral carbonization, ocean and geological storage [8]. The development of CO2 geological storage is relatively mature and is considered an important way to reduce greenhouse gas emissions and mitigate climate change [9, 10], including three main types, namely, oil and gas reservoirs, deep saline aquifers [11], and unmineable coal seams [12, 13]. The oil reservoir is natural underground gas storage, because of its good airtight conditions, it can achieve long-term storage of CO2. At the same time, CO2-EOR technology has been proven to be one of the most effective technologies to increase oil production in oil fields [14–16]. The injection of CO2 into the oil reservoir will achieve a significant increase in recovery efficiency, thereby achieving a win-win situation for CO2 emission reduction and utilization [17].
However, not all oil reservoirs are suitable for implementing CO2-EOR technology, and CO2 flooding is divided into miscible and immiscible flooding [18, 19]. The current national level of CO2 storage potential is mostly obtained by evaluating basins as the research object. There is a problem of inaccurate evaluation results, which cannot provide detailed data support for the follow-up of CCUS project implementation. Therefore, more detailed data on the geological utilization of CO2 is urgently needed to solve the problems of CCUS project source-sink matching [20, 21], CO2 pipeline network optimization [22, 23], and CCUS technology industry cluster development, especially data on the potential of CO2-EOR and CO2 storage that can increase the revenue of the projects, as a basis for optimizing the layout of the CCUS technology industry.
Therefore, the main purpose of this article is to screen the reservoirs suitable for CO2-EOR and calculate the CO2 storage potential of the reservoirs suitable for CO2-EOR in China. Based on the oil reservoir data that has been explored in China, this study answers the following three questions: (1) Which factors are included in the selection of reservoir criteria suitable for CO2-EOR; (2) Where are the major reservoirs suitable for CO2 miscible and immiscible flooding; (3) How much oil production can be increased by CO2-EOR technology, and how much CO2 can be effectively stored?
Section 2 of this article reviews the literature related to the criteria for selecting reservoirs that can implement CO2-EOR, as well as the research on the potential of CO2-EOR and CO2 storage in China’s existing reservoirs. Section 3 summarizes the indicators for screening oil reservoirs, introduces the methods of reservoir CO2 storage potential, and the compilation of reservoir data. Section 4 describes the evaluation results of this study. Finally, Section 5 concludes this paper.
2 Literature review
The selection of a suitable reservoir for CO2-EOR is a very important work in the early stages of a CO2-EOR project [24]. Whether the CO2 flooding achieves successfully miscible displacement depends on the reservoir pressure and temperature, injected solvent and crude oil compositions [25]. Selecting suitable storage reservoirs can not only reduce the cost of CO2 flooding and storage but also improve the safety of CO2 storage and avoid the risk of CO2 leakage [26]. Most studies summarize and generalize existing CO2-EOR projects to obtain reservoir suitability screening criteria. Holtz, Nance summarized parameters such as depth, crude oil specific gravity, and porosity of existing project reservoirs, established a decision tree for gas-flooding oil production reservoirs and quickly evaluated suitable CO2-EOR projects for wells in the Texas reservoir “[27]”. In later studies, reservoir screening utilizing parameters such as crude oil gravity, reservoir temperature, and pressure, Minimum Miscibility Pressure (MMP), and residual oil saturation has become an effective method for rapid reservoir screening [28, 29]. With the deepening of research, the screening criteria of the reservoir are continuously refined, which are divided into two screening criteria: miscible and immiscible flooding [30]. Shaw and Bachu [28] summarized 14 screening criteria, which can be used to quickly screen the reservoirs suitable for miscible flooding, and use the screening criteria to screen the reservoirs in Alberta, Canada. The study also points out that the criteria that have the greatest impact on screening are oil gravity, reservoir thickness, and MMP. Oil gravity, reservoir thickness, and MMP are pointed out as the indicators that have the greatest impact on screening in the above study. Whether the reservoir pressure is greater than MMP is considered to be the most significant factor to distinguish CO2 miscible and immiscible flooding [30, 31]. Zhang et al. [32] analysed the CO2 storage capacity of 15,143 fields and showed that suitable CO2-EOR potential of miscible flooding in oil fields amounted to 6895 million barrels, with a CO2 storage potential of about 5.2 Gt in Alberta, Canada. Qin et al. [15] reviewed and summarized the CO2-EOR project carried out in the United States from 2004 to 2014. The comparison and analysis of the application scale and reservoir adaptability of CO2 miscible and immiscible flooding in the United States are carried out.
Rosiani et al. [33] developed a new simultaneous screening model using the interdependence of reservoir parameters. The proposed screening model is compared with 13 real projects to achieve rapid screening of miscible and immiscible flooding in reservoirs. Olukoga and Feng [34] exploited inputs of porosity, permeability, oil gravity and viscosity, reservoir pressure and temperature, MMP and depth parameters. Using a machine learning clustering approach, successfully executed miscible CO2 flooding projects were classified into clusters of projects with similar fluid/reservoir characteristics. Lv et al. [35] added indicators reflecting economic benefits to the standards related to oil well production, forming a new method for selecting low-permeability reservoirs suitable for CO2 flooding. The step screening method is proposed: technical screening, economic screening, fine feasibility evaluation, and recommendation of optimal gas flooding blocks. The above study proposes criteria and screening procedures for rapid reservoir screening utilizing existing projects around the world. These criteria provide screening criteria for the further study and evaluation of CO2 miscible flooding and immiscible flooding oil reservoirs in China.
However, there have been few evaluations of CO2 miscible flooding and immiscible flooding reservoirs at the national level owing to the difficulty of obtaining reservoir data and relevant parameters in China. The previous research mainly focused on the screening and evaluation of miscible flooding and immiscible flooding in a certain petroliferous basin or specific oil field. For the evaluation of reservoirs in the Ordos Basin, Zhao and Liao [36] evaluated the CO2 storage capacity and EOR potential of the Changqing Oilfield in China by employing parameters such as reservoir pressure, reservoir temperature, and viscosity. The results show that 14 of the 26 wells in the Changqing field are suitable for CO2 miscible flooding and 12 wells are suitable for CO2 immiscible flooding. The oilfield has great potential for CO2 storage and EOR in Changqing. He et al. [37] evaluated reservoirs within a 300 km radius of Yulin City. Of the 17 reservoirs evaluated, 9 are suitable for CO2 immiscible flooding and 8 are suitable for CO2 miscible flooding. The overall recovery rate is improved, with a recovery potential of 80 Mt and a CO2 sequestration potential of 130 Mt. He et al. [38] adopted reservoir screening criteria to evaluate the feasibility of CO2 flooding, CO2-EOR, and CO2 storage potential of 27 reservoirs in the Yanchang Oilfield. The results showed that in these 27 reservoirs, only 8 can implement CO2-EOR, and only 1 reservoir is suitable for CO2 miscible flooding. The CO2 storage potential of the Yanchang Oilfield is very limited. Wang et al. [39] evaluated the CO2 storage and EOR potential of the medium and low permeability reservoirs in the Gar Basin and concluded that in the 275 development blocks in the Junggar Basin, the CO2 miscible flooding reservoirs can increase oil production by 125 Mt, and CO2 non-permeability. Miscible flooding reservoirs can increase oil production by 59 Mt, the CO2 storage capacity of miscible flooding reservoirs is about 300 Mt, and the CO2 storage potential of immiscible reservoirs is 175 Mt. Yang et al. [31] used reservoir screening criteria to screen the oil reservoirs in the Bohai Bay Basin and obtained 613 reservoirs suitable for CO2-EOR, of which 354 reservoirs are suitable for CO2 miscible flooding and 259 reservoirs are suitable for immiscible flooding. With CO2-EOR crude oil production, 140 Mt can be increased and 225 Mt of CO2 can be stored. In addition, preliminary studies on enhanced recovery and CO2 storage potential in offshore reservoirs have been carried out. Li et al. [40] proposed a multi-parameter rapid comprehensive evaluation method for the screening and evaluation of offshore CO2 flooding potential and evaluated the oil reservoirs in the Pearl River Mouth Basin. Li et al. [41] used a multi-parameter dimensionless rapid screening model combined with reservoir composition simulation to evaluate the CO2-EOR and CO2 storage potential of the HZ2-1 Oilfield in the Pearl River Mouth Basin, and concluded that the HZ21-1 Oilfield can implement CO2 miscible flooding, CO2 storage potential is 8.1–10.8 Mt. Li et al. [42] assessed the potential of CO2 sequestration in the major oil and gas reservoirs in the northern South China Sea, and showed that the four major geological basins had overall low, medium and high values of CO2 storage potential of 1015.8, 1082.7 and 1151.5 Mt, respectively.
The aforementioned CO2-EOR evaluation for oil reservoirs are limited to research in a certain basin or certain oil fields in China. There is a lack of national-level oil reservoir evaluation, and it is impossible to screen and evaluate Chinese oil reservoirs at the national level. Although there are existing studies on the storage potential of depleted reservoirs and CO2-EOR at the national level, most national-level reservoir evaluation studies are limited to basin-level or do not distinguish between CO2 miscible flooding and immiscible flooding [10, 43], and do not employ screening criteria as a national screening of available good data, providing no clear picture of the distribution of CO2 miscible flooding and immiscible flooding reservoirs in China, as well as the corresponding CO2-EOR and CO2 storage potential. Therefore, this study summarized the screening criteria of miscible and immiscible flooding and used the national reservoir database to evaluate the CO2-EOR potential and CO2 storage potential of reservoirs using two screening criteria: CO2 miscible flooding and immiscible flooding in China.
3 Data and methodology
In purpose of screening reservoirs suitable for CO2 flooding and evaluating CO2-EOR and CO2 sequestration potential. In this study, an evaluation method for rapid reservoir screening was developed, which provided indicators for the evaluation of CO2 miscible and immiscible flooding. For reservoirs suitable for CO2 flooding, the additional crude oil production and CO2 storage potential in the reservoir were evaluated by the CO2-EOR and CO2 potential assessment models.
3.1 Research framework
The research framework is shown in Figure 1. In the first step, reservoir screening criteria were established based on literature summary and practical engineering experience, and the 18 indicators were identified to distinguish between reservoirs meeting CO2 miscible or immiscible flooding. In the second step, the 8 determining screening criteria were identified which quickly identify whether the reservoir fulfilled miscible or immiscible flooding. The third step is to carry out an evaluation of 4386 candidate reservoirs. The first step was to determine whether the reservoir was suitable for CO2-EOR and the second step was to classify the reservoirs that were suitable for CO2 miscible or immiscible flooding. The fourth step is to estimate CO2-EOR and CO2 storage potential in oil reservoirs. Finally, the assessment results were visualised and analysed by ArcGIS. The potential and distribution of CO2 storage in sedimentary basins was obtained. This will provide detailed data for CCUS project deployment in China.
![]() |
Figure 1 Evaluation framework for CO2-EOR and CO2 storage potential. |
3.2 Data source
The oil reservoir database comes from Sinopec Group [44]. The database contains 4386 reservoirs. The database has detailed statistics on oil reservoirs. There is the location of each oil field, including the name, location, and location of the oil reservoir, as well as the basin and the affiliated oil company of each oil reservoir. In terms of recoverable reserves, there is a detailed time when the oil field is discovered, the proven recoverable reserves of the oil reservoir, and the amount of oil that has been exploited. The geographic characteristics of the reservoir are also described in detail, including the gravity of the reservoir, the depth of the reservoir, the porosity, the good pressure, and the initial oil saturation of the crude oil. Because the database does not contain the temperature of the oil reservoirs, this study calculated the temperature of each oil reservoir according to the depth of the oil layer by the geothermal gradient. See the Appendix for the data of geothermal gradient in China.
3.3 Screening criteria for the CO2-EOR
The definition of screening criteria is helpful to quickly and preliminarily screen candidate reservoirs [45]. This is also the first step to evaluate the storage potential of Chinese oil reservoirs CO2-EOR and CO2 in the reservoir [14]. This article summarizes the selection criteria for suitable CO2 flooding, as shown in Table 1.
It has been pointed out that of all the reservoir screening criteria, reservoir depth, temperature, crude oil weight, crude oil viscosity, and original pressure are the most important screening criteria, while other screening criteria can be achieved by general reservoirs [46]. Further, CO2 flooding can be divided into miscible or immiscible flooding according to the state of CO2 and crude oil in the reservoir. In theory, if the pressure is high enough, CO2 will be miscible with oil at the reservoir temperature. In this case, the minimum pressure becomes the MMP. If the reservoir pressure is equal to or greater than the MMP, CO2 will drive oil efficiently under miscible conditions, otherwise, less efficient immiscible flooding will be implemented. According to relevant statistics, if CO2 flooding can reach the miscible state, the final recovery rate of the oilfield can be as high as 60% to 70%; if the immiscible flooding is used, the final recovery rate of the oilfield can reach more than 50%. Although the efficiency of immiscible CO2-EOR is lower than that of miscible CO2-EOR, the relatively commonly used water flooding is still a better oil displacement method [31]. Taking into account the availability of important screening criteria and reservoir parameters, this paper uses the following factors as the evaluation criteria [31, 46], see Table 2 for details.
Selection criteria for CO2 in oil reservoirs.
3.4 Minimum miscible pressure screening
When considering CO2 flooding, the most concern is whether CO2 will be miscible with the oil in the reservoir under the current reservoir conditions. Theoretically at MMP the maximum possible oil recovery (~70% in field scenario) can be achieved leading to huge economic benefit [48]. MMP is considered to be a key factor in evaluating whether a reservoir fulfills miscible flooding [49]. If the MMP is lower than the reservoir pressure, it is assumed to be a reservoir that is miscible with CO2; otherwise, it is a reservoir that is immiscible with CO2. Since the original formation pressure of all reservoirs cannot be determined, this study defines that the reservoir depth must be greater than 760 m, and the reservoir temperature must be lower than 121 °C, and the original formation pressure can reach MMP [14].
3.5 Calculation of oil viscosity
Crude oil viscosity is an important parameter for screening suitable CO2-EOR reservoirs [50]. However, not all the crude oil viscosity of the reservoir is available in the reservoir data. Beggs and Robinson [51] proposed to use the depth and temperature of the reservoir and the gravity of the crude oil to estimate the viscosity of the middle crude oil in the reservoir. The detailed calculation process is shown in formula (1) and formula (2)
(1)where μ
od is the viscosity of residual oil,
.
The relationship between crude oil viscosity and residual oil viscosity, see formula (2):(2)where μ crude oil viscosity, A = 10.715(R
s
+ 100)−0.515, B = 5.44(R
s
+ 150)−0.338, R
s
is the gas–oil ratio of the reservoir.
3.6 Calculation of CO2-EOR and CO2 storage potential
According to the calculation formula of Dahowski et al. [14, 52, 53], the theoretical storage potential of CO2 enhanced oil exploitation is evaluated.
The existing data only obtains the Ultimately Recoverable Resources (URR) but does not know the Original Oil In Place (OOIP). The OOIP can be calculated by the formula (3):(3)
In the formula, OOIP is the Original Oil In Place, URR is the Ultimately Recoverable Resource, and API is American Petroleum Institute gravity:(4)
OOIPc is the amount of crude oil that can be contacted with CO2, and C is the contact ratio between CO2 and crude oil, in this article 75%(5)
(6)
(7)
Here, EOR is the amount of crude oil that can be enhanced, and its unit is the same as OOIP, which is the amount of CO2 that can be stored, called the reservoir’s CO2 storage potential, and the unit is ton; A and B are the lowest and highest probability of displacement coefficient. The corresponding probability values of different depths and crude oil severity are shown in Table 3; A is 2.113 t/m3, B is 3.522 t/m3; EXTRA is the ratio of CO2 enhanced oil recovery, that is, the displacement coefficient and the unit is %.
4 Results
4.1 Suitable distribution of CO2-EOR reservoir
The distribution of reservoirs suitable for CO2 miscible flooding and immiscible flooding in China, is shown in Figure 2. The onshore oil reservoirs suitable for CO2-EOR are mainly concentrated in Bohai Bay Basin, Songliao Basin, Tarim Basin, and Ordos Basin. The offshore oil reservoirs are mainly concentrated in Pearl River Mouth Basin, South Yellow Sea Basin, and Beibu Gulf Basin. There are 4386 candidate reservoirs, of which a total of 2570 reservoirs fulfill the screening criteria. 1556 reservoirs are suitable for CO2 miscible flooding, and 1014 reservoirs are suitable for CO2 immiscible flooding. About 56% of the 2579 oil reservoirs suitable for miscible flooding are concentrated in Bohai Bay Basin, and about 11% are distributed in Songliao Basin. The oil reservoirs in Ordos Basin and Junggar Basin account for more than 5% of the total oil reservoirs that can be implemented CO2-EOR. The number of reservoirs suitable for oil displacement in Erlian Basin, Jianghan Basin, Qaidam Basin, Turpan-Hami Basin, and Tarim Basin account for 1% to 2% of the suitable miscible oil reservoirs, and the other basins are less than 1%.
![]() |
Figure 2 Reservoir distribution suitable for CO2-EOR in China. |
4.2 CO2-EOR storage potential
As shown in Figure 3, about 9.2 billion tons of crude oil have been increased by CO2-EOR, of which 4.2 billion tons of crude oil can be increased by CO2 miscible flooding, and 5 billion tons of crude oil can be increased by CO2 immiscible flooding in China. The CO2 storage potential in oil reservoirs is shown in Figure 4, the total CO2 storage potential of the reservoir is about 339 million tons in China, of which the CO2 storage potential of miscible flooding is about 166 million tons, and the CO2 storage potential of immiscible flooding is about 173 million tons.
![]() |
Figure 3 The total number of evaluated oil reservoirs and CO2-EOR potential in a petroliferous sedimentary basin in China. |
![]() |
Figure 4 The total number of evaluated oil reservoirs and CO2 storage potential in a petroliferous sedimentary basin in China. |
From Figures 3 and 4 it is easy to find that the differences in basin sequestration potential are outstanding. In order to better describe the results of the study, we will develop a basin-by-basin description of the CO2 flooding and storage potential.
In Bohai Bay Basin, there could be 1,440 reservoirs where CO2-EOR could be implemented, accounting for 56% of the total number of reservoirs. A total of 910 reservoirs can be implemented with CO2 miscible flooding, which can increase oil production by approximately 15.55 Mt and can achieve CO2 geological storage of approximately 6.38 Mt. There are 530 reservoirs where immiscible flooding could be implemented, which could increase production by 1769 Mt of crude oil. At the same time, 613 Mt of CO2 will be storage in the reservoir. These reservoirs are mainly concentrated in northeastern coastal areas of Bohai Bay Basin. The reservoirs where CO2 flooding is implemented mainly cover the Huabei, Shengli and Dagang oil fields, accounting for approximately 32% of the total CO2 storage potential in Bohai Bay Basin.
There are 380 reservoirs in Songliao Basin, of which approximately 73% are suitable for CO2 flooding. Of these, 202 reservoirs are suitable for miscible flooding. It is estimated that 2625 Mt of crude oil could be added and 907 Mt of CO2 could be stored. Only 75 reservoirs are suitable for CO2 miscible flooding. The volume of crude oil that could be added is approximately 350 Mt and the corresponding CO2 storage potential is approximately 123 Mt of CO2. The main factor that miscible flooding reservoirs are less than immiscible flooding is the shallower average buried depth of Songliao Basin. In Songliao Basin, Daqing Oilfield and Jilin Oilfield (Daqingzijing Oilfield and Da’an Oilfield) are the main oilfields implementing CO2 flooding, accounting for about 80% of the total CO2 storage potential of Songliao Basin.
In Ordos Basin, Junggar Basin, Tarim Basin, and Qaidam Basin, the amount of oil enhanced by miscible flooding and immiscible flooding is less than 100 Mt (see Fig. 3). Most of the reservoirs in these basins need to implement CO2 miscible flooding. Because miscible flooding is more efficient than immiscible flooding. Therefore, these basins are still key areas for the implementation of CO2-EOR. The most suitable field for implementing CO2 miscible flooding is Changqing Oilfield, which can increase oil by about 78 Mt, accounting for about 72% of the oil recovery in Ordos Basin, with a CO2 sequestration potential of about 2.28 Mt. The Karamay Field is the best field in Junggar Basin for the implementation of CO2 miscible flooding. By applying CO2-EOR, the oil increase is about 22 Mt and the CO2 sequestration potential is about 50 Mt. The Taher Field is the best candidate for CO2 miscible flooding in Tarim Basin, with an oil addition of about 9.5 Mt and a CO2 sequestration potential of about 29 Mt. The Gaskule Oilfield is the most suitable field for CO2 miscible flooding in Qaidam Basin. By applying CO2-EOR, the oil increase is about 10 million m3 and the CO2 sequestration potential is about 30 million m3. Shanshan Oilfield is the largest CO2-EOR Oilfield in Turpan-Hami Basin. The field could increase approximately 2.9 Mt of oil and storage of about 8.6 Mt of CO2.
In addition, the ratio of CO2 miscible flooding suitable for offshore oil reservoirs is also relatively ideal in China. As shown in Figures 2 and 3, in Pearl River Mouth Basin, South Yellow Sea Basin, and Beibu Gulf Basin, CO2 miscible flooding can be used to increase oil by approximately 45 Mt, 12 Mt, and 9.7 Mt, the corresponding CO2 storage potential is 155 Mt, 36 Mt, and 27 Mt, respectively. More than 80% of the reservoirs can be enhanced by CO2 miscible flooding. For the Pearl River Mouth Basin, The Huizhou Oilfield is the most suitable to implement CO2-EOR, with the potential to increase 11.5 Mt crude oil and 35 Mt CO2, respectively; The Sandian Oilfield is the best reservoir for CO2 miscible in South Yellow Sea Basin. With an oil enhancement and CO2 sequestration potential of approximately 1.5 Mt of crude oil and 4.7 Mt of CO2, respectively, the Weizhou Oilfield is the most suitable reservoir for CO2 miscible flooding in Beibu Gulf Basin, with an oil enhancement of around 5.7 Mt and CO2 storage potential of about 17 Mt.
5 Discussion
5.1 Comparison of existing results with the results of this research
It is not difficult to find from Table 4 that the previous research based on the data source can be divided into three categories. The first category is for research institutions in China. This type of data source is an evaluation of the CO2 storage potential based on the data of petroliferous basins in the literature [56]. Compared with this study, the specific geological data of oil wells are unknown, and only basin-level reservoir reserves can be obtained, to obtain CO2 storage potential. The second type is the evaluation by the US Department of Energy and Chinese research institutions. The data source is the same as the first type of research, but the evaluation method has been improved. The third category is the evaluation of sustainable energy services and innovation companies. The data sources are different compared to the first two types of reservoirs. It comes from the US Geological Survey’s assessment of global reservoir reserves in 2000 [57]. The data is more macroscopic. The data is not as detailed as the first two types of reservoirs. The reservoir data in this study comes from IHS Markit [44], this database is based on national actual reservoir exploration data. The database performs detailed statistics on the published oil reservoirs. It not only includes the crude oil reserves and geographic location of each oil well, but also includes detailed geological information, such as the depth of the reservoir, the gravity of crude oil, and the porosity of the oil. Therefore, this study obtained the CO2 storage potential, carried out a screening based on the suitability of the reservoir for CO2 flooding, and only retained the reservoirs suitable for CO2 storage. In addition, according to the type of CO2 flooding, it is divided into miscible flooding and immiscible flooding. These two points can provide more detailed data support for the deployment of CCUS in China, and they are also not available in the above-mentioned three types of research institutes.
Comparison of existing research results with the results of this research.
5.2 Limitations of this study
The current reservoir screening criteria mainly use geological factors as the site selection criteria [60], and the purpose is to quickly and effectively screen out reservoirs suitable for CO2 miscible flooding and immiscible flooding. However, there are no clear selection criteria for the economic, safety, social, and environmental aspects of the oil reservoir in the implementation of CO2-EOR. The scale effect of CO2-EOR should be considered. The large-scale or cluster implementation of CO2-EOR can enable efficient use of infrastructure and reduce operating costs from an economic point of view [61], which is more conducive to project implementation. The safety screening criteria are mainly to prevent the damage of geological disasters to the reservoir and cause CO2 leakage problems [62, 63]. The use of safety screening criteria should avoid areas with a high probability of occurrence of geological disasters such as earthquakes, landslides, and fire activities [64]. The social screening criteria need to consider the public’s acceptance of the CO2-EOR project. Whether the public accepts the CO2-EOR project is a key factor that can significantly affect the implementation of the project. Environmental screening criteria mainly consider environmental issues during CO2-EOR operation. The implementation of CO2 flooding is accompanied by a large amount of water containing radioactive materials and toxic heavy metals. Without proper waste management and disposal standards, these substances can contaminate the source of drinking water. CO2 storage screening criteria, adding economic, safety, social and environmental screening criteria is the trend of future CO2 storage site selection in the future [14, 65].
In addition, with the continuous increase in the level of exploration technology and economic investment, the exploration volume of oil reservoirs has also increased year by year. In the past ten years, oil exploration and development and proven reserves have continued to increase at a high level in China. The CO2 storage potential and CO2-EOR displacement estimated in this study are only evaluated based on 2018 data. In the future, with the development of reservoir exploration technology, more reservoirs will be discovered, and the CO2-EOR and CO2 storage potential of reservoirs will also increase.
6 Conclusion
This study summarises the existing oil reservoir screening criteria and derives a standard methodology suitable for reservoir data screening. This paper utilises the reservoir screening criteria to screen reservoirs suitable for CO2-EOR in China, and obtains the distribution of reservoirs with and without CO2 miscible flooding, as with the corresponding potential for increased crude oil production and CO2 storage. The main conclusions are as follows:
-
For rapid screening of reservoirs 17 indicators are grouped. These indicators are further classified to obtain a selection of the most critical factors in each category. Of these, crude oil viscosity and gasoline ratio are the key factors for fluid properties; reservoir temperature, pressure and depth are the most critical indicators for reservoirs; reservoir permeability and effective porosity are the central factors for reservoir characteristics. In addition, reservoir depth and MMP are the core elements to differentiate CO2 miscible flooding from immiscible flooding.
-
The first screening of reservoirs for miscible and immiscible CO2 flooding in China. The potential for CO2-EOR and CO2 storage have been evaluated and calculated. Out of 4386 candidate reservoirs, a total of 2570 reservoirs are suitable for CO2-EOR. Of these, 1556 reservoirs are suitable for CO2-miscible flooding and 1014 reservoirs are suitable for CO2 immiscible flooding. In terms of CO2-EOR potential, the volume of recoverable crude oil is approximately 1.26 billion tons, with an additional 580 million tons of crude oil recovered with CO2 miscible drives and 680 million tons of crude oil recovered with CO2 immiscible flooding. The total CO2 storage potential of the reservoir is approximately 3.39 Mt, The CO2 storage potential of the miscible flooding is about 1.66 Mt and the CO2 storage potential of the immiscible flooding is around 1.73 Mt.
-
On the basis of the distribution characteristics and CO2 storage potential of reservoirs in China. About 56% of the reservoirs are concentrated in Bohai Bay Basin and about 11% are distributed in 2,579 reservoirs suitable for CO2-EOR in Songliao Basin. Reservoirs in Ordos and Junggar Basins account for about 5% of the CO2-EOR that can be carried out. The number of oil reservoirs suitable for oil displacement in Erlian Basin, Jianghan Basin, Qaidam Basin, Turpan-Hami Basin, and Tarim Basin accounts for between 1 and 2% of the number of oil reservoirs suitable for CO2-EOR, and all other basins are less than 1%. The Pearl River Mouth Basin, the South Yellow Sea Basin, and the Beibu Gulf Basin have 114 (4.4%), 119 (4.6%), and 44 (1.7%) oil reservoirs in offshore basins, respectively.
This study is more specific and detailed in the reservoir data. The reservoirs were screened and evaluated by CO2 miscible and immiscible flooding and provided data support for the storage site selection of the CCUS project. However, the influence of geological conditions, social economy, natural environment, and other factors are in the actual engineering practice. The final CO2 storage potential of source-sink matching level still needs further study, which requires the setting and evaluation of a more detailed comprehensive factor indicator system.
Acknowledgments
We gratefully acknowledge the financial support of Fundamental Research Funds for the Central Universities (3122019065). We would like to extend special thanks to the editor and the anonymous reviewers for their valuable comments and suggestions.
References
- IPCC (2013) Fifth Assessment Report: Climate Change 2013: The Physical Science Basis. Cambridge University Press, Cambridge, UK. Published for the intergovernmental panel on climate change 2013. [Google Scholar]
- Kolhe M.L., Wu X., Zhou Y., Cheng C., Yang S. (2022) Industrial characteristics of renewable energy and spatial aggregation correlations in Beijing–Tianjin–Hebei, Sci. Technol. Energy Trans. 77, 3. [Google Scholar]
- Yang B., Wei Y.-M., Hou Y., Li H., Wang P. (2019) Life cycle environmental impact assessment of fuel mix-based biomass co-firing plants with CO2 capture and storage, Appl. Energy 252, 113483. [CrossRef] [Google Scholar]
- Arroyave J.D., Chejne F., Mejia J.M., Maya J.C. (2020) Evaluation of CO2 production for enhanced oil recovery from four power plants, Energy 206, 18. [Google Scholar]
- Kang J.-N., Wei Y.-M., Liu L., Han R., Chen H., Li J., Wang J-W, Yu B-Y (2020) The prospects of carbon capture and storage in china’s power sector under the 2 °C target: a component-based learning curve approach, Int. J. Greenh. Gas Control. 101, 103149. [CrossRef] [Google Scholar]
- Chen S., Liu J., Zhang Q., Teng F., McLellan B.C. (2022) A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality, Renewable Sustainable Energy Rev. 167, 112537. [CrossRef] [Google Scholar]
- Cannone S.F., Lanzini A., Santarelli M. (2021) A review on CO2 capture technologies with focus on CO2-enhanced methane recovery from hydrates, Energies 14, 32. [Google Scholar]
- Aminu M.D., Nabavi S.A., Rochelle C.A., Manovic V. (2017) A review of developments in carbon dioxide storage, Appl. Energy 208, 1389–1419. [CrossRef] [Google Scholar]
- Zhang L., Ren S., Ren B., Zhang W., Guo Q., Zhang L. (2011) Assessment of CO2 storage capacity in oil reservoirs associated with large lateral/underlying aquifers: Case studies from China, Int. J. Greenh. Gas Control. 5, 1016–1021. [CrossRef] [Google Scholar]
- Wei N., Li X., Fang Z., Bai B., Li Q., Liu S., Jia Y. (2015) Regional resource distribution of onshore carbon geological utilization in China, J. CO2 Util. 11, 20–30. [Google Scholar]
- Liu D.Q., Li Y.L., Agarwal R. (2020) Evaluation of CO2 storage in a shale gas reservoir compared to a deep saline aquifer in the Ordos Basin of China, Energies 13, 17. [Google Scholar]
- IPCC (2005) Special Report on Carbon Dioxide Capture and Storage. Cambridge University Press, Cambridge, UK and New York, NY, USA. [Google Scholar]
- Checko J., Urych T., Magdziarczyk M., Smolinski A. (2020) Research on the processes of injecting CO2 into coal seams with CH4 recovery using horizontal wells, Energies 13, 20. [Google Scholar]
- Wei N., Li X., Dahowski R.T., Davidson C.L., Liu S., Zha Y. (2015) Economic evaluation on CO2-EOR of onshore oil fields in China, Int. J. Greenh. Gas Control. 37, 170–181. [CrossRef] [Google Scholar]
- Qin J., Han H., Liu X. (2015) Application and enlightenment of carbon dioxide flooding in the United States of America, Pet. Explor. Dev. 42, 232–240. [CrossRef] [MathSciNet] [Google Scholar]
- Alvarado V., Manrique E. (2010) Enhanced oil recovery: an update review, Energies 3, 1529–1575. [CrossRef] [Google Scholar]
- Cao C., Liu H.J., Hou Z.M., Mehmood F., Liao J.X., Feng W.T. (2020) A review of CO2 storage in view of safety and cost-effectiveness, Energies. 13, 45. [Google Scholar]
- Yin M. (2015) CO2 miscible flooding application and screening criteria, Masters Theses, 7423 p. https://scholarsmine.mst.edu/masters_theses/7423. [Google Scholar]
- Zhang N., Yin M.F., Wei M.Z., Bai B.J. (2019) Identification of CO2 sequestration opportunities: CO2 miscible flooding guidelines, Fuel 241, 459–467. [CrossRef] [Google Scholar]
- Wei Y.M., Kang J.N., Liu L.C., Li Q., Wang P.T., Hou J.J., Liang Q.M., Liao H., Huang S.F., Yu B. (2021) A proposed global layout of carbon capture and storage in line with a 2 °C climate target, Nat. Clim. Change 11, 112–118. [CrossRef] [Google Scholar]
- Wang P.T., Wei Y.M., Yang B., Li J.Q., Kang J.N., Liu L.C., Yu B.Y., Hou Y.B., Zhang X. (2020) Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint, Appl. Energy 263, 11. [Google Scholar]
- Wei N., Li X., Wang Q., Gao S. (2016) Budget-type techno-economic model for onshore CO2 pipeline transportation in China, Int. J. Greenh. Gas Control. 51, 176–192. [CrossRef] [Google Scholar]
- Jackson S. (2020) Development of a model for the estimation of the energy consumption associated with the transportation of CO2 in pipelines, Energies 13, 17. [Google Scholar]
- Zhang K., Lau H.C., Liu S., Li H. (2022) Carbon capture and storage in the coastal region of China between Shanghai and Hainan, Energy 247, 123470. [CrossRef] [Google Scholar]
- Luo E., Hu Y., Wang J., Fan Z., Hou Q., Ma L., Dai S. (2019) The effect of impurity on miscible CO2 displacement mechanism, Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles 74, 86. [CrossRef] [Google Scholar]
- Akhurst M., Hannis S.D., Quinn M.F., Shi J.-Q., Koenen M., Delprat-Jannaud F., Lecomte J.-C., Bossie-Codreanu D., Nagy S., Klimkowski Ł., Gei D., Pluymaekers M., Long D. (2015) Risk assessment-led characterisation of the SiteChar UK North sea site for the Geological Storage of CO2, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 70, 4, 567–586. [CrossRef] [Google Scholar]
- Holtz M.H., López V.N., Breton C.L. (2006) Moving Permian Basin Technology to the Gulf Coast: the Geologic Distribution of CO2 EOR Potential in Gulf Coast Reservoirs, Publications-West Texas Geological Society, 115, 189p. [Google Scholar]
- Shaw J., Bachu S. (2002) Screening, evaluation, and ranking of oil reservoirs suitable for CO2-Flood EOR and carbon dioxide sequestration, J. Can. Pet. Technol. 41, 11. PETSOC-02-09-05. [CrossRef] [Google Scholar]
- Kovscek A.R. (2002) Screening criteria for CO2 storage in oil reservoirs, Pet. Sci. Technol. 20, 841–866. [CrossRef] [Google Scholar]
- Al Adasani A., Bai B. (2011) Analysis of EOR projects and updated screening criteria, J. Pet. Sci. Eng. 79, 10–24. [Google Scholar]
- Yang W., Peng B., Liu Q., Wang S., Dong Y., Lai Y. (2017) Evaluation of CO2 enhanced oil recovery and CO2 storage potential in oil reservoirs of Bohai Bay Basin, China, Int. J. Greenh. Gas Control. 65, 86–98. [CrossRef] [Google Scholar]
- Zhang K., Lau H.C., Chen Z. (2022) Regional carbon capture and storage opportunities in Alberta, Canada, Fuel 322, 124224. [CrossRef] [Google Scholar]
- Rosiani D., Permadi A.K., Siregar H.P.S., Gunawan A.Y., Ariadji T. (2022) A new CO2-EOR methods screening model based on interdependency parameters, Appl. Sci. 12, 3937. [CrossRef] [Google Scholar]
- Olukoga T.A., Feng Y. (2022) Determination of miscible CO2 flooding analogue projects with machine learning, J. Pet. Sci. Eng. 209, 109826. [CrossRef] [Google Scholar]
- Lv G., Li Q., Wang S., Li X. (2015) Key techniques of reservoir engineering and injection–production process for CO2 flooding in China’s SINOPEC Shengli Oilfield, J. CO2 Util. 11, 31–40. [Google Scholar]
- Zhao X., Liao X. (2012) Evaluation method of CO2 sequestration and enhanced oil recovery in an oil reservoir, as applied to the Changqing Oilfields, China, Energy Fuels 26, 5350–5354. [CrossRef] [Google Scholar]
- He L., Shen P., Liao X., Gao Q., Wang C., Li F. (2015) Study on CO2 EOR and its geological sequestration potential in oil field around Yulin city, J. Pet. Sci. Eng. 134, 199–204. [CrossRef] [Google Scholar]
- He L., Shen P., Liao X., Li F., Gao Q., Wang Z. (2016) Potential evaluation of CO2 EOR and sequestration in Yanchang oilfield, J. Energy Institute 89, 215–221. [CrossRef] [Google Scholar]
- Wang H., Liao X., Dou X., Shang B., Ye H., Zhao D., Liao C., Chen X. (2014) Potential evaluation of CO2 sequestration and enhanced oil recovery of low permeability reservoir in the Junggar Basin, China, Energy Fuels 28, 3281–3291. [CrossRef] [Google Scholar]
- Li P., Liu X., Lu J., Zhou D., Hovorka S.D., Hu G., Liang X. (2018) Potential evaluation of CO2 EOR and storage in oilfields of the Pearl River Mouth Basin, northern South China Sea, Greenh. Gas Sci. Technol. 8, 954–977. [CrossRef] [Google Scholar]
- Li P., Yi L., Liu X., Hu G., Lu J., Zhou D., Hovorka S., Liang D. (2019) Screening and simulation of offshore CO2-EOR and storage: A case study for the HZ21-1 oilfield in the Pearl River Mouth Basin, Northern South China Sea, Int. J. Greenh. Gas Control. 86, 66–81. [CrossRef] [Google Scholar]
- Li H., Lau H.C., Wei X., Liu S. (2021) CO2 storage potential in major oil and gas reservoirs in the northern South China Sea, Int. J. Greenh. Gas Control. 108, 103328. [CrossRef] [Google Scholar]
- Sun L., Dou H., Li Z., Hu Y., Hao X. (2018) Assessment of CO2 storage potential and carbon capture, utilization and storage prospect in China, J. Energy Institute 91, 970–977. [CrossRef] [Google Scholar]
- IHS Markit (2021) Energy & Natural Resources. https://ihsmarkit.com/industry/energy.html, accessed on August 6, 2021. [Google Scholar]
- Taber J.J., Martin F.D., Seright R.S. (1997) EOR screening criteria revisited – Part 2: Applications and impact of oil prices. SPE-39234-PA, SPE Res. Eng. 12, 199–206. [CrossRef] [Google Scholar]
- Bachu S. (2016) Identification of oil reservoirs suitable for CO2-EOR and CO2 storage (CCUS) using reserves databases, with application to Alberta, Canada, Int. J. Greenh. Gas Control. 44, 152–165. [CrossRef] [Google Scholar]
- Holtz M.H., Nance P.K., Finley R.J. (1999) Reduction of greenhouse gas emissions through underground CO2 sequestration in Texas oil reservoirs. In: American Association of Petroleum Geologists International Conference 1999. [Google Scholar]
- Kumar N., Augusto Sampaio M., Ojha K., Hoteit H., Mandal A. (2022) Fundamental aspects, mechanisms and emerging possibilities of CO2 miscible flooding in enhanced oil recovery: A review, Fuel 330, 125633. [CrossRef] [Google Scholar]
- Fan G., Zhao Y., Li Y., Zhang X., Chen H. (2021) Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester, Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles 76, 30. [CrossRef] [Google Scholar]
- Santos D.C., Lamim M.N., Costa D.S., Mehl A., Couto P., Paredes M.L.L. (2021) Experimental and modeling studies of density and viscosity behavior of a live fluid due to CO2 injection at reservoir condition, Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles 76, 45. [CrossRef] [Google Scholar]
- Beggs H.D., Robinson J.R. (1975) Estimating the viscosity of crude oil systems, J. Pet. Technol. 27 9, 1140–1141. [CrossRef] [Google Scholar]
- Dahowski R., Li X., Davidson C., Wei N., Dooley J. (2009) Regional opportunities for carbon dioxide capture and storage in China: A comprehensive CO2 storage cost curve and analysis of the potential for large scale carbon dioxide capture and storage in the People’s Republic of China (No. PNNL-19091), Pacific Northwest National Lab (PNNL), Richland, WA (United States). [Google Scholar]
- Li X.C., Wei N., Fang Z.M., Li Q., Dahowski R.T., Davidson C.L. (2011) Early opportunities of carbon capture and storage in China, Energy Proc. 4, 6029–6036. [CrossRef] [Google Scholar]
- IEAGHG (2002) Opportunities for early application of CO2 sequestration technology, Cheltenham, UK. [Google Scholar]
- Li X.C, Wei N., Liu Y., Fang Z.M., Bai B., Dahowski R.T., Davidson C.L. (2009) CO2 point emission and geological storage capacity in China, Energy Proc. 1, 2793–2800. [CrossRef] [Google Scholar]
- Guoyu Li, Minggang Lv (2003) Atlas of China’s Petroliferous Basins, (2nd Ed., in Chinese), Petroleum Industry Press, Beijing. [Google Scholar]
- USGS (2000) Geologic Provinces of the World, 2000 World Petroleum Assessment, all defined provinces, USGS. [Google Scholar]
- Guangming Z. (2003) Petroleum Geology of China (in Chinese), Petroleum Industry Press, Beijing. [Google Scholar]
- USGS. USGS World Petroleum Assessment 2000: New Conventional Provinces, 2000. [Google Scholar]
- Kang P.-S., Lim J.-S., Huh C. (2016) Screening criteria and considerations of offshore Enhanced Oil Recovery, Energies 9, 44. [CrossRef] [Google Scholar]
- CSLF. CSLF Task Force on Clusters, Hubs, and Infrastructure, 2019. [Google Scholar]
- Cao C., Liu H., Hou Z., Mehmood F., Liao J., Feng W. (2020) A review of CO2 storage in view of safety and cost-effectiveness, Energies 13, 600. [Google Scholar]
- Lee J.S., Choi E.C. (2018) CO2 leakage environmental damage cost – A CCS project in South Korea, Renewable Sustainable Energy Rev. 93, 753–758. [CrossRef] [Google Scholar]
- Li Q., Liu G. (2016) Risk assessment of the geological storage of CO2: A review, Geologic Carbon Sequest. 249–284. [Google Scholar]
- Wei N., Li X., Wang Y., Dahowski R.T., Davidson C.L., Bromhal G.S. (2013) A preliminary sub-basin scale evaluation framework of site suitability for onshore aquifer-based CO2 storage in China, Int. J. Greenh. Gas Control. 12, 231–246. [CrossRef] [Google Scholar]
- Zhang S.Q., Guo J.Q., Li X.F., Fan J.J., Diao Y.J. (2011) Geological foundation and site geological evaluation of carbon dioxide geological storage in China (in Chinese), Geological Press, Beijing. [Google Scholar]
Appendix
Table of average low temperature gradients in major basins and regions in China [66]
T H is the low temperature at H; α is a constant, which can be found on the table; G is the ground temperature gradient (℃/100m); H is the depth (m).
Table of average low temperature gradients in major basins and regions in China.
The gradient data sources in the table are based on borehole temperature measurement data from various petroleum departments, except for the source indicated in the remarks. The low temperature of different depths can be calculated according to the formula.
All Tables
Table of average low temperature gradients in major basins and regions in China.
All Figures
![]() |
Figure 1 Evaluation framework for CO2-EOR and CO2 storage potential. |
In the text |
![]() |
Figure 2 Reservoir distribution suitable for CO2-EOR in China. |
In the text |
![]() |
Figure 3 The total number of evaluated oil reservoirs and CO2-EOR potential in a petroliferous sedimentary basin in China. |
In the text |
![]() |
Figure 4 The total number of evaluated oil reservoirs and CO2 storage potential in a petroliferous sedimentary basin in China. |
In the text |
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