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Published: 23 February 2025
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International Journal of Coal Science & Technology Volume 12, article number 18, (2025)
1.
Department of Geotechnical Engineering, Tongji University, Shanghai, China
2.
School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan
3.
Satbayev University, Almaty, Kazakhstan
The increasing atmospheric CO2 concentration linked to human activity results in global warming by the greenhouse effect. This anthropogenic CO2 may be sequestrated into geological formations, e.g., porous basalts, saline aquifers, depleted oil or gas reservoirs, and unmineable coal seams. Furthermore, carbon capture, utilization, and storage (CCUS) methods are an acceptable and sustainable technology to meet the goals of the Paris Agreement, in which Kazakhstan is expected to reduce greenhouse gas emissions by 25% compared with the 1990 level. Unmineable coal seams are an attractive option among all geostorage solutions, as CO2 sequestration in coal comes with an income stream via enhanced coalbed methane (ECBM) recovery. This paper identifies four carboniferous coal formations, namely Karagandy, Teniz-Korzhinkol, Ekibustuz, and Chu coal basins of Kazakhstan, as CO2 geostorage solutions for their unmineable coal seams. The ideal depth of CO2 storage is identified as 800 m to ensure the supercritical state of CO2. However, the Ekibustuz coal basin fails to meet the required depth of 800 m in its unmineable coal seams. The conventional formula for calculating CO2 storage in coal basins has been modified, and a new formula has been proposed for assessing the CO2 storage potential in a coal seam. The CO2 storage capacities of unmineable coal seam of these coal basins are 24.60 Bt, 0.61 Bt, 14.02 Bt, and 5.42 Bt, respectively. The Langmuir volume of the coal fields was calculated using the proximate analysis of coalfields and found to vary between 36.42 and 98.90 m3/ton. This paper is the first to outline CO2 storage potential in Kazakhstani coal basins, albeit with limited data, along with a detailed geological and paleographic review of the carboniferous coalfields of Kazakhstan. A short overview of the CO2-ECBM process was also included in the paper. Instead of any experimental work for CO2 storage, this paper attempts to present the CO2 storage capacity of carboniferous coal formation using the modified version of previously determined formulas for CO2 storage.
The growth in science, technology, and productivity during the industrial age of the nineteenth century was concurrent with wealth generation based upon cheap energy from fossil fuels and primarily coal (Asif et al. 2019c). This growth and the subsequent shift to petroleum for energy have also carried many challenges for human beings (Longinos et al. 2022, 2021). Anthropogenic climate change, or change in long-term climate patterns induced by human activity, is the greatest challenge facing us in the wake of this development (Asif et al. 2018a, b). Particularly, global warming, or the rise in average temperatures in the earth’s atmosphere, is a critical phenomenon that is impacting and will continue to affect our planet in the foreseeable future (Longinos and Parlaktuna 2021). Global warming results from an accumulation of certain gases, e.g., CH4 and CO2, accumulating in the atmosphere beyond the natural balance in the carbon cycle. These gases trap the heat radiating from the earth that was generated from incident sunlight, thus increasing the average temperature of the earth’s atmosphere. Since temperature plays a critical role in weather patterns, agriculture, and the security of economic systems, it is necessary to control the problem of human-induced global warming (Asif et al. 2022c; Serikov et al. 2022). According to the Intergovernmental Panel on Climate Change (IPCC), Global warming has caused the temperature to rise 1 °C above preindustrial levels and may increase to 1.5 °C between 2030 and 2052 (IPCC 2018). The United Nations also commissioned a report in 2019 with a clear warning that the current rate of temperature rise will take a huge toll on lives, natural systems, and the economy (United Nations 2019).
The proposed goal to remove 1000 Giga tons of CO2 from the earth’s atmosphere by 2100 demands additional carbon dioxide removal (CDR) techniques and air capture plants. About 53 Giga tons of greenhouse gases are emitted each year, and the world would need to deploy enough CDRs to counteract more than 18 years of total global carbon emissions, as suggested by World Bank in 2016 (WBG 2016). The emission of CO2 in the atmosphere has been increased to 130 ppm (280 to 410 ppm) from the preindustrial period to the present time (IPCC 2018). Five methods are suggested to counter the increasing emission of CO2 in the atmosphere, e.g., switching to low-carbon generation fuel, increasing conservation, deploying energy efficient methods, improving environmental protection, and sequestering CO2 (Meer 2005).
The sequestration of CO2 in geological formations is presently the most feasible and effective method. Geological formations, e.g., the porous basalts, saline aquifers, depleted oil and gas reservoirs, or unmineable coal seams offer viable options for the longtime storage of CO2 (Bachu and Adams 2003). A schematic diagram for the geological storage options of CO2 has been shown in Fig. 1.
Geologic storage options for carbon dioxide (Perera 2014)
This paper provides a detailed geological review of the carboniferous coal basins of Kazakhstan and assesses their viability for CO2 storage. The paper is divided into four parts: (1) A description of the energy sector using coal in Kazakhstan, (2) A short review of CO2-ECBM recovery, (3) A detailed geological review of carboniferous coal basins in Kazakhstan, and (4) An assessment of Kazakhstan coal basins as for potential CO2 storage.
Coal has experienced significant growth as a cheap and available energy source worldwide, surpassing the growth rates of gas, oil, nuclear, hydro, and other renewable sources (Muhammed et al. 2022). Similarly, in Kazakhstan, a country with a thriving economy, coal deposits play a vital role in meeting its energy demands. Additionally, Kazakhstan stands out for its extensive use of coal for household heating, ranking among the highest in the world. According to a report by The World-Watch Institute in 2020, Kazakhstan's carbon emissions amounted to approximately 272 million tons in 2019. Of these emissions, 235.3 million tons were attributed to energy-related activities, accounting for 0.55% of global emissions in terms of CO2 equivalent. The sources of CO2 emissions in Kazakhstan include fossil fuel combustion in various sectors, e.g., power generation industries, heating in residential complexes, and fuel for vehicles. Notably, coal-fired plants were responsible for an estimated 176 million tons of CO2 emissions in 2019, comprising 70% of the country's annual emissions (Khoyashov et al. 2024). This high percentage can be attributed to the dominant use of coal as a fuel for power generation, contributing to over 70% of Kazakhstan's electricity production in 2022 (Agency 2022).
Kazakhstan, like many other countries, must prioritize the precise monitoring and regulation of methane emissions originating from coal mines, as stated in the ESR Report of 2022. The country faces additional environmental challenges due to its outdated, inefficient, and highly polluting coal-fired thermal power plants, as highlighted in the same report. With a total of 14 major coal-fired thermal power plants, Kazakhstan's concentration of these facilities is primarily found in its northern power zones, where coal production takes place, as illustrated in Fig. 2. The energy transition in Kazakhstan will be challenging.
In coal mining, methane poses a risk to the health and safety of workers and operations. While the energy released in burning coal drives its use as a fuel, coal also contains large volumes of adsorbed methane – an energy transition low carbon generation fuel. While coal has this natural affinity to store methane, it has an even stronger affinity for CO2, presenting a unique opportunity to sequester CO2, usually a pure operational cost, while providing a low carbon generation fuel as an income stream (Baines and Worden 2004; Tiyntayev et al. 2022). The process is named CO2-ECBM, where ECBM stands for Enhanced Coal Bed Methane (Asif et al. 2021).
Unmineable coal seams have advantages over geo-sequestration methods, as they are economically attractive and efficient for the environment. Concurrent with CO2 injection, the preferential adsorption of CO2 over CH4 in coal displaces the methane rapidly (Ahuja et al. 2021). The CO2-ECBM process is illustrated in Fig. 3a. The CO2-ECBM process offers a dual advantage for humans as CO2 can be permanently stored in the coalfields while enhancing the coalbed methane recovery. Furthermore, it was identified that ~ 98% of CO2 could remain in the coal in an adsorbed form (Asif et al. 2019b, 2017; Bustin and Clarkson 1998). The initial commercial ECBM field and the longest trial were performed between 1995–2001 at the Allison unit in San Juan, where approximately 5 billion cubic feet were injected, resulting in a profit of $2 per thousand cubic feet. Other than this pilot project, significant projects have been conducted such as Powder River has been conducted e.g., Powder River Basin, Black Warrior Basin, Fenn-Big Valley in Alberta, Canada, the Yuabri project in Hokkaido, Japan, and China (including the Qinshui Basin from 2004 to 2015 and the APP ECBM project from 2011 to 2012) (Fan et al. 2023; Godec et al. 2014).
Depiction of mechanism in CO2-ECBM process (Asif et al. 2022c)
The work of a few researchers relevant to the CO2-ECBM recovery has been summarized from Tables 1, 2 and 3 from the start of the research in 1998 till date (2024). Table 1 includes theoretical and modeling research and Table 2 includes some of the experimental research in the CO2-ECBM process. The pilot test and commercial projects have been included in Table 3.
S.N | Title of paper | Significance | References |
---|---|---|---|
1 | “Enhanced Coalbed Methane using CO2 injection: Worldwide resource and CO2 sequestration potential” | This study was the first to describe reservoir engineering principles for ECBM recovery using CO2 sequestration | Stevens et al. (1998) |
2 | “Reservoir Engineering Aspects of CO2 Sequestration in Coals” | This was the first paper to modify Katz and Tek's objectives from natural gas for utilizing these techniques for CO2 sequestration | Seidle (2000) |
3 | “Numerical Simulator Comparison Study for Enhanced Coalbed Methane Recovery Processes, Part I: Pure Carbon Dioxide Injection” | This research was about the comparison of results of different numerical simulators for ECBM recovery | Law et al. (2002) |
4 | “Sequestration of Carbon Dioxide in Coal with Enhanced Coalbed Methane Recovery: A Review” | A detailed review on CO2 sequestration and ECBM recovery with a particular focus on reservoir properties, a field test in U.S. coalbeds, the economics involved in ECBM recovery and health and safety, etc | White et al. (2005) |
5 | “A Case Study on the Numerical Simulation of Enhanced Coalbed Methane Recovery” | This paper uses a hypothetical pilot-scale project to define the sorption and diffusion characteristics of coal for CO2 sequestration | Wei et al. (2006) |
6 | “A Review on Recent Advances in the Numerical Simulation for Coalbed Methane Recovery Process” | This paper points out the limitations of existing CBM models with a particular focus on ECBM recovery | Wei et al. (2007) |
7 | “Modelling of Mixed-Gas Adsorption and Diffusion in Coalbed Reservoirs” | This paper shows missed-gas adsorption and diffusion modeling in coalbeds using a reservoir simulation study of the Yubari CO2 storage project | Shi and Durucan (2008) |
8 | “Enhanced Coalbed Methane Recovery” | This paper provides the feasibility of ECBM recovery using a summary of the results of existing ECBM field tests | Mazzotti et al. (2009) |
9 | “CO2 sequestration in coals and enhanced coalbed methane recovery: New numerical approach” | A dynamic multicomponent transport (DMCT) model was applied in this paper to simulate gas diffusion and flow behavior of mixed gases ECBM recovery | Wei et al. (2010) |
10 | “Adsorption and strain: The CO2-induced swelling of coal” | The theoretical framework was developed to define sorption-induced strain in a porous solid. This paper presents that injection of CO2 for the ECBM process caused coal matrix swelling and decreased permeability of coal | Vandamme et al. (2010) |
11 | ” A model for enhanced coal bed methane recovery aimed at carbon dioxide storage” | One dimensional mathematical model was used to judge the performance of enhanced coalbed methane recovery using CO2 sequestration | Pini et al. (2011) |
12 | “Implementing Simulation and Artificial Intelligence Tools to Optimize the Performance of the CO2 Sequestration in Coalbed Methane Reservoirs” | An Artificial Neural Network (ANN) was developed to forecast the crucial parameters that affect the performance of the reservoir, e.g., the amount of methane produced concerning CO2 injected | Mohammadpoor et al. (2012) |
13 | “Numerical modelling of Gondwana coal seams in India as coalbed methane reservoirs substituted for carbon dioxide sequestration” | Technical feasibility of the CO2-ECBM process in Indian coals was carried out using COMET 3 | Vishal et al. (2013) |
14 | “A parametric study of coal mass and caprock behavior and carbon dioxide flow during and after carbon dioxide injection” | The main objective of this paper was to model the effect of injection pressure for CO2 storage and the possibility of back migration of CO2 in the atmosphere using COMSOL Multiphysics simulator | Perera et al. (2013) |
15 | “Current status and technical challenges of CO2 storage in coal seams and enhanced coalbed methane recovery: an overview” | The global status of CO2-ECBM technology over the last two decades was overviewed using the CO2 storage capacity of coalbed, laboratory investigation, modeling, and pilot testing | Li and Fang (2014) |
16 | “Optimal scheduling for enhanced coalbed methane production through CO2 injection” | A new deterministic and stochastic model was proposed for CO2- ECBM production and maximization of total profit | Huang et al. (2014) |
17 | “Investigation of varying composition gas injection for coalbed methane recovery enhancement: A simulation-based study” | It was shown through simulation that if the composition of injected gas altered, there was 6% more methane recovery than the conventional ECBM technique | Sayyafzadeh et al. (2015) |
18 | “Influence of sorption time in CO2-ECBM process in Indian coals using coupled numerical simulation” | The role of sorption time for CO2- ECBM processing Indian coals was investigated using numerical simulation | Vishal et al. (2015) |
19 | “Optimization of gas mixture injection for enhanced coalbed methane recovery using a parallel genetic algorithm” | Parallel genetic algorithm coupled with ECLIPSE-E300 coalbed simulator for the development of the economic objective function. The proposed methodology gives good revenue with the gas mixture, e.g., N2/CO2 ECBM process | Sayyafzadeh and Keshavarz (2016) |
20 | “Modeling of CO2 sequestration in coal seams: Role of CO2-induced coal softening on injectivity, storage efficiency and caprock deformation” | CO2 sequestration in coal seams was modeled using a coupled-flow deformation model that considers coal softening | Ma et al. (2017) |
21 | “Simulation of CO2 enhanced coalbed methane recovery in Jharia coalfields, India” | One numerical model was proposed using COMET3 reservoir simulator for the simulation of CO2-ECBM recovery | Vishal et al. (2018) |
22 | “Modeling CH4Displacement by CO2 in Deformed Coalbeds during Enhanced Coalbed Methane Recovery” | The displacement calculation of methane due to CO2 adsorption in deformed coal was investigated in this chapter. Further, the model was combined with TOUGH2 to simulate the ECBM reservoir | Zeng et al. (2018) |
23 | “CO2 storage in coal to enhance coalbed methane recovery: a review of field experiments in China” | A review of past and present ECBM projects has been discussed in this paper and a comparison of this project with globally operated ECBM projects was also presented | Pan et al. (2018) |
24 | “A review of experimental research on Enhanced Coal Bed Methane (ECBM) recovery via CO2 sequestration” | A comprehensive review of the experimental methods used in CO2-ECBM recovery was utilized in this | Mukherjee and Misra (2018) |
25 | “Thermo-hydro-mechanical-chemical couplings controlling CH4 production and CO2 sequestration in enhanced coalbed methane recovery” | THMC model was performed for the CO2-ECBM recovery | Fan et al. (2019) |
26 | “Multiscale model for flow and transport in CO2-enhanced coalbed methane recovery incorporating gas mixture adsorption effects” | A multiscale model was developed for discussing the flow and transport of CO2 and CH4 in ECBM recovery incorporating the DFT theory | Le et al. (2020) |
27 | “Integrated assessment of CO2-ECBM potential in Jharia Coalfield, India | A numerical simulation study was presented for CO2-ECBM recovery from Jharia Coalfield India using COMET3 simulation software | Asif et al. (2022b) |
28 | “Mechanisms in CO2-enhanced coalbed methane recovery process” | The mechanism involved in the CO2-ECBM process was discussed in a nutshell | Asif et al. (2022c) |
29 | “Recent Advances and Perspectives of CO2-Enhanced Coalbed Methane: Experimental, Modeling, and Technological Development” | A review of CO2-ECBM recovery was presented by following experimental and modeling approaches. Some of the field test results were also elaborated in this review paper | Fan et al. (2023) |
S.N | Title of paper | Significance | Reference |
---|---|---|---|
1 | “Relationship Of Sorption Capacity to Coal Quality: CO2 Sequestration Potential of Coalbed Methane Reservoirs in The Black Warrior Basin” | Coal quality and gas sorption capacity of coal quality of The Black Warrior Basin were discussed for CO2 sequestration and ECBM | Carroll and Pashin (2003) |
2 | “Economics for Enhanced Coalbed Methane (ECBM) and CO2 Sequestration with Horizontal Wells” | The concept of Net Present Value (NPV) was used to discuss the economics of the CO2-ECBM project | Jikich et al. (2004) |
3 | “Coalbed methane reservoir data and simulator parameter uncertainty modelling for CO2 storage performance assessment” | This paper uses a qualitative methodology for the estimation of variability and uncertainty in geological storage of CO2 in coalbeds | Korre et al. (2007) |
4 | “Gas mixture enhance coalbed methane recovery technology: pilot tests” | Gas mixture Enhanced Coalbed Methane (G ECBM) technology was used for enhanced coalbed recovery. For that two-pilot test project was taken into consideration in China | Fang et al. (2011) |
5 | “Coal Bed Methane in India: Difficulties and Prospects” | Difficulties for CBM and ECBM extraction were discussed with a case study of the coalfield of the Gondwana basin | Ojha et al. (2011) |
6 | “Optimizing enhanced coalbed methane recovery for unhindered production and CO2 injectivity” | The effect of gas pressure and stress on the permeability of the CBM reservoir pervaded by CO2 injection was investigated | Kumar et al. (2012) |
7 | “Swelling-induced changes in coal microstructure due to supercritical CO2 injection” | This paper claims that Microcleat closure was obtained by supercritical CO2 flooding in situ by using an X-ray microcomputed tomography flooding apparatus | Zhang et al. (2016) |
8 | “Effects of Supercritical CO2 Fluids on Pore Morphology of Coal: Implications for CO2 Geological Sequestration” | The conceptual model was developed to explain the desorption process for understanding pore morphology under supercritical CO2 at high-pressure condition | Zhang et al. (2017) |
9 | “Sorption Kinetics of CH4 and CO2 Diffusion in Coal: Theoretical and Experimental Study” | An experimental and modeling approach was applied to study the diffusion of CO2 and CH4 in coal | Naveen et al. (2017) |
10 | “In-situ disposal of CO2: Liquid and supercritical CO2 permeability in coal at multiple down-hole stress conditions” | Permeability experiments were analyzed using liquid and supercritical phases of CO2 in fractured bituminous coal | Vishal (2017) |
11 | “An experimental investigation of the applicability of CO2 enhanced coal bed methane recovery to low-rank coal” | CO2 core flooding tests were conducted on CH4-saturated Victorian brown coal samples to investigate the CO2 –ECBM potential of the same | Ranathunga et al. (2017) |
12 | “Adsorption isotherms of CO2 – CH4 binary mixture using IAST for optimized ECBM recovery from sub-bituminous coals of Jharia coalfield: an experimental and modeling approach” | Competitive adsorption of CO2-CH4 was studied using the IAST model. MATLAB code was developed for the iterative calculation from IAST | Asif et al. (2019a) |
13 | “Dynamic Fluid Interactions during CO2-Enhanced Coalbed Methane and CO2 Sequestration in Coal Seams. Part 1: CO2–CH4 Interactions” | NMR technique was applied for the CH4 desorption, and CO2 ECBM flooding was studied under in-situ condition | Zheng et al. (2020) |
14 | “Liquid CO2 injection to enhance coalbed methane recovery: An experiment and in-situ application test” | This study investigated the ECBM recovery by liquid CO2 injection under laboratory condition | Wei et al. (2021) |
15 | “The effect of subcritical and supercritical CO2 on the pore structure of bituminous coals” | The effect on porosity, total pore volume, pore size distribution, and fractal were investigated after treating coal samples with sub and super-critical CO2 | Cheng et al. (2021) |
16 | “Laboratory experiments of CO2 enhanced coalbed methane recovery considering CO2 sequestration in a coal seam” | The synergistic effect of the CO2-ECBM process was studied using a large-scale multifunctional apparatus | Zhang et al. (2023) |
17 | “Influence of competitive adsorption, diffusion, and dispersion of CH4 and CO2 gases during the CO2-ECBM process” | Competitive adsorption, diffusion, and dispersion were redefined to discuss the methane displacement in the CO2-ECBM process | Asif et al. (2024) |
S.N | Pilot tests | Location | Methodology | Objectives and results | Reference |
---|---|---|---|---|---|
1 | Allison Unit CO2-ECBM Pilot 1995–2001 | San Juan Basin, New Mexico, USA | 5 Spot pattern, 1 injector, and 4 producers well | A significant increment of 17% was observed in CH4 production after the CO2 injection into the reservoir (77%–95%) | |
2 | Fenn-Big Valley CO2-ECBM Pilot, 1998–2000 | FennBig Valley in Central Alberta Canada | A micro pilot test was conducted with 1 injection and 1 production well | Pure CO2 and flue gas were injected Methane production was increased by 147% | Gunter et al. (2005) |
3 | Cv‾ictus CO2 injection pilot (Deep Mannville coal) 04.2021–02.2022 | Mikwan area, near Red Deer, Alberta | ECBM Pilot test with single production and an observation well | CO2 injection viability and quantify the migration of water to evaluate the significant mechanism for improving the Enhanced Hydrogen Recovery process | Yang et al. (2023) |
4 | RECOPOL project 2003–2005 | Upper Silesian Basin in Poland | ECBM Pilot project with 1 production and 1 injection well; | The main goal of this project was to demonstrate whether CO2 injection under European Conditions is feasible | Pagnier et al. (2005) |
5 | CO2-ECBM process 2004–2007 | Ishikari coal field in Hokkaido, Japan | Single production and injection well | Production increased to 200% during the initial days of CO2 injection and gradually decreased | Fujioka et al. (2010) |
6 | CO2-ECBM pilot, 2003–2004 | Qinshui Basin, Jincheng City, Southeast of Shanxi Province, China | Single production and injection well | Approximately 200 t of CO2 was injected; Stopped due to operation problems | Liu et al. (2020) |
The mechanism of the CO2-ECBM process lies in the adsorption phenomenon itself. When CH4 or CO2 interacts with coal, there is physisorption rather than chemisorption. Thus, this process alters the adsorption energy and molecular bonds between gas and coal molecules. Inside the coal structure, the coal molecules are intact, with equilibrium forces between them. However, a force imbalance occurs between the surface and inside molecules. Therefore, potential adsorption sites are created at the surface, which attract the gas molecules for adsorption (Asif et al. 2019a; Mohammad et al. 2012; Ottiger et al. 2008; Shimada et al. 2005; Yu et al. 2014). On the surface of the coal, the gas molecules adhere to the surface by weak van der Walls forces. The van der Walls equation has been given in Eq. (1):
When CO2 is injected in coal seams, it decreases the partial pressure of CH4 without decreasing the overall reservoir pressure, which leads to fast desorption of CH4 and adsorption of CO2 in its place (Norouzbahari et al. 2015; Perera et al. 2012; J. Q. Shi and Durucan 2005). However, the desorption of CH4 is incomplete. A competitive adsorption phenomenon between CO2 and CH4 is a function of concentration (Asif et al. 2018a, b). It may be noted from Eq. (1) that the measure of intermolecular forces represented by the ‘a’ value of CO2 is more than CH4 (Table 4), which suggests that CO2 would be preferentially adsorbed over CH4.
S.N | Properties | CO2 | CH4 |
---|---|---|---|
1 | Kinetic diameter (nm) | 0.33 | 0.38 |
2 | van der Walls constant (a) (bar L2/mol2) | 3.658 | 2.30 |
3 | Critical pressure (MPa) | 7.38 | 4.641 |
4 | Critical temperature (°C) | 31.8 | 82.01 |
Due to the distinct properties of CO2, as shown in Table 4, the preferential adsorption leads to adsorption capacity differences between 2 to 10 times (Asif et al. 2022a). Therefore, storage of CO2 in coalfield affords long-term stability with reduced risk of back migration of CO2 into the atmosphere.
Furthermore, it is identified that the preferred depth for CO2 sequestration in coal seams is over 800 m since, at this depth, CO2 is a supercritical phase with liquid-like density (Pashin and Mcintyre 2003), thus high storage capacity, and efficient use of coal porosity. It may be observed from Fig. 3b that CO2 is injected at point 1, where both pressure and temperature are at surface conditions. Supercritical CO2 also possesses higher adsorption capacity than subcritical CO2 and has more potential to displace methane (Fan et al. 2020). The competitive adsorption for adsorption sites between CO2 and CH4 is depicted in Fig. 3c, with a co-adsorption adsorption isotherm shown in Fig. 3d.
Kazakhstan, the ninth largest country in the world by land mass, possesses substantial coal reserves in the central and northeastern parts of the country, estimated to be 170 Bt, with coal production of 103 Mt/year from 400 operating mines (Ammosov et al. 1973a, b, Azizov et al. 2013). Two-thirds of Kazakhstan's coal is bituminous and sub-bituminous coal. Four carboniferous coal formations are described here, notably the Karagandy, Teniz-Korzhinkol, Ekibustuz, and Chu coal basins (Fig. 4). Except for the Chu basin, the three remaining are major coal-producing coalfields of Kazakhstan.
Karagandy coal basin is the country’s main coal-producing basin (around 37 Mt/year) in the Karagandy region. The basin enriches all types of coal (from lignite to anthracite) in the main seven coal formations (Shahan, Tentek, Dolyn, Nadkaragnda, Karaganda, Ashlyar, and Akkuduk) of Lower-Middle-Upper Carboniferous age with a thickness between 350–850 m.
Teniz-Korzhynkol coal basin is located in the Akmola region, which is 200 km southwest of Astana and includes four Lower Carboniferous coal-producing deposits (Qosmurun in the west, Qyzylsor in the south, Bozshasor in the north and Saryadyr in the southeast). This coal basin includes all coal types from lignite to anthracite in the Karagandy, Ashlyar, and Akkuduk coal formations of thickness between 430 to 450 m). This coal basin produces 3 Mt/year.
Ekibastuz coal basin is located in the Pavlodar region and contains Lower Carboniferous coal formations. Coal is being produced by three giant open-pit mines (Bogatyr, Severniy, and Vostochniy) in the basin. The basin includes all coal types, from lignite to anthracite, in Nadkaragandy, Karagandy, Ashlyar, and Akkuduk coal formations. The coal production from the basin is about 30 Mt/year.
The Chu coal basin is in the Zhambyl region. It has all coal types (from lignite to anthracite) in the Lower Carboniferous coal formations (Visean and Tunisian) ranging between 350 and 850 m thick.
The stratigraphic column of the four coal basins is shown in Fig. 5.
The Karagandy coal basin, a deep synclinal sub-latitudinal structure covering approximately 3600 km2, has the largest area in Kazakhstan with a width of approximately 30 km east to west and a length of 120 km measured north to south. It hosts the three synclinal trough separated by the Alabas and Maikuduk uplifts of Tentek, Churubay-Nurun, and Dubov (Fig. 6). The basin contains mainly Devonian strata of volcanic-sedimentary and sedimentary rocks of sandstone (36%), siltstone (30%), mudstone (27%) and others (10%) of tuffs, carbonate rocks and conglomerate. While the Carboniferous sequence in the basin contains sandstone and clay, it ranges up to 4500 m and includes 80 coal seams. The depth of the Carboniferous coal formation is down to 1800 m, while the Jurassic coal formation is found in depths from 300 to 450 m. The Lower-Middle Carboniferous coal formations consist of deep coal seams in the Karagandy, Ashlyar, and Akkuduk formations, while other coal seam formations are shallow. These three coal basins host all coal varieties, from lignite to anthracite. The seams of interest here lie in the carboniferous formation. The deeper coal seams were highlighted in the red dotted line as a potential target for CO2 storage.
Geological cross-section of the Karagandy coal basin showing Lower Jurassic coal-bearing strata : 1. Middle Jurassic Mihailov Formation (J2mh, mudstone); 2. Lower Jurassic Kumuskuduk Formation (J1km, siltstone); 3. Lower Jurassic Dubov Formation (J1db, Sandstone); 4. Upper Triassic-Lower Jurassic Saran Formation (T3–J1sr, gravels, conglomerate); Carboniferous formations from 5.Upper Carboniferous Shahan Formation (C3sh), 6. Middle Carboniferous Tentek Formation (C2te), 7. Middle Carboniferous Dolyn Formation (C2do), 8. Lower Carboniferous Nadkaragndy Formation (C1na), 9. Lower Carboniferous Karagandy Formation (C1ka) to 10. Lower Carboniferous Ashlyar Formation (C1ash); 11. Upper Devonian; 12. Middle Devonian; 13. Lower Devonian; 14. Faults; 15. Coal seams; 16. A cross-sectional profile (modified after Azizov et al. 2013); Mining area: I-Tentek; II- Churubay-Nuryn; III-Karagandy; IV-Verhnesokur; Underground mines: 1-Tentek; 2-Kazakhstan; 3-Shahtins; 4-Lenin; 5-Abay; 6-Saran; 7-Kuzembayev; and 8-Kostenko) (Sabitova 2015; Junussov et al. 2024)
The coal has many fractures ranging between 2 mm × 2 mm and 6 mm × 6 mm. The coal has a low sulfur content of up to 1.5% and a moisture content of up to 14%. The basin contains one of the largest concentrations of methane gas, ranging between 22–25 m3/t. The ash content of coals varies from 20%–30%, while vitrinite reflectance (Ro) ranges from 1.80%–2.03%. The total coal reserves of the basin are 43.1 billion tons (Azizov et al. 2013). Nine mineable underground coal mines are shown in Fig. 6.
The Teniz-Korzhynkol basin occurs as a large brachy synclinal structure in the northern part of the Shydertyn megasyncline. It includes the four small syncline structures of Qosmurun, Qyzylsor, Bozshasor, and Saryadyr, formed as coal deposits and mined only by open-pit from the Saradyr coal deposit (Fig. 7).
Geological cross-section of the Teniz-Korzhinkol coal basin showing Carboniferous and Devonian sequences: 1. Upper Carboniferous (Vladimirov Formation); 2. Middle Carboniferous (Kirey Formation); 3. Middle-Lower Carboniferous (Karagandy coal Formation); 4. Lower Carboniferous Middle-Lower Visean (Ashlyar and Akkuduk coal Formations); 5. Upper Devonian (Famennian)-Lower Carboniferous (Tournaisian); 6. Middle Devonian; 7. Lower Devonian; 8. Cambrian; 9. Permian–Triassic magmatic intrusions; 10. Faults. 11. Coal seams; 12. A cross-sectional profile (modified after Ammosov et al. 1973a; Azizov et al. 2013). Coal deposits: I-Bozshasor; II- Saryadyr (currently coal mined); III- Qyzylsor and IV- Qosmurun
The Basin area is approximately 400 km2, with a width of 20 km east to west and a length of 20 km north to south. The coal basin hosts about 60–70 coal seams. The thickness of coal seams fluctuates from 1.5 m to 50 m, buried at a depth of up to 1800 m. Coal seams are found in the Lower Carboniferous formations of Karagandy, Ashlyar, and Akkuduk and occur within sedimentary rocks of grey to dark clay, marl, mudstone, sandstone, and siltstone. Cambrian and Devonian basements primarily originate in the northwest part of the basin. The primary sediments of the basements are limestone, shale, and marl, with a thickness of 200 m. Magmatic intrusions are mainly composed of granite-porphyry, found dikes, sills, and a deeply buried batholith in contact with highly metamorphosed coals. The coal seams usually have bituminous coal to anthracite (probably graphite), give high ash yields of 20%–45%, contain between 0.2%–1.8% sulfur, and have up to 10% moisture content. Total coal reserves in the basin are estimated to be about 2.6 billion tons (Ammosov et al. 1973a). Hence, this coal basin is a potential target for CO2 storage in deeper coal seams.
The Ekibastuz coal basin is restricted to the asymmetrical graben-syncline covering over 155 km2 with a width of 8.5 km and a length of 24 km, extending in the northwestern direction. It is bounded in the northeast and southeast by significant faults with amplitudes of 1000 m and 150 m, respectively, as shown in Fig. 8. The coal basin is stratified with a Devonian basement and volcanic shale deposits of mudstone and sandstone. The Lower Carboniferous sequence shows coal-bearing formations of Nadkaraganda, Karaganda, Ashlyar, and Akkuduk, deposited with dark grey mudstone, siltstone, and green, fine-grained sandstones and containing around 6 mineable coal seams and 15 unmineable coal seams. The coal seams range from 8–30 m in thickness, buried at a 530–680 m depth. The coal seams in the basin are mainly characterized from lignite to anthracite. Ash content of the coal seams ranges from 30% to 41%, while sulfur and moisture content range between 0.4% to 1% and up to 14.2%, respectively. The coal seams contain methane and nitrogen gases from 4–10 m3/t, with total coal reserves of the basin at around 9.7 billion tons (Ammosov et al. 1973a).
Geological cross-section of the Ekibastuz coal basin showing the Lower Carboniferous coal-bearing formations of 1. Nadkaragndy (C1 ndk), 2. Karagandy (C1 krg), and 3. Ashlyar (C1v1-2 as, Middle-Lower Visean); 4. Akkuduk; Devonian basements of 5. Middle Devonian, 1. Lower Devonian; 7. Faults; 8. Coal seams; 9. A cross-sectional profile (Modified after Azizov et al. 2013).
The Chu coal-bearing basin occurs as a brachy synclinal structure in the Chu-Sarysu Basin, which is the second-largest sedimentary basin in Kazakhstan (Fig. 9). The southwest and northeast boundaries of the sedimentary basin are marked by the parallel Karatau and Zhalair-Naiman faults, respectively (Box et al. 2012). The coal-bearing formations as a coal basin originated between the tectonic faults. Mesozoic sediments mainly cover the coal basin as a sand desert (a width of 15–30 km), forming the Moyinkum deflection. Significant four coal deposits of Kamkaly, Karakol, Alexandrovskoe, and Kasymtobe are included in the basin. Coal deposits in the basin were traced along the strike for 100 km. More productive coal formations in the Lower Carboniferous host about 13 coal seams. All coal seams in lens shapes reach a thickness from 0.3–2.5 m to 4.5 m to 15 m and are considered mineable. The basin has deep coal seams at a depth of 2500 m. The coal seams are mainly bituminous coal to anthracite coal types in the Lower Carboniferous Turnaisian and Visean formations (Fig. 9). Furthermore, these are interbedded with carbonate and terrigenous sediments of grey limestone breccias and marl, conglomerate, greenish-grey fine-grained sandstone, and siltstones. The coal seams usually yield a high ash content between 40%–46%, have up to 2.3% sulfur content, and contain moisture content up to 11.4%. Total coal reserves are 3.3 billion tons (Ammosov et al. 1973a; Azizov et al. 2013). Therefore, this coal basin is a potential target for CO2 storage in deep unmineable coal seams.
Geological cross-section of the Chu coal basin showing 1. Quaternary; 2. Eocene; 3. Middle-Upper Carboniferous; 4. Middle Carboniferous; 5. Lower Carboniferous; 6. Lower Carboniferous Middle-Upper Visean; 7. Lower Carboniferous Lower Visean and Turnaisian; 8. Upper Devonian; 9. Faults; 10. Coal seams; 11. Basin counter line; 12. A cross-sectional profile (Junussov and Mustapayeva 2024)
The paleogeographic evaluation of the four coal basins suggests that coal formation belongs to the Carboniferous age as per the literature of Ammosov et al., (1973a, b) and Azizov et al. (2013). According to the review of the paleogeographic evolution during the Carboniferous time in Kazakhstan, the most economical coal was deposited mainly in the Lower and Middle Carboniferous periods. The paleogeographic outline of the Lower and Middle Carboniferous, which inherited the characteristics of the deep marine basins in the western, southern, and eastern areas, developed in the northern region, extending between the northern and the central-southern upland. Extensive low-relief carbonate shelves were typical for central areas. On the Kazakhstan continent, behind the volcanic belt, large marsh-lacustrine systems accumulated thick coal beds of Karagandy, Ekibastuz, Tenyz-Korzhynkol, and Chu (Daukeev et al. 2002), as shown in Fig. 10. The Carboniferous period was the time for the climatic transition. The Lower Carboniferous generally had a more humid climate, which was more favorable for coal occurrence.
Paleogeographic evaluation of Kazakhstan showing the Lower Carboniferous (modified after (Korobkin and Buslov 2011))
In contrast, the Upper Carboniferous had a warming trend and generally became drier, unfavorable for coal deposits (Rowley et al. 1985). In the late Lower Carboniferous, the oceanic crust resumed subduction on all the margins of Kazakhstan. This resulted in forming the Valer’yanovka island arc and the Balkhash–Ile volcanic-plutonic belt, intense volcanic-arc activity, and the closure of some interarc basins. Vast lake bog plains with abundant coal accumulation existed at the back of the volcanic belt in Kazakhstan, occurring thick coal measures. A single marine shelf basin with terrigenous–carbonate sedimentation existed in most of Kazakhstan (Korobkin and Buslov 2011).
The required data has been collected from previous literature (Ammosov et al. 1973a, 1973b; Azizov et al. 2013). Information on four carboniferous coal deposits was shown in Table 5.
S.N | Coal basins | Dmax (m) | AT (km2) | Tc (m) | N | Tr (Bt) | A | M | C |
---|---|---|---|---|---|---|---|---|---|
1 | Karagandy | 1800 | 3600 | 80–100 | 65–80 | 43.1 | 20–30 | 3–7 | 84–93 |
2 | Teniz-Korzhinkol | 1800 | 400 | 1.5–50 | 60–70 | 2.6 | 40–45 | 3–12 | 78–91 |
3 | Ekibustuz | 680 | 155 | 8–30 | 6–15 | 9.7 | 30–41 | 8–14.2 | 84–89 |
4 | Chu | 2150 | 240 | 0.3–15 | 13 | 3.3 | 40–46 | 0.7–1.6 | 84–92 |
It may be noted from Table 5, that due to the unavailability of data on Kazakhstan coalfields and for the sake of brevity, only average values have been considered. The CO2 storage capacity of the coal seam (S, Mt) was generally found using the formula proposed by the U.S. Department of Energy (Goodman et al. 2011):
where Ac is the area of the coal seam (km2), Tc is the thickness of the coal seam (m),
The area of the coal seam (Ac) may be found using the below-mentioned formula or Eq. (3):
In this equation, the coal seam is assumed to be a tabular shape. Therefore, a new formula was proposed and used in this paper for calculating the CO2 storage capacity (St) of a particular coal seam, as shown in Eq. (4). The methodology adapted by US DOE for the volumetric calculation of CO2 storage in unmineable coal seams was slightly modified. Instead of area, thickness, and density of the coal seam, coal reserve and number of coal seams was used. Simple geometry was applied and a formula for CO2 storage in tabular coal seams was developed. This value was doubled since CO2 has around 2 times more adsorption capacity than CH4 in coal (Mohammad et al. 2012; Zhang et al. 2014). The formula given by the U.S. Department of Energy was slightly modified as:
The Langmuir volume constant was also used in this formula which was a modified version of the Langmuir volume correlation given by Mohanty et al. (Mohanty et al. 2018). In this research paper, authors have developed a statistical correlation between the chemical composition of 39 coal samples with their respective Langmuir volume constants of methane. This value was doubled since CO2 has around 2 times more adsorption capacity than CH4 in coal (Mohammad et al. 2012; Zhang et al. 2014). The formula for calculating the Langmuir volume constant for CO2 has been shown in Eq. (5):
It is worth mentioning that adsorption capacity is a function of temperature and pressure which was already considered for the experimentation of adsorption capacity of methane (Mohanty et al. 2018). The Langmuir constant of CH4 was utilized in this paper for finding the storage capacity of coal concerning CO2.
The real gas equation has been used to calculate the variable density (Fan et al. 2023):
where P is pressure, M is molecular mass, Z is compressibility, R is gas constant and T is temperature.
In Eq. (6), the following relations, and values have been taken (Lu et al. 2021):
where D is depth in meters, P is in MPa and T is in ℃
The values of M, Z, and R have been taken as 44.01, 0.449, and 8.314 J/mol.K respectively. Using Eq. (6), (7), and (8), the density of CO2 was derived as (Lu et al. 2021):
It may be noted that this formula has been derived for supercritical CO2 of compressibility 0.499 (Lu et al. 2021). However, this formula may be used for the Ekibustuz coal field in which the known depth of unmineable coal seams does not reveal the supercritical condition of CO2. In contrast, the depth at which supercritical conditions are met is highly variable and mainly contingent on depth, surface temperature, hydrostatics, and the geothermal gradient of the reservoir (Perera et al. 2011; Zhao et al. 2022). The basin temperature (T) and hydrostatic pressure (Phyd) were defined in Eq. (10) and Eq. (11) respectively:
From Eq. (10) and Eq. (11), the basin pressure may be defined as:
where Ts, G, and g are the surface temperature, geothermal gradient, the density of water, and gravitational constant (9.8 m/s2) respectively. The basin pressure was similar to hydrostatic pressure in sedimentary basins such as coal and the geothermal gradient varies from 20 ℃/km to 60 ℃/km (Kolawole and Evenick 2023). However, due to the insufficiency of data on the Kazakhstani carboniferous coal basins, the average and common geothermal gradient of 27 ℃/km was presumed (Abuov et al. 2020). It must be noted that different compressibility has been already used for the calculation of the Langmuir volume based on pressure and temperature that was used in the proposed formula for computing the CO2 storage capacity of coal seams.
The adsorption capacity of coal concerning CO2 may be experimentally calculated using several methods e.g., Langmuir equation, Toth equation, UNILAN equation, Dubinin–Astakhov (D–A) and Dubinin–Radushkovich (D–R) equations, 2D equations of state, D–R equation and other methods (De Silva et al. 2012). However, one formula table as Table 6 was given for calculating the CO2 storage capacity of coal seams.
The CO2 storage capacity for the coal seams was found for these coalfields using the proposed formula in this paper. The ideal depth of coal seams for CO2 storage is roughly 800 m for reasons stated earlier. Table 7 shows the CO2 storage capacity for the carboniferous coal basins with
S.N | Coal basins |
|
| St (Bt) |
---|---|---|---|---|
1 | Karagandy | 0.74 | 98.90 | 24.60 |
2 | Teniz-Korzhinkol | 0.74 | 36.42 | 0.61 |
3 | Ekibustuz | 0.62 | 45.09 | 14.02 |
4 | Chu | 0.77 | 48.44 | 5.42 |
The Karagandy coal basins show the highest CO2 storage capacity among Kazakhstan's three major coal basins that satisfy the 800 m depth criterion. Karagandy coal basin shows excellent adsorption capacity for CO2 (
The Teniz-Korzhinkol coal basin shows the lowest value for CO2 storage, as this coal has high ash and moisture content. Thus, the adsorption capacity of CO2 towards coal was reduced, and further storage amount in coalfield was substantially diminished. Furthermore, the low coal reserve was also the reason for the lowest storage capacity for CO2.
CO2-ECBM recovery aligns with two major sustainable development goals (SDG) of the United Nations i.e., goals 7 and 13. Goal No. 7 states that by 2030 it is recommended to provide affordable, clean, and modern energy to every household. Furthermore, goal No. 13 sheds light on the urgent action to be taken to combat climate change and its impact. CO2 sequestration in unmineable coal seams is vital to climate action, and coalbed methane provides lower carbon content energy needs. Based on the current study, the following conclusions may be drawn:
The detailed geological review of the coal basins reveals that all significant coal types are present in the studied basins: lignite, sub-bituminous, and anthracite coal.
The unmineable coal seams lying below 800 m of three carboniferous coal may be employed for CO2 storage to reduce the emission of anthropogenic CO2 from Kazakhstan.
The unmineable coal seams of Karagandy coalfields are ideal for CO2 storage based on the limited available data on Kazakhstani coalfields. Furthermore, this coalfield shows good potential for CO2-ECBM recovery.
The proposed formula for CO2 storage in coalfields may be utilized for tabular coal seams; however, it may extend to any other seam if the correct area of the seam is known.
This paper provides an essential and initial assessment of the CO2 storage capacity of coal seams of Kazakhstani carboniferous coalfields. However, the same analogy may be used in Kazakhstan's remaining five Jurassic coalfields. Nevertheless, detailed experimental investigations of various parameters, e.g., vitrinite reflectance, proximate, and ultimate analysis, are warranted and significant for quantifying the rank and maturity of coal. The accurate measurement of the CO2 adsorption capacity of coal using the high-pressure adsorption isotherm will give more insight into the CBM and ECBM recovery from the coalfields and the competitive adsorption process. One of the future works of this crucial study on carboniferous coal formations includes studying the fundamental properties of caprock.
Notably, this is the first study on CO2 storage potential and a detailed geological review of the coal basins in the post-Soviet territory of Kazakhstan.
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13 October 2023
09 March 2024
06 January 2025
November -0001
https://doi.org/10.1007/s40789-025-00750-z