Table 1 - uploaded by Irem Firtina Ertis
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Contexts in source publication
Context 1
... to the number of wells some areas were considered to choose the best option for CO2 storage capacity (as seen in Table 1). The number of wells gives information about possible storage zones and capacity of geological reservoirs which is related with criteria 1 (C1). ...
Context 2
... CO2 into petroleum reservoirs is a better option to use in enhanced oil recovery. Therefore, in this study, four areas were determined as potential storage zones as seen in Table 1. In this project, three closest plants were also considered for every storage zone. ...
Context 3
... to TOPSIS, best alternative should be closest to PIS, and farthest from the NIS [24] The PIS and NIS that are developed based on the previous steps are shown in Table 8. The positive ideal solution (PIS) set and the negative ideal solution (NIS) set that are developed based on the previous steps of the TOPSIS algorithm are shown in Table 9. Next, the deviations of each decision point from the ideal and negative ideal solutions are computed via using Euclidian Distance Approach; and the relative proximity of each decision alternative to the ideal solution ( Table 10. The ranking of alternatives obtained from fuzzy TOPSIS is A2> A1 > A3 > A4. ...
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Citations
... A method using fuzzy logic was also developed to type carbon storage sites [99]. Another method, categorized as a multicriteria decision-making method, TOPSIS, was used to assess suitable locations for CO 2 storage sites based on the example of Turkey [100]. ...
Energy, gases, and solids in underground sites are stored in mining excavations, natural caverns, salt caverns, and in the pore spaces of rock formations. Aquifer formations are mainly isolated aquifers with significant spreading, permeability, and thickness, possessing highly mineralized non-potable waters. This study discusses the most important aspects that determine the storage of natural gas, hydrogen, or carbon dioxide in deep aquifers. In particular, the selection and characterization of the structure chosen for underground storage, the storage capacity, and the safety of the process are considered. The choice of underground sites is made on the basis of the following factors and criteria: geological, technical, economic, environmental, social, political, or administrative–legal. The geological and dynamic model of the storage site is then drawn based on the characteristics of the structure. Another important factor in choosing a structure for the storage of natural gas, hydrogen, or carbon dioxide is its capacity. In addition to the type and dimensions of the structure and the petrophysical parameters of the reservoir rock, the storage capacity is influenced by the properties of the stored gases and the operating parameters of the storage facility. Underground gas storage is a process fraught with natural and technical hazards. Therefore, the geological integrity of the structure under consideration should be documented and verified. This article also presents an analysis of the location and the basic parameters of gas storage and carbon dioxide storage facilities currently operating in underground aquifers. To date, there have been no successful attempts to store hydrogen under analogous conditions. This is mainly due to the parameters of this gas, which are associated with high requirements for its storage.
... As CO 2 emission is increasing so, carbon capture and storage (CCS) technologies are the better solutions to storage CO 2 . Locating a best location for CO 2 storage is one of the critical problems, which is solved by the use of TOPSIS, a multicriteria decision making (MCDM) tool in the study conducted in Turkey [28]. ...
The fast industrial revolution all over the world has increased emission of carbon dioxide (CO2), which has badly affected the atmosphere. Main sources of CO2 emission include vehicles and factories, which use oil, gas, and coal. Similarly, due to the increased mobility of automobiles, CO2 emission increases day-by-day. Roughly, 40% of the world’s total CO2 emission is due to the use of personal cars on busy and congested roads, which burn more fuel. In addition to this, the unavailability of parking in all parts of the cities and the use of conventional methods for searching parking areas have added more to this problem. To solve the problem of reducing CO2 emission, a novel cloud-based smart parking methodology is proposed. This methodology enables drivers to automatically search for nearest parking(s) and recommend the most preferred ones that have empty lots. For determining preferences, the methodology uses the analytical hierarchy process (AHP) of multicriteria decision-making methods. For aggregating the decisions, the weighted sum model (WSM) is adopted. The methods of sorting, multilevel multifeatures filtering, exploratory data analysis (EDA), and weighted sum model (WSM) are used for ranking parking areas and recommending top-k parking to the drivers for parking their cars. To implement the methodology, a scenario comprising cars, smart parkings are considered. To use EDA, a freely available dataset “2020testcar-2020-03-03” is used for the estimation of CO2 emitted by cars. For evaluation purpose, the results obtained are compared with the results of traditional approach. The comparison results show that the proposed methodology outperforms the traditional approach.
... Many researchers have addressed the problem of choosing the most appropriate geological formation for CO 2 geological storage by a conventional engineering approach, (Grataluou, Bonijoly, and Brosse et al. 2009;He, Shen, and Liao et al. 2015;Kissinger et al. 2014;Li-ping, Ping-ping, and Xin-wei et al. 2015;Ramirez et al. 2009) but few studies have applied multicriteria decision-making methods (Deveci et al. 2015;Ertis 2018;Hsu and Chen 2012;Llamas and Cienfuegos 2012;Llamas et al. 2014). Besides that, previous studies have not involved comparative analysis of the two multicriteria decision methods TOPSIS and VIKOR. ...
... Llamas et al. (2014) applied the MCDM algorithm for a selection of the most effective technologies to monitor CO 2 storage sites. Ertis (2018) analyzed the most appropriate location for geological CO 2 storage in Turkey by using the Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) method. Deveci et al. (2015) analyzed the best location for CO 2 storage in Turkey using a fuzzy-based multicriteria approach. ...
One of the current prospective solutions that can contribute to significant carbon dioxide emission mitigation is carbon capture and storage in geological formations. The most challenging issue in underground storage is the provision of safe and long-term storage without possible carbon dioxide leakage. From the safety point of view, it is considered that the most appropriate geological formations for carbon dioxide storage are depleted hydrocarbon reservoirs or partially depleted oil reservoirs, where injection of carbon dioxide enhances oil recovery.
This paper proposes a multicriteria decision-making model for preliminary selection of an oil reservoir in Serbia for carbon dioxide injection and storage. Applied multicriteria decision-making methods are ”Technique of order preference similarity to the ideal solution” (TOPSIS) and ”Multicriteria optimization and compromise solution” (VIKOR). In the analyzed multicriteria decision model three alternative oil reservoirs and seven criteria are considered. The evaluation and decision-making process presented in the study includes a selection of the geological formations for storing carbon dioxide and enhancing oil recovery, choosing the criteria and alternatives, the initial decision-making matrix development, weight criteria determination by entropy method, application of multicriteria decision-making methods for ranking alternatives, and comparison of applied methods results.
The results of this study show that the same results are obtained by applying these two methods, i.e., oil reservoir A3 is the most appropriate candidate for application of carbon dioxide injection and geological storage.
Various systems are increasing gradually to reduce environmental concerns carbon capture, use, and storage (CCUS) systems are one of the most preferred processes in this context. Special areas such as depleted oil and gas reservoirs, aquifer reservoirs, and salt cave reservoirs are required needed to use this technology and, considering various criteria to decide on these areas is necessary. In this study, the problem of choosing the most suitable CCUS site selection for Turkey is discussed. In the study, for the alternative areas (Adıyaman, Aksaray, Diyarbakır, Afyon, and Tekirdağ) determined, 11 sub-assessment criteria (cost, CO2 state, regional risk, infrastructure availability, reservoir permeability, storage capacity, thickness reservoir, porosity, transportation availability, sustainability, facilities in operation by application) were discussed under CCUS main criterias (carbon capture, carbon storage, and carbon use). The DEMATEL method was used for the weights of the evaluation criteria. Unweighted gray relational analysis (GRA) method and DEMATEL-based GRA method were used to rank the alternatives. According to unweighted GRA results, Aksaray, Adıyaman, Afyon, Tekirdağ, and Diyarbakır decisions are obtained, respectively. According to the weighted GRA results, Aksaray, Adıyaman, Tekirdağ, Afyon, and Diyarbakır decisions are obtained, respectively. Calculation results demonstrated that Aksaray region is the most suitable alternative CCUS area for both methods. The CO amount values for the next period were estimated for this area and evaluated with the auto-regressive integrated moving average (ARIMA) method by the Minitab. By considering 1013 days of CO data, according to the MA(1) model estimation results were obtained values between 410.899 (μg/m³) and 459.909 (μg/m³). With the installation of the CCUS facility, this value could be checked again by examining it. The use of real data in the study increases the effectiveness of the proposed approach.
Anthropogenically-driven climate change is a global problem explained by the intensification of the greenhouse effect due to the increase in greenhouse gas emissions, including carbon dioxide (CO2). One approach to reducing the emission of CO2 to the atmosphere is the capture of CO2 from its emitting source, its transport, and its geological storage (CCS). However, there are few cases reported in the western region of South America. Thus, the objective of the research is to establish potential areas for the geological storage of CO2 in Peru. The study includes the review and analysis of available information using multi-criteria analysis tools. Thirteen hydrocarbon reservoirs were selected as potential storage sites. Using the order of preference technique for similarity to the ideal solution (TOPSIS), the selected sites were rated and ranked using nineteen geological, social, environmental, and economic criteria. The criteria and their weights were obtained from previous studies and validated in a participatory workshop. Finally, the public acceptance of CCS projects is analyzed through a case study in one of the selected sites with a focus group with local actors and a population survey. It is concluded that the people's attitude in the areas near the prioritized sites is favorable as long as biodiversity and the economic conditions are not at risk.
