Surface Diffusion in Nanopores and Its Effects on Total Mass Transport in Shale Gas Reservoirs
Ekrem Alagoz,
Muhammed Said Ergul
Issue:
Volume 8, Issue 4, July 2023
Pages:
73-78
Received:
6 July 2023
Accepted:
26 July 2023
Published:
5 August 2023
Abstract: In the 21st century, shale gas reservoirs have emerged as a significant and valuable source of natural gas. However, their distinct characteristics, particularly the nanoscale pore throat and pore-size distribution, set them apart from conventional reservoirs. These unique features have a profound impact on the storage and flow behavior of hydrocarbons within the shale, making them challenging to exploit using conventional methods. One of the primary challenges associated with shale gas reservoirs is the confined space phase behavior, which alters the fluid properties compared to what is typically observed in a standard PVT (Pressure-Volume-Temperature) cell. In particular, the increased surface adsorption of gas molecules in the shale leads to deviations in fluid properties. This means that the properties of gas within the shale differ from those predicted by conventional models, making it crucial to understand and account for these differences to efficiently extract gas from these reservoirs. Surface diffusion is a critical parameter in assessing the transport ability of adsorbed gas in shale organic matter. Surface diffusion refers to the movement of gas molecules along the surfaces of organic matter in the shale. It is a complex process influenced by various factors. Recent research has provided some insights, indicating that the shale-methane surface diffusion coefficient has a value of around 10-16 cm2/g. However, accurately measuring this coefficient remains a challenge, and there is a need for a definitive and reliable method to do so. Despite the importance of surface diffusion, it has been found that its contribution to total mass transport in shale gas reservoirs is not as significant as previously anticipated. Other mechanisms, such as desorption and matrix diffusion, also play essential roles in the overall transport of gas within shale. To improve our understanding of shale gas reservoirs and optimize gas extraction, this paper proposes an interdisciplinary approach. It suggests combining insights and advances from different industries and fields of research to gain a comprehensive understanding of these complex reservoirs. By bringing together knowledge from geology, engineering, chemistry, and other relevant disciplines, researchers can develop more accurate models and strategies to unlock the full potential of shale gas reservoirs. In summary, shale gas reservoirs have revolutionized the natural gas industry in the 21st century, but their unique characteristics require a specialized approach. Surface diffusion is an important factor affecting gas transport in shale, but its contribution is not as significant as initially thought. Through interdisciplinary research, we can enhance our understanding of these reservoirs and develop more efficient methods for gas extraction.
Abstract: In the 21st century, shale gas reservoirs have emerged as a significant and valuable source of natural gas. However, their distinct characteristics, particularly the nanoscale pore throat and pore-size distribution, set them apart from conventional reservoirs. These unique features have a profound impact on the storage and flow behavior of hydrocar...
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A Study on Intelligent Space Sterilization System Using UV
Chang-shin Lee,
Ji-won Kim,
Jeong-ja Bae
Issue:
Volume 8, Issue 4, July 2023
Pages:
79-87
Received:
5 July 2023
Accepted:
2 August 2023
Published:
5 August 2023
Abstract: There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization
Abstract: There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an...
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