Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012014
Ming Ding, Runping Ma
Abstract In view of the long training time for the optimization of the network model parameters of the SELM and the uncertainty of the model generalization ability, this paper proposes an analog circuit fault diagnosis model based on the sailfish algorithm to optimize the stacked kernel extreme learning machine(SKELM). This model introduces a kernel function to build a multi-layer KELM, which can improve the generalization ability and learning speed of the feedforward neural network. The weights of each layer of SKELM are obtained through the automatic encoder training based on the KELM. Since KELM-AE does not need to set initial parameters, the training speed is improved. However, the kernel parameters and regularization coefficients of KELM-AE are set manually, so the sailfish optimizer (SFO) is used to optimize these two parameters, and then the optimal SKELM model is built through layer by layer training. Finally, the Leap frog filter circuit is used as the simulation experiment circuit, and further compared with the optimized SELM. The results show that KELM-AE has strong generalization ability, and it can map fault features to high-dimensional feature space through nonlinear mapping without extracting fault features separately, thus improving the classification accuracy.
{"title":"Fault Diagnosis of Analog Circuits Based on The Sailfish Algorithm Optimized SKELM","authors":"Ming Ding, Runping Ma","doi":"10.1088/1742-6596/2632/1/012014","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012014","url":null,"abstract":"Abstract In view of the long training time for the optimization of the network model parameters of the SELM and the uncertainty of the model generalization ability, this paper proposes an analog circuit fault diagnosis model based on the sailfish algorithm to optimize the stacked kernel extreme learning machine(SKELM). This model introduces a kernel function to build a multi-layer KELM, which can improve the generalization ability and learning speed of the feedforward neural network. The weights of each layer of SKELM are obtained through the automatic encoder training based on the KELM. Since KELM-AE does not need to set initial parameters, the training speed is improved. However, the kernel parameters and regularization coefficients of KELM-AE are set manually, so the sailfish optimizer (SFO) is used to optimize these two parameters, and then the optimal SKELM model is built through layer by layer training. Finally, the Leap frog filter circuit is used as the simulation experiment circuit, and further compared with the optimized SELM. The results show that KELM-AE has strong generalization ability, and it can map fault features to high-dimensional feature space through nonlinear mapping without extracting fault features separately, thus improving the classification accuracy.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135715695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012001
Xiaoshu Wang, Wei Bai, Kaibei Peng
Abstract It is a significant concern that there is a risk of passenger intrusions at station platform ends. Current detection uses video triggered by single-line radar, but it is ineffective for accurate identification. In this paper, we address this issue by first analyzing the characteristics of intruders at the ends of train platforms. We propose a two-stage filtering-recognition method to achieve intruder detection based on single-line radar point cloud data. In the first stage, we smooth initial point cloud data using a double-chain exponential weighted moving average filter by grouping points. In the second stage, we extract features using the background subtraction method and a critical threshold of point numbers to detect intruder targets. Experimental results demonstrate that this method is effectively capable of detecting intruders at different distances.
{"title":"The algorithm for Detecting Intruders at Station Platform Ends Based on Single-line Radar Point Clouds","authors":"Xiaoshu Wang, Wei Bai, Kaibei Peng","doi":"10.1088/1742-6596/2632/1/012001","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012001","url":null,"abstract":"Abstract It is a significant concern that there is a risk of passenger intrusions at station platform ends. Current detection uses video triggered by single-line radar, but it is ineffective for accurate identification. In this paper, we address this issue by first analyzing the characteristics of intruders at the ends of train platforms. We propose a two-stage filtering-recognition method to achieve intruder detection based on single-line radar point cloud data. In the first stage, we smooth initial point cloud data using a double-chain exponential weighted moving average filter by grouping points. In the second stage, we extract features using the background subtraction method and a critical threshold of point numbers to detect intruder targets. Experimental results demonstrate that this method is effectively capable of detecting intruders at different distances.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"87 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012023
Xiangfan Cai, Dan Wang
Abstract The phenomenon of elderly people living alone was becoming increasingly common in the new era, so the demand for monitoring the living environment of elderly people living alone was becoming increasingly strong. The design of home environment monitoring for elderly people living alone was designed based on a cloud platform. The system mainly consists of an STM32 main control module, a temperature and humidity detection module, an Internet of Things module, a security module, a relay control module, and a user App terminal. Then the fuzzy PID algorithm was designed to remotely control indoor temperature and humidity. After practical operation verification, the system can perform local and remote monitoring of the living environment of elderly people living alone and has the characteristics of reliability and stability.
{"title":"Design of Home Environment Monitoring System Based on a Cloud Platform for the Elderly Living Alone","authors":"Xiangfan Cai, Dan Wang","doi":"10.1088/1742-6596/2632/1/012023","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012023","url":null,"abstract":"Abstract The phenomenon of elderly people living alone was becoming increasingly common in the new era, so the demand for monitoring the living environment of elderly people living alone was becoming increasingly strong. The design of home environment monitoring for elderly people living alone was designed based on a cloud platform. The system mainly consists of an STM32 main control module, a temperature and humidity detection module, an Internet of Things module, a security module, a relay control module, and a user App terminal. Then the fuzzy PID algorithm was designed to remotely control indoor temperature and humidity. After practical operation verification, the system can perform local and remote monitoring of the living environment of elderly people living alone and has the characteristics of reliability and stability.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"92 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012012
Junjie Bao, Shihua Li, Guanglong Wang, Jianmin Xiong, Sailai Li
Abstract This paper proposes a research method to enhance the accuracy and real-time capability of helmet detection in complex industrial environments, aiming to address the engineering challenges of poor robustness and significant occurrences of both false positives and false negatives in existing detection methods. In this study, the C2F (faster version of CSP Bottleneck with two convolutions) module and FE (FasterNet with EMA) module are integrated into the network architecture of YOLOV8 to form a new attention mechanism module called C2F-FE. This module enhances the model’s perception of safety helmet targets by fusing feature information from different levels and incorporating attention mechanisms while reducing computational overhead. Furthermore, the model is trained and optimized on publicly available safety helmet datasets. Experimental results demonstrate that the improved model exhibits stronger robustness, achieving an accuracy rate of 94.6% and a mAP50 of 99.1% for safety helmet detection in complex construction scenarios, with an inference time of 0.7 ms.
针对现有检测方法鲁棒性差、假阳性和假阴性现象严重的工程难题，提出了一种提高复杂工业环境下头盔检测精度和实时性的研究方法。本研究将C2F (faster version of CSP Bottleneck with two convolutions)模块和FE (FasterNet with EMA)模块集成到YOLOV8的网络架构中，形成新的注意机制模块C2F-FE。该模块通过融合不同层次的特征信息，结合注意机制，增强了模型对安全帽目标的感知能力，同时减少了计算开销。此外，该模型在公开可用的安全帽数据集上进行训练和优化。实验结果表明，改进后的模型具有更强的鲁棒性，在复杂施工场景下的安全帽检测准确率为94.6%，mAP50为99.1%，推理时间为0.7 ms。
{"title":"Improved YOLOV8 Network and Application in Safety Helmet Detection","authors":"Junjie Bao, Shihua Li, Guanglong Wang, Jianmin Xiong, Sailai Li","doi":"10.1088/1742-6596/2632/1/012012","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012012","url":null,"abstract":"Abstract This paper proposes a research method to enhance the accuracy and real-time capability of helmet detection in complex industrial environments, aiming to address the engineering challenges of poor robustness and significant occurrences of both false positives and false negatives in existing detection methods. In this study, the C2F (faster version of CSP Bottleneck with two convolutions) module and FE (FasterNet with EMA) module are integrated into the network architecture of YOLOV8 to form a new attention mechanism module called C2F-FE. This module enhances the model’s perception of safety helmet targets by fusing feature information from different levels and incorporating attention mechanisms while reducing computational overhead. Furthermore, the model is trained and optimized on publicly available safety helmet datasets. Experimental results demonstrate that the improved model exhibits stronger robustness, achieving an accuracy rate of 94.6% and a mAP50 of 99.1% for safety helmet detection in complex construction scenarios, with an inference time of 0.7 ms.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"90 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In order to effectively suppress the higher harmonics contained in the output voltage of high-power electromagnetic transmitter, the waveform expression of the output voltage of bipolar pulse width modulation (SPWM) circuit is derived, which can accurately obtain the fundamental wave and each harmonic content in the inverter bridge transmission voltage, and provide a theoretical basis for the design of output filter. At the same time, a design method of output LC filter based on high power electromagnetic transmitter is proposed based on MATLAB simulation calculation and considering the fundamental voltage drop, inductor current ripple and reactive power capacity on the filter inductor. Finally, the feasibility of this design method is verified by the field experiment of transmitter, and the output filtering effect is good.
{"title":"Harmonic analysis and filter design based on high power electromagnetic transmitter","authors":"Qingke Meng, Yiming Zhang, Xuhong Wang, Junxia Gao","doi":"10.1088/1742-6596/2636/1/012038","DOIUrl":"https://doi.org/10.1088/1742-6596/2636/1/012038","url":null,"abstract":"Abstract In order to effectively suppress the higher harmonics contained in the output voltage of high-power electromagnetic transmitter, the waveform expression of the output voltage of bipolar pulse width modulation (SPWM) circuit is derived, which can accurately obtain the fundamental wave and each harmonic content in the inverter bridge transmission voltage, and provide a theoretical basis for the design of output filter. At the same time, a design method of output LC filter based on high power electromagnetic transmitter is proposed based on MATLAB simulation calculation and considering the fundamental voltage drop, inductor current ripple and reactive power capacity on the filter inductor. Finally, the feasibility of this design method is verified by the field experiment of transmitter, and the output filtering effect is good.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2623/1/012036
Z S Maulana, M F R Rizaldi, M A Bustomi
Abstract Two methods can be used to solve the problem of electric potential distribution in a rectangular pipe: numerical and analytical. The analytical solution is obtained using the Laplace equation and the given boundary conditions to complete the solution in the form of a linear combination of sinusoidal and hyperbolic functions. While the numerical solution is obtained using the finite difference method in the Python programming language. The comparison between the analytical and numerical solutions shows that the two have a good fit. This can be seen from the graph of the electric potential distribution in the rectangular pipe produced by the two methods. Numerical solutions obtained using the finite difference method in the Python programming language provide accurate and efficient results in solving the problem of the electric potential distribution in rectangular pipes. The use of the first four terms in the analytical method and the selection of 4 observation points on the pipe, namely points A (3.33, 1.67), B (3.33, 3.34), C (6.67, 1.67), and D (6.67, 3.34) produces a difference in the electric potential value between analytical and numerical methods each point is 35.91%, 51.96%, 51.96%, and 35.91%. The value difference between analytical and numerical methods will be smaller if more terms are taken in the analytical calculation, and more observation points are considered on the pipe.
{"title":"The Results Comparison of Numerical and Analytical Methods for Electric Potential on Rectangular Pipes","authors":"Z S Maulana, M F R Rizaldi, M A Bustomi","doi":"10.1088/1742-6596/2623/1/012036","DOIUrl":"https://doi.org/10.1088/1742-6596/2623/1/012036","url":null,"abstract":"Abstract Two methods can be used to solve the problem of electric potential distribution in a rectangular pipe: numerical and analytical. The analytical solution is obtained using the Laplace equation and the given boundary conditions to complete the solution in the form of a linear combination of sinusoidal and hyperbolic functions. While the numerical solution is obtained using the finite difference method in the Python programming language. The comparison between the analytical and numerical solutions shows that the two have a good fit. This can be seen from the graph of the electric potential distribution in the rectangular pipe produced by the two methods. Numerical solutions obtained using the finite difference method in the Python programming language provide accurate and efficient results in solving the problem of the electric potential distribution in rectangular pipes. The use of the first four terms in the analytical method and the selection of 4 observation points on the pipe, namely points A (3.33, 1.67), B (3.33, 3.34), C (6.67, 1.67), and D (6.67, 3.34) produces a difference in the electric potential value between analytical and numerical methods each point is 35.91%, 51.96%, 51.96%, and 35.91%. The value difference between analytical and numerical methods will be smaller if more terms are taken in the analytical calculation, and more observation points are considered on the pipe.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"28 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2623/1/012018
None Katsirotin, V Rahayu
Abstract Cellular developments encourage the integration of both 4G, Wi-Fi, and 5G network technologies into one device; an antenna is a tool that can be used to support the integration of these networks. A microstrip antenna is an antenna that is small, light, thin, easy to fabricate, and can be used in long ranges. In this paper, a microstrip antenna is designed on a printed circuit board (PCB) with a permittivity of 4.3 and a thickness of 1.6 mm. This research aims to design a microstrip antenna that is capable of working on 4G (2.3 GHz), Wi-Fi (2.4 GHz), and 5G 3.5 GHZ) frequencies in one antenna. The microstrip antenna is designed on a Printed Circuit Board (PCB) with a permittivity of 4.3 and a thickness of 1.6 mm, rectangular shaped patches, and each patch is connected using a bridging method. Next, the antenna is simulated using CST Suite 2021 software. Simulation results at frequencies of 2.3 GHz, 2.4 GHz, and 3.5 GHz produce return losses of -23.70, -22.87, and -20.60, VSWR values of 1, respectively. .13, 1.15, and 1.20, the bandwidth values are 6.27%, 3.84%, and 5.84%, respectively, and the gain values are 4.69 dBi, 8.53 dBi, and 3.49 dBi.
{"title":"Design of Multi-band Microstrip Antenna with Rectangular Patch for 2.3 GHz, 2.4 GHz, and 3.5 GHz Frequencies","authors":"None Katsirotin, V Rahayu","doi":"10.1088/1742-6596/2623/1/012018","DOIUrl":"https://doi.org/10.1088/1742-6596/2623/1/012018","url":null,"abstract":"Abstract Cellular developments encourage the integration of both 4G, Wi-Fi, and 5G network technologies into one device; an antenna is a tool that can be used to support the integration of these networks. A microstrip antenna is an antenna that is small, light, thin, easy to fabricate, and can be used in long ranges. In this paper, a microstrip antenna is designed on a printed circuit board (PCB) with a permittivity of 4.3 and a thickness of 1.6 mm. This research aims to design a microstrip antenna that is capable of working on 4G (2.3 GHz), Wi-Fi (2.4 GHz), and 5G 3.5 GHZ) frequencies in one antenna. The microstrip antenna is designed on a Printed Circuit Board (PCB) with a permittivity of 4.3 and a thickness of 1.6 mm, rectangular shaped patches, and each patch is connected using a bridging method. Next, the antenna is simulated using CST Suite 2021 software. Simulation results at frequencies of 2.3 GHz, 2.4 GHz, and 3.5 GHz produce return losses of -23.70, -22.87, and -20.60, VSWR values of 1, respectively. .13, 1.15, and 1.20, the bandwidth values are 6.27%, 3.84%, and 5.84%, respectively, and the gain values are 4.69 dBi, 8.53 dBi, and 3.49 dBi.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"29 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2623/1/012024
T Prastowo, None Madlazim, A Realita, M N Fahmi
Abstract Earth Physics Research Group (EPRG) is one of three groups of research running at Physics Study Program, the State University of Surabaya, Indonesia, where a number of research projects with corresponding topics have been conducted (and some are in progress) by the group members and associated students having final projects in the field of earth physics since 2018. Whereas the research roadmap of the group has been presented in association with definitive research projects for 25 years long starting from 2011, the specific goal of this paper is to shortly summarise all academic achievement in terms of research performance made by the group members during the last five years. The majority of the recent works was mainly based on computational work, where some were completed in collaboration with researchers from other universities and a national agency and others were performed by the group members and selected students. The topics were spread across disciplines in earth physics that included tectonic earthquakes, tsunami generation and propagation of seismic and non-seismic origin, volcanic eruptions and an integrated disaster mitigation study. A small portion of the projects were performed using a chosen method of applied geophysics. These studies have ended up with publications in recent years, where the saline points of the key findings are here presented. Future studies focusing on vulnerability to earthquake hazards in the northern areas of Java and on volcanic and meteo-tsunamis are also discussed in the context of possible tsunamis induced by seismic sources or volcanic processes.
{"title":"Continual Advance in Earth Physics Research Group at Physics Study Program, Unesa: What’s new and the next step","authors":"T Prastowo, None Madlazim, A Realita, M N Fahmi","doi":"10.1088/1742-6596/2623/1/012024","DOIUrl":"https://doi.org/10.1088/1742-6596/2623/1/012024","url":null,"abstract":"Abstract Earth Physics Research Group (EPRG) is one of three groups of research running at Physics Study Program, the State University of Surabaya, Indonesia, where a number of research projects with corresponding topics have been conducted (and some are in progress) by the group members and associated students having final projects in the field of earth physics since 2018. Whereas the research roadmap of the group has been presented in association with definitive research projects for 25 years long starting from 2011, the specific goal of this paper is to shortly summarise all academic achievement in terms of research performance made by the group members during the last five years. The majority of the recent works was mainly based on computational work, where some were completed in collaboration with researchers from other universities and a national agency and others were performed by the group members and selected students. The topics were spread across disciplines in earth physics that included tectonic earthquakes, tsunami generation and propagation of seismic and non-seismic origin, volcanic eruptions and an integrated disaster mitigation study. A small portion of the projects were performed using a chosen method of applied geophysics. These studies have ended up with publications in recent years, where the saline points of the key findings are here presented. Future studies focusing on vulnerability to earthquake hazards in the northern areas of Java and on volcanic and meteo-tsunamis are also discussed in the context of possible tsunamis induced by seismic sources or volcanic processes.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"30 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2633/1/012016
Zailan Siri, Sharifah Nuriza S M N Al ‘Idrus
Abstract A numerical study was carried out to investigate Marangoni convection of nanofluid in a C-shape cavity with partially heated walls. The opposite sides of the walls are cooled at constant temperature while the rest of the partitions are kept adiabatic. The governing equations and boundary conditions are then introduced to describe the fluid flow and temperature distribution within the enclosure before the equations are non-dimensionalised and solved using the finite element method. The solutions, presented as streamlines, isotherms, local Nusselt and average Nusselt for varying Marangoni number, Rayleigh number, and depth, are then discussed.
{"title":"Marangoni convection in a C-shape enclosure with partially heated walls","authors":"Zailan Siri, Sharifah Nuriza S M N Al ‘Idrus","doi":"10.1088/1742-6596/2633/1/012016","DOIUrl":"https://doi.org/10.1088/1742-6596/2633/1/012016","url":null,"abstract":"Abstract A numerical study was carried out to investigate Marangoni convection of nanofluid in a C-shape cavity with partially heated walls. The opposite sides of the walls are cooled at constant temperature while the rest of the partitions are kept adiabatic. The governing equations and boundary conditions are then introduced to describe the fluid flow and temperature distribution within the enclosure before the equations are non-dimensionalised and solved using the finite element method. The solutions, presented as streamlines, isotherms, local Nusselt and average Nusselt for varying Marangoni number, Rayleigh number, and depth, are then discussed.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"14 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Fossil fuels utilization will produce a large amount of CO 2 , which causes a series of environmental problems. However, the exhaust CO 2 can be used to achieve oil recovery improvement (CO 2 EOR), while simultaneously allowing for the geological storage of CO 2 . For the unconventional reservoir, CO 2 huff ‘n’ puff (HNP) is a potential technology showing promising results in laboratory experiments, while its effectiveness in enhancing oil recovery and CO 2 sequestration at the reservoir scale remains uncertain. Thus, further research is needed to evaluate the CO 2 HNP performance for its implementation. In this paper, we conducted a numerical simulation of the CO 2 HNP process in a real tight oil reservoir (1800 m × 350 m × 10m in size) to assess its potential for improving oil recovery, CO 2 injectivity, and CO 2 sequestration. The results show that the accumulative oil production increased by more than 20% after the implementation of CO 2 HNP. Meanwhile, CO 2 HNP in tight oil reservoirs is proven capable to achieve CO 2 injectivities of more than 4×10 7 SCm 3 and CO 2 storages of more than 5×10 6 SCm 3 . We designed 3 CO 2 HNP schemes and found that the largest CO 2 storage does not occur in the optimal scenario for oil production. A new type of CO 2 HNP evaluation system considering oil production and storage capacity needs to be established. The results of the article suggest that CO 2 HNP can achieve an oil production increase and CO 2 storage in tight reservoirs, which has a positive significance for the sustainable development of environmental protection.
{"title":"Assessing the potential of CO<sub>2</sub> huff ‘n’ puff technology for enhanced oil recovery and CO<sub>2</sub> sequestration in tight oil reservoirs","authors":"Longhui Yu, Hangyu Li, Junrong Liu, Shuyang Liu, Zhiqiang Wang, Qizhi Tan","doi":"10.1088/1742-6596/2636/1/012001","DOIUrl":"https://doi.org/10.1088/1742-6596/2636/1/012001","url":null,"abstract":"Abstract Fossil fuels utilization will produce a large amount of CO 2 , which causes a series of environmental problems. However, the exhaust CO 2 can be used to achieve oil recovery improvement (CO 2 EOR), while simultaneously allowing for the geological storage of CO 2 . For the unconventional reservoir, CO 2 huff ‘n’ puff (HNP) is a potential technology showing promising results in laboratory experiments, while its effectiveness in enhancing oil recovery and CO 2 sequestration at the reservoir scale remains uncertain. Thus, further research is needed to evaluate the CO 2 HNP performance for its implementation. In this paper, we conducted a numerical simulation of the CO 2 HNP process in a real tight oil reservoir (1800 m × 350 m × 10m in size) to assess its potential for improving oil recovery, CO 2 injectivity, and CO 2 sequestration. The results show that the accumulative oil production increased by more than 20% after the implementation of CO 2 HNP. Meanwhile, CO 2 HNP in tight oil reservoirs is proven capable to achieve CO 2 injectivities of more than 4×10 7 SCm 3 and CO 2 storages of more than 5×10 6 SCm 3 . We designed 3 CO 2 HNP schemes and found that the largest CO 2 storage does not occur in the optimal scenario for oil production. A new type of CO 2 HNP evaluation system considering oil production and storage capacity needs to be established. The results of the article suggest that CO 2 HNP can achieve an oil production increase and CO 2 storage in tight reservoirs, which has a positive significance for the sustainable development of environmental protection.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135764998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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