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Showing records 144 to 168 of 358. [First] Page: 1 3 4 5 6 7 8 9 10 11 Last
Recovering Polyphenols in Aqueous Solutions from Olive Mill Wastewater and Olive Leaf for Biological Applications
Adrián Hernández-Fernández, Yolanda Garrido, Eduardo Iniesta-López, Antonia Pérez de los Ríos, Joaquín Quesada-Medina, Francisco José Hernández-Fernández
January 12, 2024 (v1)
Keywords: circular economy, hydroxytyrosol, oleuropein, olive leaf, olive mill wastewater, polyphenols
Olive leaf and olive mill wastewater are wastes which are produced in olive industry and can be used to obtain value-added products such as polyphenols. In this work, extracts of polyphenols from olive mill wastewater and olive leaf in an aqueous medium are obtained and their composition in polyphenols were determined and compared with those obtained using the conventional extract agent (methanol−water). The antioxidant capacity of the aqueous extracts of olive mill wastewater and olive leaf were also analysed. It was observed that the olive mill wastewater extracted in water provides a similar content of phenolic compounds in the final extract compared to extraction with methanol−water, with the main polyphenols being hydrotyrosol and tyrosol (20.1 and 6.61 mg gdw−1). In the case of leaf extraction, the methanol-free extract (recovery in water after extraction with methanol−water) had a lower total phenol content compared to the methanolic extract, with the main polyphenol being oleur... [more]
Fast Prediction of the Temperature Field Surrounding a Hot Oil Pipe Using the POD-BP Model
Feng Yan, Kaituo Jiao, Chaofei Nie, Dongxu Han, Qifu Li, Yujie Chen
January 12, 2024 (v1)
Keywords: BP neural network, hot oil pipe, POD prediction, temperature field
The heat transfer assessment of a buried hot oil pipe is essential for the economical and safe transportation of the pipeline, where the basis is to determine the temperature field surrounding the pipe quickly. This work proposes a novel method to efficiently predict the temperature field surrounding a hot oil pipe, which combines the proper orthogonal decomposition (POD) method and the backpropagation (BP) neural network, named the POD-BP model. Specifically, the BP neural network is used to establish the mapping relationship between spectrum coefficients and the preset parameters of the sample. Compared with the classical POD reduced-order model, the POD-BP model avoids solving the system of reduced-order governing equations with spectrum coefficients as variables, thus improving the prediction speed. Another advantage is that it is easy to implement and does not require tremendous mathematical derivation of reduced-order governing equations. The POD-BP model is then used to predict... [more]
Design and Research of a Field Bus Control System Laboratory for Metal Mining, Beneficiation and Metallurgy
Siyuan Wang, Jiugang Lei, Shan Hu, Guxiu Tang, Zhen Chen, Weiwei Yang, Yufeng Liu, Guofan Zhang
January 12, 2024 (v1)
Keywords: communication network, DCS, fieldbus, industrial process control, laboratory construction, mining and metallurgy, nonferrous metal
Fieldbus control systems play a pivotal role in industries such as mining, beneficiation, and metallurgy, facilitating precise process control. However, diverse process conditions and applications often lead to challenges during system implementation. The prevalence of process control projects underscores the need for dedicated control system laboratories to address these problems. Our research delves into the complexities of process control systems, focusing on mainstream brands such as Siemens, Rockwell, and Emerson, involving analysis of network architectures, software, and hardware configurations. Through rigorous testing of real equipment systems, we uncover prevalent issues in practical control system applications. These findings guide the resolution of technical challenges faced in project control, concurrently enhancing the design and debugging prowess of engineering professionals. We also anticipate the trajectory of intelligent manufacturing, embracing collaborative manufactu... [more]
Phosphorus Recovery from Wastewater Aiming Fertilizer Production: Struvite Precipitation Optimization Using a Sequential Plackett−Burman and Doehlert Design
Paulo Victor Campos, Rômulo Simões Angélica, Lênio José Guerreiro de Faria, Simone Patrícia Aranha Da Paz
January 12, 2024 (v1)
Keywords: combined responses, DOE, phase identification, thermochemical analysis
The precipitation of struvite from wastewater is a potential alternative for the recovery of nutrients, especially phosphorus, which is an essential macronutrient for agriculture but can be harmful to the environment when improperly disposed of in water bodies. In addition, struvite has elements of great added value for agricultural activity (P, N, and Mg) and is, therefore, considered a sustainable alternative fertilizer. In its formation process, several intervening physicochemical factors may be responsible for the production yield levels. Optimization processes can help to define and direct the factors that truly matter for precipitation. In this context, a sequential design of experiments (DOE) methodology was applied to select and optimize the main struvite precipitation factors in wastewater. Initially, a screening was performed with eight factors with the aid of Plackett−Burman design, and the factors with a real influence on the process were identified. Then, a Doehlert design... [more]
Optimizing the Control of the Hydraulic Driving System for the Power Shift Gearbox of a Cotton Picker Based on Dual Working Conditions
Yuangang Lin, Jingan Feng, Pengda Zhao, Xiangdong Ni, Huajun Chen, Haoyun Ye, Yongqiang Zhao, Wenlong Pan, Bao Song
January 12, 2024 (v1)
Keywords: automatic control, BP neural network control, cotton picker, power shifting, Statechart logic control
In response to the issues of slow dynamic response, uneven shifting, and strong jolting during the starting and shifting operations of the cotton picker, we established a model for automatic power shifting control. We proposed optimization strategies using the Statechart logic control method and BP neural network control method. Different control effects were analyzed concerning pressure, flow rate, motor speed, vehicle speed, impact degree, and slip-grinding work. The results showed that the Statechart logic control method increased the response time of the flow rate by 46.67% during the starting process, with a good linear characteristic during the variation. It reduced the impact during starting and shifting by 38.57% and 67%, and the sliding friction power during starting and shifting by 51.95% and 33.33% respectively. The BP neural network control method reduced the pressure overshoot during starting and shifting by 25% and 30.77%, respectively, demonstrating better robustness. Th... [more]
Special Issue “Multiphase Flows and Particle Technology”
Xizhong Chen, Li Ge Wang, Liping Li
January 12, 2024 (v1)
Research into multiphase flow and particle technology is closely related and holds significant importance in various fields of engineering and scientific applications [...]
Enhancing Electric Discharge Machining Performance by Selecting Electrode Design and Geometrical Parameters for Square, Triangular, and Hexagonal Profiled Holes
Madiha Rafaqat, Nadeem Ahmad Mufti, Muhammad Qaiser Saleem, Naveed Ahmed, Ateekh Ur Rehman, Sadaf Zahoor, Muhammad Asad Ali
January 12, 2024 (v1)
Subject: Materials
Keywords: electric discharge machining, land thickness, material removal rate, relief angle, tool design, tool wear rate
Manufacturing of dies, molds, and their allied components requires the machining of holes with different profiles. Electric discharge machining (EDM) die-sinking is a crucial process used in the dies and molds manufacturing industry. By nature, EDM die-sinking is a relatively slow process in terms of material removal rate (MRR) and there are high amounts of tool material loss in terms of tool wear rate (TWR) which directly influence dimensional accuracies and surface roughness (SR). Therefore, the process is continuously evolving to address these limitations. The present research is aligned in this direction such as to bring improvements in MRR, TWR, and SR through modifications to the conventional electrode design and its geometrical parameters. Traditional designs of EDM electrodes have a uniform cross-section through the tool’s entire length and have only one geometrical parameter, i.e., the tool’s cross-section. To improve the EDM performance, traditional designs are completely mod... [more]
Design of Continuous Kneading System for Active Anode Material Fabrication Using Retrofitted Assembly of Co-Rotating Screw Extruder
Gang-Ho Lee, Hyenoseok Yi, Hye-Ryeong Cho, Yu-Jin Kim, Sei-Min Park, Seong-Jin Yoon, Dong-Jin Seo, Kyeongseok Oh, Jeong-Mi Yeon, Sun-Yong Choi, Seong-Ho Yoon, Joo-Il Park
January 12, 2024 (v1)
Subject: Materials
Keywords: anode material, artificial graphite, kneading process, lithium ion battery, twin-screw extruder
As the demand for artificial graphite for lithium-ion battery (LIB) anode materials is on the rise, technologies for optimizing the manufacturing processes and reducing the production costs of artificial graphite are crucial. At the same time, globally, regulations on the generation of harmful volatile substances during the artificial graphite production process are also becoming increasingly stringent. In this study, we focused on a continuous kneading process that minimizes the emission of volatile substances during the manufacturing of artificial graphite. To this end, a carbonized material was first prepared from a mixture of needle coke and binder pitch and processed at 3200 °C using two types of co-rotating twin-screw extruder-based continuous kneading equipment to ultimately obtain artificial graphite. The physical properties of the carbonized as well as graphitized materials were analyzed, which revealed the superior performance of the LIB anode material, namely a discharge cap... [more]
Construction of a Multifunctional PCM@Catalyst Composite and Its Application in the Fluid Catalytic Cracking Process
Guoqing An, Zhixiang Cheng, Ying Ouyang, Siqi Liu, Hongyi Gao
January 12, 2024 (v1)
Subject: Materials
Keywords: Al-Si alloy, catalyst, catalytic cracking, multifunctional composite, phase change microcapsules
Fluid catalytic cracking (FCC) is one of the most important processes in gasoline/diesel oil production, but the strong endothermic effect accompanied by this reaction often results in the deactivation of the catalyst. In this paper, a novel multifunctional phase change material (PCM)@Catalyst composite was designed and constructed, in which the PCM could be used to store waste heat and regulate the temperature for enhancing the catalytic efficiency of the FCC catalyst. Firstly, a core/shell Al-12wt%Si@Al2O3 was prepared via subsequent vapor treatment and high-temperature calcination of an Al-12wt%Si sphere. The Al species in the Al-12wt%Si served as the source of metal ions and was transformed in situ into a well-defined Al2O3 shell, which greatly improved the thermal stability and prevented the leaking of the Al-12wt% Si core in the high-temperature situation. The PCMs@Catalyst composite was then fabricated by casting the mixed powder of Al-12wt%Si@Al2O3 and Y zeolite into a granulat... [more]
Photo-Programmable Processes in Bithiophene−Azobenzene Monolayers on Gold Probed via Simulations
Vladyslav Savchenko, Moufdi Hadjab, Alexander S. Pavlov, Olga Guskova
January 12, 2024 (v1)
Keywords: azobenzene, charge transfer, chemisorbed monolayer, conjugated oligomer, molecular modeling, molecular switch, organic electronics, photoisomerization
In this study, we investigate the structural changes, electronic properties, and charge redistribution within azo-bithiophene (Azo-BT)-chemisorbed monolayers under different light stimuli using the density functional theory and molecular dynamics simulations. We consider two types of switches, Azo-BT and BT-Azo, with different arrangements of the Azo and BT blocks counting from the anchor thiol group. The chemisorbed monolayers of pure cis- and trans-isomers with a surface concentration of approximately 2.7 molecules per nm2 are modeled on a gold surface using the classical all-atom molecular dynamics. Our results reveal a significant shrinkage of the BT-Azo layer under UV illumination, whereas the thicknesses of the Azo-BT layer remain comparable for both isomers. This difference in behavior is attributed to the ordering of the trans-molecules in the layers, which is more pronounced for Azo-BT, leading to a narrow distribution of the inclination angle to the gold surface. Conversely,... [more]
Numerical Simulation Study on Vibration Reduction Effect of Flexible Cutting-Tooth Unit
Haitao Ren, Jingwei Xu, Xin Jia, Sheng Zhou, Chunxiao Zhou, Yingxin Yang, Qi Zhan
January 12, 2024 (v1)
Keywords: drilling speed, flexible cutting, impact dynamic load, PDC bit, rock breaking mechanism
Under the conditions of drilling in gravel-bearing and heterogeneous stratas, the movement and force of the PDC bit during drilling are highly unstable. Irregular impact loads often cause fatigue failures such as tooth fracture, tooth breakage and delamination of the composite sheet. Dynamic impact load is the main cause of fatigue failure of cutting-tooth, which seriously affects the rock-breaking performance of PDC bits. This paper proposes a flexible cutting tooth unit consisting of a central tooth, an elastic element, and a base. The technical concept of flexible-cutting rock breaking is to reduce the impact load amplitude suffered during the cutting process to a certain threshold range by setting elastic elements or reducing the support stiffness of the cutting tooth, so as to inhibit the expansion of micro defects caused by the impact dynamic load of cutting teeth and prolong the service life of drill bits. The finite-element models of flexible cutting teeth for rock cutting were... [more]
Study on the Migration and Transformation of Nitrogen in Mine Water under the Action of Water−Coal Interactions
Binbin Jiang, Ze Zhao, Zhiguo Cao, Deqian Liu, Jiawei Tang, Haiqin Zhang, Yuan Liu, Dingcheng Liang
January 12, 2024 (v1)
Keywords: coal mine underground reservoir, migration transformation, nitrogen, water–coal interaction
The coal pillar dam of underground reservoirs and residual coal in goaves have a direct impact on the quality of mine water. In this paper, the coal pillar dam of an underground reservoir and residual coal in the goaf and mine water in the Daliuta coal mine are used as research objects. The adsorption mechanism of residual coal with respect to NO3− in mine water was analyzed by carrying out adsorption experiments. The composition and variation of organic matter in mine water at different times were simulated using three-dimensional fluorescence spectrum analysis. The influence of residual coal and microorganisms in underground reservoirs on the change in NO3− contents in mine water was explored. Moreover, the mechanism of NO3− changes in the water body was clarified. The results showed that the concentration of NO3− in the water first decreased and then increased, showing a downward trend as a whole. The adsorption of NO3− by residual coal led to a decrease in its concentration, which... [more]
Boosting CO2 Uptake from Waste Concrete Powder Using Artificial Intelligence and the Marine Predators Algorithm
Hegazy Rezk, Ali Alahmer, Rania M. Ghoniem, Samer As’ad
January 12, 2024 (v1)
Keywords: ANFIS modeling, CO2 uptake, marine predators algorithm, mineral carbonation, waste concrete powder
Waste concrete powder (WCP) is emerging as a potential method of adoption for CO2 sequestration due to its ability to chemically react with carbon dioxide and trap it within its structure. This study explores the application of artificial intelligence (AI) and the Marine Predators Algorithm (MPA) to maximize the absorption of CO2 from waste concrete powder generated by recycling plants for building and demolition debris. Initially, a model is developed to assess CO2 uptake according to carbonation time (CT) and water-to-solid ratio (WSR), utilizing the adaptive neuro-fuzzy inference system (ANFIS) modeling approach. Subsequently, the MPA is employed to estimate the optimal values for CT and WSR, thereby maximizing CO2 uptake. A significant improvement in modeling accuracy is evident when the ANOVA method is replaced with ANFIS, leading to a substantial increase of approximately 19% in the coefficient of determination (R-squared) from 0.84, obtained through ANOVA, to an impressive 0.999... [more]
Simulation and Experimental Study on Vibrating Screen-Type Grain-Recovery Device with Upper Centrifugal Fan
Yanjun Li, Yanguang Gong, Yongtao Yu, Fuxiang Xie
January 12, 2024 (v1)
Keywords: CFD–EDEM, grain recovery, orthogonal experiment, virtual simulation
To solve the problem of grain loss caused by nibbling during the working process of the maize ear and stem harvesting machine, a vibrating screen-type grain-recovery device with an upper centrifugal fan was designed. The device mainly consists of a centrifugal fan and vibrating screen. The work process of the grain-recovery device is theoretically analyzed, and it is clarified that the turning of the bracts is the key to separating the bracts from the grains, and the design criteria of the vibrating screen are obtained. The CFD−EDEM coupled single-factor simulation experiment was carried out on the size of the vibrating screen sieve hole and the number of draft bars, and the motion posture of the bracts was simulated. Based on the previous CFD−EDEM coupled simulation study, the orthogonal experiment was carried out on the fan speed, vibration screen drive-shaft speed, and operation speed of the grain-recovery device. The orthogonal experimental results show that, when the fan speed is... [more]
Prediction Model of the Remaining Useful Life of the Drill Bit during Micro-Drilling of the Packaging Substrate
Xianwen Liu, Sha Tao, Tao Zhu, Zhaoguo Wang, Hongyan Shi
January 12, 2024 (v1)
Subject: Materials
Keywords: degradation rate, micro-drilling, offset coefficient, packaging substrate, remaining useful life, similarity principle
The packaging substrate plays a significant role in electrical connection, heat dissipation, and protection for the chips. With the characteristics of high hardness and the complex material composition of packaging substrates, drill bit failure is an austere challenge in micro-drilling procedures. In order to monitor the health state of the drill bit and predict its remaining useful life (RUL) in micro-drilling of packaging substrate, an improved RUL prediction model is established based on the similarity principle, degradation rate, and offset coefficient. And then, a micro-drilling experiment on packaging substrate is carried out to collect the axial drilling force through the precision drilling force measurement platform. Axial drilling force signals, which are processed via the Wiener filtering method, are used to analyze the effectiveness of the improved RUL prediction model. The experiment results indicate that, compared to the curves of the traditional RUL prediction model, the... [more]
Properties of Cement Thermal Insulation Materials Containing Tailing Waste for Connecting Mines Assessed Using the Orthogonal Method with the Response Surface Method
Hongwei Deng, Chunzhen Ran, Yao Liu
January 12, 2024 (v1)
Subject: Materials
Keywords: high ground temperature, non-linear fit, optimum fit ratio, orthogonal method, response surface method, thermal insulation material
High temperature in deep mines has become the main concern to limit the production capacity of mines. To mitigate the adverse impact of the underground high-temperature environment on mine production, an orthogonal test was used to design an experimental scheme, i.e., the contents of tailings, glass beads, and ordinary Portland cement PC32.5 (PC) were set as the main horizontal factors to prepare thermal insulation material samples with different combination ratios. Compressive strength and thermal conductivity were investigated, as well as the microstructure. Based on the response surface method (RSM), the interaction between the horizontal factors was explored and analyzed using Design Expert 12 software, and thus non-linear fitting equations were established with the volume fractions of the main horizontal factors as independent variables and compressive strength and thermal conductivity as dependent variables in the analysis parameters of thermal insulation materials. The results s... [more]
A Compact Microwave-Driven UV Lamp for Dental Light Curing
Siyuan Liu, Yuqing Huang, Qinggong Guo
January 12, 2024 (v1)
Subject: Other
Keywords: dental light curing, Drude mode, microwave-driven UV lamp, miniaturization
The size of current microwave-driven UV lamps limits their direct application in dental light curing. This article proposes a coaxial structure to miniaturize the UV lamp. First, the Drude model and the finite difference time domain algorithm were used to analyze the multi-physical field coupling and the complex field distribution within the lamp. Second, the dimensional parameters of the lamp were optimized, which enabled the lamp to be miniaturized and operate with high performance. Third, to analyze the sensitivity of the lamp, the effects of input power, gas pressure, and gas composition on its performance were investigated. It was found that an input power of 6 watts was enough to light the bulb with over 90% energy utilization. Finally, to verify the feasibility, an experimental system was set up. The lamp was successfully lit in the experiment, and its spectral output was tested. The results show that the microwave-driven UV lamp based on a coaxial structure is miniaturized and... [more]
Topology Structural Design and Thermal Characteristics Analysis of High-Efficiency Heat Conductive Path for the Spindle System
Yang Li, Zhongting Liu, Lei Li, Wenlei He, Zhaoyang Hou, Wanhua Zhao, Wenwu Wu
January 12, 2024 (v1)
Subject: Optimization
Keywords: continuum structure, heat conductive path, machine tool error, topology optimization
In order to enhance the heat dissipation of the spindle under working condition, thermal conductivity paths were designed based on the topology optimization method. The heat conductive path was proposed to be constructed in the bearing housing and the spindle housing, which was simplified as a toroidal model. Taking the heat dissipation weakness as the optimization objective, the topological structure with the highest thermal conductivity was obtained based on the OC and IPTO algorithms. In order to analyze the influence of the heat conductive path on the circumferential heat distribution of the spindle, the thermal characteristic of the model with heat conductive paths filled with copper was investigated. Compared with the general model, the heat conductive path could reduce the temperature of the spindle from 47 °C to 33 °C when the volume proportion of the high thermal conductivity material was 40%. At the same time, the strength of the heat conductive path was analyzed, and the siz... [more]
Characteristics and Stabilization Mechanism of Three-Phase Foam: Improving Heavy Oil Recovery via Steam Stimulation through Two-Dimensional Visual Model
Mingxuan Wu, Zengmin Lun, Yongqiang Tang, Jinming Dai, Mingkai Liu, Deqiang Wang, Zhaomin Li
January 12, 2024 (v1)
Keywords: heavy oil, steam stimulation, temperature field, three-phase foam
There is a problem of a rapid decline in production caused by the repeated heating of the near-wellbore zone during steam stimulation. Finding a suitable foam system to expand the area of the steam chamber and slow down the rapid production of hot water during the recovery process can effectively improve the effect of steam stimulation. In this paper, CGS foam was prepared with high-temperature-resistant surfactant GD, graphite particles, and clay particles. Through the study of foam properties, it was found that with the addition of particles, the strength of the foam’s liquid film, half-life time, and temperature resistance was greatly improved. The appropriate permeability of the CGS foam and the movement characteristics of it in formations with different permeabilities were studied through a plugging experiment with a sand pack. The plugging performances of the GD foam, CGS foam, and pure particles in a simulated reservoir were compared. The development of the steam cavity during t... [more]
An Experimental Study on Temperature, Relative Humidity, and Concentrations of CO and CO2 during Different Cooking Procedures
Xi Chen, Yahui Gao, Liu Yang, Yang Liu, Miaomiao Qin, Jialing Xia, Peng Wang
January 12, 2024 (v1)
Subject: Environment
Keywords: CO concentration, CO2 concentration, cooking procedure, relative humidity, temperature
In order to explore the indoor air quality during different cooking procedures, a very common kitchen in China is selected for experimental research. An indoor air quality meter is used to measure the temperature, relative humidity, and CO and CO2 concentrations of the indoor air above the stove when people cook four different dishes under different ventilation patterns in the kitchen. The results indicate that the heat and gas consumed during cooking are closely related to the temperature and concentrations of CO and CO2. Some cooking procedures such as boiling water are related to the indoor air temperature and relative humidity in the kitchen. In addition, in kitchens without mechanical ventilation, natural ventilation shows a more significant positive effect on controlling temperature, relative humidity, and concentrations of CO and CO2 during cooking procedures.
Transitioning towards Net-Zero Emissions in Chemical and Process Industries: A Holistic Perspective
Peter Glavič, Zorka Novak Pintarič, Helena Levičnik, Vesna Dragojlović, Miloš Bogataj
January 12, 2024 (v1)
Subject: Environment
Keywords: Biomass, cement, chemicals, climate, emissions, Energy, metals, net zero, process industries, waste
Given the urgency to combat climate change and ensure environmental sustainability, this review examines the transition to net-zero emissions in chemical and process industries. It addresses the core areas of carbon emissions reduction, efficient energy use, and sustainable practices. What is new, however, is that it focuses on cutting-edge technologies such as biomass utilization, biotechnology applications, and waste management strategies that are key drivers of this transition. In particular, the study addresses the unique challenges faced by industries such as cement manufacturing and highlights the need for innovative solutions to effectively reduce their carbon footprint. In particular, the role of hydrogen as a clean fuel is at the heart of revolutionizing the chemical and process sectors, pointing the way to cleaner and greener operations. In addition, the manuscript explores the immense importance of the European Green Deal and the Sustainable Development Goals (SDGs) for the... [more]
A State Transition Diagram and an Artificial Physarum polycephalum Colony Algorithm for the Flexible Job Shop Scheduling Problem with Transportation Constraints
Zhengying Cai, Yihang Feng, Shanshan Yang, Jia Yang
January 12, 2024 (v1)
Keywords: artificial Physarum polycephalum colony, flexible job shop scheduling, state transition diagram, swarm intelligence, transportation scheduling
In many flexible job shop scheduling problems, transportation scheduling problems are involved, increasing the difficulty in problem-solving. Here, a novel artificial Physarum polycephalum colony algorithm is proposed to help us address this problem. First, the flexible job shop scheduling problem with transportation constraints is modeled as a state transition diagram and a multi-objective function, where there are ten states in total for state transition, and the multi-objective function considers the makespan, average processing waiting time, and average transportation waiting time. Second, a novel artificial Physarum polycephalum colony algorithm is designed herein with two main operations: expansion and contraction. In the expansion operation, each mycelium can cross with any other mycelia and generate more offspring mycelia, of which each includes multiple pieces of parental information, so the population expands to more than twice its original size. In the contraction operation,... [more]
CLAP: Gas Saturation Prediction in Shale Gas Reservoir Using a Cascaded Convolutional Neural Network−Long Short-Term Memory Model with Attention Mechanism
Xuefeng Yang, Chenglin Zhang, Shengxian Zhao, Tianqi Zhou, Deliang Zhang, Zhensheng Shi, Shaojun Liu, Rui Jiang, Meixuan Yin, Gaoxiang Wang, Yan Zhang
January 12, 2024 (v1)
Keywords: attention mechanism, CNN, deep learning, gas saturation, LSTM
Gas saturation prediction is a crucial area of research regarding shale gas reservoirs, as it plays a vital role in optimizing development strategies and improving the efficiency of exploration efforts. Despite the advancements in deep learning techniques, accurately modeling the complex nonlinear relationships involved in gas saturation prediction remains a challenge. To address this issue, we propose a novel cascaded model, CLAP, combining convolutional neural networks (CNNs) and Long Short-Term Memory (LSTM) with an attention mechanism. It effectively captures and visualizes the intricate nonlinear relationships, enabling accurate gas saturation prediction in shale gas reservoirs. In this study, nine logging curves from 27 shale gas wells in the Changning area of the Sichuan Basin were used to train the CLAP model for predicting the gas saturation of the Wufeng-Longmaxi Formation shale. Compared to the Archie and random forest models, the CLAP model exhibited enhanced accuracy in pr... [more]
Optimization of Batch Crystallization of Magnetic Lysozyme Crystals and Study of the Continuous Crystallization Process
Shanshan Yang, Lixia Hou, Min Su
January 12, 2024 (v1)
Subject: Optimization
Keywords: continuous crystallisation, lysozyme, magnetic, tubular
Protein crystallization is a widely employed technique for purifying protein drugs, offering notable benefits such as cost-effectiveness and high purity. However, the success of this method is influenced by factors such as the molecular weight and spatial structure of proteins. The challenges associated with achieving crystallization and the prolonged duration required for crystallization induction pose limitations on its widespread industrial implementation. In this study, we employed lysozyme derived from egg white as a representative protein to investigate the polymer-assisted self-assembly of magnetic lysozyme. Through the optimization of the initial interstitial crystallization process of magnetic lysozyme, we manipulated the supersaturation level of lysozyme and applied magnetic nanoparticle treatment. As a result, we successfully reduced the crystallization time from 24 h to 60 min. Subsequently, the findings derived from the analysis of data pertaining to the interstitial cryst... [more]
Distribution of Hyperpycnal Flow Related Sandstone Deposits in a Lacustrine Shale System: Implication for Hydrocarbon Reservoir Exploration in the Chang 7 Oil Member of the Triassic Yanchang Formation, Ordos Basin, China
Pengyu Sun, Lixia Zhao, Qian Ma, Wei Zhang, Shun Zhang, Xiao Li, Juan Wen, Luxing Dou, Zhigang Wen
January 12, 2024 (v1)
Keywords: gravity flow, hyperpycnal flow, Ordos Basin, Triassic, Yanchang Formation
Gravity flow deposits are important hydrocarbon reservoirs in deep lacustrine deposits. Previous studies have paid much attention to the hydrocarbon reservoirs in those intrabasinal classic turbidite deposits. However, relatively little is known about the distribution of oil reservoirs in those extrabasinal hyperpycnal flow deposits. With the help of cores and wireline logging data, the present study undertakes a description and interpretation of subsurface shale oil reservoirs in the deep lake deposits in Chang 7 member, Yanchang Formation, Ordos Basin. Parallel bedded fine sandstone (Sh), massive bedded fine sandstone (Sm), massive bedded fine sandstone with mud clasts (Smg), deformed bedded siltstone (Fd), wave-lenticular bedded siltstone (Fh) and black shale (M) were found and interpreted in those deep lake deposits. The deposits were interpreted as hyperpycnal flow deposits which developed in channel, levee and deep lacustrine facies. The development of the Chang 7 sand body incre... [more]
Showing records 144 to 168 of 358. [First] Page: 1 3 4 5 6 7 8 9 10 11 Last