The bottom water heavy oil reservoir has high natural energy, and the bottom water body multiple of the reservoir is 300 times or even higher. The natural energy of the reservoir can keep the superior condition that t...The bottom water heavy oil reservoir has high natural energy, and the bottom water body multiple of the reservoir is 300 times or even higher. The natural energy of the reservoir can keep the superior condition that the formation energy does not decrease under the condition of large liquid volume and high recovery rate. In view of this reservoir condition, we take C oilfield as an example to carry out the oilfield development effect under the condition of large liquid volume and high-speed production, and analyze the influence of high-speed production and medium low-speed production on recovery rate of similar heavy oil bottom water-reservoir. The results show that the rising trend of water cut in oilfield is the same whether high-speed development with large liquid volume or conventional low-speed development is adopted. Under the condition of high liquid production, the sweep efficiency of water flooding is high in the same period of time, which has certain advantages of enhanced oil recovery. The development mode of early large liquid production is explored, which provides certain guidance for the efficient development of heavy oil reservoir with bottom water.展开更多
C oilfield is located in Bohai Bay Basin, a typical strong bottom water reservoir. There is a large amount of remaining oil in the plane and vertical direction, which cannot be used. Therefore, it is urgent to explore...C oilfield is located in Bohai Bay Basin, a typical strong bottom water reservoir. There is a large amount of remaining oil in the plane and vertical direction, which cannot be used. Therefore, it is urgent to explore the feasibility of changing the development mode of typical sand bodies and displacement mining. In this study, the residual distribution of the bottom water reservoir is studied through numerical simulation. According to the distribution of remaining oil in the middle of the two sand bodies and the local structure of the sand body, it is divided into top remaining oil, edge remaining oil, and inter well-remaining oil. The effects of different angular permeability laws and differential and injected medium on the development effect are simulated and analyzed. It is found that the effect of gas injection is affected by a high mobility ratio, which is easy to break through early, and the effect of gas channeling is limited. Using active water and air-water alternate (ammonia foam) can achieve relatively good results. This experimental study guides tapping the remaining oil potential in the offshore strong bottom water reservoir.展开更多
In order to study the micro genetic mechanism and main geological controlling factors of low resistivity reservoir in NgIII formation of X oilfield in Bohai sea in China, the clay mineral composition, irreducible wate...In order to study the micro genetic mechanism and main geological controlling factors of low resistivity reservoir in NgIII formation of X oilfield in Bohai sea in China, the clay mineral composition, irreducible water saturation, salinity and conductive minerals of low resistivity reservoir were studied by using the data of core, cast thin section and analysis, and compared with normal resistivity reservoir. At the same time, the control effect of sedimentary environment on low resistivity reservoir was discussed. The results show that the additional conductivity of high bound water content and high montmorillonite content in the reservoir together leads to the significant reduction of reservoir resistivity, which is the main microscopic cause of the formation of low resistance, and is mainly controlled by the sedimentary background such as paleoclimate and sedimentary cycle. During the deposition period of NgIII formation, the paleoclimate was dry and cold, and it was at the end of the water advance of the medium-term sedimentary cycle. The hydrodynamic force of the river channel was weak, the carrying capacity of the riverbed was weak, and the river channel swayed frequently, resulting in fine lithologic particle size, high shale content and complex pore structure of the reservoir, resulting in significant reduction of reservoir resistance. The research conclusion would have strong guiding significance for the development of low resistivity reservoirs in this area.展开更多
Background Ventilator-associated pneumonia(VAP)is a significant and common health concern.The epidemiological landscape of VAP is poorly understood in neurosurgery patients.This study aimed to explore the epidemiology...Background Ventilator-associated pneumonia(VAP)is a significant and common health concern.The epidemiological landscape of VAP is poorly understood in neurosurgery patients.This study aimed to explore the epidemiology of VAP in this population and devise targeted surveillance,treatment,and control efforts.Methods A 10-year retrospective study spanning 2011 to 2020 was performed in a large Chinese tertiary hospital.Surveillance data was collected from neurosurgical patients and analyzed to map the demographic and clinical characteristics of VAP and describe the distribution and antimicrobial resistance profile of leading pathogens.Risk factors associated with the presence of VAP were explored using boosted regression tree(BRT)models.Results Three hundred ten VAP patients were identified.The 10-year incidence of VAP was 16.21 per 1000 ventilation days.All-cause mortality was 6.1%.The prevalence of gram-negative bacteria,fungi,and gram-positive bacteria among the 357 organisms isolated from VAP patients was 86.0%,7.6%,and 6.4%,respectively;most were multidrug-resistant organisms.Acinetobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa were the most common pathogens.The prevalence of carbapenem-resistant A.baumannii,P.aeruginosa,and K.pneumoniae was high and increased over time in the study period.The BRT models revealed that VAP was associated with number of days of ventilator use(relative contribution,47.84±7.25),Glasgow Coma Scale score(relative contribution,24.72±5.67),and tracheotomy(relative contribution,21.50±2.69).Conclusions Our findings provide a better understanding of the epidemiology of VAP and its risk factors in neurosurgery patients.展开更多
This study investigates the effects of science and technology innovation project-driven teaching on college students'achievement goal orientation and learning satisfaction based on educational psychology theories....This study investigates the effects of science and technology innovation project-driven teaching on college students'achievement goal orientation and learning satisfaction based on educational psychology theories.Through questionnaire surveys and statistical analysis,the results show that this teaching approach significantly predicts learning satisfaction(β=0.536)and mastery goal orientation(β=0.528,p<0.001).When incorporating mastery goal orientation,its predictive effect on learning satisfaction remains significant(β=0.274,p<0.001),while mastery goal orientation itself positively predicts learning satisfaction(β=0.472,p<0.001),indicating a possible mediating role between these two factors.The research demonstrates that science and technology innovation project-driven teaching not only directly enhances learning satisfaction and promotes mastery goal orientation formation,but also indirectly influences learning satisfaction through its impact on mastery goal orientation.This provides theoretical and practical foundations for university teaching reforms and improving student learning experiences.展开更多
With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assist...With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assisted teaching on college students'academic burnout and examines the mediating role of teacher-student interaction quality.A questionnaire survey was conducted among 520 university students using the Academic Burnout Scale and Teacher-Student Interaction Quality Scale,with data processing and analysis performed through SPSS 26.0 and AMOS 24.0.Results indicate:(1)There is a significant negative correlation between AI-assisted teaching frequency and academic burnout(r=-0.32,p<0.01);(2)AI-assisted teaching frequency shows a significant positive correlation with teacher-student interaction quality(r=0.45,p<0.01);(3)Teacher-student interaction quality demonstrates a significant negative correlation with academic burnout(r=-0.51,p<0.01);(4)Teacher-student interaction quality partially mediates the relationship between AI-assisted teaching and academic burnout,accounting for 57.8%of the total effect.The findings provide empirical evidence for universities to optimize teaching processes and alleviate students'academic burnout through AI technology.展开更多
With the deepening of higher education reform and the advancement of innovation-driven development strategies,scientific and technological innovation activities among college students have become a crucial platform fo...With the deepening of higher education reform and the advancement of innovation-driven development strategies,scientific and technological innovation activities among college students have become a crucial platform for cultivating innovative talents.However,contemporary students face multiple challenges including academic pressure and competitive anxiety,with learning burnout increasingly becoming prominent,significantly impacting their academic performance and mental health.This study,grounded in the social support theory of educational psychology,explores the mitigating effects and mechanisms of team collaboration in scientific and technological innovation activities on learning burnout.The findings reveal that collaborative innovation teams provide emotional,informational,instrumental,and evaluative support.By fulfilling students'need for belongingness,enhancing self-efficacy,optimizing learning motivation,and regulating emotional states,these teams effectively alleviate learning burnout.Finally,optimization strategies are proposed from perspectives of team building,institutional safeguards,and teacher guidance,offering references for universities to improve talent cultivation quality.展开更多
文摘The bottom water heavy oil reservoir has high natural energy, and the bottom water body multiple of the reservoir is 300 times or even higher. The natural energy of the reservoir can keep the superior condition that the formation energy does not decrease under the condition of large liquid volume and high recovery rate. In view of this reservoir condition, we take C oilfield as an example to carry out the oilfield development effect under the condition of large liquid volume and high-speed production, and analyze the influence of high-speed production and medium low-speed production on recovery rate of similar heavy oil bottom water-reservoir. The results show that the rising trend of water cut in oilfield is the same whether high-speed development with large liquid volume or conventional low-speed development is adopted. Under the condition of high liquid production, the sweep efficiency of water flooding is high in the same period of time, which has certain advantages of enhanced oil recovery. The development mode of early large liquid production is explored, which provides certain guidance for the efficient development of heavy oil reservoir with bottom water.
文摘C oilfield is located in Bohai Bay Basin, a typical strong bottom water reservoir. There is a large amount of remaining oil in the plane and vertical direction, which cannot be used. Therefore, it is urgent to explore the feasibility of changing the development mode of typical sand bodies and displacement mining. In this study, the residual distribution of the bottom water reservoir is studied through numerical simulation. According to the distribution of remaining oil in the middle of the two sand bodies and the local structure of the sand body, it is divided into top remaining oil, edge remaining oil, and inter well-remaining oil. The effects of different angular permeability laws and differential and injected medium on the development effect are simulated and analyzed. It is found that the effect of gas injection is affected by a high mobility ratio, which is easy to break through early, and the effect of gas channeling is limited. Using active water and air-water alternate (ammonia foam) can achieve relatively good results. This experimental study guides tapping the remaining oil potential in the offshore strong bottom water reservoir.
文摘In order to study the micro genetic mechanism and main geological controlling factors of low resistivity reservoir in NgIII formation of X oilfield in Bohai sea in China, the clay mineral composition, irreducible water saturation, salinity and conductive minerals of low resistivity reservoir were studied by using the data of core, cast thin section and analysis, and compared with normal resistivity reservoir. At the same time, the control effect of sedimentary environment on low resistivity reservoir was discussed. The results show that the additional conductivity of high bound water content and high montmorillonite content in the reservoir together leads to the significant reduction of reservoir resistivity, which is the main microscopic cause of the formation of low resistance, and is mainly controlled by the sedimentary background such as paleoclimate and sedimentary cycle. During the deposition period of NgIII formation, the paleoclimate was dry and cold, and it was at the end of the water advance of the medium-term sedimentary cycle. The hydrodynamic force of the river channel was weak, the carrying capacity of the riverbed was weak, and the river channel swayed frequently, resulting in fine lithologic particle size, high shale content and complex pore structure of the reservoir, resulting in significant reduction of reservoir resistance. The research conclusion would have strong guiding significance for the development of low resistivity reservoirs in this area.
基金Youth-Support Project of Chinese PLA General Hospital(QNF19044)Project on Bio-Safety Control and Prevention(2020-YJXTGCWQS-X9288).
文摘Background Ventilator-associated pneumonia(VAP)is a significant and common health concern.The epidemiological landscape of VAP is poorly understood in neurosurgery patients.This study aimed to explore the epidemiology of VAP in this population and devise targeted surveillance,treatment,and control efforts.Methods A 10-year retrospective study spanning 2011 to 2020 was performed in a large Chinese tertiary hospital.Surveillance data was collected from neurosurgical patients and analyzed to map the demographic and clinical characteristics of VAP and describe the distribution and antimicrobial resistance profile of leading pathogens.Risk factors associated with the presence of VAP were explored using boosted regression tree(BRT)models.Results Three hundred ten VAP patients were identified.The 10-year incidence of VAP was 16.21 per 1000 ventilation days.All-cause mortality was 6.1%.The prevalence of gram-negative bacteria,fungi,and gram-positive bacteria among the 357 organisms isolated from VAP patients was 86.0%,7.6%,and 6.4%,respectively;most were multidrug-resistant organisms.Acinetobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa were the most common pathogens.The prevalence of carbapenem-resistant A.baumannii,P.aeruginosa,and K.pneumoniae was high and increased over time in the study period.The BRT models revealed that VAP was associated with number of days of ventilator use(relative contribution,47.84±7.25),Glasgow Coma Scale score(relative contribution,24.72±5.67),and tracheotomy(relative contribution,21.50±2.69).Conclusions Our findings provide a better understanding of the epidemiology of VAP and its risk factors in neurosurgery patients.
文摘This study investigates the effects of science and technology innovation project-driven teaching on college students'achievement goal orientation and learning satisfaction based on educational psychology theories.Through questionnaire surveys and statistical analysis,the results show that this teaching approach significantly predicts learning satisfaction(β=0.536)and mastery goal orientation(β=0.528,p<0.001).When incorporating mastery goal orientation,its predictive effect on learning satisfaction remains significant(β=0.274,p<0.001),while mastery goal orientation itself positively predicts learning satisfaction(β=0.472,p<0.001),indicating a possible mediating role between these two factors.The research demonstrates that science and technology innovation project-driven teaching not only directly enhances learning satisfaction and promotes mastery goal orientation formation,but also indirectly influences learning satisfaction through its impact on mastery goal orientation.This provides theoretical and practical foundations for university teaching reforms and improving student learning experiences.
文摘With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assisted teaching on college students'academic burnout and examines the mediating role of teacher-student interaction quality.A questionnaire survey was conducted among 520 university students using the Academic Burnout Scale and Teacher-Student Interaction Quality Scale,with data processing and analysis performed through SPSS 26.0 and AMOS 24.0.Results indicate:(1)There is a significant negative correlation between AI-assisted teaching frequency and academic burnout(r=-0.32,p<0.01);(2)AI-assisted teaching frequency shows a significant positive correlation with teacher-student interaction quality(r=0.45,p<0.01);(3)Teacher-student interaction quality demonstrates a significant negative correlation with academic burnout(r=-0.51,p<0.01);(4)Teacher-student interaction quality partially mediates the relationship between AI-assisted teaching and academic burnout,accounting for 57.8%of the total effect.The findings provide empirical evidence for universities to optimize teaching processes and alleviate students'academic burnout through AI technology.
文摘With the deepening of higher education reform and the advancement of innovation-driven development strategies,scientific and technological innovation activities among college students have become a crucial platform for cultivating innovative talents.However,contemporary students face multiple challenges including academic pressure and competitive anxiety,with learning burnout increasingly becoming prominent,significantly impacting their academic performance and mental health.This study,grounded in the social support theory of educational psychology,explores the mitigating effects and mechanisms of team collaboration in scientific and technological innovation activities on learning burnout.The findings reveal that collaborative innovation teams provide emotional,informational,instrumental,and evaluative support.By fulfilling students'need for belongingness,enhancing self-efficacy,optimizing learning motivation,and regulating emotional states,these teams effectively alleviate learning burnout.Finally,optimization strategies are proposed from perspectives of team building,institutional safeguards,and teacher guidance,offering references for universities to improve talent cultivation quality.
