At the beginning of May,the fourteenth Art Beijing Exposition came to an end at National Agricultural Exhibition Center.This year,while continuing the five major sectors of contemporary art,classic art,design art,publ...At the beginning of May,the fourteenth Art Beijing Exposition came to an end at National Agricultural Exhibition Center.This year,while continuing the five major sectors of contemporary art,classic art,design art,public art and youth art,Art Beijing has added some special projects, like 'Charm of Printmaking','Image of Beijing','The Horizon,the World.' and 'Art Beijing Stores'.展开更多
The 2nd Annual Session of Energyand Information Committee,CSEE, chaired by Mr. Sun Jiaping was held inBeijing on Dec. 17-20, 1991. Vice MinisterShi Dazhen, Chief Engineer Mr. LuYanchang of the Ministry of Energy, Gene...The 2nd Annual Session of Energyand Information Committee,CSEE, chaired by Mr. Sun Jiaping was held inBeijing on Dec. 17-20, 1991. Vice MinisterShi Dazhen, Chief Engineer Mr. LuYanchang of the Ministry of Energy, GeneralSecretary Mr. Du Xingyou of CSEE and someother leading staff attended the meeting.Vice Minister Shi Dazhen expressed sincerehope in his address to the session that scien-tific and technical staff in energy fieldshould launch macro policy study morewidely and deeply under the guideline of so-展开更多
一、请根据录音,填写单词。二、听对话,选择正确的答案。1.Who is coming for dinner?A.Friends.B.Aunt and uncle.C.Grandma and grandpa.2.What does Dad offer to do at the beginning?A.Go shopping.B.Set the table.C.Cook the fish.
1 As autumn becomes winter,I eagerly anticipate December's reunion with my older brother,Don,at SilverStar Mountain Resort.Our annual“SilverStar time”has reconnected us over the past decade,filling me with excit...1 As autumn becomes winter,I eagerly anticipate December's reunion with my older brother,Don,at SilverStar Mountain Resort.Our annual“SilverStar time”has reconnected us over the past decade,filling me with excitement and reflection.展开更多
January 29,Brussels,Belgium The 3rd meeting of the High-Level Forum on Standardization will take place on January 29,2025 in the Berlaymont building.The Executive Vice-President Stéphane Séjournéwill pe...January 29,Brussels,Belgium The 3rd meeting of the High-Level Forum on Standardization will take place on January 29,2025 in the Berlaymont building.The Executive Vice-President Stéphane Séjournéwill personally chair the meeting that will gather high-level representatives of Member States and relevant stakeholders in standardization.展开更多
In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network(WSN)caused by uneven energy consumption among nodes,a hybrid energy efficient clu...In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network(WSN)caused by uneven energy consumption among nodes,a hybrid energy efficient clustering routing base on firefly and pigeon-inspired algorithm(FF-PIA)is proposed to optimise the data transmission path.After having obtained the optimal number of cluster head node(CH),its result might be taken as the basis of producing the initial population of FF-PIA algorithm.The L′evy flight mechanism and adaptive inertia weighting are employed in the algorithm iteration to balance the contradiction between the global search and the local search.Moreover,a Gaussian perturbation strategy is applied to update the optimal solution,ensuring the algorithm can jump out of the local optimal solution.And,in the WSN data gathering,a onedimensional signal reconstruction algorithm model is developed by dilated convolution and residual neural networks(DCRNN).We conducted experiments on the National Oceanic and Atmospheric Administration(NOAA)dataset.It shows that the DCRNN modeldriven data reconstruction algorithm improves the reconstruction accuracy as well as the reconstruction time performance.FF-PIA and DCRNN clustering routing co-simulation reveals that the proposed algorithm can effectively improve the performance in extending the network lifetime and reducing data transmission delay.展开更多
January 30,Geneva,Switzerland&online As we step into a pivotal moment in the journey toward universal and meaningful connectivity,the Partner2Connect(P2C)Annual Meeting promises to be a transformative gathering of...January 30,Geneva,Switzerland&online As we step into a pivotal moment in the journey toward universal and meaningful connectivity,the Partner2Connect(P2C)Annual Meeting promises to be a transformative gathering of global leaders,innovators,and changemakers.This year’s programme reflects the dynamic and evolving spirit of P2C,offering engaging discussions,interactive sessions,and valuable networking opportunities.Together,we will not only celebrate our collective achievements but also confront the challenges that remain—ensuring that progress toward digital inclusion is sustainable and equitable.展开更多
A performer breathes fire during Chinese New Year celebrations at Binondo district,considered the world’s oldest Chinatown,on January 29 in Manila,Philippines.The celebrations,lasting approximately 15 days,were fille...A performer breathes fire during Chinese New Year celebrations at Binondo district,considered the world’s oldest Chinatown,on January 29 in Manila,Philippines.The celebrations,lasting approximately 15 days,were filled with traditional activities such as family gatherings,lion dances,and the exchange of red envelopes,joining the vibrant cultural event observed by Chinese communities worldwide.展开更多
The International Zebrafish Conference(IZFC)has served as the premier gathering for the zebrafish research community for over 20 years.Featuring numerous plenaries and concurrent sessions,the conference showed the lat...The International Zebrafish Conference(IZFC)has served as the premier gathering for the zebrafish research community for over 20 years.Featuring numerous plenaries and concurrent sessions,the conference showed the latest advancements in zebrafish research and provided attendees with insights into the most innovative research tools and technologies currently available.展开更多
Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 ex...Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 exhibitors from more than 30 countries including China to address the future of cleaner and more inclusive energy.展开更多
On March 5,the 2025 Cultural Exchange Activity for the Spouses of Diplomats in China themed“A Women’s Gathering.Stitching a Beautiful World”was held at EVE Castle in Beijing.This event was co-organized by the Spous...On March 5,the 2025 Cultural Exchange Activity for the Spouses of Diplomats in China themed“A Women’s Gathering.Stitching a Beautiful World”was held at EVE Castle in Beijing.This event was co-organized by the Spouses of Diplomats’Club and the Mexican Embassy in China.The wives of Ambassadors from many countries around the world have gathered in Beijing to celebrate International Women’s Day.展开更多
An April 2024 report in the journal Science suggests that“smart”or“intelligent”textiles are a step closer to making the leap from the lab to real life[1,2].The study details an innovative fiber that gathers energy...An April 2024 report in the journal Science suggests that“smart”or“intelligent”textiles are a step closer to making the leap from the lab to real life[1,2].The study details an innovative fiber that gathers energy from the environment and uses it to send electrical signals and create light,without the need for batteries or chips.The advance yields textiles that can directly respond to users’touch,opening new avenues for intelligent interaction between people and their environments,in addition to enabling potential medical,industrial,and consumer applications.展开更多
Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD...Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD)in China.Aims We aimed to leverage multisource Chinese data to gain deeper insights into the current state of the daily management of Chinese patients with AD and the burdens faced by their caregivers.Methods We searched ninemainstreampublic onlineplatforms in China fromSeptember2010 to March 2024.Natural language processing tools were used to identify patients and caregivers,and categorise patients by disease stage forfurther analysis.We analysed the current state of patient daily management,including diagnosis and treatment,choice oftreatment scenarios,patient safetyand caregiverconcerns.Results Atotal of 1211patientswithAD(66% female,82% aged 60-90)and 756caregiversfor patients with AD were identified from 107556 online sources.Most patients were derived from online consultation platforms(43%),followed by bulletin board system platforms(24%).Among the patients categorised into specific disease stages(n=382),42% were in the moderate stage.The most frequent diagnostic tools included medical history(97%)and symptoms(84%).Treatment options for patients with AD primarily included cholinesterase inhibitors,N-methyl-D-aspartate receptor antagonists and antipsychotics.Both quantitative and qualitative analysis of patients whoexperiencedwandering(n=92)indicated a higher incidence of wandering during the moderate stage of the disease.Most caregivers were family members,with their primary concerns focusing on disease management and treatment(90%),followed by daily life care(37%)and psychosocial support(25%).Conclusions Online platform data provide a broad spectrum of real-world insights into individuals affected byAD in China.This study enhances our understanding of the experiences of patients with AD and their caregivers,providing guidance for developing personalised interventions,providing advicefor caregivers and improving care for patients with AD.展开更多
Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd cou...Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting,and there is a relative lack of research on mass gathering behaviors.We believe real-time detection and monitoring of mass gathering behaviors are essential formigrating potential security risks and emergencies.Therefore,it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur,enabling prompt and effective responses.To address this problem,we propose an innovative Event-Driven Attention Network(EDAN),which achieves image-text matching in the scenario of mass gathering events with good results for the first time.Traditional image-text retrieval methods based on global alignment are difficult to capture the local details within complex scenes,limiting retrieval accuracy.While local alignment-based methods aremore effective at extracting detailed features,they frequently process raw textual features directly,which often contain ambiguities and redundant information that can diminish retrieval efficiency and degrade model performance.To overcome these challenges,EDAN introduces an Event-Driven AttentionModule that adaptively focuses attention on image regions or textual words relevant to the event type.By calculating the semantic distance between event labels and textual content,this module effectively significantly reduces computational complexity and enhances retrieval efficiency.To validate the effectiveness of EDAN,we construct a dedicated multimodal dataset tailored for the analysis of mass gathering events,providing a reliable foundation for subsequent studies.We conduct comparative experiments with other methods on our dataset,the experimental results demonstrate the effectiveness of EDAN.In the image-to-text retrieval task,EDAN achieved the best performance on the R@5 metric,while in the text-to-image retrieval task,it showed superior results on both R@10 and R@5 metrics.Additionally,EDAN excelled in the overall Rsummetric,achieving the best performance.Finally,ablation studies further verified the effectiveness of event-driven attention module.展开更多
This paper investigates the macroscopic and microscopic characteristics of viscosity reduction and quality improvement of heavy oil in a supercritical water environment through laboratory experiments and testing.The e...This paper investigates the macroscopic and microscopic characteristics of viscosity reduction and quality improvement of heavy oil in a supercritical water environment through laboratory experiments and testing.The effect of three reaction parameters,i.e.reaction temperature,reaction time and oil-water ratio,is analyzed on the product and their correlation with viscosity.The results show that the flow state of heavy oil is significantly improved with a viscosity reduction of 99.4%in average after the reaction in the supercritical water.Excessively high reaction temperature leads to a higher content of resins and asphaltenes,with significantly increasing production of coke.The optimal temperature ranges in 380–420℃.Prolonged reaction time could continuously increase the yield of light oil,but it will also results in the growth of resins and asphaltenes,with the optimal reaction time of 150 min.Reducing the oil-water ratio helps improve the diffusion environment within the reaction system and reduce the content of resins and asphaltenes,but it will increase the cost of heavy oil treatment.An oil-water ratio of 1︰2 is considered as optimum to balance the quality improvement,viscosity reduction and reaction economics.The correlation of the three reaction parameters relative to the oil sample viscosity is ranked as temperature,time and oil-water ratio.Among the four fractions of heavy oil,the viscosity is dominated by asphaltene content,followed by aromatic content and less affected by resins and saturates contents.展开更多
On 5 March,2025,the"Spring Blossoms"ASEAN-China Lady Cultural Gathering was held at the White Pagoda Academy in Beijing.The event was co-hosted by the ASEAN-China Centre and the Beijing People's Associat...On 5 March,2025,the"Spring Blossoms"ASEAN-China Lady Cultural Gathering was held at the White Pagoda Academy in Beijing.The event was co-hosted by the ASEAN-China Centre and the Beijing People's Association for Friendship with Foreign Countries.展开更多
Tight sandstone reservoirs have strong heterogeneity and complex gas-water relationship,causing diffi culty in quantitatively predicting water saturation.Deep learning,combined with rock physics analysis and geostatis...Tight sandstone reservoirs have strong heterogeneity and complex gas-water relationship,causing diffi culty in quantitatively predicting water saturation.Deep learning,combined with rock physics analysis and geostatistics theory,was used to predict water saturation in tight sandstone,focusing on the P_(sh)^(8) in the GFZ area of the Ordos Basin.Results show that:Starting with actual wells where porosity and saturation results are obtained from log interpretations,the relationship between reservoir parameters(porosity and saturation)and elastic properties(P-wave velocity,S-wave velocity,and density)is established through the development of a rock physics model suitable for the region.Under the constraints of geostatistical laws,such as background trends of elastic and reservoir parameters and the vertical variations in logging curves,reservoir conditions(including porosity,saturation,and thickness)are simulated to generate numerous pseudowells and corresponding seismic gathers modeled using the Zoeppritz equation.A convolution neural network is used to train the target curve and predict the target body.The predicted water saturation of the P_(sh)^(8) shows strong agreement with the results from two blind wells,providing a reliable basis for understanding the water saturation(Sw)of tight sandstone.展开更多
Borehole acoustic reflection logging can provide high resolution images of nearborehole geological structure. However, the conventional seismic migration and imaging methods are not effective because the reflected wav...Borehole acoustic reflection logging can provide high resolution images of nearborehole geological structure. However, the conventional seismic migration and imaging methods are not effective because the reflected waves are interfered with the dominant borehole-guided modes and there are only eight receiving channels per shot available for stacking. In this paper, we apply an equivalent offset migration method based on wave scattering theory to process the acoustic reflection imaging log data from both numerical modeling and recorded field data. The result shows that, compared with the routine post-stack depth migration method, the equivalent offset migration method results in higher stack fold and is more effective for near-borehole structural imaging with low SNR acoustic reflection log data.展开更多
文摘At the beginning of May,the fourteenth Art Beijing Exposition came to an end at National Agricultural Exhibition Center.This year,while continuing the five major sectors of contemporary art,classic art,design art,public art and youth art,Art Beijing has added some special projects, like 'Charm of Printmaking','Image of Beijing','The Horizon,the World.' and 'Art Beijing Stores'.
文摘The 2nd Annual Session of Energyand Information Committee,CSEE, chaired by Mr. Sun Jiaping was held inBeijing on Dec. 17-20, 1991. Vice MinisterShi Dazhen, Chief Engineer Mr. LuYanchang of the Ministry of Energy, GeneralSecretary Mr. Du Xingyou of CSEE and someother leading staff attended the meeting.Vice Minister Shi Dazhen expressed sincerehope in his address to the session that scien-tific and technical staff in energy fieldshould launch macro policy study morewidely and deeply under the guideline of so-
文摘一、请根据录音,填写单词。二、听对话,选择正确的答案。1.Who is coming for dinner?A.Friends.B.Aunt and uncle.C.Grandma and grandpa.2.What does Dad offer to do at the beginning?A.Go shopping.B.Set the table.C.Cook the fish.
文摘1 As autumn becomes winter,I eagerly anticipate December's reunion with my older brother,Don,at SilverStar Mountain Resort.Our annual“SilverStar time”has reconnected us over the past decade,filling me with excitement and reflection.
文摘January 29,Brussels,Belgium The 3rd meeting of the High-Level Forum on Standardization will take place on January 29,2025 in the Berlaymont building.The Executive Vice-President Stéphane Séjournéwill personally chair the meeting that will gather high-level representatives of Member States and relevant stakeholders in standardization.
基金partially supported by the National Natural Science Foundation of China(62161016)the Key Research and Development Project of Lanzhou Jiaotong University(ZDYF2304)+1 种基金the Beijing Engineering Research Center of Highvelocity Railway Broadband Mobile Communications(BHRC-2022-1)Beijing Jiaotong University。
文摘In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network(WSN)caused by uneven energy consumption among nodes,a hybrid energy efficient clustering routing base on firefly and pigeon-inspired algorithm(FF-PIA)is proposed to optimise the data transmission path.After having obtained the optimal number of cluster head node(CH),its result might be taken as the basis of producing the initial population of FF-PIA algorithm.The L′evy flight mechanism and adaptive inertia weighting are employed in the algorithm iteration to balance the contradiction between the global search and the local search.Moreover,a Gaussian perturbation strategy is applied to update the optimal solution,ensuring the algorithm can jump out of the local optimal solution.And,in the WSN data gathering,a onedimensional signal reconstruction algorithm model is developed by dilated convolution and residual neural networks(DCRNN).We conducted experiments on the National Oceanic and Atmospheric Administration(NOAA)dataset.It shows that the DCRNN modeldriven data reconstruction algorithm improves the reconstruction accuracy as well as the reconstruction time performance.FF-PIA and DCRNN clustering routing co-simulation reveals that the proposed algorithm can effectively improve the performance in extending the network lifetime and reducing data transmission delay.
文摘January 30,Geneva,Switzerland&online As we step into a pivotal moment in the journey toward universal and meaningful connectivity,the Partner2Connect(P2C)Annual Meeting promises to be a transformative gathering of global leaders,innovators,and changemakers.This year’s programme reflects the dynamic and evolving spirit of P2C,offering engaging discussions,interactive sessions,and valuable networking opportunities.Together,we will not only celebrate our collective achievements but also confront the challenges that remain—ensuring that progress toward digital inclusion is sustainable and equitable.
文摘A performer breathes fire during Chinese New Year celebrations at Binondo district,considered the world’s oldest Chinatown,on January 29 in Manila,Philippines.The celebrations,lasting approximately 15 days,were filled with traditional activities such as family gatherings,lion dances,and the exchange of red envelopes,joining the vibrant cultural event observed by Chinese communities worldwide.
基金supported by grants from the National Key R&D Program of China(2018YFA0801003,2018YFA0800200,and 2023YFA1800100)the National Natural Science Foundation of China(32030032)the Initiative Scientific Research Program,Institute of Zoology,Chinese Academy of Sciences(20231OZ0305 and 20231OZ0102).
文摘The International Zebrafish Conference(IZFC)has served as the premier gathering for the zebrafish research community for over 20 years.Featuring numerous plenaries and concurrent sessions,the conference showed the latest advancements in zebrafish research and provided attendees with insights into the most innovative research tools and technologies currently available.
文摘Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 exhibitors from more than 30 countries including China to address the future of cleaner and more inclusive energy.
文摘On March 5,the 2025 Cultural Exchange Activity for the Spouses of Diplomats in China themed“A Women’s Gathering.Stitching a Beautiful World”was held at EVE Castle in Beijing.This event was co-organized by the Spouses of Diplomats’Club and the Mexican Embassy in China.The wives of Ambassadors from many countries around the world have gathered in Beijing to celebrate International Women’s Day.
文摘An April 2024 report in the journal Science suggests that“smart”or“intelligent”textiles are a step closer to making the leap from the lab to real life[1,2].The study details an innovative fiber that gathers energy from the environment and uses it to send electrical signals and create light,without the need for batteries or chips.The advance yields textiles that can directly respond to users’touch,opening new avenues for intelligent interaction between people and their environments,in addition to enabling potential medical,industrial,and consumer applications.
基金funded by the Ministry of Science and Technology of the People's Republic of China(2021ZD0201804,GW).
文摘Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD)in China.Aims We aimed to leverage multisource Chinese data to gain deeper insights into the current state of the daily management of Chinese patients with AD and the burdens faced by their caregivers.Methods We searched ninemainstreampublic onlineplatforms in China fromSeptember2010 to March 2024.Natural language processing tools were used to identify patients and caregivers,and categorise patients by disease stage forfurther analysis.We analysed the current state of patient daily management,including diagnosis and treatment,choice oftreatment scenarios,patient safetyand caregiverconcerns.Results Atotal of 1211patientswithAD(66% female,82% aged 60-90)and 756caregiversfor patients with AD were identified from 107556 online sources.Most patients were derived from online consultation platforms(43%),followed by bulletin board system platforms(24%).Among the patients categorised into specific disease stages(n=382),42% were in the moderate stage.The most frequent diagnostic tools included medical history(97%)and symptoms(84%).Treatment options for patients with AD primarily included cholinesterase inhibitors,N-methyl-D-aspartate receptor antagonists and antipsychotics.Both quantitative and qualitative analysis of patients whoexperiencedwandering(n=92)indicated a higher incidence of wandering during the moderate stage of the disease.Most caregivers were family members,with their primary concerns focusing on disease management and treatment(90%),followed by daily life care(37%)and psychosocial support(25%).Conclusions Online platform data provide a broad spectrum of real-world insights into individuals affected byAD in China.This study enhances our understanding of the experiences of patients with AD and their caregivers,providing guidance for developing personalised interventions,providing advicefor caregivers and improving care for patients with AD.
基金sponsored by Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01A19).
文摘Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting,and there is a relative lack of research on mass gathering behaviors.We believe real-time detection and monitoring of mass gathering behaviors are essential formigrating potential security risks and emergencies.Therefore,it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur,enabling prompt and effective responses.To address this problem,we propose an innovative Event-Driven Attention Network(EDAN),which achieves image-text matching in the scenario of mass gathering events with good results for the first time.Traditional image-text retrieval methods based on global alignment are difficult to capture the local details within complex scenes,limiting retrieval accuracy.While local alignment-based methods aremore effective at extracting detailed features,they frequently process raw textual features directly,which often contain ambiguities and redundant information that can diminish retrieval efficiency and degrade model performance.To overcome these challenges,EDAN introduces an Event-Driven AttentionModule that adaptively focuses attention on image regions or textual words relevant to the event type.By calculating the semantic distance between event labels and textual content,this module effectively significantly reduces computational complexity and enhances retrieval efficiency.To validate the effectiveness of EDAN,we construct a dedicated multimodal dataset tailored for the analysis of mass gathering events,providing a reliable foundation for subsequent studies.We conduct comparative experiments with other methods on our dataset,the experimental results demonstrate the effectiveness of EDAN.In the image-to-text retrieval task,EDAN achieved the best performance on the R@5 metric,while in the text-to-image retrieval task,it showed superior results on both R@10 and R@5 metrics.Additionally,EDAN excelled in the overall Rsummetric,achieving the best performance.Finally,ablation studies further verified the effectiveness of event-driven attention module.
基金Supported by the Foundation for Innovative Research Groups of National Natural Science Foundation of China(52421002)General Program of National Natural Science Foundation of China(52474016).
文摘This paper investigates the macroscopic and microscopic characteristics of viscosity reduction and quality improvement of heavy oil in a supercritical water environment through laboratory experiments and testing.The effect of three reaction parameters,i.e.reaction temperature,reaction time and oil-water ratio,is analyzed on the product and their correlation with viscosity.The results show that the flow state of heavy oil is significantly improved with a viscosity reduction of 99.4%in average after the reaction in the supercritical water.Excessively high reaction temperature leads to a higher content of resins and asphaltenes,with significantly increasing production of coke.The optimal temperature ranges in 380–420℃.Prolonged reaction time could continuously increase the yield of light oil,but it will also results in the growth of resins and asphaltenes,with the optimal reaction time of 150 min.Reducing the oil-water ratio helps improve the diffusion environment within the reaction system and reduce the content of resins and asphaltenes,but it will increase the cost of heavy oil treatment.An oil-water ratio of 1︰2 is considered as optimum to balance the quality improvement,viscosity reduction and reaction economics.The correlation of the three reaction parameters relative to the oil sample viscosity is ranked as temperature,time and oil-water ratio.Among the four fractions of heavy oil,the viscosity is dominated by asphaltene content,followed by aromatic content and less affected by resins and saturates contents.
文摘On 5 March,2025,the"Spring Blossoms"ASEAN-China Lady Cultural Gathering was held at the White Pagoda Academy in Beijing.The event was co-hosted by the ASEAN-China Centre and the Beijing People's Association for Friendship with Foreign Countries.
基金Supported by:CNPC Major Project "Research on Key Technologies for Enhanced Oil Recovery in Tight Sandstone Gas Reservoirs"(No. 2023ZZ25)Gansu Provincial Science and Technology Major Project"Research and Application of Key Technologies for Geophysical Prediction of Natural Gas Reservoirs in Longdong Area"(No. 23ZDGA004)PetroChina Changqing Oilfield Company'Qingshimao gas field water-bearing gas reservoir 3D seismic fine interpretation and well position support'(No.2023QCPJ33)。
文摘Tight sandstone reservoirs have strong heterogeneity and complex gas-water relationship,causing diffi culty in quantitatively predicting water saturation.Deep learning,combined with rock physics analysis and geostatistics theory,was used to predict water saturation in tight sandstone,focusing on the P_(sh)^(8) in the GFZ area of the Ordos Basin.Results show that:Starting with actual wells where porosity and saturation results are obtained from log interpretations,the relationship between reservoir parameters(porosity and saturation)and elastic properties(P-wave velocity,S-wave velocity,and density)is established through the development of a rock physics model suitable for the region.Under the constraints of geostatistical laws,such as background trends of elastic and reservoir parameters and the vertical variations in logging curves,reservoir conditions(including porosity,saturation,and thickness)are simulated to generate numerous pseudowells and corresponding seismic gathers modeled using the Zoeppritz equation.A convolution neural network is used to train the target curve and predict the target body.The predicted water saturation of the P_(sh)^(8) shows strong agreement with the results from two blind wells,providing a reliable basis for understanding the water saturation(Sw)of tight sandstone.
基金supported by the National Natural Science Foundation of China (Grant No.50674098)the 863 Program (Grant No.2006AA06Z207 & 2006AA06Z213)the 973 Program (Grant No.2007CB209601)
文摘Borehole acoustic reflection logging can provide high resolution images of nearborehole geological structure. However, the conventional seismic migration and imaging methods are not effective because the reflected waves are interfered with the dominant borehole-guided modes and there are only eight receiving channels per shot available for stacking. In this paper, we apply an equivalent offset migration method based on wave scattering theory to process the acoustic reflection imaging log data from both numerical modeling and recorded field data. The result shows that, compared with the routine post-stack depth migration method, the equivalent offset migration method results in higher stack fold and is more effective for near-borehole structural imaging with low SNR acoustic reflection log data.
