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基本地震属性在沉积环境解释中的应用研究

石油地球物理勘探 2003年第6期38卷 642-653页

作者： ling yun, bgp, CNPC, zhuozhou city, hebei province, 072751,china 凌云研究组东方地球物理公司新疆克拉玛依油田分公司

地震属性在碳氢检测、储层参数预测和层序地层解释中已有广泛的应用,但将地震属性用于沉积环境解释却不多见。本文的目的旨在推进这方面的研究工作。在种类繁多的地震属性中,瞬时振幅、瞬时频率、瞬时相位和相干数据体、波形聚类可以定... 详细信息

地震属性在碳氢检测、储层参数预测和层序地层解释中已有广泛的应用,但将地震属性用于沉积环境解释却不多见。本文的目的旨在推进这方面的研究工作。在种类繁多的地震属性中,瞬时振幅、瞬时频率、瞬时相位和相干数据体、波形聚类可以定义为基本地震属性,其他地震属性均与这5种基本地震属性有直接或间接关系。这5种基本属性均能反映某种沉积现象:瞬时振幅可以反映地层的波阻抗(速度及密度)和孔隙流体的差异;瞬时相位可以刻画岩性变化的边界和一些异常体的边界;相干数据体可以反映地质体的空间变化;波形聚类可以反映地质体的空间相似程度。为了提高采用基本地震属性解释沉积环境的可信度,用宽方位角观测是十分有益的。采用相对保持振幅与高分辨率处理是必要的条件,在解释中如何合理选择参考标准层进行井信息标定也是成功的重要保证。选择参考标准层的条件是:①该层在研究区具有相同的沉积环境;②该层和目的层间必须在一个沉积旋回内,或处在一个地震波周期内。研究表明,采用上述方法提取的地震属性可以获得地震分辨率小于1/4波长的沉积环境信息,就是说,此法可以用于沉积微相的解释和预测,为寻找有利储集相带提供重要信息。

关键词：地震属性沉积环境油气运移碳氢检测储层参数

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测井与地震信息标定研究

石油地球物理勘探 2004年第1期39卷 68-74页

作者：凌云研究组东方地球物理公司

在岩性油气藏的勘探过程中 ,利用测井资料标定地震解释层位是一项最基础的工作 ,然而传统的标定方法主要存在以下问题 :①井和地面地震间的标定存在一定的多解性 ,特别是在时间标定问题上比较突出 ;②即使井旁信息能够准确标定 ,但对于... 详细信息

在岩性油气藏的勘探过程中 ,利用测井资料标定地震解释层位是一项最基础的工作 ,然而传统的标定方法主要存在以下问题 :①井和地面地震间的标定存在一定的多解性 ,特别是在时间标定问题上比较突出 ;②即使井旁信息能够准确标定 ,但对于空间变化剧烈的岩性储层而言 ,无法精确拾取储层的顶、底界面 ,也就无法有效地将井信息向空间外推 ,从而无法有效地沿层提取地震属性 ,更无法进行岩性体的有效解释。针对以上存在的问题 ,结合岩性油气藏的特点 ,本文提出了一种新的测井与地震数据间的标定模式 ,即基于参考标准层的标定和基于参考标准层的地震属性提取和解释思路。参照参考标准层的定义 ,本文给出了一套基于参考标准层提取地震属性的具体方法。通过实际测井数据和地震数据的标定 ,以及基于参考标准层的地震属性的提取和解释。

关键词：地震信息岩性油气藏油气勘探地震解释层位 VSP 声波测井技术地面地震目的层

叠前相对保持振幅、频率、相位和波形的地震数据处理与评价研究

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石油地球物理勘探 2004年第5期39卷 543-552页

作者：凌云研究组东方地球物理公司

理论模型计算和实例分析表明 ,只要空间振幅、频率、相位和波形能够达到相对保持 ,通过地震属性分析可以获得小于 1/ 4地震波长的薄层信息。可见 ,叠前相对保持振幅、频率、相位和波形的高分辨率数据处理是识别和评价薄储层的关键。文... 详细信息

理论模型计算和实例分析表明 ,只要空间振幅、频率、相位和波形能够达到相对保持 ,通过地震属性分析可以获得小于 1/ 4地震波长的薄层信息。可见 ,叠前相对保持振幅、频率、相位和波形的高分辨率数据处理是识别和评价薄储层的关键。文中从地震数据处理和地质解释的角度分别提出了相应的评价是否满足相对保持的方法。就前者而言 :利用三维激发主频振幅检测、三维激发子波检测和基于监控炮的统计频谱分析方法确定所用提高分辨率方法是否满足相对保持要求 ;是否获得准确的高精度速度场 ;是否考虑符合传播介质成像理论应用条件。对于后者 ,要求在勘探区内的目的层附近 (满足一个沉积旋回内 ) ,存在一个稳定的全区可连续追踪的参考标准层。

关键词：地震数据处理叠前地质解释地震属性分析沉积旋回振幅子波保持要求传播介质

Editable semiconductor photo-electrodes for sustainable ammonia synthesis

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Nano Research 2024年第4期17卷 3107-3112页

作者： Ning Lan Kun Du Erling Zhao Wei Zhao Tao ling Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education Institute of New-EnergySchool of Materials Science and EngineeringTianjin UniversityTianjin 300072China School of Materials Science and Engineering Tianjin Chengjian UniversityTianjin 300384China

Powered by an inexhaustible supply of solar energy,photoelectrochemical(PEC)nitrogen reduction reaction(NRR)provides an ideal solution for the synthesis of green ammonia(NH_(3)).Although great efforts have been made in the past decades,there are still significant challenges in increasing the NH_(3) yields of the PEC-NRR *** addition to the issues of low activity and selectivity similar to electrochemical NRR,the progress of PEC-NRR is also impeded by the limited increase in NH_(3) yields as the electrode is ***,we propose an editable electrode design strategy that parallels unit photo-electrodes to achieve a linear increase in NH_(3) yields with electrode active *** demonstrate that the editable electrode design strategy minimizes the electrode charge transfer resistance,allowing more photo-generated carriers to reach the electrode surface and promote the catalytic *** believe that this editable electrode design strategy provides an avenue to achieve sustainable PEC NH_(3) production.

关键词： editable electrode photoelectrochemical nitrogen reduction reaction parallel electrode ZnSe

Recent Advances in Mechanistic Understanding of Metal-Free Carbon Thermocatalysis and Electrocatalysis with Model Molecules

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Nano-Micro Letters 2024年第7期16卷 74-97页

作者： Wei Guo Linhui Yu ling Tang Yan Wan Yangming Lin CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002People’s Republic of China Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Xiamen Institute of Rare Earth MaterialsHaixi InstituteChinese Academy of SciencesXiamen 361021People’s Republic of China State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002People’s Republic of China Institute of Urban Environment Chinese Academy of SciencesXiamen 361021People’s Republic of China

Metal-free carbon,as the most representative heterogeneous metal-free catalysts,have received considerable interests in electro-and thermo-catalytic reac-tions due to their impressive performance and *** the past decade,well-designed carbon catalysts with tunable structures and heteroatom groups coupled with various characterization techniques have proposed numerous reaction ***,active sites,key intermediate species,precise structure-activity relationships and dynamic evolution processes of carbon catalysts are still rife with controversies due to the monotony and limitation of used experimental *** this Review,we sum-marize the extensive efforts on model catalysts since the 2000s,particularly in the past decade,to overcome the influences of material and structure limitations in metal-free carbon *** both nanomolecule model and bulk model,the real contribution of each alien species,defect and edge configuration to a series of fundamentally important reactions,such as thermocatalytic reactions,electrocatalytic reactions,were systematically *** with in situ techniques,isotope labeling and size control,the detailed reaction mechanisms,the precise 2D structure-activity relationships and the rate-determining steps were revealed at a molecular ***,the outlook of model carbon catalysis has also been proposed in this work.

关键词： Metal-free carbon catalysts Model catalyst Electrocatalysis Active site Reaction mechanisms

Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryos

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中华医学杂志(英文版) 2024年第16期137卷 2024 Jul 12页

作者： Sun ling Li Jiahui Zeng Simiao Luo Qiangxiang Miao Hanpei Liang yunhao Cheng Linling Sun Zhuo Tai Wa Hou Han Yibing Yin yun Wu Keliang Zhang Kang Department of Reproductive Medicine Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou Guangdong China Guangzhou National Laboratory Guangzhou Guangdong China Department of Reproductive Medicine Jiangmen Central Hospital Jiangmen Guangdong China Department of Ophthalmology Dongguan People’s Hospital The First School of Clinical Medicine Southern Medical University Dongguan Guangdong China Institute for Artificial Intelligence in Medicine Faculty of Medicine Macau University of Science and Technology Macau Special Administrative Region China Wenzhou Eye Hospital Institute for Advanced Studies on Eye Health and Diseases Wenzhou Medical University Wenzhou Zhejiang China Kiang Wu Hospital Macau Special Administrative Region China Faculty of Business City University of Macau Macau Special Administrative Region China State Key Laboratory of Reproductive Medicine and Offspring Health Center for Reproductive Medicine Institute of Women Children and Reproductive Health and Key laboratory of Reproductive Endocrinology of Ministry of Education Shandong University Jinan Shandong China

Background: In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly ***: We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth ***: These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1%vs. 30.7% on day 3, 55.0%vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidenc

关键词： Artificial intelligence Fertilizationin vitro Embryo implantation Blastocyst Aneuploidy Neural networks, computer Live birth

Bibliometric analysis of research in epilepsy and comorbid depression from 2014 to 2023

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World Journal of Psychiatry 2024年第6期14卷 985-998页

作者： ling Chen Xiao-Hui He Xia-ling Li Juan Yang Hao Huang Department of Neurology The Affiliated Hospital of Zunyi Medical UniversityZunyi 563003Guizhou ProvinceChina Department of Neurology Xinqiao Hospital and the Second Affiliated HospitalArmy Medical University(Third Military Medical University)Chongqing 400010China

BACKGROUND Epilepsy and depression have complicated bidirectional *** study aimed to explore the field of epilepsy comorbid with depression in a bibliometric perspective from *** To improve our understanding of epilepsy and depression by evaluating the relationship between epilepsy and depression,bibliometric analyses were *** Epilepsy and depression-related publications from the last decade were retrieved from the Web of Science Core *** conducted bibliometric and visual analysis using VOSviewer and CiteSpace,examining authorships,countries,institutions,journals of publication,co-citations of references,connections between keywords,clusters of keywords,and keywords with citation *** Over the past ten years,we collected 1045 research papers focusing on the field of epilepsy and comorbid *** on epilepsy and depression have shown a general upward trend over time,though with some *** United States,with 287 articles,and the University of Melbourne,contributing 34 articles,were the top countries and institutions,*** addition,in the field of epilepsy and depression,Professor Lee,who has published 30 articles,was the most contributing *** hot topics pay attention to the quality of life in patients with epilepsy and *** We reported that quality of life and stigma in patients with epilepsy comorbid with depression are possible future hot topics and directions in the field of epilepsy and depression research.

关键词： Epilepsy Depression Bibliometrics VOSviewer CiteSpace Visualization analysis

Numerical and experimental investigation on hydraulic-electric rock fragmentation of heterogeneous granite

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International Journal of Mining Science and Technology 2024年第1期34卷 15-29页

作者： Xiaohua Zhu ling He Weiji Liu yunxu Luo Youjian Zhang Wuji Tang School of Mechatronic Engineering Southwest Petroleum UniversityChengdu 610500China School of Mechanical Engineering Sichuan University of Science and EngineeringYibin 643002China

Hydraulic-electric rock fragmentation(HERF)plays a significant role in improving the efficiency of high voltage pulse rock ***,the underlying mechanism of HERF remains *** this study,considering the heterogeneity of the rock,microscopic thermodynamic properties,and shockwave time domain waveforms,based on the shockwave model,digital imaging technology and the discrete element method,the cyclic loading numerical simulations of HERF is achieved by coupling electrical,thermal,and solid mechanics under different formation temperatures,confining pressure,initial peak voltage,electrode bit diameter,and loading ***,the HERF discharge system is conducive to the laboratory experiments with various electrical parameters and the resulting broken pits are numerically reconstructed to obtain the geometric *** results show that,the completely broken area consists of powdery rock *** the pre-broken zone,the mineral cementation of the rock determines the transition of type CⅠcracks to type CⅡand type CⅢ***,the peak pressure of the shockwave increased with initial peak voltage but decreased with electrode bit diameter,while the wave front time ***,increasing well depth,formation temperature and confining pressure augment and inhibit HERF,but once confining pressure surpassed the threshold of 60 MPa for 152.40,215.90,and 228.60 mm electrode bits,and 40 MPa for 309.88 mm electrode bits,HERF is ***,for the same kind of rock,the volume and width of the broken pit increase with higher initial peak voltage and rock fissures will promote ***,the electrode drill bit with a 215.90 mm diameter is more suitable for drilling pink *** research contributes to a better microscopic understanding of HERF and provides valuable insights for electrode bit selection,as well as the optimization of circuit parameters for HERF technology.

关键词： Hydraulic-electric rock fragmentation Shockwave Thermodynamics Microcracks Weak Linear Parallel Bond Model

Postpartum depression and partner support during the period of lactation:Correlation research and its influencing factors

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World Journal of Psychiatry 2024年第1期14卷 119-127页

作者： Ji-Ming Ruan ling-Juan Wu Department of Obstetrics and Gynecology Huzhou Maternity and Child Health Care HospitalHuzhou 313000Zhejiang ProvinceChina

BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and *** who are in close contact with parturient women play a key role in communication and emotional *** study explores the PPD support relationship with partners and its influencing factors,which is believed to establish psychological well-being and improve maternal partner *** To explore the correlation between PPD and partner support during breastfeeding and its influencing *** Convenience sampling was used to select lactating women(200 women)who underwent postpartum examinations at the Huzhou Maternity and Child Health Care Hospital from July 2022 to December 2022.A cross-sectional survey was conducted on the basic information(general information questionnaire),depression level[edinburgh postnatal depression scale(EPDS)],and partner support score[dyadic coping inventory(DCI)]of the selected ***’s correlation analysis was used to analyze the correlation between PPD and DCI in lactating *** affecting PPD levels during lactation were analyzed using multiple linear *** The total average score of EPDS in 200 lactating women was(9.52±1.53),and the total average score of DCI was(115.78±14.90).Dividing the EPDS,the dimension scores were:emotional loss(1.91±0.52),anxiety(3.84±1.05),and depression(3.76±0.96).Each dimension of the DCI was subdivided into:Pressure communication(26.79±6.71),mutual support(39.76±9.63),negative support(24.97±6.68),agent support(6.87±1.92),and joint support(17.39±4.19).Pearson’s correlation analysis demonstrated that the total mean score and individual dimension scores of EPDS during breastfeeding were inversely correlated with the total score of partner support,stress communication,mutual support,and cosupport(P<0.05).The total mean score of the EPDS and its dimensions were positively correlated with negative

关键词： Lactation period Puerpera Postpartum depression Partner support Correlation