Sedimentary Microfacies and Porosity Modeling of Deep-Water Sandy Debris Flows by Combining Sedimentary Patterns with Seismic Data： An Example from Unit I of Gas Field A, South China Sea

Sandy debris flow deposits are present in Unit I during Miocene of Gas Field A in the Baiyun Depression of the South China Sea. The paucity of well data and the great variability of the sedimentary microfacies make it difficult to identify and predict the distribution patterns of the main gas reservoir, and have seriously hindered further exploration and development of the gas field. Therefore, making full use of the available seismic data is extremely important for predicting the spatial distribution of sedimentary microfacies when constructing three-dimensional reservoir models. A suitable reservoir modeling strategy or workflow controlled by sedimentary microfacies and seismic data has been developed. Five types of seismic attributes were selected to correlate with the sand percentage, and the root mean square （RMS） amplitude performed the best. The relation between the RMS amplitude and the sand percentage was used to construct a reservoir sand distribution map. Three types of main sedimentary microfacies were identified： debris channels, fan lobes, and natural levees. Using constraints from the sedimentary microfacies boundaries, a sedimentary microfacies model was constructed using the sequential indicator and assigned value simulation methods. Finally, reservoir models of physical properties for sandy debris flow deposits controlled by sedimentary microfacies and seismic inversion data were established. Property cutoff values were adopted because the sedimentary microfacies and the reservoir properties from well-logging interpretation are intrinsically different. Selection of appropriate reservoir property cutoffs is a key step in reservoir modeling when using simulation methods based on sedimentary microfacies control. When the abnormal data are truncated and the reservoir properties probability distribution fits a normal distribution, microfacies-controlled reservoir property models are more reliable than those obtained from the sequence Gauss simulation method. The cutoffs for effective porosity of the debris channel, fan lobe, and natural levee facies were 0.2, 0.09, and 0.12, respectively; the corresponding average effective porosities were 0.24, 0.13, and 0.15. The proposed modeling method makes full use of seismic attributes and seismic inversion data, and also makes the property data of single-well depositional microfacies more conformable to a normal distribution with geological significance. Thus, the method allows use of more reliable input data when we construct a model of a sandy debris flow.

How did women’s education and differential family planning policies shape transition to second and third births in historical China? New evidence from micro data

The influence of China’s family planning policies on fertility transition is widely acknowledged in research studies.However,little is known about how improve-ments in women’s education have shaped reproductive decisions of Chinese women across different family planning regimes,particularly at micro level.This study uses retrospective pooled birth history data from five consecutive population and fam-ily planning surveys collected over the period 1982-2006 to systematically examine the interrelationship between family planning policies and women’s education,and their interactive effect on the second and third birth transitions.We hypothesize that family planning policies had a differential influence on educational groups in reduc-ing the transition to second and third births.The results from discrete time com-plementary log-log survival models provide strong evidence of differential repro-ductive behavior of education groups across time in China,and the simultaneous influence of women’s education and family planning policies in lowering risks to higher parities.The rates of progression to second and third births tend to be lower after the introduction of rigid family planning policies,and more importantly,the policy impact persisted even after adjusting for demographic and socioeconomic factors.The increase in women’s education overall had a depressing effect on transi-tion to higher parities,and family planning policies implemented overtime have had differential effects on women from different educational groups.The findings show that both family planning policies and women’s education have been instrumental in shaping fertility behavior in China.

SCMR:a semantic-based coherence micro-cluster recognition algorithm for hybrid web data stream

Data aggregation from various web sources is very significant for web data analysis domain.In addition,the recognition of coherence micro cluster is one of the most interesting issues in the field of data aggregation.Until now,many algorithms have been proposed to work on this issue.However,the deficiency of these solutions is that they cannot recognize the micro-cluster data stream accurately.A semantic-based coherent micro-cluster recognition algorithm for hybrid web data stream is proposed.Firsdy,an objective function is proposed to recognize the coherence micro-cluster and then the coherence micro-cluster recognition algorithm for hybrid web data stream based on semantic is raised.Finally,the effectiveness and efficiency evaluation of the algorithm with extensive experiments is verified on real music data sets from Baidu inc.and Migu inc.The experimental results show that the proposed algorithm has better recall rate than the non-semantic micro cluster recognition algorithm and single source data flow micro cluster recognition algorithm.

Low-cost Remote Rain and Stream Data Acquisition System for Mapping of Potential Micro-Hydro Sites

The stream and rain data acquisition system presented in this paper makes the mapping of hydro potentials in the region or of the country economically and practically possible. Moreover, it can also serve as a flood warning system.

Web-Based Data Management and Sharing System for Electron Proke Micro-analysis

This paper proposes a useful web-based system for the management and sharing of electron probe micro-analysis( EPMA)data in geology. A new web-based architecture that integrates the management and sharing functions is developed and implemented.Earth scientists can utilize this system to not only manage their data,but also easily communicate and share it with other researchers.Data query methods provide the core functionality of the proposed management and sharing modules. The modules in this system have been developed using cloud GIS technologies,which help achieve real-time spatial area retrieval on a map. The system has been tested by approximately 263 users at Jilin University and Beijing SHRIMP Center. A survey was conducted among these users to estimate the usability of the primary functions of the system,and the assessment result is summarized and presented.

道路环形交叉口机动车冲突风险区识别模型研究

为定量识别城市非信控环形交叉口区域内的机动车冲突风险易发生点,降低环形交叉口的事故发生率,本文构建针对非信控环形交叉口机动车冲突风险识别模型。首先,利用无人机采集高精度、连续的多车辆轨迹视频,结合Kinovea视频运动分析软件实现运行车辆状态识别与跟踪,并记录车辆每一帧的运动数据;其次,基于交通冲突识别指标TTC(Time to Collision),提出适应环形交叉口道路线形特征的车辆TTC计算方法,并使用累计频率法确定严重、一般和轻微冲突的阈值分别为1.2,2.8,4.4 s;最后,通过绘制高峰和平峰交通冲突空间异步图,并结合交通冲突数和严重冲突率,对环形交叉口的36个子区段进行交通冲突风险等级评定。研究结果显示:在高峰时段,某一子区段的平均交通冲突发生次数约为15次,严重冲突率为17.45%;在平峰时段,某一子区段的平均交通冲突发生次数约为8次,严重冲突率为8.28%。重度风险区域在高峰时段占比达到50%,而在平峰时段为8.33%,这些重度风险区域主要集中在交织区段。因此,环形交叉口在高峰时段且位于交织区段的情况更易发生交通事故。本文研究成果有助于交通管理部门了解环形交叉口在不同时段和区段上的交通冲突情况和特征,以便采取相应的预警和管理措施。

基于微服务和物联网的配电网智能计量架构

为实现电力系统向智能电网模式的演进,依赖于配电网(DN)的自动化,需要新的基础设施、技术和应用。提出一种基于微服务和物联网(IoT)的配电网自动化的智能计量设施,支持各种有助于实现配电网自动化和管理的服务。首先,在测量基础设施中对特定硬件、设备和底层协议进行抽线;然后,利用消息队列遥测传输(MQTT)作为以事件为导向的发布/订阅协议来实现,同时支持发布/订阅和请求/响应机制来实现;最后,使用以大数据为导向的可群集软件模块来实现可扩展性。分布式状态估计(SE)和网络拓扑重构算法验证了智能计量设施支持交互和协同操作。

数字普惠金融服务小微企业融资研究--以全国首个小微企业数字征信实验区为例

数字普惠金融将数字技术与普惠金融深度融合,为纾解小微企业融资困境提供了可行的新路。根据对全国首个小微企业数字征信实验区的案例剖析和区内588家小微企业的问卷调查结果,小微企业融资行为符合普惠金融“短、小、频、急”的典型特征,融资方式以信用贷款为主,资金用途多样,但是信息和信用不对称制约其融资可得性。实验区以服务小微企业为中心,构建综合金融服务体系、全国首个区块链数字征信平台、金融科技创新监管试点“三位一体”的运行模式,充分发挥了数字普惠金融的赋能效应。但是,要复制、推广实验区的建设经验,仍面临一些制约因素,因此要完善相关法律法规,稳步扩大金融科技创新监管试点,深化数字技术和数据要素融合应用,探索构建全国互联互通的数字征信平台和数字普惠金融“元宇宙”,以期在更大范围更好地服务小微企业融资和实体经济高质量发展。

中国农户家庭体育消费影响因素与政策建议——基于2017年中国家庭金融调查的实证分析

基于2017年中国家庭金融调查(CHFS)中超过2万户农户家庭的收入、资产和消费数据,借助Tobit模型的实证分析工具,对中国农民家庭体育消费的影响因素进行量化研究。研究发现,收入、资产、工作类型和居住地均会影响农户家庭体育消费,具体而言:(1)收入增加会促进农户体育消费,且收入弹性大于1,表明体育消费对农户而言是高档品。从细分类型看,财产性收入和转移性收入对体育消费促进作用显著,但工资收入和务农收入无显著作用。(2)资产规模同样正向促进农户体育消费,5种细分资产类型均正向促进农户体育消费。(3)从城乡比较看,工资收入会显著促进城镇家庭体育消费,农业收入会显著降低城镇家庭体育消费;土地资产显著促进农户体育消费,但对城镇家庭没有影响。(4)户主从事非农工作和进城生活(务工)均会显著增加家庭体育消费。

煤层气富集区遥感勘查研究进展与展望

煤层气是一种自生自储式非常规清洁能源,它赋存于煤层及其围岩中。传统勘查方法费时费力,而遥感技术提供了煤层气富集区快速勘查的新途径。煤层气富集区遥感勘查的基本原理是基于典型地物波谱特征与富集区烃微渗漏导致的地表物体异常波谱特征,包括岩矿蚀变、植被异常和热异常等波谱特征的对比,结合煤田地质、地震、大地电磁等物探方法获取的数据,进行多源信息提取与综合分析,逐步查明煤层气富集区分布范围与含气特性。文章综述了煤层气富集区烃类物质渗漏与地表岩矿波谱和植被波谱异常的响应机制,以及基于地表岩矿波谱与植被波谱参数反演的多种方法与地物波谱异常反演在煤层气潜在富集区的勘查应用;阐述了含煤层气地层导致地表热异常的不同解释与提高地表温度反演准确率的主要方法与应用。未来,遥感与煤田地质数据、地震探测和大地电磁探测相结合,开展立体多元信息分析与信息提取,将成为实现煤层气富集区低成本快速勘查的主要途径。

微表情面部肌电跨模态分析及标注算法

长久以来,微表情的小样本问题始终制约着微表情分析的发展,而小样本问题归根到底是因为微表情的数据标注十分困难。本研究希望借助面部肌电作为技术手段,从微表情数据自动标注、半自动标注和无标注三个方面各提出一套解决方案。对于自动标注,提出基于面部远端肌电的微表情自动标注方案;对于半自动标注,提出基于单帧标注的微表情起止帧自动标注;对于无标注,提出了基于肌电信号的跨模态自监督学习算法。同时,本研究还希望借助肌电模态,对微表情的呈现时间和幅度等机理特征进行拓展研究。

压电微动台数据驱动迭代前馈补偿与自适应抑振

为消除压电驱动柔性微定位平台高精控制对平台不确定动力学模型的依赖性,提出了一种数据驱动无模型迭代前馈补偿和自适应陷波滤波结合的控制方法来提高平台的跟踪性能。首先,建立了数据驱动无模型迭代前馈控制器,提高系统对噪声和其他干扰的鲁棒性,同时,证明了在无模型迭代前馈作用下,连续参考输入跟踪误差的有界性和闭环系统的稳定性;其次,构建了自适应陷波滤波器来消除平台谐振的影响,对误差信号进行快速傅里叶变换,并设计谐振频率在线提取算法,实现对陷波滤波器参数的在线实时整定,来进一步提升轨迹跟踪精度;最后,利用所设计的无模型迭代前馈控制器和自适应陷波滤波器对压电微动台进行轨迹跟踪实验。实验结果表明:在跟踪三角波信号时,与单独比例-积分(Proportional Integral,PI)控制和结合自适应陷波滤波器的PI控制相比较,最大跟踪误差分别减小78.25%和70.83%,能够有效提升平台的稳定性和跟踪精度。

气象数据中台设计与应用研究

文章分析了气象大数据建设过程中的经验和问题,借鉴阿里巴巴的“中台”理念,设计了一种气象数据中台架构。通过数据模型化和服务组件化,形成重庆气象高效敏捷的数据服务能力,帮助用户快速“找到”数据、“应用”数据、“用好”数据。相对传统的数据平台,可提高数据服务的开发效率、降低应用建设的复杂度、提升业务功能的复用能力,对更好地支撑重庆气象业务技术体系具有重要意义。

基于微服务架构的智慧供热分布式数据中台研究

随着城市集中供热系统的规模不断扩大,热源种类、管网密度、复杂程度都在不断增加,数据种类纷繁复杂且规模巨大,供热系统调度中海量的数据处理依然依靠大量的人工,导致系统运行低效,系统调度困难、供需不平衡、综合成本较高等问题,因此设计合适的中台显得尤为重要。结合大连某供热公司的项目,构建了一个基于微服务架构的智慧供热分布式数据中台,实现了数据汇聚整合、数据提纯加工、数据服务的可视化等,使企业的员工能够方便高效地使用数据,且系统能够长期稳定工作。

固体力学跨尺度计算若干问题研究

本文展示了固体力学领域跨尺度计算的若干问题和研究概况。(1)建立位错动力学与有限元耦合DDD-FEM的计算模型,实现了能够基于纳米尺度离散位错运动机制计算分析连续介质有限变形晶体塑性问题,提出微纳尺度(200 nm~10μm)晶体塑性流动应力解析公式,结合试验数据揭示了在无应变梯度下强度和变形的尺寸效应;(2)建立具有微相分离结构的纳米尺度粗粒化分子动力学模型CG-MD,计算获得聚脲材料在时域和频域下的存储模量和损耗模量,通过动态加载分析的DMA试验和超声波试验的数据验证,解决了连续介质尺度下微相分离高分子共聚物的设计难题;(3)通过数据驱动关联高分辨率的微米尺度CT影像和临床低分辨率的毫米尺度CT影像的特征值,建立了围关节松质骨小梁的等效模量和结构张量,为骨组织增材制造点阵结构设计和实现个性化骨缺损重建奠定了基础。

基于大数据微观模拟的企业所得税优惠政策评估

本文基于全国企业汇算清缴大数据及现行企业所得税税制结构和课征办法,建立能够精准追踪企业所得税具体政策措施对企业属性及行为反应微观归宿的微观模拟模型,并且应用模型对我国企业所得税优惠政策的执行效果进行研究。研究结果表明,企业所得税优惠政策可以显著改善企业经济状况,为优化我国经济结构和稳定社会发展提供了助力,对促进我国企业发展、拉动经济增长、稳定社会就业起到了积极的作用,实际作用效果与政策目标基本吻合。未来需要通过持续深化企业所得税改革、适度引导企业的税收政策行为反应等途径,进一步强化企业所得税改革对经济高质量发展的促进作用。

基于多源数据的城市社区微空间更新品质研究——以盐城市东台老城区为例

随着我国城市发展迈入城市更新阶段,城市更新的任务和目标也随之变化与迭代,社区微空间作为与社区居民日常活动息息相关的城市微型公共空间,是当下城市微更新的重要研究对象。文章以江苏省东台老城区社区微空间为研究对象,通过建成环境评价及多源数据在社区微空间更新中的应用,构建社区微空间更新评价体系,对社区微空间更新后的品质进行量化分析研究。