低渗致密砂岩气田储层损害评价及保护措施

储层孔隙类型、孔隙结构、粘土矿物类型和含量等是造成气层受伤害的潜在因素 ,而外来固相、滤液以及生产或作业压差、生产时间等工程因素也可造成或加重对气层的伤害程度 ,因此 ,低渗致密气田 (藏 )的开发效果在很大程度上依赖于开发技术水平的提高。应用岩心评价实验、时间推移测井、生产测井以及试井等方法 ,评价了河南东濮凹陷白庙、文 2 3等气田低渗致密砂岩储层的敏感性及与外来液的配伍性 ,分析了导致或加重对气层造成伤害的工程因素。在气田开发的全过程中 ,有针对性地制定出对气层进行保护的配套措施 ,减少了对储层的伤害 ,充分发挥了气层的潜力 ,提高了气田的开发效果 ,也为同类气田提供了借鉴。     

Are peatlands in different states with respect to their thermodynamic behaviour? A simple test of peatland energy and entropy budgets

Whilst all ecosystems must obey the second law of thermodynamics, these physical bounds and controls on ecosystem evolution and development are largely ignored across the ecohydrological literature. To unravel the importance of these underlying restraints on ecosystem form and function, and their power to inform our scientific understanding, we have calculated the entropy budget of a range of peat ecosystems. We hypothesize that less disturbed peatlands are ‘near equilibrium’ with respect to the second law of thermodynamics and thus respond to change by minimizing entropy production. This ‘near equilibrium’ state is best achieved by limiting evaporative losses. Alternatively, peatlands ‘far-from-equilibrium’ respond to a change in energy inputs by maximizing entropy production which is best achieved by increasing evapotranspiration. To test these alternatives this study examined the energy balance time series from seven peatlands across a disturbance gradient. We estimate the entropy budgets for each and determine how a change in net radiation (ΔR_n) was transferred to a change in latent heat flux (ΔλE). The study showed that: (i) The transfer of net radiation to latent heat differed significantly between peatlands. One group transferred up to 64% of the change in net radiation to a change in latent heat flux, while the second transferred as little as 27%. (ii) Sites that transferred the most energy to latent heat flux were those that produced the greatest entropy. The study shows that an ecosystem could be ‘near equilibrium’ rather than ‘far from equilibrium’.     

Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.     

青岛多种天气下生物气溶胶中细菌群落特征

为探究雾、霾、沙尘等多种天气下生物气溶胶中细菌群落结构特征,于2017年12月-2018年4月采集了青岛晴天和多种特殊天气下的大气生物气溶胶样品,运用16 S rRNA高通量测序方法分析了样品中细菌群落结构.结果表明,在雾、霾、沙尘天均检测到对人体健康存在潜在危害的条件致病菌,其中变形菌门(Proteobacteria...     

在役公路梁式桥综合震害等级预测研究

为客观预测在役公路梁式桥综合震害状况,考虑在役桥梁在运营期存在的病害问题,从压力和承压两方面建立在役公路梁式桥综合震害预测评价指标体系.以桥梁作为承灾体,建立在役公路梁式桥综合震害物元可拓模型,运用熵权法进行赋权,确定桥梁的综合震害状况.以一座在役梁式桥为例,运用上述模型确定算例的综合震害状况.研究结果表明,该桥的综合...     

基于三角模糊数随机模拟的地下水环境系统综合风险评价模型

采用随机模拟方法模拟三角模糊数,把三角模糊数及函数间运算简化为普通的实数之间运算,建立基于三角模糊数随机模拟的地下水环境系统综合风险评价模型(ARA-SSTFN)。结果说明:以置信区间形式表示的ARA-SSTFN评价结果,比现有常规方法结果提供评价结果可靠性方面更多信息,能反映受多种不确定性因素综合影响的地下水环境系统综合风险评价客观实际情况;ARA-SSTFN在流域水资源、水环境和水旱灾害等有随机性、模糊性和数据资料不精确等多种不确定性因素综合作用的各种资源环境系统综合风险评价问题中有推广应用价值。     

基于3S技术的野生动物生境评价与保护研究——以高黎贡山羚牛为例

在3S技术和数理统计分析技术支持下,应用羚牛行为生态学研究成果,在研究羚牛生境分布与空间格局的基础上,通过空间分析,开展高黎贡山北段羚牛生境适宜性评价与保护研究。研究结果表明:适宜羚牛生存的生境面积有限,并有逐年减少的趋势,为有效保护高黎贡山羚牛,有必要加强羚牛现有生境保护,尤其是最适宜生境的保护;消除羚牛生境阻隔因素,增强生境连通性。     

基于主成分神经网络的台风灾害经济损失评估

本研究建立了浙江省台风灾害直接经济损失评估模型。把浙江省台风灾害直接经济损失资料换算成直接经济损失指数,运用主成分分析法对表示致灾因子、孕灾环境与承灾体的评估因子进行数据处理,提取主成分作为BP神经网络模型的输入,从而建立评估模型。模型历史拟合结果和实际一致。在2007年和2008年影响浙江省的5个台风的实际评估中,强台风"Vipa"灾后评估值比实际值偏大2.16,其余4个台风灾后评估值比实况偏大0.2~0.7,反映了人们对影响大的台风防灾减灾工作的重视和防灾减灾效果。根据台风开始影响时过程风雨预报值进行预评估,过程风雨预报值较准确的台风,预评估结果和灾后评估值一致;过程风雨预报值误差较大的台风,预评估效果较差。因此,该模型可用于实际台风灾害直接经济损失评估,提高台风影响前风雨预报准确率是提高预评估准确率的关键。     

Numerical homogenization-based seismic assessment of an English-bond masonry prototype: Structural level application

A multiscale strategy is evaluated at a structural level for the analysis of unreinforced masonry structures. The mechanical characterization of the masonry is deduced from homogenization-based micro-scale finite element (FE) models. The derived data are here employed at a structural level via a discrete FE model. The discrete FE model is composed of quadrilateral rigid plates interconnected through vertical and horizontal interfaces. On the interfaces, between adjoining discrete elements, a model that accounts for the in- and out-of-plane behavior of masonry, with damage and plasticity, is adopted. Such interfaces represent the material pre- and post-peak regimes, its orthotropy, and, depending on the micro-model assumed, account by three-dimensional shear effects that are especially important for multi-leaf walls and complex regular textures. The discrete model has been implemented in an advanced structural analysis software where powerful built-in features as the arc-length method, line-search algorithm, and implicit or explicit solver schemes are available. The multi-scale model is applied for the dynamic study of a small English-bond masonry house prototype subjected to a series of consecutive earthquake records. Detailed comparisons between the experimental and numerical data are presented, including the results obtained through a continuous total strain rotating crack model. Quasi-static and dynamic analyses are conducted. Results demonstrate that when enough experimental information is available on the masonry components under tension, shear, and compression regimes, the approach predicts well the seismic structural response in terms of time-history displacements, seismic capacity, and damage patterns. The required computational cost (CPU time) is very attractive.     

大气环流模式（GCMs）在东南诸河流域的适用性评价

采用秩评分方法,选取NCEP再分析资料作为“实测”依据,以10个统计特征值为基础,评估了21个GCMs对东南诸河流域17个气候要素的模拟效果．结果显示：气候变量表现出不同的统计特征,GCMs对不同气候变量的模拟效果并不一致．与地面气象站点实测值对比,CSIRO：MK30、GFDL：CM21、GFDL：CM20、INM：...