软刚臂单点系泊系统静力特性分析     

李鹏  孙丽萍  马刚  马荣太  王宏伟 《海洋工程》2022,40(2):26-35

软刚臂系泊系统是一种利用压载质量为浮式生产储油装置(FPSO)提供回复力的单点系泊方式。为快速准确地评估多铰接组成的软刚臂系统的受力状态,避免应用高复杂度的有限元软件,进而快速完成优化设计等任务,建立一种静力计算方法十分有必要。因此,针对由刚臂(YOKE)、柔性系泊腿和压载舱组成的刚柔多体系统,以分解组合的方式,提出一种二维静力计算方法,用以研究FPSO软刚臂系泊系统的静力特性。该方法主要依靠软刚臂的几何构型,在有限铰接约束下,形成非线性静力平衡方程,建立了压载舱式水上软刚臂单点系泊系统二维静力平衡计算算法。采用OrcaFlex、SESAM等软件开展了理论和数值对比分析,同时与系泊试验结果开展验证分析。对比结果表明,文中所提方法计算精度较高,可为软刚臂单点系泊系统的研究提供可靠支持。  相似文献   

黄河口现代海洋沉积高分辨率地震地层学研究   总被引：1，自引：0，他引：1  

张进  刘怀山  童思友 《海洋地质前沿》2004,20(5):1-5

本文运用地震地层学的知识,结合KDG2和S3钻孔资料,对2002年得到的现代黄河口地区的浅地层地震剖面进行了分析解释,共划分出中更新世以来11个地震地层单元,对每个地震地层单元进行了地震相的有关描述,对剖面上出现的地质现象给予了合理推测和详细分析,并结合相邻的钻孔资料,与全球冰期进行对比,构筑了黄河口地区晚第四纪以来地层的沉积模式。  相似文献   

可拓分类方法及其在流动单元分类中的应用   总被引：1，自引：1，他引：0       下载免费PDF全文

李琴  王国会  陈清华 《地球物理学进展》2007,22(6):1975-1979

可拓学是研究事物拓展的可能性和拓展规律与方法的科学,它可以广泛的应用于各种矛盾和对立问题的解决.可拓分类方法是利用可拓学理论对事物类型归属进行研究的动态分类方法.为了解决储层流动单元分类中现存误判率较高的问题,本文利用可拓分类方法对储层流动单元分类进行了研究,并把利用可拓分类获得的流动单元分类结果与灰关联聚类法判别分析结果进行了比较,发现可拓分类方法具有更强的判别能力,具有实用性强、误判率低的特点,判别准确率可比灰关联聚类法提高15%.这种方法不仅仅适用于流动单元分类,对于油气勘探开发的很多环节都将具有适用性.  相似文献   

基于流动单元的辫状河储层沉积微相研究——以王官屯油田官142断块侏罗系储层为例   总被引：3，自引：1，他引：2  

尹旭  彭仕宓  李海燕  王金鹏 《地质科技情报》2007,26(3):51-55

针对王官屯油田官142断块侏罗系厚储层的特点,以取芯井岩芯分析资料为基础,应用因子分析的方法,将厚约50 m的砂砾岩层划分为13个流动单元,分为A、B、C、D四类.在流动单元划分的基础上,根据各类沉积相标志,将目的层确定为辫状河沉积相,大面积分布的辫状水道、心滩为该区储层沉积的主体.为了进一步精细划分沉积微相,应用各类岩性与泥质体积分数、声波时差、电阻率的交汇图,建立了各类沉积微相-岩石相的岩性、物性、电性划分标准,实现了沉积微相的精细划分.其与流动单元的空间配置关系决定了剩余油分布的差异性.这种基于流动单元划分沉积微相的方法是依据储层渗流性质的差异将储层划分成符合其渗流规律的层系,便于同油田开发的生产层系相结合,从而满足层系开发调整的需要.  相似文献   

基于轨迹偏移算法的居民就医时空特征与空间格局分析     

丁威  邬群勇 《地球信息科学学报》2021,23(6):979-991

居民就医时空特征与空间格局反映了医疗设施的服务能力与布局合理性.本文以厦门岛为例,采用出租车轨迹数据,探讨了居民就医的时空特征和空间格局.论文提出了基于道路中心线的研究单元划分方法;提出OD轨迹偏移算法,更精细地提取出三级医院的就医OD数据,改善传统的缓冲区分析法中精确度较低的问题;对居民就医行为进行时空特征分析;基于...  相似文献   

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks     

Xin Wei  Lulu Zhang  Hao-Qing Yang  Limin Zhang  Yang-Ping Yao 《地学前缘(英文版)》2021,12(1):453-467

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.  相似文献   

Analysis of the contributions of topographic,soil, and vegetation features on the spatial distributions of surface soil moisture in a steep natural forested headwater catchment          下载免费PDF全文

Wei‐Li Liang  Sheng‐Lun Li  Feng‐Xu Hung 《水文研究》2017,31(22):3796-3809

Surface soil moisture has been extensively studied for various land uses and landforms. Although many studies have reported potential factors that control surface soil moisture over space or time, the findings have not always been consistent, indicating a need for identification of the main factors. This study focused on the static controls of topographic, soil, and vegetation features on surface soil moisture in a steep natural forested headwater catchment consisting of three hillslope units of a gully area, side slope, and valley‐head slope. Using a simple correlation analysis to investigate the effects of the static factors on surface soil moisture at depths of 0–20 cm at 470 points in 13 surveys, we addressed the characteristics of surface soil moisture and its main controlling factors. The results indicated that the mean of surface soil moisture was in the decreasing order of gully area > valley‐head slope > side slope. The relationship between the mean and standard deviation of surface soil moisture showed a convex‐upward shape in the headwater catchment, a negative curvilinear shape in the gully area, and positive curvilinear shapes at the side and valley‐head slopes. At the headwater catchment and valley‐head slope, positive contributions of soil porosity and negative contributions of slope gradient and saturated hydraulic conductivity were the main controlling factors of surface soil moisture under wetter conditions, whereas positive contributions of topographic wetness index and negative contributions of vegetation density were the main controlling factors of surface soil moisture under drier conditions. At the side slope underlain by fractured bedrocks, only saturated hydraulic conductivity and vegetation density were observed to be the controlling factors. Surface soil moisture in the gully area was mainly affected by runoff rather than were static features. Thus, using hillslope units is effective for approximately estimating the hydrological behaviours of surface moisture on a larger scale, whereas dependency between the main static factors and moisture conditions is helpful for estimating the spatial distributions of surface moisture on a smaller scale.  相似文献   

Reservoir rainfall‐runoff geomorphological model. II: analysis,calibration and validation     

M. Goñi  J. J. López  F. N. Gimena 《水文研究》2013,27(4):489-504

The model presented in the complementary document entitled, Reservoir rainfall‐runoff geomorphological model I: parameter application and analysis is analysed, calibrated and validated in this paper. The accuracy of simulated hydrographs is analysed by means of the efficiency defined by Nash and Sutcliffe. The sensitivity of the influence of five parameters on the behaviour of the model developed is analysed. Two different calibration and validation processes of Reservoir rainfall‐runoff geomorphological model are performed in Aixola watershed. Twelve events have been selected for calibrations and 25 for validations. With the first calibration and validation process, the model parameters are set by assigning the medians' values of the distributions obtained by means of the optimum results. The second process is performed by calibrating the most determinant parameter in the adjustment, which is the one that indicates the proportion of infiltrated water that is retained and does not flow; this is done with an empirical formulation depending on the event characteristics. Subsequently, the obtained results are validated. This last process has achieved very good adjustments in both calibrated and validated events. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Accounting for sparsely observed rainfall space—time variability in a rainfall—runoff model of a semiarid Tunisian basin/Prise en compte d'observations peu denses de la variabilité spatiotemporelle de la pluie dans une modélisation pluie—débit d'un bassin semi-aride Tunisien     

《水文科学杂志》2013,58(4)

Abstract

The management of water excesses and deficits is a major task in semiarid Mediterranean regions, where the variability of rainfall inputs is high at different time and space scales. Thus intense hydrometeorological events, which generate both potential resource and hazards, are of major interest. A simple method is proposed, with the example of the Skhira basin (192 km²) in central Tunisia, to account for the event space–time variability of rainfall in a rainfall–runoff model, in order to check its influence on the shape, magnitude and timing of resulting hydrographs. The transfer function used is a geomorphology-based unit hydrograph with an explicit territorial significance. Simulations made for highly variable events show the relevance of this method, seen as the first step of a downward approach, and its robustness with respect to the quality and the density of rainfall data.  相似文献   

Understanding and modeling basin hydrology: interpreting the hydrogeological signature     

R. E. Beighley  T. Dunne  J. M. Melack 《水文研究》2005,19(7):1333-1353

Basin landscapes possess an identifiable spatial structure, fashioned by climate, geology and land use, that affects their hydrologic response. This structure defines a basin's hydrogeological signature and corresponding patterns of runoff and stream chemistry. Interpreting this signature expresses a fundamental understanding of basin hydrology in terms of the dominant hydrologic components: surface, interflow and groundwater runoff. Using spatial analysis techniques, spatially distributed watershed characteristics and measurements of rainfall and runoff, we present an approach for modelling basin hydrology that integrates hydrogeological interpretation and hydrologic response unit concepts, applicable to both new and existing rainfall‐runoff models. The benefits of our modelling approach are a clearly defined distribution of dominant runoff form and behaviour, which is useful for interpreting functions of runoff in the recruitment and transport of sediment and other contaminants, and limited over‐parameterization. Our methods are illustrated in a case study focused on four watersheds (24 to 50 km²) draining the southern coast of California for the period October 1988 though to September 2002. Based on our hydrogeological interpretation, we present a new rainfall‐runoff model developed to simulate both surface and subsurface runoff, where surface runoff is from either urban or rural surfaces and subsurface runoff is either interflow from steep shallow soils or groundwater from bedrock and coarse‐textured fan deposits. Our assertions and model results are supported using streamflow data from seven US Geological Survey stream gauges and measured stream silica concentrations from two Santa Barbara Channel–Long Term Ecological Research Project sampling sites. Copyright © 2004 John Wiley & Sons, Ltd.  相似文献