中国内蒙古下白垩统白彦华群胜利组的首个同位素年龄

由于丰富的煤炭资源,内蒙古的下白垩统地层具有重要的经济价值.但长期以来相关地层一直缺乏同位素测年研究,影响了区域地层对比工作的开展.本文对内蒙古锡林浩特下白垩统胜利组煤层夹层中的火山灰锆石应用LA-ICP-MS进行U-Pb法测年,结果显示胜利组5煤(层)和6煤(层)形成于大约109-107 Ma(早白垩世阿尔布期).这是胜利组所属的下白垩统白彦华群的首个同位素年龄,有助于我国东北地区与全球同时代地层对比工作的开展.     

Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province,Vietnam

Natural Hazards - Vietnam’s central coastal region is the most vulnerable and always at flood risk, severely affecting people’s livelihoods and socio-economic development. In...     

宣城地区龙潭组页岩沉积环境与有机质富集

安徽宣城地区上二叠统龙潭组海陆过渡相页岩不仅是我国下扬子区重要的烃源岩,也是目前我国页岩气勘探的重要层位之一。为研究海陆过渡相页岩沉积环境与有机质富集的关系,以港地1井和两个露头剖面为研究对象,系统开展了有机地球化学测试、有机岩石学研究、氩离子抛光—扫面电镜观察、元素地球化学分析等工作。结果表明:下扬子宣城地区龙潭组页岩沉积时期处于暖湿型气候,沉积水体处于氧化—贫氧状态,具有高的生物生产力和沉积速率。海陆过渡相富有机质页岩的形成,不是由单一因素所决定的,而是由古气候、水体氧化还原性质、古生产力、沉积速率等多个要素相互配置与耦合的结果,这些因素都会直接或者间接地影响有机质的供给或者有机质的埋藏和保存。其中,温湿型气候不仅有利于陆源高等植物的生长,而且会促进生物地球化学作用,使得母岩化学风化程度加大,向水体输入的营养物质增多,有利于菌藻类等低等水生生物勃发,高等植物碎屑和低等水生生物共同为富有机质页岩沉积提供了丰富的有机质来源。宣城地区晚二叠世沉积时期,较高的古生产力为海陆过渡相富有机质页岩的形成提供了良好的物质基础,有机质产生后进一步埋藏和保存,虽然富氧水体环境不利于有机质保存,但高的沉积速率可以缩短有机质在富氧水体中暴露的时间,使得有机质来不及被氧化或分解,也可造成有机质的富集。     

基于DBSCAN算法的孔深测量与地层反演理论研究

论文针对地质勘探取心工况复杂、钻进深度大、事故发生率高、岩性复杂、钻进参数难以获取、无法实时掌握钻进状态的难题,在充分调研现有工况识别技术的采集原理、功能种类、现场实测的基础上,结合钻探智能化、自动化的发展方向,运用硬件与软件结合的思想,设计了实时测量钻探参数的方案。论文首次提出使用DBSCAN（针对噪声空间基于分布密度进行聚类的算法）密度聚类法分析钻进参数,结合光电编码器增量的正负性进行工况判别,以获取钻头位置以及钻孔深度。该方案可以判别钻进状态,获取钻进工艺参数,将测量数据作为所钻地层的可钻参数来反演地层。钻机的自动化、智能化研究能获取大量地层资料,有利于推进钻进工艺学发展,实现从经验钻探到智能钻探进的突破。同时,为智能钻进系统奠定基础。     

井筒电加热改善水平井蒸汽吞吐效果机理实验

针对稠油水平井蒸汽吞吐面临入井渗流阻力大、产量水平低、吞吐递减率高、采收率偏低等问题,提出了电加热辅助水平井蒸汽吞吐方法。首先根据水平井蒸汽吞吐过程中的电加热与蒸汽复合传热特征,建立了电加热辅助蒸汽吞吐三个阶段的(注汽阶段、焖井阶段、生产阶段)储层升温解析模型,在此基础上,设计并开展了电加热辅助蒸汽吞吐和常规水平井吞吐的宏观比例物理模拟对比实验,通过实验验证了解析公式,揭示电加热改善水平井吞吐效果关键机理,并利用实际典型井模型进行了潜力预测。结果表明:电加热协同蒸汽吞吐,具有注蒸汽阶段实现水平段均匀加热升温、焖井阶段持续热补偿加热近井地带、生产阶段降低原油入井渗流阻力并提高吞吐产量的关键机理。典型井组预测电加热辅助水平井吞吐可提高吞吐采收率9.4%,油汽比从0.14提高到0.23,在水平井蒸汽吞吐油藏具有重要应用潜力。     

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines. To evaluate the quality of blasting, the size of rock distribution is used as a critical criterion in blasting operations. A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental damage. Therefore, this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters, as well as the efficiency of blasting operation in open mines. Accordingly, a nature-inspired algorithm (i.e., firefly algorithm – FFA) and different machine learning algorithms (i.e., gradient boosting machine (GBM), support vector machine (SVM), Gaussian process (GP), and artificial neural network (ANN)) were combined for this aim, abbreviated as FFA-GBM, FFA-SVM, FFA-GP, and FFA-ANN, respectively. Subsequently, predicted results from the abovementioned models were compared with each other using three statistical indicators (e.g., mean absolute error, root-mean-squared error, and correlation coefficient) and color intensity method. For developing and simulating the size of rock in blasting operations, 136 blasting events with their images were collected and analyzed by the Split-Desktop software. In which, 111 events were randomly selected for the development and optimization of the models. Subsequently, the remaining 25 blasting events were applied to confirm the accuracy of the proposed models. Herein, blast design parameters were regarded as input variables to predict the size of rock in blasting operations. Finally, the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench blasting. Among the models developed in this study, FFA-GBM provided the highest accuracy in predicting the size of fragmented rocks. The other techniques (i.e., FFA-SVM, FFA-GP, and FFA-ANN) yielded lower computational stability and efficiency. Hence, the FFA-GBM model can be used as a powerful and precise soft computing tool that can be applied to practical engineering cases aiming to improve the quality of blasting and rock fragmentation.     

那曲地区植被NDVI时空变化及成因分析

利用GIS和遥感技术方法分析了2000—2014年那曲地区植被归一化指数(NDVI)的时空分布特征和变化趋势,探讨了NDVI与几种气象因子的关系。结果表明:空间上,研究区植被NDVI在空间上呈自西向东、自南向北逐步增大,高海拔地区小于低海拔地区的分布特点;时间上,近15a的NDVI总体上呈不显著性下降趋势,NDVI变化可以分为3个阶段,分别为2000—2005年较好,2006—2008年略差,2009—2014年好转。植被面积变化趋势表现为西北部植被处于稳定状态的面积居多,变化较明显的区域集中在中部和东南部地区的人口密集区,改善和退化区域呈现交错出现的特点。那曲地区植被变化的主要影响因素为降水量和热量因素引起的,人类活动在较短时间尺度上对植被也有较大影响。     

Geoacoustic Inversions of Horizontal and Vertical Line Array Acoustic Data From a Surface Ship Source of Opportunity

The application of an inversion methodology produces the first demonstration of a simultaneous solution for geoacoustic and source track parameters from acoustic data collected in a shallow-water, sandy sediment environment. Inversion solutions from data collected in the 2006 Shallow Water Experiment (SW06) are extracted from noise measurements of a surface ship source on an L-array. The methodology includes a screening algorithm to determine a set of frequencies for the inversion data. In addition, the methodology assesses the accuracy of the inversion solution and incorporates an estimation of parameter value uncertainties. The solution from the inversion of the horizontal component of the L-array data from the surface ship source before its closest point of approach (CPA) is used to construct modeled propagation loss for comparison with observed received level (RL) structure as the source departs from CPA. Inversion of the data from a single element in the vertical component of the L-array produces a solution that agrees with the solution obtained from the inversion of horizontal subaperture data. Also, modeled transmission loss (TL) structure obtained from the single-element inversion solution reproduces the depth dependence of the RL structure observed at other elements of the vertical component of the L-array.      

Slow quasigeostrophic unstable modes of a lens vortex in a continuously stratified flow

This work addresses the linear dynamics underlying the formation of density interfaces at the periphery of energetic vortices, well outside the vortex core, both in the radial and axial directions. We compute numerically the unstable modes of an anticyclonic Gaussian vortex lens in a continuously stratified rotating fluid. The most unstable mode is a slow mode, associated with a critical layer instability located at the vortex periphery. Although the most unstable disturbance has a characteristic vertical scale which is comparable to the vortex height, interestingly, the critical levels of the successively fastest growing modes are closely spaced at intervals along the axial direction that are much smaller than the vortex height.     

A history of breaking laws—Social dynamics of non-compliance in Vietnamese marine fisheries

Whether or not fishers comply with regulation depends on the economic and social context in which they operate their vessels. This is how conventional theory explains the phenomenon of non-compliance. It treats state–community interaction processes not as direct causes for non-compliance but rather as background conditions shaping individual fishers’ perception and decisions for action. This paper argues that conventional theory fails to include the dynamics of tempo-relational processes between state and communities, which explains collective patterns of non-compliance in fisheries. The paper addresses this hiatus in the literature, using a process-sociological approach to analyse non-compliance in Vietnamese marine fisheries. The analysis highlights that Vietnamese marine fisheries are mainly regulated through informal networks of trust and mistrust, which function through their interplay with the highly centralised and formalised Vietnamese state. Based on this assessment, the paper concludes that outcomes of processes of the dynamic social interplay between state and communities are semi-dependent on individual perception and action, and as such have a causal effect of their own on patterns of non-compliance in fisheries.