Identifying influence areas with connectivity analysis – application to the local perturbation of heterogeneity distribution for history matching

Numerical representations of a target reservoir can help to assess the potential of different development plans. To be as predictive as possible, these representations or models must reproduce the data (static, dynamic) collected on the field. However, constraining reservoir models to dynamic data – the history-matching process – can be very time consuming. Many uncertain parameters need to be taken into account, such as the spatial distribution of petrophysical properties. This distribution is mostly unknown and usually represented by millions of values populating the reservoir grid. Dedicated parameterization techniques make it possible to investigate many spatial distributions from a small number of parameters. The efficiency of the matching process can be improved from the perturbation of specific regions of the reservoir. Distinct approaches can be considered to define such regions. For instance, one can refer to streamlines. The leading idea is to identify areas that influence the production behavior where the data are poorly reproduced. Here, we propose alternative methods based on connectivity analysis to easily provide approximate influence areas for any fluid-flow simulation. The reservoir is viewed as a set of nodes connected by weighted links that characterize the distance between two nodes. The path between nodes (or grid blocks) with the lowest cumulative weight yields an approximate flow path used to define influence areas. The potential of the approach is demonstrated on the basis of 2D synthetic cases for the joint integration of production and 4D saturation data, considering several formulations for the weights attributed to the links.     

Pico- and Nanophytoplankton Dynamics in Two Coupled but Contrasting Coastal Bays in the NW Mediterranean Sea (France)

Due to its ecological context, the Toulon bay represents a site of scientific interest to study temporal plankton distribution, particularly pico- and nanophytoplankton dynamics. A monthly monitoring was performed during a two-year cycle (October 2013–December 2015) at two coupled sampling sites, referred to as Little and Large bays, which had different morphometric characteristics and human pressures. Flow cytometry analyses highlighted the fact that pico- and nanophytoplankton were more abundant in the eutrophic Little bay. Furthermore, it evidenced two community structures across the Toulon bays: at times, a co-dominance of picoeukaryotes, nanoeukaryotes, Synechococcus 1-like cells and Prochlorococcus-like cells was found, and at other times, a Synechococcus 1-like dominated community existed. The alternation of one structure or the other can be explained by a combined action of temperature regime, nutrient conditions and degree of contamination. This study showed that pico- and nanophytoplankton dynamics were mainly driven by temperature in both sites, as in other temperate Mediterranean regions. Thus, the community was mainly composed of picoeukaryotes and Prochlorococcus-like cells in the winter (<?15 °C), while it was dominated by Synechococcus 1-like cells in the summer (>?20 °C). Additionally, the multiple human stressors in the Little bay seemed to affect the increase in abundance of Synechococcus 1-like cells as they were preferentially observed in the Large bay.     

断裂应力特征及其转折控油气规律研究——以南堡凹陷为例

为了分析断裂对油气宏观分布规律的控制作用,寻找有勘探潜力的油气富集带,文中以地质力学理论为指导,对南堡凹陷断裂组合应力特征、断裂转折及成因进行解析,并结合砂体分布和古今构造应力场分布特征,对南堡凹陷东营组油气分布规律和有利勘探区带做了研究。结果表明:断裂转折部位对油气分布有着控制作用,东营组已探明的油气主要在帚状断裂系、入字形断裂系、交织式断裂系转折轴部高曲率附近呈环带状分布;断裂转折凹面一侧控油性明显,从宏观上来看,油气具有沿沉积相带由细到粗的构造脊高点以及弧形断裂转折凹面一侧的选择性运移的特征,断裂转折轴部高曲率高孔、高渗域与高孔、高渗砂体沉积相带的有利对置决定了油气的主流向;综合研究指出,南堡凹陷北堡构造带是今后优势勘探的首要区带,其次是南堡构造带和南堡4号蛤坨构造带南部。     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

Ba同位素揭示上地幔中广泛存在再循环的沉积物

正Ba同位素由于具有在低温环境中分馏的特性,相比放射性同位素与微量元素,可以更好地示踪地球深部动力学过程中的再循环物质。研究表明沉积物与蚀变洋壳具有明显不同的Ba同位素组成(沉积物富集来自重晶石的Ba),使得Ba同位素成为研究表层与地幔储库间物质交换的有力工具。最近美国伍兹霍尔海洋研究所报道了来自全球洋中脊的21个MORB样品的Ba、Sr、Nd同位素和微量元素组成以及两个钻井中沉积物和蚀变洋壳     

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...     

硬土软岩滑坡近水平滑移的离心机模型试验研究

中国西北地区存在大量的新近纪硬土软岩滑坡灾害,为研究该类滑坡的变形特征,开展两组离心机模型试验模拟滑带劣化引起滑坡变形破坏的全过程,获取模型坡体土压及位移的实时变化曲线。研究表明,当软弱带强度降低时,硬土软岩滑坡的上部滑体呈块体状滑动,在快速运动滑动过程中,滑体呈现块状平移,不会彻底解体、液化;硬土软岩滑坡中前部出现水平应力集中,导致下伏滑带塑性流动变形,诱发其中前部上覆滑体的水平运动,并向滑坡后缘扩展,最终形成多级水平滑动。     

面向知识服务的地质资料管理转型研究

针对传统地质资料服务方式单一、数据共享困难等问题,提出了地质资料管理的转型方案.对面向知识服务的地质资料知识组织方式、知识检索以及知识管理理念如何指导地质资料服务等方面进行了探讨.以地质数据本体构建、基于关联数据技术的地质资料语义化组织以及基于地质大数据的知识检索模型搭建为转型手段,介绍了促进地质资料转型升级的语义化描...     

巴芬湾西部和格陵兰岛东部大气经向热量输送协同变化对夏季北极海冰的影响

利用欧洲中心气候再分析资料和美国国家冰雪数据中心北极海冰面积资料,分析了夏季北极海冰面积与前期大气经向热量输送年际变化的联系。结果表明：6月北半球中高纬大气的经向热量输送以瞬变热量形式为主,其中巴芬湾西部（B区）和格陵兰岛东部（G区）是瞬变热量向极区传输的两个通道,二者之间存在反位相的协同变化,且这种协同变化与夏季北极海冰面积变化密切相关。可能的机制为：6月,AD、AO和NAO三种北极大气环流型能够引起巴芬湾西部和格陵兰岛东部瞬变热量输送的协同变化,这种协同变化通过涡旋动力作用激发夏季极区大气表现为AD异常,同时影响途经区域的气温,从而通过热动力作用影响夏季北极海冰。将向极区输送的热量称为暖输送,从极区输出的热量为冷输送,则上述两个区域的瞬变热量协同输送可分为三种情况：B暖G冷、B冷G暖、B和G均冷,而B和G均暖的情况十分罕见。当B区向极区输入、G区输出热量时,有利于太平洋扇区和喀拉海的海冰偏少;当G区输入、B区输出热量时,利于喀拉海和拉普捷夫海海冰偏少;当B区和G区均输出热量时,利于波佛特海南部、喀拉海和拉普捷夫海海冰偏多,反之则相反。