基于逾渗模型的盐岩损伤与破坏研究

逾渗是一种分形模型,利用声发射点定位盐岩内部破坏网格来建立逾渗模型,可以分析三轴压缩条件下盐岩逾渗特征以及损伤演变发展。研究发现,各试样逾渗模型团簇(cluster)数与最大团簇占有率关系曲线斜率在70%应力峰值后基本相等,利用最大团簇沿试样轴向的延伸来描述裂缝的扩展规律,并通过最大团簇在轴向的延伸终点得到了各试样逾渗的临界破坏比率,它对于研究渗透陡增点非常重要。提出利用逾渗关联长度(关联长度?代表处于同一团簇中的两个点的平均距离)确定试样损伤起始点,并通过计算逾渗模型破坏比率得到损伤变量,它和基于AE振铃计数以及AE能量计算得到的损伤变量结果相近。研究结果表明,逾渗可以形象地表述岩石内部破裂过程和损伤情况,为研究岩石破坏失效及裂缝衍生发展提供了新的思路。     

BaFe0.4 Sn0.6 O3 /BaBiO3负温度系数复合热敏陶瓷阻抗分析

以BaBiO₃为导电相,BaFe_0.4Sn_0.6O₃为高阻相,采用固态反应法制备了不同BaBiO₃含量的BaFe_0.4Sn_0.6O₃/BaBiO₃负温度系数(NTC)热敏复合陶瓷.为获得在渗流阈值(即BaBiO₃含量为12 mol%)前后复合陶瓷的内部导电机理,对复合陶瓷进行了阻抗分析.分     

鄂尔多斯盆地姬塬地区长6储层渗流特征

对鄂尔多斯盆地姬塬地区长6储层特征、微观渗流特征及影响因素进行综合研究,为开发前期评价提供科学依据。以铸体薄片、扫描电镜等分析化验资料为基础,应用恒速压汞、核磁共振等储层评价新方法对岩石类型、孔隙结构进行分析。研究表明,该区长6储层物性较好,粒间孔发育,储层孔隙结构好,以小孔、微细喉为主,可动流体饱和度高,渗流能力强,有利于高效开发。储层孔隙结构、成岩相及储层润湿性是影响相渗特征的重要因素。     

一种带节点移动的手机蓝牙病毒传播模型

研究了手机节点的空间特性和移动特性,提出了一种新的手机蓝牙病毒传播模型。结合人类运动的行为模式,给出了移动环境下手机节点平均度的计算方法。结合渗流理论分析了蓝牙病毒大规模爆发的可能性,讨论了节点分布密度、蓝牙连接概率等参数对手机蓝牙病毒传播的影响。仿真结果表明,该模型较好地模拟了手机蓝牙病毒的传播过程,符合手机蓝牙病毒的传播规律。     

漫灌条件下内蒙孪井灌区土壤水分动态变化特征

根据内蒙孪井灌区土壤水分观测资料,本文讨论了漫灌条件下该区土壤水分的动态变化规律.由于观测期间降雨对该区影响很小,主要分析了春灌期、灌溉间隔期和作物生长期土壤水分的变化特点.春灌期,灌溉水主要补给上层砂壤土,对下层土壤的补给相对较小;经过2次灌溉过后,土壤含水率不断升高.就蓄水能力而言,粘砂土的蓄水能力最强,砂壤土次之,灌水后水分主要滞留在这2层.结合灌溉渗漏量分析,研究认为,该区灌溉模式使得灌溉渗漏量较大,造成水资源浪费的同时还会引起地下水位上升,致使灌区下游土壤次生盐渍化加重.因此,采用灌溉量较小的喷灌、滴灌等方式,可以避免产生深层渗漏,节约水资源.     

Melt impregnation phases in the mantle section of the Ślęża ophiolite (SW Poland)

The ultramafic member of the Variscan Ślęża Ophiolite (SW Poland) consists of heavily serpentinised, refractory harzburgites. Those located down to 1.5 km below paleo-Moho contain scarce grains or aggregates of olivine, clinopyroxene and spinel. Non-serpentine phases occur in various assemblages: M1—olivine (Fo 90.2–91.0%, NiO 0.38–0.47 wt.%) and rounded or amaeboidal aluminous chromite, rimmed by Al poor chromite and magnetite; M2—olivine (Fo 90.5–91.5, NiO 0.32–0.44 wt.%), olivine with magnetite inclusions (Fo 87.1–92.5, NiO 0.01–0.68 wt.%), rounded, cleavaged clinopyroxene I (Mg# 91.1–93.2, Al₂O₃ 3.00–4.00 wt.%, Cr₂O₃ 1.00–1.40 wt.%) and elongated clinopyroxene II and clinopyroxene from symplectites with magnetite (Mg# = 92.2–94.1, Al₂O₃ 2.20–3.20 wt.% and Cr₂O₃ 0.80–1.20 wt.%). Clinopyroxene is depleted in REEs relative to chondrite. The M3 assemblage consists of intergrown olivine (Fo 90.8–92.7, NiO 0.20–0.38 wt.%) and clinopyroxene (Mg# = 96.0–98.1, Al₂O₃ 0.00–1.00 wt.% and Cr₂O₃ 0.20–0.60 wt.%).The M1 assemblage contains chromite which records greenschist-facies metamorphism. Textural relationships and chemical composition of clinopyroxene occurring in the M2 assemblage are similar to those formed in oceanic spreading centres by LREE depleted basaltic melt percolation. Olivine occurring in M1 assemblage and part of that from M2 have composition typical of residual olivine from the abyssal harzburgites and of olivine formed in those rocks by melt percolation. The olivine with magnetite inclusions (M2 assemblage) and that from M3 record later deserpentinization event, which supposedly produced also M3 clinopyroxene. The non-serpentine phases from the Ślęża ophiolite mantle member, albeit very poorly preserved, document depleted basaltic melt percolation in the Variscan oceanic spreading centre.     

Soil water dynamics in cropped and uncropped fields in northern Greece using a dual-permeability model

Abstract

This study focuses on the calibration and validation of a dual-permeability soil water flow model for simulating soil water dynamics during the growing period in an irrigated corn field and during the rainy winter period in an uncropped field in northern Greece. The 1D numerical transient dual-permeability model MACRO 5.0 was used to describe the soil water dynamics, the water balance and deep percolation considering both macropore (two-domain) flow and non-macropore (one-domain) flow. The simulated results were compared with measurements of total soil water content at different depths in the soils. The values of the statistical criteria RMSE, E and CRM were better when macroporosity flow was considered; the soil water content showed better redistribution in the soil profile. The limited irrigation of the corn field during the growing period and the irrigation rates did not create conditions for deep percolation of water. In the uncropped field (bare soil), the wet conditions and the high rainfall during the simulation period created conditions for significant deep percolation, whether macropore flow was included in the model or not. The two-domain approach significantly affects the actual evaporation and the deep percolation. The difference between these two approaches is in the amount of deep percolation and the flow path of drainage flow. In the two-domain approach, most deep percolation follows the macropore domain (79.8%). The errors due to macropore parameter uncertainty and to the difficulties of measuring the macropore water content and flow were estimated by a sensitivity analysis for the more important parameters of the model.

Editor Z.W. Kundzewicz

Citation Antonopoulos, V.Z., Georgiou, P.E., and Kolotouros, C.A., 2013. Soil water dynamics in cropped and uncropped fields in northern Greece using a dual-permeability model. Hydrological Sciences Journal, 58 (8), 1748–1759.     

A reconstruction method for three‐dimensional pore space using multiple‐point geology statistic based on statistical pattern recognition and microstructure characterization

To predict the macroscopic properties (e.g., transport, electromagnetic, and mechanical properties) of porous media, it is necessary to have a three‐dimensional (3D) representation of porous media. We reconstruct the geologically realistic 3D structure of Fontainebleau sandstone based on the two‐dimensional (2D) thin sections by using the multiple‐point statistics method. For this method, the size of template is an important parameter that reflects the perceived scale of spatial structure of porous media. In this paper, we take advantage of entropy method to obtain the appropriate size of the template, which is proven to be correct and feasible. The reconstruction method proposed by us combines successive 2D MPS simulations as well as 3D MPS simulation, which takes account into the pore structure information (e.g., heterogeneity and connectivity) both intralayer and interlayer. This reconstruction method is tested on Fontainebleau sandstone for which 3D images from micro‐CT scanning are available. Applying local percolation theory analysis, this new approach can depict the expected patterns of geological heterogeneities. In addition, it also can well reproduce a high degree of connectivity of the pore space better than other reconstruction methods based on lower‐order statistics. Copyright © 2011 John Wiley & Sons, Ltd.     

Using statistical and artificial neural network models to forecast potentiometric levels at a deep well in South Texas

Reliable forecasts of monthly and quarterly fluctuations in groundwater levels are necessary for short- and medium-term planning and management of aquifers to ensure proper service of seasonal demands within a region. Development of physically based transient mathematical models at this time scale poses considerable challenges due to lack of suitable data and other uncertainties. Artificial neural networks (ANN) possess flexible mathematical structures and are capable of mapping highly nonlinear relationships. Feed-forward neural network models were constructed and trained using the back-percolation algorithm to forecast monthly and quarterly time-series water levels at a well that taps into the deeper Evangeline formation of the Gulf Coast aquifer in Victoria, TX. Unlike unconfined formations, no causal relationships exist between water levels and hydro-meteorological variables measured near the vicinity of the well. As such, an endogenous forecasting model using dummy variables to capture short-term seasonal fluctuations and longer-term (decadal) trends was constructed. The root mean square error, mean absolute deviation and correlation coefficient (R) were noted to be 1.40, 0.33 and 0.77 m, respectively, for an evaluation dataset of quarterly measurements and 1.17, 0.46, and 0.88 m for an evaluative monthly dataset not used to train or test the model. These statistics were better for the ANN model than those developed using statistical regression techniques.     

BZ28-2S油田Cr^3＋聚合物凝胶渗流特征及其调驱效果研究

渤海BZ28-2S油田具有油藏厚度大、平均渗透率高、非均质性严重、溶剂水矿化度较高和原油黏度较低等特点,注水开发过程中水窜现象比较严重,进而影响水驱开发效果,亟待采取调剖技术措施来改善水驱开发效果.针对BZ28-2S油藏储层特征、流体性质和及其井网特点,以黏度、阻力系数、残余阻力系数和采收率为评价指标,开展了Cr^3＋聚合物凝胶配方优选和调驱注入参数优化实验研究.结果表明,在目标油藏储层和流体条件下,交联剂Cr^3＋与聚合物分子链间可以发生交联反应,形成具有“分子内”交联结构特征、独特渗流特性和与储层适应性良好的Cr^3＋聚合物凝胶体系.与聚合物溶液相比较,在段塞相同条件下,Cr^3＋聚合物凝胶调驱效果较好.从技术经济效果考虑,推荐Cr^3＋聚合物凝胶体系组成：Cp=1 200 ～1 600 mg/L,m（Pol）∶m（Cr^3＋）=180∶1～ 270∶1,段塞尺寸为0.075 ～ 0.125 PV,预计采收率增幅1.6％ ～ 2.5％.在室内研究基础上,2012年12月开始在渤海BZ28-2S油田进行了矿场试验.目前矿场调驱施工正在进行之中,截止到2013年5月,由于调驱时间较短,部分油井已经见效.