Enhanced oil recovery from carbonate reservoirs by spontaneous imbibition of low salinity water

An experimental study was performed to investigate the impact of low salinity water on wettability alteration in carbonate core samples from southern Iranian reservoirs by spontaneous imbibition. In this paper, the effect of temperature, salinity, permeability and connate water were investigated by comparing the produced hydrocarbon curves. Contact angle measurements were taken to confirm the alteration of surface wettability of porous media. Oil recovery was enhanced by increasing the dilution ratio of sea water, and there existed an optimum dilution ratio at which the highest oil recovery was achieved. In addition, temperature had a very significant impact on oil recovery from carbonate rocks. Furthermore, oil recovery from a spontaneous imbibition process was directly proportional to the permeability of the core samples. The presence of connate water saturation inside the porous media facilitated oil production significantly. Also, the oil recovery from porous media was highly dependent on ion repulsion/attraction activity of the rock surface which directly impacts on the wettability conditions. Finally, the highest ion attraction percentage was measured for sodium while there was no significant change in pH for all experiments.     

Three‐dimensional numerical simulations of smooth,asymmetrically roughened,and baffled culverts for upstream passage of small‐bodied fish

Traditional box culvert designs lead to development of high velocity zones in the culvert barrel that often impede upstream migration of fish. Herein, three‐dimensional Reynolds‐averaged Navier‐Stokes (RANS)‐ and Large eddy simulation (LES)‐based computational fluid dynamics (CFDs) simulations were performed to compare the effectiveness of smooth, asymmetrically roughened, and corner‐baffled barrels, in creating low‐velocity zones (LVZs) and providing opportunity for upstream passage of small‐bodied fish. The results revealed distinctive benefits provided by the asymmetrically roughened and corner‐baffled barrels relative to the smooth barrel. Cross‐sectional asymmetry, corners, and obstructions are important factors that contribute to the generation of LVZs conducive to fish passage, albeit contiguity of LVZs is required, particularly for weak swimmers. The study demonstrates the adequacy and effectiveness of CFD models to complement traditional laboratory studies in understanding basic mechanisms beneficial to fish passage and to provide insights into future designs.     

齐大山铁矿南帮含水构造带探测研究

为解决采空区突发涌水给矿山安全生产带来的安全威胁,以齐大山铁矿为研究对象,以高密度电阻率法含水构造带理论模型的正演模拟研究为基础,运用高密度电阻率法对采场南帮含水构造带的异常范围进行了圈定;运用瞬变电磁法进行了二次探测,并对高密度电阻率法所圈定的异常范围进行了验证。研究表明:含水构造带显示为低阻异常特征,在高密度电阻率法探测成果图中显示的两处低阻异常与含水构造带理论模型的正演模拟结果一致;同时,在瞬变电磁法探测成果图中显示的低阻区域均在高密度电阻率法所圈定的低阻异常范围内,二者相互验证,这两处低阻异常均为含水构造带的地球物理异常特征的显示,表明采用高密度电阻率法和瞬变电磁法组合识别技术可实现对隐伏含水构造带的先导性探测。     

基于目标级联技术的含风电互联电网机组组合策略

针对含风电互联电网日前安全约束机组组合的规模大、约束复杂、求解困难等问题,提出基于目标级联分析技术的分散协调优化策略。将问题分解为负责区域间边界节点电压相角协调的上层优化问题和以并行方式独立优化各区域发电计划的下层优化问题。下层优化以弃风电量期望和电量不足期望,量化各区域内风电、负荷预测误差,以及常规机组强迫停运等系统运行不确定性所带来的风险,并以罚函数的形式引入目标函数,以综合优化系统可靠性与经济性。2区域12节点系统和IEEE RTS96三区域互联系统算例仿真验证所建模型和算法的有效性。     

地下水穿透情形下玻璃固化体的蚀变研究

玻璃固化体在高放废物处置库中的长期处置行为，是处置库安全评价的关键环节之一。本研究模拟极端情形下，地下水穿透包装容器与固化体接触后，固化体中元素的浸出和蚀变行为。结果表明，地下水与固化体接触后，各元素的浸出浓度迅速增大，在200 d后逐渐下降并趋于稳定；温度对固化体中不同元素浸出速率的影响不同，B和Si的浸出速率随温度的增加而增大，U和Re的浸出速率随温度的降低而增大；固化体蚀变程度随温度的升高而加重，但其蚀变层的形成会阻滞元素在其中的扩散，客观上降低了固化体蚀变速率；富Si处置环境有利于抑制固化体中元素的浸出。     

Environmental economic dispatch in multi-area power system employing improved differential evolution with fuzzy selection

In a deregulated multi-area electrical power system the objective is to determine the most economical generation dispatch strategy that could satisfy the area load demands, the tie-line limits and other operating constraints. Usually, economic dispatch (ED) deals only with the cost minimization, but minimization of emission content has also become an equally important concern due to the mandatory requirement of pollution reduction for environmental protection. Environmental economic dispatch (EED) is a complex multi-objective optimization (MOO) problem with conflicting goals. Normally a fuzzy ranking is employed to rank the large number of Pareto solutions obtained after solving a MOO problem. But in this paper the preference of the decision maker (DM) is used to guide the search and to select the population for the next generation. An improved differential evolution (DE) method is proposed where the selection operation is modified to reduce the complexity of multi-attribute decision making with the help of a fuzzy framework. Solutions are assigned a fuzzy rank on the basis of their level of satisfaction for different objectives before the population selection and then the fuzzy rank is used to select and pass on better solutions to the next generation. A well distributed Pareto-front is obtained which presents a large number of alternate trade-off solutions for the power system operator. A momentum operation is also included to prevent stagnation and to create Pareto diversity. Studies are carried out on three test cases and results obtained are found to be better than some previous literature.     

Machine learning algorithm selection for windage alteration fault diagnosis of mine ventilation system

Machine learning algorithms have been widely used in mine fault diagnosis. The correct selection of the suitable algorithms is the key factor that affects the fault diagnosis. However, the impact of machine learning algorithms on the prediction performance of mine fault diagnosis models has not been fully evaluated. In this study, the windage alteration faults (WAFs) diagnosis models, which are based on K-nearest neighbor algorithm (KNN), multi-layer perceptron (MLP), support vector machine (SVM), and decision tree (DT), are constructed. Furthermore, the applicability of these four algorithms in the WAFs diagnosis is explored by a T-type ventilation network simulation experiment and the field empirical application research of Jinchuan No. 2 mine. The accuracy of the fault location diagnosis for the four models in both networks was 100%. In the simulation experiment, the mean absolute percentage error (MAPE) between the predicted values and the real values of the fault volume of the four models was 0.59%, 97.26%, 123.61%, and 8.78%, respectively. The MAPE for the field empirical application was 3.94%, 52.40%, 25.25%, and 7.15%, respectively. The results of the comprehensive evaluation of the fault location and fault volume diagnosis tests showed that the KNN model is the most suitable algorithm for the WAFs diagnosis, whereas the prediction performance of the DT model was the second-best. This study realizes the intelligent diagnosis of WAFs, and provides technical support for the realization of intelligent ventilation.     

重复采动覆岩裂隙率空间分布相似模拟研究——以陕北矿区为例

由于水资源短缺,陕北矿区利用采空区储存矿井水进行再利用,采空区储水量与采动裂隙空间分布密切相关,为准确预测采空区储水量,基于工作面上覆岩层断裂分带划分结果,确定煤矿地下水库的主要储水空间为垮落带与断裂带的裂隙空间,建立了采动覆岩裂隙率空间分布的计算方法,采用相似模拟试验得出了柠条塔矿1^-2煤和2^-2煤重复采动后上覆岩层的下沉曲线,计算出重复采动覆岩裂隙率在垂直和水平方向的空间分布情况。结果表明:沿垂直方向,随着高度增加,覆岩裂隙率逐渐减小,1^-2煤开采后岩层裂隙率由1.87%逐渐下降为1.18%,2^-2煤开采后,裂隙率由12.85%下降为4.11%;沿水平方向,垮落带、断裂带和弯曲下沉带的裂隙率在采空区边缘附近都会产生2个峰值,并且峰值位置逐渐向采空区中央移动,1^-2煤开采后,中间压实区的最大裂隙率为1.21%,两边离层区的最大裂隙率为2.19%,2^-2煤开采后,压实区和离层区最大裂隙率分别为16.1%和6.54%;重复开采后,上覆岩层的裂隙率显著增加,有...     

浅埋深高瓦斯工作面瓦斯抽放对采空区自燃“三带”的影响研究

以五虎山煤矿010908工作面为背景,采用理论分析、数值模拟和现场实测等手段对浅埋深高瓦斯工作面瓦斯抽放对采空区自燃"三带"影响进行研究。研究结果表明:当瓦斯绝对涌出量与采空区漏风量处于均衡状态时,此时瓦斯对煤自燃将出现明显的耦合影响;当采空区漏风量小于瓦斯绝对涌出量时,采空区遗煤自燃将受到阻碍;与之相反,当漏风量大于瓦斯涌出量时,采空区遗煤自燃受瓦斯涌出量的影响较小;高位钻孔与工作面距离越远,采空区内部的漏风路径也越长,采空区氧化带、窒息带所处的区域越向采空区深部扩大,但靠近工作面一侧的氧化带范围并没有出现明显变化。     

泥质化蚀变型锂辉石矿选别工艺研究

锂辉石矿发生蚀变以后，选别处理过程中存在泥化严重、可浮性差的难题。采用传统的闭路浮选流程处理Li2O品位为1.05%的此类矿石，难以获得较为理想的指标，锂精矿Li2O品位仅为3.12%，Li2O回收率为43.61%。为此，本文介绍一种全开路锂辉石矿选别工艺，通过改变中矿走向，获得Li2O品位3.83%，Li2O回收率48.19%的锂精矿。之后锂精矿经反浮选除杂，最终Li2O品位可以达到4.58%。