古龙南地区薄层低丰度油藏水平井沉积相描述方法

沉积相研究是油气田勘探开发中一项重要工作,基于直井信息的沉积相研究技术较为成熟,但对于水平井沉积相的描述方法尚无成型经验。从水平井和直井的测井、录井资料及测井响应机理等方面进行了分析,建立了水平井和直井的电阻率关系,以储层"四性关系"为基础,构建水平井沉积微相判别图版,可以准确识别沉积微相类型。在水平井储层分段精细描述的基础上,依据水平井分段判相结果,可有效地解决平面相带组合过程中存在的盲目性和多解性的问题。与单纯应用直井信息刻画相带进行对比,水平井参与相带组合,变相增加了井网密度,能够合理、准确地反映地下地质体情况,使砂体接触关系和储层平面非均质性描述更加清晰。在实践中探索形成的这套水平井沉积相描述方法,对今后水平井高效开发具有重要指导意义,向实现精准地质研究目标迈进一步。     

蒙特卡罗方法的过程聚类EWMA控制图研究

以加工"过程"为研究对象,从零件成组加工技术出发,阐述了就如何利用EWMA控制图来进行统计聚类并进行过程质量监控等问题,提出通过统计聚类形成"零件族",对同一"零件族"采用统一的EWMA控制图的应用策略;引入聚类零件族的方差比ρ,利用蒙特卡罗模拟方法,对不同样本数量条件下的统计聚类EWMA控制图性能所产生的影响进行了详细的研究,最后给出了统计聚类的基本原则.     

自动装箱机的设计

由于工业化生产发展的要求,迫使生产设备的自动化程度及生产效率提高,使产品生产赢得时间赢得市场。因而设计制造一套“自动装箱机”,该装箱机结构紧凑、操作简便、自动化程度高。能大大提高装箱的质量及速度,可广泛应用于粮油、食品、饮料、果品等的装箱生产线上。     

MINITAB软件在工序质量控制中的应用

分析了MINITAB软件在质量控制中的应用,介绍了MINITAB软件的特点以及质量控制工具的基本知识,并结合企业生产现场采集的零件加工数据,应用MINITAB软件对数据进行处理和分析。     

SPC技术在质量管理中的应用

介绍了SPC技术原理及其在矿山质量管理的实践,通过控制图在矿山质量管理中的应用,保证过程的稳定性和产品质量的一致性,提高产品质量.     

Optimization of the Production Organization Pattern in Tangshan Iron and Steel Co., Ltd.

High-efficiency production organization should be simple and “laminar”. A one to one “laminar flow” operation mechanism is supposed to be accepted as a prerequisite to build high-efficiency clean steel “production platform”. Concerning the fact that establishing a one to one “laminar flow” production pattern is impossible at Tangshan Iron and Steel Co., Ltd., “quasi-laminar flow” production pattern was evaluated. Result shows that rolling bar products of various specifications have great impact on the liquid steel supply model between BOF and CC. Considering the process matching issue of steelmaking-continuous casting-rolling process in bar production line, a “quasi-laminar flow” production pattern between BOF and CC was proposed according to different rolling specification in bar mills. Through analysis and research on current production pattern, combined with principles and strategy for BOF workshop control, and taking the plant layout into account, “quasi-laminar flow” production pattern was finally established. Moreover, Gantt chart of “quasi-laminar flow” production pattern was drawn. It is shown that the relative “order degree” of the “quasi-laminar flow” production pattern rises, which is conductive to production scheduling and ladle operation turnaround in comparison with “turbulence” production pattern. While a careful evaluation should be conducted due to the fluctuant temperature drop caused by the inevitable inserted heats and decreased operation rate of inserted BOF before adapting the production pattern.     

面降水量在确定河流干支关系中的应用

以洞庭湖流域为例,利用数字化的多年平均年降水深等值线图资料,采用自然邻点插值法快速准确地实现了数字等值线图栅格化,将降水栅格化结果与流域边界数据进行叠置和统计分析,从而计算出流域面降水量,并结合全国河流湖泊基本情况普查中确定河流干支关系的方法,对湘江干支关系进行了分析,验证了该方法的可行性和有效性。     

A combined synthetic&X chart for monitoring the process mean

The Shewhart X chart (or X chart) is widely used to monitor the mean of a quality characteristic x. This chart decides the process status based on the magnitude of the sample mean x and is effective for detecting large mean shifts. The synthetic chart is also a Shewhart type chart for monitoring the process mean, but it utilises the information about the time interval between two nonconforming samples. Here a sample is nonconforming if its x value falls beyond the predetermined warning limits. Unlike the X chart, the synthetic chart is more powerful to detect small shifts. The applications of the X and synthetic charts cover a wide variety of manufacturing processes and production lines, e.g., the monitoring of the mean values of the inside diameter of a piston-ring, the viscosity of aircraft paint, the resistivity of silicon wafers. This article proposes a combined scheme, the Syn-X chart, that comprises a synthetic chart and an X chart. The results of the performance studies show that the Syn-X chart always outperforms the individual X chart and synthetic chart under different conditions. It is more effective than the X chart and synthetic chart by 47% and 20%, respectively, over the wide range of mean shift values in different experiment runs.     

A Multivariate Exponentially Weighted Moving Average Control Chart

A multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure. A comparison shows that the average run length (ARL) performance of this chart is similar to that of multivariate cumulative sum (CUSUM) control charts in detecting a shift in the mean vector of a multivariate normal distribution. As with the Hotelling's χ² and multivariate CUSUM charts, the ARL performance of the multivariate EWMA chart depends on the underlying mean vector and covariance matrix only through the value of the noncentrality parameter. Worst-case scenarios show that Hotelling's χ² charts should always be used in conjunction with multivariate CUSUM and EWMA charts to avoid potential inertia problems. Examples are given to illustrate the use of the proposed procedure.     

Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance

An exponentially weighted moving average (EWMA) control chart for monitoring the process mean μ may be slow to detect large shifts in μ when the EWMA tuning parameter λ is small. An additional problem, sometimes called the inertia problem, is that the EWMA statistic may be in a disadvantageous position on the wrong side of the target when a shift in μ occurs, which may significantly delay detection of a shift in μ. Options for improving the performance of the EWMA chart include using the EWMA chart in combination with a Shewhart chart or in combination with an EWMA chart based on squared deviations from target. The EWMA chart based on squared deviations from target is designed to detect increases in the process standard deviation σ, but it is also very effective for detecting large shifts inμ. Capizzi and Masarotto recently proposed the option of an adaptive EWMA control chart in which λ is a function of the data. With the adaptive feature, the EWMA chart behaves like a standard EWMA chart when the current observation is close to the previous EWMA statistic, and like a Shewhart chart otherwise. Here we extend the use of the adaptive feature to EWMA charts based on squared deviations from target, and also consider an alternate way of defining the adaptive feature. We discuss performance measures that we believe are appropriate for assessing the effects of inertia, and compare the performance of various charts and combinations of charts. Standard practice is to simultaneously monitor both μ and σ, so we consider control chart performance when the objective is to detect small or large changes in μ or increases in σ. We find that combinations of EWMA control charts that include a chart based on squared deviations from target give good overall performance whether or not these charts have the adaptive feature.