缝洞型油藏储集体分类建模方法研究

为了表征缝洞型碳酸盐岩油藏储集体类型多样、尺度差异大、空间分布规律复杂的特征，采用"分级分类、岩溶相控、多类型融合"的方法，分别对不同类型缝洞储集体的规模大小、外部几何形态及内部属性特征进行建模，建立了基于岩溶成因的融合原则，实现了不同类型缝洞储集体的融合，并通过新钻井验证了模型可靠性。结果表明，该方法适用于此类强非均质性油藏的地质建模，能够有效表征不同类型储集体及属性参数的空间分布特征。基于模型，细化了XX单元的储量构成，其中，溶洞储量占63.1%，溶蚀孔洞储量占34.5%，大尺度裂缝储量占2.4%。该模型在油藏数值模拟中取得了较好的拟合效果和模拟结果。     

基于系统动力学模型的发动机再制造经济性研究

从生产和物流成本出发,对发动机再制造经济性进行分析。基于系统动力学建立发动机再制造全过程关键因素及成本分析模型,研究了不同批量、不同库存策略、不同管理方法下的再制造成本,最后通过系统动力学软件Vensim对成本模型进行模拟仿真,并得出结论:随着产能的扩大,为降低回收成本,应在原有网络的基础上进一步扩大回收网络;因缺货带来的影响非常明显,应采取面向订单生产模式的库存策略以减少缺货成本。     

Improving traceability in continuous processes using flow simulations

Traceability is normally difficult to achieve in continuous processes, since there are no natural batch structures. In this article, we demonstrate flow-based simulation using process data to improve traceability in a continuous pelletising process. Using the simulation model, the engineers could test the impacts of process disturbances, identify cause and effect relations and aid control in case of process disturbances. In a field trial where the chemistry of an additive was varied during production of a special product, the simulation forecasts predicted the level of the chemical content after the plant within the errors that the engineers found acceptable.     

Simulation of the p-generalized Gaussian distribution

In this paper, we introduce the p-generalized polar methods for the simulation of the p-generalized Gaussian distribution. On the basis of geometric measure representations, the well-known Box–Muller method and the Marsaglia–Bray rejecting polar method for the simulation of the Gaussian distribution are generalized to simulate the p-generalized Gaussian distribution, which fits much more flexibly to data than the Gaussian distribution and has already been applied in various fields of modern sciences. To prove the correctness of the p-generalized polar methods, we give stochastic representations, and to demonstrate their adequacy, we perform a comparison of six simulation techniques w.r.t. the goodness of fit and the complexity. The competing methods include adapted general methods and another special method. Furthermore, we prove stochastic representations for all the adapted methods.     

Simulation of Balakrishnan skew-normal order statistics

ABSTRACT

The novel Balakrishnan skew-normal distribution introduced in 2008 has received considerable interest. Here, we derive stochastic representations for simulating order statistics of the novel Balakrishnan skew-normal distribution. The resulting algorithms are more efficient than the ordinary sorting algorithm.     

Opportunities of the minimum Anderson–Darling estimator as a variant of the maximum likelihood method

We reveal that the minimum Anderson–Darling (MAD) estimator is a variant of the maximum likelihood method. Furthermore, it is shown that the MAD estimator offers excellent opportunities for parameter estimation if there is no explicit formulation for the distribution model. The computation time for the MAD estimator with approximated cumulative distribution function is much shorter than that of the classical maximum likelihood method with approximated probability density function. Additionally, we research the performance of the MAD estimator for the generalized Pareto distribution and demonstrate a further advantage of the MAD estimator with an issue of seismic hazard analysis.     

A two-sample parametric group sequential procedure for monitoring clinical trials

A group sequential procedure is presented which allows for staggered entry of patients, random loss to followup, and utilizes the flexible boundary approach of Lan and DeMets. The proposed procedure assumes that response times are nearly exponentially distributed. An example as well as simulation studies comparing the performance of the proposed procedure with the group sequential logrank are also presented.     

"三大板块":现代中国文学史的重构

文学的运动形态、理论形态和创作形态应似重构现代中国文学史的“三大板块”;在文学史的结构网络中文学运动形态可视为“史线”、理论形态视为“史魂”,而文学创作形态则是“史体”。     

模糊车辆路径问题的一种混合遗传算法

在对模糊车辆路径问题进行简单描述的基础上,通过引入决策者主观偏好值的概念,给出了解决该问题的基本思路,建立了具有模糊特征的车辆路径问题的模糊机会规划模型,提出了求解该问题的一种基于模糊模拟的混合遗传算法。同时,在最小化总行驶距离的目标下,通过随机模拟方法研究了决策者主观偏好值的选择对最终决策目标的影响作用,并给出了其最佳取值范围。