基于结构解释模式的服役混凝土结构损伤识别

混凝土损伤的影响因素较多,采用结构解释模式(interpretative structural model,ISM)的系统分析方法进行服役混凝土结构损伤识别研究,科学判定既有混凝土结构的损伤程度及基本影响因素。根据引起混凝土损伤的因素,确定各因素间的二元关系,并以此为基础,由要素间的关系传递性,建立基于结构解释模式(ISM)的混凝土结构损伤识别的构思模型,并提取骨架矩阵,形成递阶结构模型,经过比较反馈、修正学习,分析给出混凝土结构损伤识别的基本影响因素。研究结果表明:结构损伤多因素的二元关系是进行损伤识别的基础,综合考虑系统中引起损伤的各因素之间的关系,利用图论中关联矩阵原理分析混凝土结构损伤,给出的结构损伤影响因素更为直接有效;由损伤识别模型归结出的基本影响因素与现行结构检测规范的基本项目基本一致。     

Soft Sensing of Overflow Particle Size Distributions in Hydrocyclones Using a Combined Method

Precise, real-time measurements of overflow particle size distributions in hydrocyclones are necessary for accurate control of the comminution circuits. Soft sensing measurements provide real-time, flexible, and low-cost measurements appropriate for the overflow particle size distributions in hydrocyclones. Three soft sensing methods were investigated for measuring the overflow particle size distributions in hydrocyclones. Simulations show that these methods have various advantages and disadvantages. Optimal Bayesian estimation fusion was then used to combine three methods with the fusion parameters determined according to the performance of each method with validation samples. The combined method compensates for the disadvantages of each method for more precise measurements. Simulations using real operating data show that the absolute root mean square measurement error of the combined method was always about 2% and the method provides the necessary accuracy for beneficiation plants.     

模糊识别模式的两种方法

模式识别就是对所研究的对象进行认识分类.当整体被划分的模式和被识别的对象,是某个论域上的模糊子集时,这种模式识别就被称为模糊识别模式.本文将介绍两类模糊识别的方法最大隶属原则分类方法和按择近原则分类的方法.     

有利砂体识别与解释

天然气的产量与砂岩的厚度,孔隙度,连通性,砂泥比等有密切的关系。为了解决砂体在空间以什么形态出现,其方向如何,纵向上如何变化,连通形式如何等问题,在前人研究的基础上,对篷来镇组某工区的砂体进行了精细识别和解释。在地震剖面上,砂体的响应一般表现为强振幅,低频率。孔隙性好,含气丰度高的砂体往往表现为速度低和极性反转的特点。但发现该工区的砂体在地震剖面上表现形式多变,甚至出现了合成地震记录与井旁地震记录严重不吻合的现象,故砂体识别工作不能遵循统一模式。因此,采用了多井约束,多层标定,分层解释来识别有利砂体。     

Identifying Model Series of MIMO System via Grey Target Theory

This paper discusses the problem of identifying model series of multi-input multi-output system via grey target theory by taking, respectively, both having and not having reference systems into account, which may sever as general guidance to models identification in case of less data, small sample and uncertainty; and proposes the approach to determining the so-called revealed distinguishing field, which can increase the accuracy of models identification by decreasing possible field of distinguishing coefficient and improve the approach determining the distinguishing coefficient in classical grey relational theory.     

柴达木盆地昆北油田厚油层隔夹层研究

开发实践证明,厚油层内部隔夹层的分布规律是影响油田开发中后期单砂体注采关系及剩余油分布的主控因 素。柴达木盆地昆北油田A 区下干柴沟组下段油藏发育厚油层,厚油层内部泥质隔夹层发育,在岩芯标定测井的基础 上,建立了泥质隔夹层识别模式,并以此模式为标准开展了全区隔夹层的识别及分布规律研究,根据隔夹层的纵向分 布、平面展布特征将区内隔夹层分为稳定型隔夹层、次稳定型隔夹层和不稳定型隔夹层等3 种类型。水动力条件及基 准面旋回是控制隔夹层厚度变化及分布规模的主要因素。在分析3 种隔夹层分布规律的基础上,以泥质含量参数下 限值为约束条件利用随机建模方法预测了井间隔夹层的空间分布,建立了研究区隔夹层的三维展布模型,为油藏注采 关系调整、提高水驱储量动用程度提供了地质依据。     

厚油层内部隔夹层预测建模——以Velasquez油田为例

 开发后期,厚油层内部隔夹层是造成剩余油分布的主要因素之一。Velasquez油田G组厚油层内部发育泥质隔夹层和物性隔夹层,本文建立了这两种隔夹层的电性、物性识别模式,利用该模式开展全区隔夹层的识别及横向对比。结果表明,该区隔夹层可分为稳定型、次稳定型和随机型3种。在分析3种隔夹层分布规律的基础上,分别用确定性建模、物性下限值控制、条件模拟等方法预测了隔夹层的井间分布,建立研究区隔夹层三维展布模型,为油藏后期措施调整和水平井的部署提供了地质依据。     

电成像测井资料在砂砾岩油气藏岩性识别中的应用

徐家围子断陷深层砂砾岩段是该区重要的目的储层,该类储层非均质性强、岩性复杂,常规测井响应曲线规律性差,难以准确识别储层岩性。本文利用地层微电阻率成像测井(FMI)资料,并充分结合岩心、薄片等信息,将研究区砂砾岩体典型岩石的FMI图像作为模板,总结相应的FMI图像特征,建立各种岩性在FMI图像上的识别模式,以此定性分析法指导其它井段的岩性识别。在实际应用中,利用砂砾岩体各种岩性的FMI图像识别模式,对研究区几口井目的层段进行了岩性识别,识别结果与岩心、薄片定名资料的符合率达82.4%。     

立体网络直销剖析与识别

立体网络直销的定义 在直销的概念中，销售有效奖励制度的建立，使直销商的收入表现在：1）直接销售产品的业绩；2）不断直接推荐销售产品的直销商及该直销商的业绩；3）自己直接推荐发展的直销商，所推荐发展的直销商，以及他们再推荐发展的直销商，以致类推，以及到所推荐发展的n个直销商，按他们的业绩以不同比例进行收入提成。     

Tone-3 Accent Realization in Short Chinese Sentences

To investigate how a low tone （tone-3, T3） syllable in Chinese can be perceived to be focal accented or not, a total of 156 sentences containing tone-3 words were synthesized and used as stimuli in a perceptual study. The sentences differed in the falling value between the two high pitches, and in the duration and phonation types of the T3 syllables. Thirty-nine subjects were asked to judge where the focus or accent was for each sentence. The results show that at least three degrees of pitch drop are involved in the focus recognition： a big sized drop of about 10 semitones; a middle sized drop of about 6 semitones; a small sized drop of about 2 semitones. The results suggest that the three sizes of pitch drop have different indications in Chinese intonation, depending on both the tone and the tone combination. In perception, there are various ways to realize tone-3 focus in the Tx-T3-Ty sentences series, but in production or for text-to-speech synthesis, the rule simply is making a middle sized pitch drop with a long and creaky T3 syllable. Similarly, to focus on the low tone syllable in the T3-Tx-Ty sentences, a creaky T3 syllable is essential. However, a long T3 syllable is a strong determinant for a low tone focus in the Tx-Ty-T3 sentences.