四川盆地白云岩成因的研究现状及存在问题

四川盆地上震旦统到中三叠统主要是海相碳酸盐岩沉积, 勘探已发现震旦系、寒武系等15个碳酸盐岩含气层系。其中, 上震旦统与寒武系碳酸盐岩基本上完全白云石化, 其余层位也具有不同程度白云石化。对四川盆地海相碳酸盐岩储层白云岩成因机理或模式, 不同学者具有不同的解释, 主要有原生、准同生、渗透回流、混合水、埋藏成因、热液成因、淋滤玄武岩成因及生物成因等8 种模式。白云岩储层是现今四川盆地碳酸盐岩最为重要的油气储集层之一, 白云石化是四川盆地碳酸盐岩优质储层发育的必要条件。 四川盆地海相碳酸盐岩白云石化埋藏成因模式与混合水模式受到广泛质疑, 可能为热液成因。 四川盆地海相碳酸盐岩中2 次地裂运动及其导致的广泛的流体活动背景, 致使热液白云石化可能比我们想象的更为普遍。     

南襄盆地泌阳凹陷高成熟开发区隐蔽油藏识别技术

南襄盆地泌阳凹陷经过三十多年的勘探开发,已处于高成熟勘探阶段,各油田处于高含水开发后期。在分析隐蔽油藏形成的地质基础上,指出隐蔽油藏与较大规模油藏的形成是同源同步的。充分利用高成熟开发区动、静态资料丰富的优势,提出识别隐蔽油藏的3种技术方法:小层精细对比技术、圈闭评价技术、微构造分析技术。利用这些方法对南襄盆地稀油老区的隐蔽油藏进行了有效识别,成功率在90%以上。新增石油地质储量超过500×10⁴t,年增原油超过1×10⁴t,取得了明显的应用效果。     

电成像测井在东濮凹陷裂缝性砂岩储层评价中的应用

为有效识别和精确评价以"双孔介质"为特征的东濮凹陷三叠系致密砂岩裂缝性储层,通过对电成像测井资料的地质应用研究,完善了其在裂缝定性识别与定量评价、地层产状描述、井旁构造分析、地应力分析及岩性识别方面的应用。用岩心刻度电成像测井(EMI)、再用电成像测井刻度常规测井,在地质条件及测试资料的约束下,总结出三叠系砂岩裂缝性储层的测井响应特征,进而形成了一套划分裂缝性储层的有效方法。据已测试的10口井分析,该评价方法的测井解释符合率达84.3%,提高了测井对三叠系裂缝性储层的识别能力。     

Fisher 判别在红山嘴油田火山岩岩性识别中的应用

Fisher 判别根据投影原理将多个变量的特征差异表现在几个主要的判别函数中,具有算法稳健、信息量大、准确率高和应用方便的特点,适用于多总体多变量的火山岩岩性识别研究。在研究了准噶尔盆地红山嘴油田石炭系火山岩岩石学特征和3 亚类9 小类岩性测井响应特征的基础上,用Fisher 判别分别建立了相应的火山岩岩性识别模型,判别率较高。用该成果对本区46 口井的常规测井资料进行了岩性识别,为火山岩油藏难采储量评价奠定了基础。     

基于神经网络算法的弹丸阻力系数辨识

为了解决传统辨识方法在应用于弹丸气动参数辨识时所存在的建模误差问题,基于极大似然准则,采用神经网络-牛顿法,对无控旋转弹丸的飞行状态数据进行处理,提取出其零升阻力系数。仿真结果表明,该算法具有较高的辨识精度和可靠性。基于实测数据,采用该算法和应用已成熟的扩展卡尔曼滤波算法进行辨识。结果表明,神经网络算法的前期辨识精度较高,但中期误差较大,而扩展卡尔曼滤波的前期精度较差,故可结合二者的优点有效地解决工程实际问题。     

配电线路在线故障识别与诊断

最近几年我国经济发展速度加快,国民用电需求急剧增加,国家电力事业压力呈上升趋势。而在整个电力系统中,配电线路将发电厂与终端用户紧密联系起来,在其中发挥着重要的作用。由于现在终端用户越来越多,供电系统的压力增大,外界的各种干扰因素导致电力系统会发生电路故障,从而影响用户的正常使用。所以配电线路的质量直接关系到供电质量和供电可靠性,同时影响国家电网系统正常为用户提供电。所以必须重视配电线路质量问题,本文对配电线路故障识别与诊断进行初步分析,希望对国家电网运行安全有所帮助。     

Fast algorithms for nonparametric population modeling of large data sets

Population models are widely applied in biomedical data analysis since they characterize both the average and individual responses of a population of subjects. In the absence of a reliable mechanistic model, one can resort to the Bayesian nonparametric approach that models the individual curves as Gaussian processes. This paper develops an efficient computational scheme for estimating the average and individual curves from large data sets collected in standardized experiments, i.e. with a fixed sampling schedule. It is shown that the overall scheme exhibits a “client-server” architecture. The server is in charge of handling and processing the collective data base of past experiments. The clients ask the server for the information needed to reconstruct the individual curve in a single new experiment. This architecture allows the clients to take advantage of the overall data set without violating possible privacy and confidentiality constraints and with negligible computational effort.     

Framed slotted ALOHA with grouping tactic and binary selection for anti-collision in RFID systems

9%-16.3% compared to other ALOHA-based tag anti-collision algorithms when the number of tags is 1 000.     

Problem identification and construction: What do we know, what is the future?

Many cognitive process theories of creativity include an initial process of problem identification, definition, and construction. Previous research suggests that problem identification and construction is related to creativity, and that creative individuals and experts tend to engage in problem identification and construction. Finally, previous research suggests that inducing active engagement in problem identification and construction, through instructions or training, facilitates creativity. The authors offer views regarding important future direction for researchers in this area. Specifically, issues regarding methodology, the relationship between personality and values and how problems are constructed, and problem identification and construction in teams are suggested as important avenues for future research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Matching a system behavior with a known set of models: A quadratic optimization‐based adaptive solution

The matching process between a time‐domain external behavior of a lumped single‐input single‐output dynamical system and a known set of linear continuous time‐invariant models is tackled in this paper. The proposed online solution is based on an adaptive structure detector, which in finite time locates in the known set of models the one corresponding to the observed external behavior; the detector results from the solution of a constrained quadratic optimization problem. The problem is expressed in terms of the time‐domain activity of a family of discriminating filters and is solved via a normalized gradient algorithm, which avoids mismatching due to the presence of structural zeros in the filters and can take into account band‐limited high‐frequency measurement noise. A failure detection problem concerning a simulated servomechanism is included in order to illustrate the proposed solution. Copyright © 2008 John Wiley & Sons, Ltd.