从76届SEG年会看综合物化探技术的发展方向

文中在介绍76届SEG年会的展商、展台及会场专题报告与论文发布情况的基础上，阐述了参加本届SEG年会的体会，指出了重磁电技术发展的四个趋势：向海洋勘探技术方向发展、向复杂区综合勘探技术方向发展、向三维联合处理和三维可视化解释技术发展、向直接圈定和检测油气方向发展。     

Ontological reasoning in the design space exploration of advanced cyber–physical systems

Cyber–physical systems are becoming increasingly complex. In these advanced systems, the different engineering domains involved in the design process become more and more intertwined. Therefore, a traditional (sequential) design process becomes inefficient in finding good design options. Instead, an integrated approach is needed where parameters in multiple different engineering domains can be chosen, evaluated, and optimized to achieve a good overall solution. However, in such an approach, the combined design space becomes vast. As such, methods are needed to mitigate this problem.In this paper, we show a method for systematically capturing and updating domain knowledge in the context of a co-design process involving different engineering domains, i.e. control and embedded. We rely on ontologies to reason about the relationships between parameters in the different domains. This allows us to derive a stepwise design space exploration workflow where this domain knowledge is used to quickly reduce the design space to a subset of likely good candidates. We illustrate our approach by applying it to the design space exploration process for an advanced electric motor control system and its deployment on embedded hardware.     

Automatic Channel Detection Using DNN on 2D Seismic Data

Geologists interpret seismic data to understand subsurface properties and subsequently to locate underground hydrocarbon resources. Channels are among the most important geological features interpreters analyze to locate petroleum reservoirs. However, manual channel picking is both time consuming and tedious. Moreover, similar to any other process dependent on human intervention, manual channel picking is error prone and inconsistent. To address these issues, automatic channel detection is both necessary and important for efficient and accurate seismic interpretation. Modern systems make use of real-time image processing techniques for different tasks. Automatic channel detection is a combination of different mathematical methods in digital image processing that can identify streaks within the images called channels that are important to the oil companies. In this paper, we propose an innovative automatic channel detection algorithm based on machine learning techniques. The new algorithm can identify channels in seismic data/images fully automatically and tremendously increases the efficiency and accuracy of the interpretation process. The algorithm uses deep neural network to train the classifier with both the channel and non-channel patches. We provide a field data example to demonstrate the performance of the new algorithm. The training phase gave a maximum accuracy of 84.6% for the classifier and it performed even better in the testing phase, giving a maximum accuracy of 90%.     

Qt在EQT格式地震日志转换中的应用

主要讨论了基于Qt的地震日志格式转换软件的设计及其实现方法。     

近断层脉冲型地震动作用下面板堆石坝的动力响应

越来越多的高土石坝正在西部地区建设或规划中,其中许多位于发震断裂带附近,遭遇近场强震的概率随着大坝数量的增加而增加,近断层脉冲型地震动作用下大坝地震响应特性亟待研究。本文选取10组台湾集集地震实测加速度时程,结合200 m级的面板堆石坝开展动力有限元分析,研究脉冲和非脉冲地震动作用对面板堆石坝的加速度、水平位移以及面板顺坡向应力的影响。结果表明,与非脉冲型地震动相比,脉冲型地震动对大坝堆石体的水平位移和面板顺坡向应力的影响较大,影响程度随着PGV/PGA(地面峰值速度/地面峰值加速度)的增大而增大。因此,在高地震区修建高土石坝时应对脉冲型地震进行专门研究,综合评价大坝的地震安全性和极限抗震能力。     

Coupling geometric analysis and viability theory for system exploration: Application to a living food system

This paper addresses the issue of studying a food complex system in a reverse engineering manner with the aim of identifying the set of all possible actions that makes it reach a quality target with respect to manufacturing constraints. Once the set of actions is identified, several criteria can be considered to identify interesting trajectories and control policies. A viability approach, coupling the viability theory and a geometric approach of robustness, is proposed to study complex dynamical systems. It can be implemented for several types of systems, from linear to non linear or hybrid systems. The proposed framework was adapted to a living food system: a ripening model of Camembert cheese to identify the set of states and actions (capture basin) from which it is possible to reach a predefined quality target. Within the set of viable trajectories, particular trajectories that improve the Camembert cheese ripening process are identified using the proposed approach. The results are applied at a pilot scale and are discussed in this paper.     

全变分原理在地震数据去噪中的应用

地震图像资料的解释和后续处理中的重点环节是如何有效地降除地震资料记录中的噪声。高效的地震资料降噪算法在较好降除噪声的同时可以将图像的边缘信息予以较好的保留。论文首先全面地介绍了全变分去噪模型,同时详细介绍了参数的选取方法,最后进行实验和模型验证。结合小波阈值降噪方法进行比较,实验结果表明全变分降噪方法在很好地消除地震信号图像中的噪声,大面积提高信号剖面质量的同时,可以有效提高地震资料的信噪比。     

型钢翼缘狗骨式削弱在型钢混凝土节点的作用

为了防止地震时型钢混凝土节点核心区发生剪切破坏以及梁柱连接焊缝发生脆性断裂,提出对型钢混凝土节点核心区附近梁端型钢的上、下翼缘采取狗骨式削弱,并系统研究翼缘削弱对提高型钢混凝土节点抗震性能的作用.研究表明,由于在梁端型钢翼缘采取狗骨式削弱,不仅能够将塑性铰控制在梁型钢削弱的位置,从而有效地降低了节点核心区所受的剪力以及梁柱连接焊缝的应力;而且能够改善节点塑性铰区的转动能力和抗剪性能,提高节点的延性和耗能能力.     

K8型单层球面网壳支座减震

为了对跨度为60 m的K8型单层球面网壳进行了减震分析,分别将结构的支座设置成弹性支座和弹性阻尼支座,对结构进行减震控制.结合对结构在有控和无控状态下自振特性的分析,阐述了单层球面网壳结构的减震控制原理.在常遇地震作用下,得到网壳结构的最大水平位移、减震支座的最大水平位移、最大支座反力和最大杆件内力.通过改变支座的刚度和阻尼系数,对两种减震方案的减震效果进行比较.研究结果表明:两种减震装置均有效地控制了K8型单层球面网壳结构的支座反力,弹性阻尼支座还可以明显地降低减震支座的水平位移.     

储罐地震易损性数值仿真分析

为了研究储罐的抗震性能,忽略储罐罐壁的质量,将储罐中的液体质量简化为三质点体系模型,地基土由两个弹簧和两个阻尼器模拟.考虑罐体的平动和转动,建立了在水平地震激励下储罐的动力方程;给出了随机变量的概率模型和基于易损性理论的失效概率计算方法.通过对大庆某油库2×104 m3和5×104m3两种大型储罐进行数值仿真方法的地震易损性分析.结果表明:随着地震烈度的增大,储罐的易损性逐渐增大;5×104 m3储罐的抗震性能要好于2×104 m3储罐;2×104 m3和5×104 m3储罐的主要失效模式分别是抗失稳和抗提离.由此可见从多个失效模式对储罐进行地震易损性研究比从单一失效模式进行易损性研究更加科学.