Robust optimal operation of continuous catalytic reforming process under feedstock uncertainty

The continuous catalytic regenerative (CCR) reforming process is one of the most significant sources of hydrogen production in the petroleum refining process. However, the fluctuations in feedstock composition and flow rate could significantly affect both product distribution and energy consumption. In this study, a robust deviation criterion based multi-objective optimization approach is proposed to perform the optimal operation of CCR reformer under feedstock uncertainty, with simultaneous maximization of product yields and minimization of energy consumption. Minimax approach is adopted to handle these uncertain objectives, and the Latin hypercube sampling method is then used to calculate these robust deviation criteria. Multi-objective surrogate-based optimization methods are next introduced to effectively solve the robust operational problem with high computational cost. The level diagram method is finally utilized to assist in multi-criteria decision-making. Two robust operational optimization problems with different objectives are solved to demonstrate the effectiveness of the proposed method for robust optimal operation of the CCR reforming process under feedstock uncertainty.     

LinkingPark: An automatic semantic table interpretation system

In this paper, we present LinkingPark, an automatic semantic annotation system for tabular data to knowledge graph matching. LinkingPark is designed as a modular framework which can handle Cell-Entity Annotation (CEA), Column-Type Annotation (CTA), and Columns-Property Annotation (CPA) altogether. It is built upon our previous SemTab 2020 system, which won the 2nd prize among 28 different teams after four rounds of evaluations. Moreover, the system is unsupervised, stand-alone, and flexible for multilingual support. Its backend offers an efficient RESTful API for programmatic access, as well as an Excel Add-in for ease of use. Users can interact with LinkingPark in near real-time, further demonstrating its efficiency.     

Revisiting rock classification to estimate rock mass properties

This paper presents the results of ongoing research carried out by the author exploring methods to provide a more robust estimate of rock mass properties specifically for use in tunnel design. Data from various large-scale rock mass failures are introduced, including coal pillars. The damage-initiation,spalling-limit approach is compared to the coal pillar database. New comparisons of estimating the geological strength index(GSI) and relationships to estimate the Hoeke Brown failure criterion parameters, mb, s and a, are presented.     

A stiffness parameter and truncation error criterion for adaptive path following in structural mechanics

We explore a truncation error criterion to steer adaptive step length refinement and coarsening in incremental-iterative path following procedures, applied to problems in large-deformation structural mechanics. Elaborating on ideas proposed by Bergan and collaborators in the 1970s, we first describe an easily computable scalar stiffness parameter whose sign and rate of change provide reliable information on the local behavior and complexity of the equilibrium path. We then derive a simple scaling law that adaptively adjusts the length of the next step based on the rate of change of the stiffness parameter at previous points on the path. We show that this scaling is equivalent to keeping a local truncation error constant in each step. We demonstrate with numerical examples that our adaptive method follows a path with a significantly reduced number of points compared to an analysis with uniform step length of the same fidelity level. A comparison with Abaqus illustrates that the truncation error criterion effectively concentrates points around the smallest-scale features of the path, which is generally not possible with automatic incrementation solely based on local convergence properties.     

积分中值屈服准则解析厚板轧制椭圆速度场

为解决非线性Mises比塑性功率积分困难以及由此导致的轧制功率解析式难以获得的问题,本文通过建立并利用线性比塑性功率表达式对提出的椭圆速度场进行能量分析,得到了轧制力能参数的解析解.文中通过对变角度屈服函数求积分中值,构建了一个新的屈服准则,它是主应力分量的线性组合,在π平面上的轨迹是逼近Mises圆的等边非等角的十二边形,其基于Lode参数表达式的理论结果也与实验数据吻合较好.同时,根据厚板轧制时金属流动速度从入口到出口逐渐增大的特点,提出了水平速度分量满足椭圆方程的速度场,该速度场满足运动许可条件.通过相应的轧制能量分析,获得了基于线性屈服准则的内部变形功率以及基于应变矢量内积法上的摩擦功率与剪切功率.在此之上,通过泛函的极值变分导出了轧制力矩、轧制力以及应力状态系数的解析解,并与现场实测数据进行了对比,结果表明利用本文提出的屈服准则与速度场所建立的轧制力矩与轧制力模型与实测值吻合较好,其中轧制力误差小于5.3%,轧制力矩误差在6%左右.     

气烟囱效应——礁滩相岩性气藏的典型地震响应特征

品质良好的地震剖面上出现的地震模糊带称为气烟囱，发现和识别气烟囱是寻找大型气藏的有效方法。四川盆地东北部长兴组气藏是礁滩相岩性气藏，礁、滩作为一个独立的岩性体，与周围的地层、岩性结构差异较大，由此在构造应力场中形成力学尖点，从而产生气烟囱效应。已知的黄龙场、普光等气田，其气烟囱普遍存在。点礁通常形成下方的气烟囱，台缘礁通常在上方形成气烟囱；礁滩相在构造运动中控制了断层的发育过程，凸起的礁滩相上方可能发育对冲断层；斜坡较陡的台缘礁可能发育叠置的逆冲断层；礁、滩两侧边缘的断层一般都比较发育。断层发育加强了气烟囱效应。模拟试验验证了地震剖面解释结果。根据气烟囱地震相特征，预测黑池梁存在一个大型气藏。     

测试(试井)成果影响因素浅析

随着测试技术的发展、测试质量及资料解释水平的提高，测试（试井）成果的可靠程度越来越受到重视。影响解释成果的环节和因素很多，从客观和主观两方面分析其主要因素，找出症结所在，从而完善现场环节，完善资料解释过程，提高测试技术及解释水平。     

地震属性解释技术的研究及确定性分析

随着油气勘探开发的不断发展，储层预测、属性分析等技术得到了广泛的应用，在生产中取得了较好的效果。但地震属性的概念，分类方法，地震属性之间、地震属性与储层参数之间的相互关系仍较模糊，各种地震属性解释方法虽然种类繁多，但缺乏系统的研究，这使得地震属性在应用中存在较大的不确定性。文章通过系统研究地震属性的概念、储层地震响应的基本特征，提出了地震响应的核心是反映地震波在介质传播过程中的能量变化，所有能引起地震能量发生变化的介质的不均质性均可导致地震属性的变化，由此提出了一种新的地震属性分类方法，并认为大部分地震属性只是基本属性在不同域中的不同表现形式。在分析现有地震解释技术的基础上，提出了对地震属性解释的新认识，强调了地震属性对地层岩性油气藏勘探的重要性，对属性间的关系及地震属性解释技术的确定性进行了研究，提出了岩性油气藏地震解释的工作流程及对地震资料采集和处理的要求。     

川西新场气田JS2^1气藏测井多参数评价方法

针对川西新场气田JS2^1气藏开展了多参数的综合评价研究，多参数包括储层参数、裂缝参数、储层分类厚度参数。首先，开展了储层参数及裂缝参数的计算，以岩心分析结果为依据，建立了孔隙度、渗透率、含水饱和度计算模型。利用铸体薄片进行了微裂缝识别，对样品的裂缝参数和测井曲线进行相关分析，建立了测井计算裂缝参数的数学模型；其次，对储层进行聚类分析，通过聚类将储层分为三类；最后，将计算的裂缝参数、储层分类中的Ⅰ类储层厚度、孔渗饱等参数进行正态化处理，拟和测试的无阻流量与这些参数建立多元回归计算模型，即综合含气指标的数学计算模型。以综合含气指标为主要依据，进行储层综合分类和评价，指出了有利的含气区域和可供挖潜井的建议。该方法在指导气藏开发中获得了良好效果。