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公开(公告)号：US20050133211A1
公开(公告)日：2005-06-23
申请号：US10879459
申请日：2004-06-29
申请人： Mark Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shah , Ivy Man Chong , Shirley Au , Nishith Vora
发明人： Mark Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shah , Ivy Man Chong , Shirley Au , Nishith Vora
摘要： A technique is disclosed for evaluating and monitoring performance of a heat exchanger system. Operating parameters of the system are monitored and fouling factors for heat transfer surfaces of the exchanger are determined. Trending of fouling may be performed over time based upon the fouling factors, and a model of fouling may be selected from known sets of models, or a model may be developed or refined. Fluid treatment, such as water treatment regimes may be taken into account in evaluation of fouling. An automated knowledge based analysis algorithm may diagnose possible caused of fouling based upon sensed and observed parameters and conditions. Corrective actions may be suggested and the system controlled to reduce, avoid or correct for detected fouling.
摘要翻译： 公开了一种用于评估和监测热交换器系统性能的技术。 监测系统的工作参数，确定交换器传热面的污垢因子。 可以基于污垢因素随时间推移污染的趋势，并且可以从已知的一组模型中选择污垢模型，或者可以开发或改进模型。 在评估污垢时可以考虑流体处理，如水处理方案。 基于自动知识的分析算法可以基于感测和观察到的参数和条件来诊断可能导致的结垢。 可能会建议纠正措施，系统控制以减少，避免或纠正检测到的结垢。
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公开(公告)号：US20050050009A1
公开(公告)日：2005-03-03
申请号：US10643191
申请日：2003-08-18
申请人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Winslow , Michael Dion
发明人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Winslow , Michael Dion
摘要： A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.
摘要翻译： 提供了评估和优化粗选择的方法和系统。 预测引擎使用来自数据库的数据来执行至少一个预测性能模型和/或至少一个风险评估模型，其被设计为在精炼过程中优化或改进精炼操作。 预测引擎将对应于特定原油或原油混合物的输入关键原油信息，例如至少一个粗钢板，以及对应于特定炼油厂的炼油厂操作参数和/或条件，并且使用可取性度量来评估与数据的相似性 数据库。 基于所得到的产出，至少一个预测性能和/或至少一个风险评估模型使用输出来预测在精炼过程中使用特定炼油厂改进特定原油或粗混合物的性能或风险度量，问题的概率 在精炼过程中发生的问题在整个精炼过程中的分布等
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公开(公告)号：US07966331B2
公开(公告)日：2011-06-21
申请号：US10643191
申请日：2003-08-18
申请人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Craig Winslow , Michael Dion
发明人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Craig Winslow , Michael Dion
摘要： A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.
摘要翻译： 提供了评估和优化粗选择的方法和系统。 预测引擎使用来自数据库的数据来执行至少一个预测性能模型和/或至少一个风险评估模型，其被设计为在精炼过程中优化或改进精炼操作。 预测引擎将对应于特定原油或原油混合物的输入关键原油信息，例如至少一个粗钢板，以及对应于特定炼油厂的炼油厂操作参数和/或条件，并且使用可取性度量来评估与数据的相似性 数据库。 基于所得到的产出，至少一个预测性能和/或至少一个风险评估模型使用输出来预测在精炼过程中使用特定炼油厂改进特定原油或粗混合物的性能或风险度量，问题的概率 在精炼过程中发生的问题在整个精炼过程中的分布等
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公开(公告)号：US20050010462A1
公开(公告)日：2005-01-13
申请号：US10615431
申请日：2003-07-07
申请人： Mark Dausch , Helena Goldfarb , Martha Gardner , Michael Kinstrey , Shirley Au , Roy Wilson , Harold Eggert , Russell Strong , Malcolm Winslow
发明人： Mark Dausch , Helena Goldfarb , Martha Gardner , Michael Kinstrey , Shirley Au , Roy Wilson , Harold Eggert , Russell Strong , Malcolm Winslow
摘要： A knowledge management system and methods for crude oil refining are provided. The knowledge management system and methods enable information, such as crude oil characterizations, the experiences of processing crude oils in the refinery, problems encountered during the processing of crude oil in the refinery, and the treatments applied by personnel of the refinery to counteract those problems, to be captured, organized, and disseminated. The knowledge management system and methods for crude oil refining further provide a basis for running analytical models and other decision support applications to assess risks and financial impacts; thus, allowing users to make informed decisions for crude selection and treatment planning.
摘要翻译： 提供了原油精炼的知识管理系统和方法。 知识管理系统和方法能够提供原油特征，炼油厂原油加工经验，炼油厂原油加工过程中遇到的问题以及炼油厂人员应对这些问题的处理方面的信息 被捕获，组织和传播。 原油精炼知识管理系统和方法进一步为运行分析模型和其他决策支持应用提供依据，以评估风险和财务影响; 因此，允许用户对粗选择和治疗计划做出明智的决定。
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