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1.发明申请System for the determination of selective absorbent molecules through predictive correlations 审中-公开通过预测相关性测定选择性吸收分子的系统公开(公告)号：US20110202328A1
公开(公告)日：2011-08-18
申请号：US12886899
申请日：2010-09-21
IPC分类号： G06G7/58
CPC分类号： G16C20/30 , G01N33/0044
摘要： A method for determining absorbent molecules that are effective for the property of acid gas removal from feedstreams comprising a) determining a set of known molecules that are effective for acid gas removal, b) defining descriptive parameters (descriptors) that correlate with the structure of molecules with known acid gas removal, c) assigning a value to each descriptor for each of the known molecules and developing a quantitative structure and property relationship (QSPR), and d) generating molecular structures that will be effective for acid gas removal from the structure and property relationship.
摘要翻译： 一种用于确定对从进料流中除去酸性气体的性质有效的吸收分子的方法，包括：a）确定一组对酸性气体去除有效的已知分子，b）定义与分子结构相关的描述性参数（描述符） 已知的酸性气体去除，c）为每个已知分子的每个描述符分配一个值，并开发定量结构和性质关系（QSPR），以及d）产生对从结构中除去酸性气体有效的分子结构， 财产关系
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2.发明授权Markov decision process-based support tool for reservoir development planning 有权基于马尔可夫决策过程的水库开发规划支持工具公开(公告)号：US08775347B2
公开(公告)日：2014-07-08
申请号：US12864971
申请日：2009-01-30
申请人： Vikas Goel , Kevin C. Furman
发明人： Vikas Goel , Kevin C. Furman
IPC分类号： G06F17/00
摘要： A Markov decision process-based support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model incorporates the flexibility that a decision-maker has in the real world and allows the decision-maker to adjust the decisions based on new information. The model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated.
摘要翻译： 用于油藏开发规划的基于马尔柯夫决策过程的支持工具可以包括输入数据源，优化模型，用于模拟油藏的高保真模型，以及与优化模型对接的一个或多个解决方案。 优化模型可以直接在优化模型中考虑具有不确定性的未知参数。 该模型结合了决策者在现实世界中的灵活性，并允许决策者根据新的信息调整决策。 该模型可以系统地处理不确定的数据，例如全面或甚至考虑所有不确定的数据。 因此，优化模型可以提供在不确定性空间上保持可行的灵活或可靠的解决方案。 一旦水库模型被优化，可能会产生最终的开发计划。
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公开(公告)号：US20110307230A1
公开(公告)日：2011-12-15
申请号：US13148259
申请日：2009-12-14
IPC分类号： G06G7/48
摘要： One or more methods for optimizing reservoir development planning include a source of characterized input data, an optimization model, a baseline model for simulating the reservoir, a modified model, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The modified model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the modified model is optimized to flexible or robust solutions. Final reservoir development plans are generated based on optimized model results.
摘要翻译： 用于优化储层开发计划的一种或多种方法包括特征输入数据的来源，优化模型，用于模拟储层的基线模型，修改的模型以及与优化模型接口的一个或多个解决方案。 优化模型可以直接在优化模型中考虑具有不确定性的未知参数。 修改的模型可以系统地解决不确定的数据，例如全面或甚至考虑所有不确定的数据。 因此，修改的模型被优化为灵活或可靠的解决方案。 基于优化模型结果生成最终油藏开发计划。
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4.发明申请Method Of Generating An Optimized Ship Schedule To Deliver Liquefied Natural Gas 审中-公开生产液化天然气优化船期的方法公开(公告)号：US20150324740A1
公开(公告)日：2015-11-12
申请号：US14688772
申请日：2015-04-16
申请人： Yufen Shao , Vikas Goel , Joshua R. Lowry , Bora Tarhan , Kevin C. Furman
发明人： Yufen Shao , Vikas Goel , Joshua R. Lowry , Bora Tarhan , Kevin C. Furman
CPC分类号： G06Q10/0631 , G06Q10/04 , G06Q10/0633 , G06Q10/0832 , G06Q50/06
摘要： A system and method is provided for generating an optimized ship schedule to deliver liquefied natural gas (LNG) from one or more LNG liquefaction terminals to one or more LNG regasification terminals using a fleet of ships. The method involves modeling the ship schedule via an LNG ship scheduling model and a LNG ship rescheduling model to provide optimized decisions for the LNG supply chain. The LNG supply chain includes the one or more LNG liquefaction terminals, the one or more LNG regasification terminals, and the fleet of ships.
摘要翻译： 提供了一种系统和方法，用于产生优化的船舶进度，以将液化天然气（LNG）从一个或多个LNG液化终端运送到使用船队的一个或多个LNG再气化终端。 该方法包括通过LNG船舶调度模型和LNG船舶重新调度模型对船舶计划进行建模，以为LNG供应链提供最佳决策。 LNG供应链包括一个或多个LNG液化终端，一个或多个LNG再气化终端和船队。
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5.发明授权Stochastic programming-based decision support tool for reservoir development planning 有权用于油藏开发规划的随机编程决策支持工具公开(公告)号：US08775361B2
公开(公告)日：2014-07-08
申请号：US12864987
申请日：2009-03-09
申请人： Vikas Goel , Kevin C. Furman
发明人： Vikas Goel , Kevin C. Furman
IPC分类号： G06F9/44
CPC分类号： G06Q10/06
摘要： A stochastic programming-based decision support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model incorporates the flexibility that a decision-maker has in the real world and allows the decision-maker to adjust the decisions based on new information. The model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated.
摘要翻译： 用于油藏开发规划的随机编程决策支持工具可以包括输入数据源，优化模型，用于模拟储层的高保真模型，以及与优化模型接口的一个或多个解决方案。 优化模型可以直接在优化模型中考虑具有不确定性的未知参数。 该模型结合了决策者在现实世界中的灵活性，并允许决策者根据新的信息调整决策。 该模型可以系统地处理不确定的数据，例如全面或甚至考虑所有不确定的数据。 因此，优化模型可以提供在不确定性空间上保持可行的灵活或可靠的解决方案。 一旦水库模型被优化，可能会产生最终的开发计划。
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6.发明申请System for optimizing transportation scheduling and inventory management of bulk product from supply locations to demand locations 有权用于优化从供应地点到需求地点的散装产品运输调度和库存管理的系统公开(公告)号：US20080294484A1
公开(公告)日：2008-11-27
申请号：US11802616
申请日：2007-05-24
IPC分类号： G06Q10/00
CPC分类号： G06Q10/08 , G06Q10/06316 , G06Q10/06375
摘要： An optimization system for transportation scheduling and inventory management of a bulk product from supply locations to demand locations is provided. The system has a mathematical model containing mathematical programming equations. In one embodiment, the objective function of the mathematical model is to minimize a cost basis of the product transported. The system also has a database system for data input that interfaces with the mathematical model. The last component of the system is a mathematical optimization solver that solves the equations provided by the mathematical model after the mathematical model receives data from the database system. As a result, the optimization system provides optimized or simulated results for the input data.
摘要翻译： 提供了从供应位置到需求位置的散装产品的运输调度和库存管理的优化系统。 该系统具有包含数学规划方程的数学模型。 在一个实施例中，数学模型的目标函数是使运输产品的成本基础最小化。 该系统还具有与数学模型接口的数据输入数据库系统。 该系统的最后一个组成部分是一个数学优化求解器，在数学模型从数据库系统接收数据之后，解决数学模型提供的方程式。 因此，优化系统为输入数据提供优化或模拟结果。
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7.发明授权Robust optimization-based decision support tool for reservoir development planning 有权用于油藏开发规划的稳健优化决策支持工具公开(公告)号：US08504335B2
公开(公告)日：2013-08-06
申请号：US12864959
申请日：2009-03-09
申请人： Kevin C. Furman , Vikas Goel
发明人： Kevin C. Furman , Vikas Goel
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , E21B43/00 , G06F2217/06 , G06F2217/16
摘要： A robust optimization-based decision support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model can systematically address uncertain data, for example, comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust optimization solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated.
摘要翻译： 用于油藏开发计划的强大的基于优化的决策支持工具可以包括输入数据源，优化模型，用于模拟储层的高保真模型以及与优化模型接口的一个或多个解决方案。 优化模型可以直接在优化模型中考虑具有不确定性的未知参数。 该模型可以系统地解决不确定的数据，例如，全面或甚至考虑所有不确定的数据。 因此，优化模型可以提供在不确定性空间上保持可行的灵活或可靠的优化解决方案。 一旦水库模型被优化，可能会产生最终的开发计划。
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8.发明授权System for optimizing transportation scheduling and inventory management of bulk product from supply locations to demand locations 有权用于优化从供应地点到需求地点的散装产品运输调度和库存管理的系统公开(公告)号：US08494976B2
公开(公告)日：2013-07-23
申请号：US11802616
申请日：2007-05-24
CPC分类号： G06Q10/08 , G06Q10/06316 , G06Q10/06375
摘要： An optimization system for transportation scheduling and inventory management of a bulk product from supply locations to demand locations is provided. The system has a mathematical model containing mathematical programming equations. In one embodiment, the objective function of the mathematical model is to minimize a cost basis of the product transported. The system also has a database system for data input that interfaces with the mathematical model. The last component of the system is a mathematical optimization solver that solves the equations provided by the mathematical model after the mathematical model receives data from the database system. As a result, the optimization system provides optimized or simulated results for the input data.
摘要翻译： 提供了从供应位置到需求位置的散装产品的运输调度和库存管理的优化系统。 该系统具有包含数学规划方程的数学模型。 在一个实施例中，数学模型的目标函数是使运输产品的成本基础最小化。 该系统还具有与数学模型接口的数据输入数据库系统。 该系统的最后一个组成部分是一个数学优化求解器，在数学模型从数据库系统接收数据之后，解决数学模型提供的方程式。 因此，优化系统为输入数据提供优化或模拟结果。
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9.发明申请公开(公告)号：US20100088142A1
公开(公告)日：2010-04-08
申请号：US12584239
申请日：2009-09-01
申请人： Amr S. El-Bakry , Jin-Hwa Song , Vikas Goel , Kevin C. Furman , Federico D. Carvallo , Sangbum Lee , James Dreher , Aristides Miroyannis , Richard Perry Connell
发明人： Amr S. El-Bakry , Jin-Hwa Song , Vikas Goel , Kevin C. Furman , Federico D. Carvallo , Sangbum Lee , James Dreher , Aristides Miroyannis , Richard Perry Connell
IPC分类号： G06Q10/00
CPC分类号： G06Q10/087 , G06Q10/06312 , G06Q10/08
摘要： The present invention is a computational system to generate feasible marine transportation schedules given a proposed bulk material supply chain. The decision support tool will fulfill the objectives and scope defined above. The technology employed will require (a) the use of mathematical programming modeling techniques (mixed integer linear programming) to mathematically formulate the business problem, and (b) advanced proprietary solution methods to produce solutions satisfying all constraints of the mathematical model while optimizing an objective function. The decision support tool has the following capabilities: Read input data, Generate feasible bulk material ship Schedule, Evaluate bulk material ship Schedule with User-defined Objective Function, Allow Case comparison, Graphical user interface (GUI) for specifying input data and displaying results.
摘要翻译： 本发明是一种计算系统，用于在提供的散装物料供应链的情况下生成可行的海运运输计划。 决策支持工具将实现上述目标和范围。 所使用的技术将需要（a）使用数学规划建模技术（混合整数线性规划）来数学地制定业务问题，（b）高级专有解决方案，以产生满足数学模型的所有约束的解决方案，同时优化目标 功能。 决策支持工具具有以下功能：读取输入数据，生成可行的散装物料船舶计划，使用用户定义的目标函数，允许案例比较，用于指定输入数据和显示结果的图形用户界面（GUI）来评估批量物料运输计划。
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公开(公告)号：US20150178649A1
公开(公告)日：2015-06-25
申请号：US14550458
申请日：2014-11-21
申请人： Kevin C. Furman , Vikas Goel , Joshua R. Lowry , Yufen Shao
发明人： Kevin C. Furman , Vikas Goel , Joshua R. Lowry , Yufen Shao
IPC分类号： G06Q10/06
CPC分类号： G06Q10/06312
摘要： A system, including: a memory that stores computer executable instructions; and processing circuitry that executes the instructions in order to, generate a graphical user interface, which includes an intelligent Gantt chart that displays a working schedule of a task assigned to a resource, receive a command to change the working schedule, integrate the change into the working schedule, and update and display a performance metric based on the change.
摘要翻译： 一种系统，包括：存储计算机可执行指令的存储器; 以及执行指令以便生成图形用户界面的处理电路，所述图形用户界面包括显示分配给资源的任务的工作时间表的智能甘特图，接收改变所述工作进度的命令，将所述改变整合到 工作时间表，并根据更改更新和显示性能指标。
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