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    • 1. 发明授权
    • Method for optimization with gradient information
    • 梯度信息优化方法
    • US08855987B2
    • 2014-10-07
    • US13390010
    • 2010-07-27
    • Matthias ImhofKaveh GhayourTao Sun
    • Matthias ImhofKaveh GhayourTao Sun
    • G06G7/48G01V11/00G01V1/30
    • G01V11/00G01V1/282G01V1/30G01V2210/614G01V2210/66G01V2210/661G01V2210/665
    • A method of improving a geologic model of a subsurface region. One or more sets of parameter values are selected. Each parameter represents a geologic property. A cost and a gradient of the cost are obtained for each set. A geometric approximation of a parameter space defined by one or more formations is constructed. A response surface model is generated expressing the cost and gradient associated with each formation. When a finishing condition is not satisfied, at least one additional set is selected based at least in part on the response surface model associated with previously selected sets. Parts of the method are repeated using successively selected additional sets to update the approximation and the response surface model until the finishing condition is satisfied. Sets having a predetermined level of cost to a geologic model of the subsurface region and/or their associated predicted outcomes are outputted to update the geologic model.
    • 一种改善地下区域地质模型的方法。 选择一组或多组参数值。 每个参数代表地质属性。 为每一组获得成本和成本梯度。 构造由一个或多个地层定义的参数空间的几何近似。 生成响应曲面模型,表示与每个组合相关联的成本和梯度。 当不满足整理条件时,至少部分地基于与先前选择的组相关联的响应面模型选择至少一个附加集合。 使用连续选择的附加集来重复该方法的部分以更新近似值和响应面模型,直到满足完成条件。 输出具有对地下区域的地质模型和/或其相关联的预测结果的预定成本水平的集合以更新地质模型。
    • 2. 发明申请
    • Method For Optimization With Gradient Information
    • 梯度信息优化方法
    • US20120143575A1
    • 2012-06-07
    • US13390010
    • 2010-07-27
    • Matthias ImhofKaveh GhayourTao Sun
    • Matthias ImhofKaveh GhayourTao Sun
    • G06G7/48G06F17/10
    • G01V11/00G01V1/282G01V1/30G01V2210/614G01V2210/66G01V2210/661G01V2210/665
    • A method of improving a geologic model of a subsurface region. One or more sets of parameter values are selected. Each parameter represents a geologic property. A cost and a gradient of the cost are obtained for each set. A geometric approximation of a parameter space defined by one or more formations is constructed. A response surface model is generated expressing the cost and gradient associated with each formation. When a finishing condition is not satisfied, at least one additional set is selected based at least in part on the response surface model associated with previously selected sets. Parts of the method are repeated using successively selected additional sets to update the approximation and the response surface model until the finishing condition is satisfied. Sets having a predetermined level of cost to a geologic model of the subsurface region and/or their associated predicted outcomes are outputted to update the geologic model.
    • 一种改善地下区域地质模型的方法。 选择一组或多组参数值。 每个参数代表地质属性。 为每一组获得成本和成本梯度。 构造由一个或多个地层定义的参数空间的几何近似。 生成响应曲面模型,表示与每个组合相关联的成本和梯度。 当不满足整理条件时,至少部分地基于与先前选择的组相关联的响应面模型选择至少一个附加集合。 使用连续选择的附加集来重复该方法的部分以更新近似值和响应面模型,直到满足完成条件。 输出具有对地下区域的地质模型和/或其相关联的预测结果的预定成本水平的集合以更新地质模型。
    • 3. 发明授权
    • Gradient-based workflows for conditioning of process-based geologic models
    • 基于过程的地质模型的基于梯度的工作流程
    • US08612195B2
    • 2013-12-17
    • US13148642
    • 2009-12-03
    • Tao SunKaveh GhayourMatthias Imhof
    • Tao SunKaveh GhayourMatthias Imhof
    • G06G7/48
    • G01V11/00
    • A method for correlating predicted data describing a subsurface region with obtained data describing the subsurface region is provided. Data is obtained describing an initial state of the subsurface region. Data describing a subsequent state of the subsurface region is predicted. A likelihood measure that determines whether the predicted data is within an acceptable range of the obtained data is dynamically and/or interactively updated. The predicted data is compared with the obtained data using the likelihood measure and determining a sensitivity of the predicted data if the predicted data is not within an acceptable range of the obtained data as measured by the likelihood measure. Data describing the initial state of the subsurface region is adjusted based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region. The predicted data is outputted.
    • 提供了一种将描述地下区域的预测数据与获得的描述地下区域的数据相关联的方法。 获得描述地下区域的初始状态的数据。 预测描述地下区域的后续状态的数据。 确定预测数据是否在所获得的数据的可接受范围内的似然度量被动态地和/或交互地更新。 如果预测数据不在通过似然度量测量得到的数据的可接受范围内,则将预测数据与所获得的数据进行比较,并使用似然度量确定预测数据的灵敏度。 描述地下区域的初始状态的数据在执行后续迭代预测描述地下区域的后续状态的数据之前基于灵敏度进行调整。 输出预测数据。
    • 4. 发明申请
    • Gradient-Based Workflows For Conditioning Of Process-Based Geologic Models
    • 基于过程的地质模型的基于梯度的工作流程
    • US20110315376A1
    • 2011-12-29
    • US13148642
    • 2009-12-03
    • Tao SunKaveh GhayourMatthias Imhof
    • Tao SunKaveh GhayourMatthias Imhof
    • E21B43/00G06F7/60
    • G01V11/00
    • A method for correlating predicted data describing a subsurface region with obtained data describing the subsurface region is provided. Data is obtained describing an initial state of the subsurface region. Data describing a subsequent state of the subsurface region is predicted. A likelihood measure that determines whether the predicted data is within an acceptable range of the obtained data is dynamically and/or interactively updated. The predicted data is compared with the obtained data using the likelihood measure and determining a sensitivity of the predicted data if the predicted data is not within an acceptable range of the obtained data as measured by the likelihood measure. Data describing the initial state of the subsurface region is adjusted based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region. The predicted data is outputted.
    • 提供了一种将描述地下区域的预测数据与获得的描述地下区域的数据相关联的方法。 获得描述地下区域的初始状态的数据。 预测描述地下区域的后续状态的数据。 确定预测数据是否在所获得的数据的可接受范围内的似然度量被动态地和/或交互地更新。 如果预测数据不在通过似然度量测量得到的数据的可接受范围内,则将预测数据与所获得的数据进行比较,并使用似然度量确定预测数据的灵敏度。 描述地下区域的初始状态的数据在执行后续迭代之前基于灵敏度来调整,该迭代预测描述地下区域的后续状态的数据。 输出预测数据。
    • 5. 发明申请
    • Adjoint-Based Conditioning Of Process-Based Geologic Models
    • 基于过程的地质模型的相关调理
    • US20110308811A1
    • 2011-12-22
    • US13148643
    • 2009-12-03
    • Kaveh GhayourTao Sun
    • Kaveh GhayourTao Sun
    • E21B43/00G06G7/48
    • G01V1/30
    • A method for correlating data predicted by a processor physics-based geologic model to describe a subsurface region with obtained data describing the subsurface region. Data is obtained describing an initial state of the subsurface region. Data describing a subsequent state of the subsurface region is predicted. The predicted data is compared with the obtained data taking into account whether the obtained data or the predicted data represent a discontinuous event. A sensitivity of the predicted data is determined if the predicted data is not within an acceptable range of the obtained data. The data describing the initial state of the subsurface region is adjusted based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region. A representation of the subsurface region based on the data describing the subsequent state of the subsurface region is outputted.
    • 一种用于将由基于处理器物理学的地质模型预测的数据相关联以用描述地下区域的获得的数据描述地下区域的方法。 获得描述地下区域的初始状态的数据。 预测描述地下区域的后续状态的数据。 将预测数据与获得的数据进行比较,考虑所获得的数据或预测数据是否表示不连续事件。 如果预测数据不在所获得的数据的可接受范围内,则确定预测数据的灵敏度。 描述地下区域的初始状态的数据在执行后续迭代预测描述地下区域的后续状态的数据之前基于灵敏度被调整。 输出基于描述地下区域的后续状态的数据的地下区域的表示。
    • 6. 发明授权
    • Adjoint-based conditioning of process-based geologic models
    • 基于过程的地质模型的相关调节
    • US08892412B2
    • 2014-11-18
    • US13148643
    • 2009-12-03
    • Kaveh GhayourTao Sun
    • Kaveh GhayourTao Sun
    • G06F7/48E21B47/00G01V1/30
    • G01V1/30
    • A method for correlating data predicted by a processor physics-based geologic model to describe a subsurface region with obtained data describing the subsurface region. Data is obtained describing an initial state of the subsurface region. Data describing a subsequent state of the subsurface region is predicted. The predicted data is compared with the obtained data taking into account whether the obtained data or the predicted data represent a discontinuous event. A sensitivity of the predicted data is determined if the predicted data is not within an acceptable range of the obtained data. The data describing the initial state of the subsurface region is adjusted based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region. A representation of the subsurface region based on the data describing the subsequent state of the subsurface region is outputted.
    • 一种用于将由基于处理器物理学的地质模型预测的数据相关联以用描述地下区域的获得的数据描述地下区域的方法。 获得描述地下区域的初始状态的数据。 预测描述地下区域的后续状态的数据。 将预测数据与获得的数据进行比较,考虑所获得的数据或预测数据是否表示不连续事件。 如果预测数据不在所获得的数据的可接受范围内,则确定预测数据的灵敏度。 描述地下区域的初始状态的数据在执行后续迭代预测描述地下区域的后续状态的数据的灵敏度之前被调整。 输出基于描述地下区域的后续状态的数据的地下区域的表示。
    • 7. 发明申请
    • Highly Integrated Foldable Array
    • 高度集成的可折叠阵列
    • US20160211795A1
    • 2016-07-21
    • US14915231
    • 2014-08-11
    • Tao Sun
    • Tao Sun
    • H02S30/20
    • H02S30/20H02S20/10H02S20/30
    • A highly integrated foldable photovoltaic array comprising at least two PV modules integrated boards and at least one intermediate support structure, at least two fixed hinges on the intermediate support structure; respectively by a hinge connection between the PV modules integrated with the intermediate support plate structure; at least two PV modules integrated plate in contact with the ground; the area of all PV modules on the photovoltaic array is greater than 18 square meters. The present invention may integrate foundations, brackets, cables, photovoltaic modules, inverters, combiner box, optimizer, PV module power detecting device, plug socket, etc. The highly integrated foldable photovoltaic array reduce intermediate process, thus greatly improve the speed of installation, expand its use, reduce installation costs. Its low profile greatly reduce the wind resistance.
    • 一种高度集成的可折叠光伏阵列,包括至少两个PV模块集成板和至少一个中间支撑结构,中间支撑结构上至少有两个固定铰链; 分别通过与中间支撑板结构集成的PV模块之间的铰链连接; 至少两个PV模块与地面接触; 光伏阵列上所有光伏组件的面积大于18平方米。 本发明可以集成基础,支架,电缆,光伏模块,逆变器,组合箱,优化器,PV模块功率检测装置,插座等。高度集成的可折叠光伏阵列减少了中间过程,从而大大提高了安装速度, 扩大使用,降低安装成本。 其低调大大降低了风阻。
    • 9. 发明申请
    • Photovoltaic Array Using Integrated Boards
    • 使用集成电路板的光伏阵列
    • US20160079908A1
    • 2016-03-17
    • US14774246
    • 2014-03-05
    • Tao SUN
    • Tao Sun
    • H02S20/00
    • H02S20/00F24S25/10F24S25/40Y02E10/50
    • A photovoltaic array using photovoltaic module integrated boards comprises at least two cross beams and at least two photovoltaic module integrated boards; the angle between the longitudinal axes of the at least two beams is less than 15 degrees; the angle between the longitudinal axis of at least one beams and the longitudinal axis of the at least two photovoltaic module integrated boards is not less than 30 degrees and not more than 150 degrees; and the total area of all the photovoltaic module integrated boards supported by at least one group of the beams is more than 12 square meters. The present invention is designed to share beams, columns and foundations, thus saving materials and installation time and greatly reducing cost.
    • 使用光伏模块集成板的光伏阵列包括至少两个横梁和至少两个光伏模块集成板; 所述至少两个梁的纵向轴线之间的角度小于15度; 至少一个光束的纵向轴线与至少两个光伏模块集成板的纵向轴线之间的角度不小于30度且不超过150度; 并且由至少一组梁支撑的所有光伏模块集成板的总面积大于12平方米。 本发明设计用于共享梁,立柱和基座,从而节省材料和安装时间,大大降低成本。
    • 10. 发明申请
    • Method for Predicting Fluid Flow
    • 流体流动预测方法
    • US20150227655A1
    • 2015-08-13
    • US14692474
    • 2015-04-21
    • Tao SunDachang Li
    • Tao SunDachang Li
    • G06F17/50G01V99/00G06F17/10
    • G01V99/00G01V99/005G06F17/10G06F17/5009
    • A method of enhancing a geologic model of a subsurface region is provided. A bed topography of the subsurface region is obtained. The bed topography is defined by a plurality of cells with an elevation associated with each cell center. The bed topography is represented as a cell-centered piecewise constant representation based on the elevations associated with the cells. The bed topography is reconstructed to produce a spatially continuous surface. Flux and gravitational force-related source terms are calculated based on the reconstructed bed topography. Fluxes are calculated between at least two of the cells. Fluid flow, deposition of sediments onto the bed, and/or erosion of sediments from the bed are predicted using the fluxes and gravitational force-related source terms. The predictions are inputted into the geologic model to predict characteristics of the subsurface region, and the predicted characteristics are outputted.
    • 提供了一种增强地下区域地质模型的方法。 获得地下区域的床形地貌。 床形状由具有与每个细胞中心相关联的高度的多个细胞定义。 基于与细胞相关联的高度,床形状表示为以细胞为中心的分段常数表示。 床形状被重建以产生空间连续的表面。 基于重构床形貌计算通量和重力相关源项。 在至少两个细胞之间计算通量。 流体流动,沉积物沉积到床上,和/或从床上沉积物的侵蚀是使用流量和重力相关的源项预测的。 将预测输入到地质模型中,以预测地下区域的特征,并输出预测特征。