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公开(公告)号：US20160313463A1
公开(公告)日：2016-10-27
申请号：US15011135
申请日：2016-01-29
IPC分类号： G01V1/28
CPC分类号： G01V1/28 , G01V1/30 , G01V1/301 , G01V99/00 , G01V2210/64 , G06N99/005
摘要： A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.
摘要翻译： 一种基于来自地震数据的测量对一个或多个地震表面或表面斑块进行分类的方法，包括：由计算机获得包括多个先前获得和标记的地震表面或表面斑块的训练集和一个或多个训练地震属性 在地震表面上方，上方和/或下方测量或计算; 通过计算机获得一个或多个未分类的地震表面或表面贴片以及在未分类的地震表面上方，上方和/或下方测量或计算的一个或多个地震属性; 通过计算机学习从先前获得的和标记的地震表面或表面贴片以及一个或多个训练地震属性的分类模型; 并根据分类模型和未分类的地震表面或表面贴片之间的比较，由计算机对未分类的地震表面或表面斑块进行分类。
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公开(公告)号：US20190113638A1
公开(公告)日：2019-04-18
申请号：US16162916
申请日：2018-10-17
摘要： A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.
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公开(公告)号：US20160377753A1
公开(公告)日：2016-12-29
申请号：US15092766
申请日：2016-04-07
CPC分类号： G01V1/345 , G01V1/302 , G01V2210/64 , G01V2210/643
摘要： A method to select a representative subset of a plurality of horizon surfaces or surface patches from geophysical subsurface imaging data, including: defining a score function on one or more horizon surfaces or surface patches; calculating, by a computer, the score for each of the plurality of horizon surfaces or surface patches with regard to other horizon surfaces or surface patches and whether the other horizon surfaces or surface patches have been selected or not for inclusion or exclusion in the subset of the plurality of horizon surfaces; selecting, by a computer, one or more of the plurality of horizon surfaces or surface patches to be included in the subset of the plurality of horizon surfaces or surface patches or excluded from the subset of the plurality of horizon surfaces or surface patches based on their respective scores; iteratively repeating the selecting and calculating steps until a stopping condition is reached and the subset of the plurality of horizon surfaces or surface patches is determined; and performing interpretation on the subset of the plurality of horizon surfaces or surfaces patches.
摘要翻译： 一种从地球物理地下成像数据中选择多个地平线表面或表面斑块的代表子集的方法，包括：在一个或多个水平面或表面斑块上定义分数函数; 通过计算机计算关于其他水平表面或表面贴片的多个水平面或表面贴片中的每一个的分数，以及是否已经选择了其他水平面或表面贴片以包含或排除在 多个水平面; 由计算机选择待包括在多个水平表面或表面贴片的子集中的多个水平面或表面贴片中的一个或多个，或者从多个水平面或子表面贴片的子集中排除出来 各分数 迭代地重复所述选择和计算步骤直到达到停止条件并确定所述多个水平面或表面贴片的子集; 以及对所述多个水平面或所述表面贴片的所述子集执行解释。
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公开(公告)号：US20140365409A1
公开(公告)日：2014-12-11
申请号：US14281382
申请日：2014-05-19
CPC分类号： G06N99/005 , E21B41/0092 , E21B43/00
摘要： Systems and methods for determining well parameters for optimization of well performance. The method includes training, via a computing system, a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled. The method also includes generating, via the computing system, a number of candidate well parameter combinations for the well and predicting, via the computing system, a performance of the well for each candidate well parameter combination using the trained well performance predictor. The method further includes determining, via the computing system, an optimized well parameter combination for the well such that the predicted performance of the well is maximized.
摘要翻译： 用于确定井表现优化的井参数的系统和方法。 该方法包括通过计算系统训练基于对应于其中钻井的烃场的场数据的井性能预测器。 该方法还包括通过计算系统生成井的多个候选井参数组合，并且经由计算系统使用训练好的井表现预测器预测每个候选井参数组合的井的性能。 该方法还包括经由计算系统确定井的优化井参数组合，使得井的预测性能最大化。
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公开(公告)号：US20140365132A1
公开(公告)日：2014-12-11
申请号：US14272581
申请日：2014-05-08
CPC分类号： G06F17/30598 , G01V1/301 , G01V1/306 , G01V2210/641 , G01V2210/644 , G06K9/00214 , G06K9/342
摘要： Method for decomposing a complexly shaped object in a data set, such as a geobody (31) in a seismic data volume, into component objects more representative of the true connectivity state of the system represented by the data set. The geobody is decomposed using a basis set of eigenvectors (33) of a connectivity matrix (32) describing the state of connectivity between voxels in the geobody. Lineal subspaces of the geobody in eigenvector space are associated with likely component objects (34), either by a human interpreter (342) cross plotting (341) two or more eigenvectors, or in an automated manner in which a computer algorithm (344) detects the lineal sub-spaces and the clusters within them.
摘要翻译： 将诸如地震数据卷中的地质体（31）的数据集中的复杂形状的物体分解成更代表由数据集表示的系统的真实连接状态的组件对象的方法。 使用描述地理体中的体素之间的连接状态的连通性矩阵（32）的特征向量（33）的基本集来分解地质体。 特征向量空间中的地理体的线性子空间可以通过人类解释器（342）交叉绘图（341）两个或多个特征向量或以计算机算法（344）检测到的自动方式与可能的组件对象（34）相关联 线性子空间及其中的群集。
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