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1. 发明申请

US20120101786A1 METHOD FOR PARAMETERIZING AND MORPHING STOCHASTIC RESERVOIR MODELS 有权
标题翻译：参数化和变形储层储层模型的方法
公开(公告)号：US20120101786A1
公开(公告)日：2012-04-26
申请号：US13271727
申请日：2011-10-12
申请人： Lin Ying Hu , Yongshe Liu
发明人： Lin Ying Hu , Yongshe Liu
IPC分类号： G06F17/10
CPC分类号： G01V99/005 , G01V2210/665
摘要： A method for creating a modified realization of a geostatistical model of a subterranean hydrocarbon reservoir is described, which may be used in a history matching process. The modified realization is based on a current realization which is a function of a first uniform random number field. At least one further uniform random number field Ui is created and a linear combination made of the first uniform random number field and the further uniform random number field or fields Ui, together with combination coefficients r to derive a modified non-uniform random number field V. A uniform score transformation procedure is then performed, e.g. using an empirical cumulative distribution function, on the modified non-uniform number field V, to derive a modified uniform random number field Umod. A modified realization of the model can then be derived from the uniform random number field Umod.
摘要翻译：描述了用于创建地下油气藏的地统计模型的修改实现的方法，其可以用于历史匹配过程。修改后的实现基于作为第一均匀随机数字段的函数的当前实现。创建至少一个进一步的均匀随机数字段Ui，并且由第一均匀随机数字段和进一步的统一随机数字段或字段Ui组合的线性组合连同组合系数r一起导出修改的非均匀随机数字段V 然后执行统一的分数转换过程，例如使用经验累积分布函数，对经修改的非均匀数字字段V，导出修正的均匀随机数字段Umod。然后可以从均匀随机数字段Umod导出修改后的模型实现。

2. 发明申请

US20130110484A1 RESERVOIR MODELLING WITH MULTIPLE POINT STATISTICS FROM A NON-STATIONARY TRAINING IMAGE 审中-公开
标题翻译：来自非静态训练图像的多点统计的储层建模
公开(公告)号：US20130110484A1
公开(公告)日：2013-05-02
申请号：US13551801
申请日：2012-07-18
申请人： Lin Ying Hu , Yongshe Liu
发明人： Lin Ying Hu , Yongshe Liu
IPC分类号： G06G7/48 , G06F17/10
CPC分类号： E21B49/00 , G01V99/005 , G06T17/05
摘要： A multiple point simulation technique for generating a model realization of a subterranean formation having different facies is described which uses a non-stationary training image which reflects facies spatial trends across the formation. The realization is formed by sequentially populating each cell; a facies pattern of neighboring cells is identified for each cell in the model grid, and then corresponding facies patterns identified in the training image. The probability of a target cell in the model grid having a given facies is calculated based on the proportion of occurrences of the corresponding facies pattern where the central cell has that facies. The contribution of each corresponding facies pattern occurrence in the training image to this proportion or probability is weighted according to the distance between its central cell and the training image cell corresponding in location to the target cell in the model grid.
摘要翻译：描述了一种用于产生具有不同相的地下地层的模型实现的多点模拟技术，其使用反映整个地层的相空间趋势的非平稳训练图像。通过依次填充每个单元格来形成实现; 为模型网格中的每个单元识别相邻单元的相图，然后在训练图像中识别相应的相图。基于具有该相的相应相图的出现比例来计算具有给定相的模型网格中的目标单元的概率。将训练图像中的每个对应的相图发生在该比例或概率上的贡献根据其在中心单元与在模型网格中的目标单元的位置对应的训练图像单元之间的距离进行加权。

3. 发明授权

US10519766B2 Reservoir modelling with multiple point statistics from a non-stationary training image 有权
公开(公告)号：US10519766B2
公开(公告)日：2019-12-31
申请号：US13551801
申请日：2012-07-18
申请人： Lin Ying Hu , Yongshe Liu
发明人： Lin Ying Hu , Yongshe Liu
IPC分类号： E21B49/00 , G01V99/00 , G06T17/05
摘要： A multiple point simulation technique for generating a model realization of a subterranean formation having different facies is described which uses a non-stationary training image which reflects facies spatial trends across the formation. The realization is formed by sequentially populating each cell; a facies pattern of neighboring cells is identified for each cell in the model grid, and then corresponding facies patterns identified in the training image. The probability of a target cell in the model grid having a given facies is calculated based on the proportion of occurrences of the corresponding facies pattern where the central cell has that facies. The contribution of each corresponding facies pattern occurrence in the training image to this proportion or probability is weighted according to the distance between its central cell and the training image cell corresponding in location to the target cell in the model grid.

4. 发明授权

US08942966B2 Method for parameterizing and morphing stochastic reservoir models 有权
标题翻译：参数化和变形随机储层模型的方法
公开(公告)号：US08942966B2
公开(公告)日：2015-01-27
申请号：US13271727
申请日：2011-10-12
申请人： Lin Ying Hu , Yongshe Liu
发明人： Lin Ying Hu , Yongshe Liu
IPC分类号： G01V99/00 , G06F17/18 , G06F19/00
CPC分类号： G01V99/005 , G01V2210/665
摘要： A method for creating a modified realization of a geostatistical model of a subterranean hydrocarbon reservoir is described, which may be used in a history matching process. The modified realization is based on a current realization which is a function of a first uniform random number field. At least one further uniform random number field Ui is created and a linear combination made of the first uniform random number field and the further uniform random number field or fields Ui, together with combination coefficients ri, to derive a modified non-uniform random number field V. A uniform score transformation procedure is then performed, e.g. using an empirical cumulative distribution function, on the modified non-uniform number field V, to derive a modified uniform random number field Umod. A modified realization of the model can then be derived from the uniform random number field Umod.
摘要翻译：描述了用于创建地下油气藏的地统计模型的修改实现的方法，其可以用于历史匹配过程。修改后的实现基于作为第一均匀随机数字段的函数的当前实现。创建至少一个进一步的均匀随机数字段U i，并且由第一均匀随机数字段和进一步的均匀随机数字段或场Ui以及组合系数ri组合的线性组合，以导出修改的非均匀随机数字段然后执行统一的分数变换过程，例如使用经验累积分布函数，对经修改的非均匀数字字段V，导出修正的均匀随机数字段Umod。然后可以从均匀随机数字段Umod导出修改后的模型实现。

5. 发明申请

US20120265512A1 UPDATING GEOLOGICAL FACIES MODELS USING THE ENSEMBLE KALMAN FILTER 审中-公开
标题翻译：使用可卡尔曼过滤器更新地质物理模型
公开(公告)号：US20120265512A1
公开(公告)日：2012-10-18
申请号：US13422070
申请日：2012-03-16
申请人： Lin Ying Hu , Yong Zhao , Yongshe Liu
发明人： Lin Ying Hu , Yong Zhao , Yongshe Liu
IPC分类号： G06G7/48
CPC分类号： G01V99/005 , G01V2210/663 , G01V2210/665 , G06F17/5009 , G06F2217/16
摘要： The invention relates to a method for history matching a facies geostatistical model using the ensemble Kalman filter (EnKF) technique. The EnKF is not normally appropriate for discontinuous facies models such as multiple point simulation (MPS). In the method of the invention, an ensemble of realizations are generated and then uniform vectors on which those realizations are based are transformed to Gaussian vectors before applying the EnKF to the Gaussian vectors directly. The updated Gaussian vectors are then transformed back to uniform vectors which are used to update the realizations. The uniform vectors may be vectors on which the realizations are based directly; alternatively each realization may be based on a plurality of uniform vectors linearly combined with combination coefficients. In this case each realization is associated with a uniform vector made up from the combination coefficients, and the combination coefficient vector is then transformed to Gaussian and updated using EnKF.
摘要翻译：本发明涉及一种使用综合卡尔曼滤波（EnKF）技术对相位地统计模型进行历史匹配的方法。 EnKF通常不适用于不连续相模型，如多点模拟（MPS）。在本发明的方法中，生成实现集合，然后将这些实现所基于的均匀向量在将EnKF直接应用于高斯向量之前被变换为高斯向量。然后将更新的高斯向量转换回用于更新实现的均匀向量。均匀向量可以是实现基础的向量直接; 或者每个实现可以基于与组合系数线性组合的多个均匀向量。在这种情况下，每个实现与由组合系数组成的均匀向量相关联，然后将组合系数向量转换为高斯并使用EnKF更新。

6. 发明授权

US10545260B2 Updating geological facies models using the Ensemble Kalman filter 有权
公开(公告)号：US10545260B2
公开(公告)日：2020-01-28
申请号：US13422070
申请日：2012-03-16
申请人： Lin Ying Hu , Yong Zhao , Yongshe Liu
发明人： Lin Ying Hu , Yong Zhao , Yongshe Liu
IPC分类号： G01V99/00
摘要： The invention relates to a method for history matching a facies geostatistical model using the ensemble Kalman filter (EnKF) technique. The EnKF is not normally appropriate for discontinuous facies models such as multiple point simulation (MPS). In the method of the invention, an ensemble of realizations are generated and then uniform vectors on which those realizations are based are transformed to Gaussian vectors before applying the EnKF to the Gaussian vectors directly. The updated Gaussian vectors are then transformed back to uniform vectors which are used to update the realizations. The uniform vectors may be vectors on which the realizations are based directly; alternatively each realization may be based on a plurality of uniform vectors linearly combined with combination coefficients. In this case each realization is associated with a uniform vector made up from the combination coefficients, and the combination coefficient vector is then transformed to Gaussian and updated using EnKF.

7. 发明授权

US08775142B2 Stochastic downscaling algorithm and applications to geological model downscaling 有权
标题翻译：随机降尺度算法和应用到地质模型降尺度
公开(公告)号：US08775142B2
公开(公告)日：2014-07-08
申请号：US13028811
申请日：2011-02-16
申请人： Yongshe Liu , Patrick M. Wong
发明人： Yongshe Liu , Patrick M. Wong
IPC分类号： G06G7/48 , G06G7/60
CPC分类号： G01V1/325 , G01V99/005 , G01V2210/6652
摘要： A computer-aided method of downscaling a three-dimensional geological model by generating numerical stochastic fine-scale models conditioning to data of different scales and capturing spatial uncertainties which involves a downscaling algorithm.
摘要翻译：通过生成数值随机精细尺度模型调节不同尺度的数据并捕获涉及缩小算法的空间不确定度来缩小三维地质模型的计算机辅助方法。

8. 发明申请

US20110282635A1 STOCHASTIC DOWNSCALING ALGORITHM AND APPLICATIONS TO GEOLOGICAL MODEL DOWNSCALING 有权
标题翻译： STOCHASTIC DOWNSCALING算法和应用于地质模型
公开(公告)号：US20110282635A1
公开(公告)日：2011-11-17
申请号：US13028811
申请日：2011-02-16
申请人： Yongshe Liu , Patrick M. Wong
发明人： Yongshe Liu , Patrick M. Wong
IPC分类号： G06F17/10
CPC分类号： G01V1/325 , G01V99/005 , G01V2210/6652
摘要： A computer-aided method of downscaling a three-dimensional geological model by generating numerical stochastic fine-scale models conditioning to data of different scales and capturing spatial uncertainties which involves a downscaling algorithm.
摘要翻译：通过生成数值随机微尺度模型调节不同尺度的数据并捕获涉及缩小算法的空间不确定性，来缩小三维地质模型的计算机辅助方法。

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