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1.发明申请Method of upscaling absolute permeabilities to construct a flow simulation model 有权提高绝对渗透率以构建流动模拟模型的方法公开(公告)号：US20060277012A1
公开(公告)日：2006-12-07
申请号：US11443256
申请日：2006-05-31
IPC分类号： G06G7/48
CPC分类号： G01V11/00
摘要： The invention is a method for calculating the inter-cell absolute permeability values associated with a reservoir model at the scale of the flow simulations representative of the porous medium from the absolute permeability values associated with a geologic model representative of the same porous medium.
摘要翻译： 本发明是一种用于根据与表示相同多孔介质的地质模型相关的绝对渗透率值，以表示多孔介质的流动模拟的尺度来计算与储层模型相关的单元间绝对渗透率值的方法。
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2.发明申请Method intended for gradual, deformation of a boolean model simulating a heterogeneous medium, constrained to dynamic data 失效用于逐渐变形模拟异质介质的布尔模型的方法，约束到动态数据公开(公告)号：US20050015226A1
公开(公告)日：2005-01-20
申请号：US10893390
申请日：2004-07-19
CPC分类号： G01V99/00 , G01V2210/665
摘要： Method intended for gradual deformation of a Boolean model allowing to best simulate the spatial configuration, in a heterogeneous underground zone, of geologic objects defined by physical quantities. The model is optimized by means of an iterative optimization process from realizations including each objects whose number is a random Poisson variable of determined mean, and by minimizing an objective function. In order to impose a continuity in the evolution of said objects in size, number, positions, within the model, a combined realization obtained by combining on the one hand an initial realization comprising a certain number of objects corresponding to a first mean value and at least another independent realization having another number of objects corresponding to a second mean value is constructed, this combination being such that the resulting number of objects has a mean value equal to the sum of the first and of the second mean value and that this mean value is also that defined by the model. Furthermore, the size of the objects is associated with the procedure for generating the number of objects so as to make an object appear or disappear progressively. Application: construction of a Boolean underground reservoir model allowing to simulate the configuration of various heterogeneities: fractures, channels, etc.
摘要翻译： 用于布尔模型的逐渐变形的方法，允许最佳地模拟在异质地下区域中由物理量定义的地质物体的空间配置。 该模型通过来自实现的迭代优化过程进行优化，包括每个对象的数量是确定平均值的随机泊松变量，并通过最小化目标函数。 为了对所述对象在模型中的大小，数量，位置的演变施加连续性，通过组合一个包含一定数量的对应于第一平均值的对象的初始实现和 构造具有对应于第二平均值的另一数目的对象的另一独立实现，该组合使得所得到的对象数目具有等于第一和第二平均值之和的平均值，并且该平均值 也是由模型定义的。 此外，对象的大小与用于生成对象数量的过程相关联，以使对象逐渐出现或消失。 应用：建立一个布尔地下储层模型，允许模拟各种异质性的构造：裂缝，通道等
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公开(公告)号：US20060058965A1
公开(公告)日：2006-03-16
申请号：US11220585
申请日：2005-09-08
CPC分类号： G01V11/00 , G01V99/005 , G01V2210/665
摘要： A method having application notably to the development of petroleum for fast generation of a geostatistical reservoir model on flexible grid, representative of a porous heterogeneous medium. A flexible grid best discretizing the medium is first generated. A regular Cartesian grid whose cell size, in a given direction, is greater than or equal to the largest size of the cell of the flexible grid in the same direction is then generated. On this Cartesian grid, at least one realization of petrophysical quantities characteristic of the heterogeneous medium is simulated from a geostatistical simulator. Then, this realization is resampled with a smaller discretization interval in order to know the petrophysical value associated with the realization at any point of the medium. Finally, the values of the simulated petrophysical properties are assigned to the center of the cells of the flexible grid.
摘要翻译： 一种特别用于石油开发的方法，用于快速产生柔性网格上的地质统计储层模型，代表多孔异质介质。 首先产生最佳离散介质的柔性网格。 然后，生成在给定方向上其单元尺寸大于或等于柔性网格在相同方向上的单元的最大尺寸的常规笛卡尔网格。 在该笛卡尔网格上，从地统计模拟器模拟了异质介质的岩石物理量特征的至少一个实现。 然后，以较小的离散间隔对该实现进行重采样，以便知道与介质任何点处的实现相关的岩石物理值。 最后，将模拟岩石物理性质的值分配给柔性网格的单元格的中心。
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4.发明申请Method of constraining a heterogeneous permeability field representing an underground reservoir by dynamic data 失效通过动态数据约束代表地下储层的异质渗透率场的方法公开(公告)号：US20050010383A1
公开(公告)日：2005-01-13
申请号：US10615772
申请日：2003-07-10
CPC分类号： G01V1/282 , G01V11/00 , G01V2210/612
摘要： A method of constraining a stochastic model of Gaussian or related type, representing a porous medium such as an underground reservoir, to data characteristic of the displacement of the fluids is disclosed. The method is based on an iterative development in two stages. The first stage carries out a flow simulation, in identifying zones inside the reservoir and in estimating the modification to be brought to the effective permeabilities of these zones so as to improve calibration between the real data and the corresponding responses obtained with the flow simulator. The second stage involves an intermediate optimization problem intended to minimize an intermediate objective function (implemented from a gradual deformation technique) measuring the difference between the effective permeabilities calculated for the zones and the effective permeabilities identified during the first stage for better calibration.
摘要翻译： 公开了一种将表示诸如地下储层的多孔介质的高斯或相关类型的随机模型约束到流体位移的数据特征的方法。 该方法基于两个阶段的迭代开发。 第一阶段进行流动模拟，识别储层内的区域，并估计对这些区域的有效渗透率进行修改，以便改善实际数据与用流动模拟器获得的相应响应之间的校准。 第二阶段涉及中间优化问题，旨在最小化中间目标函数（由逐渐变形技术实现），测量针对区域计算的有效渗透率与在第一阶段中识别的有效渗透率之间的差异以进行更好的校准。
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5.发明申请Method for more rapidly producing the representative stochastic model of a heterogeneous underground reservoir defined by uncertain static and dynamic data 失效用于更快速地生成由不确定的静态和动态数据定义的异质地下储层的代表性随机模型的方法公开(公告)号：US20060149520A1
公开(公告)日：2006-07-06
申请号：US10546452
申请日：2004-02-18
IPC分类号： G06G7/48
CPC分类号： G01V11/00 , G01V2210/665
摘要： Method for more rapidly forming a stochastic model of Gaussian or Gaussian-related type, representative of a porous heterogeneous medium such as an underground reservoir, constrained by data characteristic of the displacement of fluids and punctual observations, these observations being uncertain and characterized by a probability law. It is based on a method for transforming static information, given in form of probability laws, into Gaussian punctual pseudo-data. This transformation technique has the advantage of being fully compatible with a gradual deformation method. In fact, it makes it possible to minimize an objective function J measuring the difference between the dynamic data (production data for example) and the corresponding responses simulated for the reservoir model considered. Minimization is carried out by combining realizations of a stochastic model on the one hand for the reservoir model and, on the other hand, for the Gaussian pseudo-data representative of the static information. During the minimization process, the combination coefficients are adjusted and the realizations allowing to reduce the objective function are identified. Application notably to petroleum reservoir development for example.
摘要翻译： 用于更快速地形成高斯或高斯相关类型的随机模型的方法，代表由诸如流体位移和准时观测的数据特征所约束的诸如地下储层的多孔异质介质，这些观测是不确定的并且以概率为特征 法。 它是基于将以概率法形式给出的静态信息转换为高斯准时伪数据的方法。 这种变换技术具有与逐渐变形方法完全兼容的优点。 事实上，它使得可以最小化测量动态数据（例如生产数据）与所考虑的油藏模型的相应响应之间的差异的目标函数J。 通过将库存模型的随机模型的实现与静态信息的高斯伪数据相结合，实现最小化。 在最小化过程中，调整组合系数，并确定允许减少目标函数的实现。 尤其适用于石油储层开发。
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6.发明申请Method of simulating by fast fourier transforms flows in a heterogeneous porous medium 失效通过快速傅里叶变换模拟的方法在异质多孔介质中流动公开(公告)号：US20050256688A1
公开(公告)日：2005-11-17
申请号：US11127090
申请日：2005-05-12
CPC分类号： G01V1/306
摘要： The invention is a method for fast simulation of the flow of a single and incompressible fluid in a heterogeneous porous medium such as an aquifer or a petroleum reservoir having application to the development of petroleum reservoirs. After discretizing the medium by means of a grid, a permeability field is determined from which a diffusivity equation is directly solved in the spectral domain by an iterative procedure involving fast Fourier transforms. A first algorithm directly manages the pressures and velocities, but it may be slow for great permeability contrasts. A second algorithm, which introduces an intermediate variable updated at each iteration, allows faster processing of greater permeability contrasts than the first algorithm. The third algorithm, based on increased Lagrangian, allows consideration of infinite permeability contrasts. The algorithms allow simulation of flows in weakly to highly heterogeneous media, with a reduced computing time.
摘要翻译： 本发明是用于快速模拟在应用于开发石油储层的异质多孔介质如含水层或石油储层中的单一和不可压缩流体的流动的方法。 在通过网格离散介质之后，确定通过涉及快速傅立叶变换的迭代过程在扩频系数中直接求解扩散系数的磁导率场。 第一种算法直接管理压力和速度，但对于较大的透气性对比度来说可能较慢。 引入在每次迭代更新的中间变量的第二种算法允许比第一种算法更快地处理更大的渗透性对比度。 第三种算法，基于增加的拉格朗日，允许考虑无限渗透率对比。 这些算法允许在弱到高度异质的介质中模拟流，减少计算时间。
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7.发明申请公开(公告)号：US20060241920A1
公开(公告)日：2006-10-26
申请号：US11114182
申请日：2005-04-26
IPC分类号： G06F17/10
CPC分类号： G01V11/00 , G01V2210/665
摘要： Method of reconstructing a stochastic realization, continuous or discrete, resulting from a random function representing a numerical model, that can be representative of a porous heterogeneous medium such as an underground reservoir. It is based on identification, for a given realization, of a random function and of a set of random numbers allowing, from a given geostatistical simulator, to reconstruct the reference realization. The reconstruction techniques proposed are either general or specific to a type of geostatistical simulator. They concern the sphere of optimization, relaxation, filtering and sequential approaches. The reconstruction method allows to estimate a set of random numbers for regenerating the reference realization, this reference realization can then be locally or globally modified, by gradual deformation, so as to better reproduce newly acquired dynamic data (production data for example). Application: notably oil reservoir development for example.
摘要翻译： 重建由表示数值模型的随机函数产生的连续或离散的随机实现的方法，其可以代表诸如地下储层的多孔异质介质。 它基于对给定的实现的识别，随机函数和一组随机数的识别，允许从给定的地统计模拟器重建参考实现。 所提出的重建技术对于一种地统计模拟器是一般的或特定的。 它们涉及优化，放松，过滤和顺序方法的领域。 重建方法允许估计用于再生参考实现的一组随机数，然后可以通过逐渐变形来本地或全局地修改该参考实现，以便更好地再现新获取的动态数据（例如生产数据）。 适用范围：特别是油藏开发。
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