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1. 发明授权

US08849623B2 Systems and methods for reservoir development and management optimization 有权
标题翻译：油藏开发与管理优化的系统与方法
公开(公告)号：US08849623B2
公开(公告)日：2014-09-30
申请号：US13131793
申请日：2009-09-14
申请人： Federico D. Carvallo , Cassandra M. McZeal , Anoop A. Mullur , Vikas Goel
发明人： Federico D. Carvallo , Cassandra M. McZeal , Anoop A. Mullur , Vikas Goel
IPC分类号： G06F7/60 , G06F17/10 , E21B43/00 , G01V99/00
CPC分类号： E21B43/00 , G01V99/005 , G01V2210/663
摘要： Systems and methods which implement surrogate (e.g., approximation) models to systematically reduce the parameter space in an optimization problem are shown. In certain embodiments, rigorous (e.g., higher fidelity) models are implemented with respect to the reduced parameter space provided by use of surrogate models to efficiently and more rapidly arrive at an optimized solution. Accordingly, certain embodiments build surrogate models of an actual simulation, and systematically reduce the number of design parameters used in the actual simulation to solve optimization problems using the actual simulation. A multi-stage method that facilitates optimization of decisions related to development planning and reservoir management may be provided. Iterative processing may be implemented with respect to a multi-stage optimization method. There may be uncertainty in various parameters, such as in reservoir parameters, which is taken into account according to certain embodiments.
摘要翻译：示出了实现代理（例如近似）模型以系统地减少优化问题中的参数空间的系统和方法。在某些实施例中，相对于通过使用代理模型提供的减少的参数空间来有效地并且更快地到达优化的解决方案来实现严格（例如更高保真度）模型。因此，某些实施例构建实际仿真的替代模型，并且系统地减少在实际仿真中使用的设计参数的数量，以使用实际模拟来解决优化问题。可以提供有助于优化与开发规划和水库管理相关的决策的多阶段方法。可以针对多级优化方法来实现迭代处理。在诸如储层参数的各种参数中可能存在不确定性，这些参数根据某些实施例被考虑在内。

2. 发明申请

US20110238392A1 Systems and Methods For Reservoir Development and Management Optimization 有权
标题翻译：油藏开发与管理优化系统与方法
公开(公告)号：US20110238392A1
公开(公告)日：2011-09-29
申请号：US13131793
申请日：2009-09-14
申请人： Federico D. Carvallo , Cassandra M. McZeal , Anoop A. Mullur , Vikas Goel
发明人： Federico D. Carvallo , Cassandra M. McZeal , Anoop A. Mullur , Vikas Goel
IPC分类号： G06F17/50 , G06G7/48
CPC分类号： E21B43/00 , G01V99/005 , G01V2210/663
摘要： Systems and methods which implement surrogate (e.g., approximation) models to systematically reduce the parameter space in an optimization problem are shown. In certain embodiments, rigorous (e.g., higher fidelity) models are implemented with respect to the reduced parameter space provided by use of surrogate models to efficiently and more rapidly arrive at an optimized solution. Accordingly, certain embodiments build surrogate models of an actual simulation, and systematically reduce the number of design parameters used in the actual simulation to solve optimization problems using the actual simulation. A multi-stage method that facilitates optimization of decisions related to development planning and reservoir management may be provided. Iterative processing may be implemented with respect to a multi-stage optimization method. There may be uncertainty in various parameters, such as in reservoir parameters, which is taken into account according to certain embodiments.
摘要翻译：示出了实现代理（例如近似）模型以系统地减少优化问题中的参数空间的系统和方法。在某些实施例中，相对于通过使用代理模型提供的减少的参数空间来有效地并且更快地到达优化的解决方案来实现严格（例如更高保真度）模型。因此，某些实施例构建实际仿真的替代模型，并且系统地减少在实际仿真中使用的设计参数的数量，以使用实际模拟来解决优化问题。可以提供有助于优化与开发规划和水库管理相关的决策的多阶段方法。可以针对多级优化方法来实现迭代处理。在诸如储层参数的各种参数中可能存在不确定性，这些参数根据某些实施例被考虑在内。

3. 发明申请

US20120130696A1 Optimizing Well Management Policy 审中-公开
标题翻译：优化井管理政策
公开(公告)号：US20120130696A1
公开(公告)日：2012-05-24
申请号：US13382835
申请日：2010-05-12
申请人： Jeffrey E. Davidson , Federico Carvallo , Cassandra M. McZeal , Pengbo Lu
发明人： Jeffrey E. Davidson , Federico Carvallo , Cassandra M. McZeal , Pengbo Lu
IPC分类号： G06G7/57
CPC分类号： E21B43/00 , G06Q10/04 , G06Q10/06375
摘要： A field operating policy for a subsurface region is optimized by setting initial policy parameters for the subsurface region. Fluid flow within a subsurface region is simulated, wherein the simulation includes optimizing an objective function for field operating policy, the objective function corresponding simultaneously to the modeled fluid flow characteristics of one or more wellbores within the subsurface region and relating to at least one production system performance parameter. Optimizing the objective function for field operating policy may include optimizing the initial policy parameters for the subsurface region with an over time optimization technique, wherein the policy parameters are optimized for a predetermined policy period. An enhanced value of the objective function is determined at each timestep within the predetermined policy period. The optimized policy parameters for the predetermined policy period may serve as constraints in the determination of an enhanced value of the objective function at each timestep within the predetermined policy period.
摘要翻译：通过为地下区域设置初始策略参数来优化地下区域的现场操作策略。模拟地下区域内的流体流动，其中模拟包括优化用于现场操作策略的目标函数，该目标函数同时对应于地下区域内的一个或多个井筒的建模流体流动特性，并且涉及至少一个生产系统性能参数。优化现场操作策略的目标函数可以包括利用过时优化技术来优化地下区域的初始策略参数，其中策略参数针对预定策略周期进行优化。在预定策略周期内的每个时间步长确定目标函数的增强值。用于预定策略周期的优化策略参数可以用作确定预定策略周期内的每个时间步长的目标函数的增强值的约束。

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