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    • 2. 发明授权
    • Systems and methods for reservoir development and management optimization
    • 油藏开发与管理优化的系统与方法
    • US08849623B2
    • 2014-09-30
    • US13131793
    • 2009-09-14
    • Federico D. CarvalloCassandra M. McZealAnoop A. MullurVikas Goel
    • Federico D. CarvalloCassandra M. McZealAnoop A. MullurVikas Goel
    • G06F7/60G06F17/10E21B43/00G01V99/00
    • E21B43/00G01V99/005G01V2210/663
    • 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.
    • 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。
    • 4. 发明申请
    • Systems and Methods For Reservoir Development and Management Optimization
    • 油藏开发与管理优化系统与方法
    • US20110238392A1
    • 2011-09-29
    • US13131793
    • 2009-09-14
    • Federico D. CarvalloCassandra M. McZealAnoop A. MullurVikas Goel
    • Federico D. CarvalloCassandra M. McZealAnoop A. MullurVikas Goel
    • G06F17/50G06G7/48
    • E21B43/00G01V99/005G01V2210/663
    • 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.
    • 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。