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    METHOD FOR CONSTRAINED HISTORY MATCHING COUPLED WITH OPTIMIZATION
    11.
    发明申请
    METHOD FOR CONSTRAINED HISTORY MATCHING COUPLED WITH OPTIMIZATION 审中-公开
    与优化耦合的约束历史匹配方法

    公开(公告)号：US20150153476A1

    公开(公告)日：2015-06-04

    申请号：US14371767

    申请日：2013-01-11

    Applicant: Schlumberger Technology Corporation

    Inventor： Michael David Prange ,  Thomas Dombrowsky ,  William J. Bailey

    IPC: G01V99/00 ,  G06F17/10 ,  G06F17/50

    CPC classification number: G01V99/005 ,  E21B43/00 ,  G06F17/10 ,  G06F17/5009

    Abstract: Apparatus and methods for hydrocarbon reservoir characterization and recovery including collecting geological data relating to a subteranean formation, forming initial parameters using the data, performing a pricipal component analysis of the parameters to create a model, and performing history matching using the model. In some embodiments, the principal component analysis is linear principal component analysis or kernal principal component analysis.

    Abstract translation: 用于烃储层表征和回收的装置和方法，包括收集与子纲形成有关的地质数据，使用数据形成初始参数，执行参数的成本分析分析以创建模型，以及使用该模型执行历史匹配。 在一些实施例中，主成分分析是线性主成分分析或内核主成分分析。

    OPTIMIZATION OF A MULTI-PERIOD MODEL FOR VALUATION APPLIED TO FLOW CONTROL VALVES
    12.
    发明申请
    OPTIMIZATION OF A MULTI-PERIOD MODEL FOR VALUATION APPLIED TO FLOW CONTROL VALVES 有权
    优化适用于流量控制阀的多阶段模型

    公开(公告)号：US20140257577A1

    公开(公告)日：2014-09-11

    申请号：US14351519

    申请日：2012-10-12

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： Michael David Prange ,  William J. Bailey ,  Dadi Wang

    IPC: G05D7/06 ,  G01V99/00

    CPC classification number: E21B44/00 ,  E21B43/12 ,  G01V2210/663 ,  G01V2210/665

    Abstract: Apparatus and methods for controlling equipment to recover hydrocarbons from a reservoir including constructing a collection of reservoir models wherein each model represents a realization of the reservoir and comprises a subterranean formation measurement, estimating the measurement for the model collection, and controlling a device wherein the controlling comprises the measurement estimate wherein the constructing, estimating, and/or controlling includes a rolling flexible approach and/or a nearest neighbor approach.

    Abstract translation: 用于控制设备从储层回收烃类的设备和方法，包括构建储层模型的集合，其中每个模型表示储层的实现，并且包括地层测量，估计模型收集的测量值，以及控制装置，其中控制 包括测量估计，其中构造，估计和/或控制包括滚动灵活方法和/或最近邻方法。

    Method of valuation of geological asset or information relating thereto in the presence of uncertainties
    16.
    发明授权
    Method of valuation of geological asset or information relating thereto in the presence of uncertainties 有权

    公开(公告)号：US10430872B2

    公开(公告)日：2019-10-01

    申请号：US13784666

    申请日：2013-03-04

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： David J. Wilkinson ,  Nikita Chugunov ,  William J. Bailey ,  Benoit Couet ,  Terizhandur S. Ramakrishnan

    IPC: G06Q40/00 ,  G06Q10/06

    Abstract: Methods are disclosed for assigning a value to a geological asset or information relating thereto in the presence of private and public sources of uncertainties. The private and public uncertainties associated with a geological asset or information associated therewith are defined, and private uncertainties are assigned a subjective probability representing the best state of knowledge currently available. A multi-dimensional valuation-time lattice is constructed using the subjective probabilities for the private uncertainties and using risk-neutral probabilities for the public uncertainties. A backward recursion through the multi-dimensional lattice is performed in order to generate a present value for the asset given the present information available. During the backward recursion, a tally of delta hedging coefficients is generated and stored in order to provide an operational “map” or “decision pathway” should the project move forward.

    Methods and Systems for Calculating and Evaluating Value of Information for Reservoir Fluid Models Derived from DFA Tool Data
    18.
    发明申请
    Methods and Systems for Calculating and Evaluating Value of Information for Reservoir Fluid Models Derived from DFA Tool Data 审中-公开
    用于计算和评估DFA工具数据的储层流体模型信息值的方法和系统

    公开(公告)号：US20150363520A1

    公开(公告)日：2015-12-17

    申请号：US14762828

    申请日：2014-01-13

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： William J. Bailey ,  Benoit Couet ,  Peter Kaufman ,  Oliver C. Mullins

    IPC: G06F17/50 ,  E21B49/08

    CPC classification number: G01V99/005 ,  E21B49/00 ,  E21B49/08 ,  E21B49/087 ,  E21B49/10 ,  G01V11/00

    Abstract: A method for deriving VOI for a hydrocarbon-bearing reservoir fluid model based on DFA data (“true fluid model”) versus an “incorrect fluid model” includes calculating first, second and third objective functions that are based on NPV(s) of simulated production by a reservoir simulator with different configurations. For the first objective function, the simulator is configured with the incorrect fluid model and control variables that are optimized to derive a first group of control variable values. For the second objective function, the simulator is configured with the true fluid model and the first group of control variable values. For the third objective function, the simulator is configured with the true fluid model and control variables that are optimized to identify a second group of control variable values. The objective functions can be deterministic, or can include statistics that account for uncertainty. A visualization of such results with uncertainty is also described.

    Abstract translation: 基于DFA数据（“真实流体模型”）与“不正确的流体模型”相比，用于导出含烃储层流体模型的VOI的方法包括计算基于模拟的NPV的第一，第二和第三目标函数 通过不同配置的油藏模拟器生产。 对于第一个目标函数，模拟器配置有不正确的流体模型和被优化以得到第一组控制变量值的控制变量。 对于第二个目标函数，模拟器配置有真实流体模型和第一组控制变量值。 对于第三目标函数，模拟器配置有真实的流体模型和被优化以识别第二组控制变量值的控制变量。 目标函数可以是确定性的，也可以包括考虑不确定性的统计学。 还描述了具有不确定性的这种结果的可视化。

    CONDITIONING RANDOM SAMPLES OF A SUBTERRANEAN FIELD MODEL TO A NONLINEAR FUNCTION
    19.
    发明申请
    CONDITIONING RANDOM SAMPLES OF A SUBTERRANEAN FIELD MODEL TO A NONLINEAR FUNCTION 审中-公开
    一个非线性函数的下层场模型的随机样本

    公开(公告)号：US20140122037A1

    公开(公告)日：2014-05-01

    申请号：US14055141

    申请日：2013-10-16

    Applicant: Schlumberger Technology Corporation

    Inventor： Michael David Prange ,  William J. Bailey ,  Jean-Pierre Bourge ,  Ching Mei Pang

    IPC: G01V99/00

    CPC classification number: G01V99/005 ,  G01V2210/6169 ,  G01V2210/665 ,  G01V2210/667

    Abstract: A method for performing a field operation in a field includes obtaining subterranean field models that are generated based on measured data of a portion of the field. The subterranean field models include statistically derived data for a remainder portion of the field where the measured data is not available. Using a constraint optimization algorithm, weighting factors are determined that represent contributions of the subterranean field models to a combined model. The weighting factors are determined based on a statistical constraint defined by a statistical distribution of the subterranean field models and based on an optimization constraint such that a difference between a modeled value of the field and a pre-determined target value is less than a pre-determined threshold. The combined model is generated from the subterranean field model based on the weighting factors A field operation is performed based on the combined model.

    Abstract translation: 用于在场中执行场操作的方法包括获得基于场的一部分的测量数据生成的地下场模型。 地下场模型包括用于测量数据不可用的场的剩余部分的统计学派生数据。 使用约束优化算法，确定代表地下场模型对组合模型的贡献的加权因子。 加权因子基于由地下场模型的统计分布定义的统计约束，并且基于优化约束来确定，使得场的建模值与预定目标值之间的差小于预定值， 确定阈值。 基于加权因子从地下场模型生成组合模型基于组合模型执行场操作。

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