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    • 1. 发明授权
    • Automated field development planning of well and drainage locations
    • 井场排水场自动化现场开发规划
    • US08005658B2
    • 2011-08-23
    • US11756244
    • 2007-05-31
    • Peter Gerhard TilkeWilliam J. BaileyBenoit CouetMichael PrangeMartin Crick
    • Peter Gerhard TilkeWilliam J. BaileyBenoit CouetMichael PrangeMartin Crick
    • G06F17/50G06G7/48G01V3/38G01V1/40
    • E21B43/30E21B41/00
    • A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
    • 描述了一种混合进化算法(“HEA”)技术,用于自动计算场和排水位置。 该技术包括使用自动化井计划工具在静态储层模型上规划一组井,以设计满足钻井和施工约束的现实井。 然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。 特别是,使用成本和价值的快速计算分析工具最初创建了大量候选目标,排水孔和轨迹,随着工作流程的进行,每个连续操作中的人口规模减小,从而便于使用越来越复杂的计算 水库经济评估的分析工具,同时减少获得结果所需的总体时间。 在最后的操作中,最有希望的FDP需要少量的全油藏模拟。
    • 2. 发明申请
    • AUTOMATED FIELD DEVELOPMENT PLANNING OF WELL AND DRAINAGE LOCATIONS
    • 自动化田间开发规划井和排水位置
    • US20080300793A1
    • 2008-12-04
    • US11756244
    • 2007-05-31
    • Peter Gerhard TilkeWilliam J. BaileyBenoit CouetMichael PrangeMartin Crick
    • Peter Gerhard TilkeWilliam J. BaileyBenoit CouetMichael PrangeMartin Crick
    • G01V9/00G06F19/00
    • E21B43/30E21B41/00
    • A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
    • 描述了一种混合进化算法(“HEA”)技术,用于自动计算场和排水位置。 该技术包括使用自动化井计划工具在静态储层模型上规划一组井,以设计满足钻井和施工约束的现实井。 然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。 特别是,使用成本和价值的快速计算分析工具最初创建了大量候选目标,排水孔和轨迹,随着工作流程的进行,每个连续操作中的人口规模减小,从而便于使用日益复杂的计算 水库经济评估的分析工具,同时减少获得结果所需的总体时间。 在最后的操作中,最有希望的FDP需要少量的全油藏模拟。
    • 4. 发明申请
    • AUTOMATED FIELD DEVELOPMENT PLANNING
    • 自动化现场开发规划
    • US20100185427A1
    • 2010-07-22
    • US12356137
    • 2009-01-20
    • Peter Gerhard TilkeVijaya HalabeRaj BanerjeeTarek M. HabashyMichael ThambynayagamJeffrey SpathAndrew J. CarnegieBenoit CouetWilliam J. BaileyMichael David Prange
    • Peter Gerhard TilkeVijaya HalabeRaj BanerjeeTarek M. HabashyMichael ThambynayagamJeffrey SpathAndrew J. CarnegieBenoit CouetWilliam J. BaileyMichael David Prange
    • G06G7/48
    • E21B43/00
    • A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP. The position, orientation and dimensions of analytical model elements for the subsurface oil or gas field, as well as the physical properties associated with these elements, correlate to connected flow volume data from a Shared Earth Model (SEM). Uncertainty in the SEM is considered via stochastic sampling. In the presence of uncertainty, the optimum Field Development Plan (FoM) is selected by maximizing an objective function defining a risk-based Figure of Merit for the entire FDP.
    • 用于自动优化油田或油田现场开发计划(FDP)的系统使用快速分析油藏模拟器,以准确和快速的方式随时间动态地模拟整个油藏的油气产量。 根据物理,工程,操作,法律和工程方面的约束,使用优化算法来定义候选FDP的优点图(FoM)的客观函数被最大化以确定优化的FDP。 品质图的目标函数,例如净现值(NPV)或给定时间段内的总产量依赖于快速分析储层模拟器对于整个FDP的生产预测。 地下油或气田分析模型元素的位置,方向和尺寸以及与这些元素相关的物理性质与共享地球模型(SEM)的连接流量数据相关。 SEM中的不确定度是通过随机抽样来考虑的。 在存在不确定性的情况下,通过最大化定义基于风险的整个FDP优点图表的目标函数来选择最佳现场开发计划(FoM)。
    • 5. 发明申请
    • VALUING FUTURE INFORMATION UNDER UNCERTAINTY
    • 未知的未来信息
    • US20090271233A1
    • 2009-10-29
    • US12182890
    • 2008-07-30
    • Michael PrangeWilliam J. BaileyBenoit CouetHugues DjikpesseMichael A. Elliott
    • Michael PrangeWilliam J. BaileyBenoit CouetHugues DjikpesseMichael A. Elliott
    • G06Q10/00
    • E21B47/00
    • The invention relates to a method of performing an oilfield operation of an oilfield having at least one well having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include analyzing the oilfield operation to generate a decision tree comprising a first decision and a second decision, wherein a first outcome of the first decision dictates acquiring information relevant to the second decision, formulating a figure of merit of the oilfield operation according to the decision tree based on the information and uncertainties associated with the oilfield, determining a value of the figure of merit by modeling the oilfield operation using statistical sampling, and performing the oilfield operation upon making the first decision based on the value of the figure of merit.
    • 本发明涉及一种执行油田的油田作业的方法,该油田具有至少一个具有穿透地下地层的井眼的井,用于从地下油藏中提取流体。 所述方法步骤包括分析油田操作以产生包括第一决策和第二决策的决策树,其中,所述第一决策的第一结果决定获取与所述第二决策有关的信息,根据所述第二决定制定油田操作的品质因数 基于与油田相关的信息和不确定性的决策树,通过使用统计抽样建模油田作业确定品质因数的价值,并根据品质因数的价值进行第一个决定时进行油田作业 。
    • 6. 发明授权
    • Valuing future information under uncertainty
    • 评估未来信息的不确定性
    • US08073800B2
    • 2011-12-06
    • US12182890
    • 2008-07-30
    • Michael PrangeWilliam J. BaileyBenoit CouetHugues DjikpesseMichael A. Elliott
    • Michael PrangeWilliam J. BaileyBenoit CouetHugues DjikpesseMichael A. Elliott
    • G06F17/00G06N5/02
    • E21B47/00
    • The invention relates to a method of performing an oilfield operation of an oilfield having at least one well having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include analyzing the oilfield operation to generate a decision tree comprising a first decision and a second decision, wherein a first outcome of the first decision dictates acquiring information relevant to the second decision, formulating a figure of merit of the oilfield operation according to the decision tree based on the information and uncertainties associated with the oilfield, determining a value of the figure of merit by modeling the oilfield operation using statistical sampling, and performing the oilfield operation upon making the first decision based on the value of the figure of merit.
    • 本发明涉及一种执行油田的油田作业的方法,该油田具有至少一个具有穿透地下地层的井眼的井,用于从地下油藏中提取流体。 所述方法步骤包括分析油田操作以产生包括第一决策和第二决策的决策树,其中,所述第一决策的第一结果决定获取与所述第二决策有关的信息,根据所述第二决定制定油田操作的品质因数 基于与油田相关的信息和不确定性的决策树,通过使用统计抽样建模油田作业确定品质因数的价值,并根据品质因数的价值进行第一个决定时进行油田作业 。
    • 9. 发明申请
    • SYSTEM AND METHOD FOR PERFORMING OILFIELD SIMULATION OPERATIONS
    • 用于执行油田模拟操作的系统和方法
    • US20080133194A1
    • 2008-06-05
    • US11929921
    • 2007-10-30
    • Hans Eric KlumpenScott Trevor RaphaelRichard Ian TorrensGustavo NunezWilliam J. BaileyBenoit Couet
    • Hans Eric KlumpenScott Trevor RaphaelRichard Ian TorrensGustavo NunezWilliam J. BaileyBenoit Couet
    • G06G7/50
    • E21B47/00E21B49/00
    • The invention relates to a method for performing operations of an oilfield having at least one process facilities and at least one wellsite operatively connected thereto, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from or injecting fluid to an underground reservoir therein. The method involves selectively coupling a plurality of oilfield simulators according to a predefined configuration, each oilfield simulator modeling at least a portion of the oilfield, a first oilfield simulator of the plurality of oilfield simulators receives an oilfield control parameter as an input, identifying an uncertainty parameter associated with a plurality of probable values each corresponding to a weighted probability, a second oilfield simulator of the plurality of oilfield simulators receives the uncertainty parameter as an input, modeling the operations of the oilfield to generate an estimated performance by selectively communicating between the plurality of oilfield simulators, the operations of the oilfield is modeled with a predetermined value of the oilfield control parameter and at least one of the plurality of probable values of the uncertainty parameter; and identifying an optimal value of the oilfield control parameter based on the estimated performance.
    • 本发明涉及一种执行油田操作的方法,该油田具有至少一个处理设施和至少一个与其可操作连接的井场,每个至少一个井场具有渗透地下地层的井筒,用于从地下储层 其中。 该方法包括根据预定义的配置选择性地联接多个油田模拟器,每个油田模拟器建模油田的至少一部分,多个油田模拟器的第一油田模拟器接收油田控制参数作为输入,识别不确定性 参数与多个可能值相关联,每个可能值分别对应于加权概率,所述多个油田模拟器的第二油田模拟器接收不确定性参数作为输入,通过在多个油田模拟器之间选择性地通信来对油田的运行进行建模以产生估计性能 油田模拟器的油田操作用油田控制参数的预定值和不确定性参数的多个可能值中的至少一个来建模; 以及基于所估计的性能来确定所述油田控制参数的最优值。