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    • 8. 发明公开
    • REAL-TIME DRILLING OPTIMIZATION BASED ON MWD DYNAMIC MEASUREMENTS
    • 基于MWD动态测量的实时钻井优化
    • EP1608843A1
    • 2005-12-28
    • EP04758759.7
    • 2004-03-31
    • BAKER HUGHES INCORPORATED
    • DASHEVSKIY, DmitriyMACPHERSON, JohnDUBINSKY, VladimirMCGINLEY, Pat
    • E21B44/00
    • E21B44/00E21B2041/0028
    • A drilling control system provides, in one aspect, advisory actions for optimal drilling. Such a system or model utilizes downhole dynamics data and surface drilling parameters, to produce drilling models used to provide to a human operator with recommended drilling parameters for optimized performance. In another aspect, the output of the drilling control system is directly linked with rig instrumentation systems so as to provide a closed­loop automated drilling control system that optimizes drilling while taking into account the downhole dynamic behavior and surface parameters. The drilling models can be either static or dynamic. In one embodiment, the simulation of the drilling process uses neural networks to estimate some nonlinear function using the examples of input-output relations produced by the drilling process.
    • 在一个方面,钻井控制系统提供用于最佳钻井的建议措施。 这样的系统或模型利用井下动力学数据和地面钻探参数来产生钻井模型,用于向操作人员提供用于优化性能的推荐钻井参数。 另一方面,钻井控制系统的输出与钻机仪表系统直接相关联,以便提供在考虑到井下动态行为和表面参数的同时优化钻井的闭环自动钻井控制系统。 钻井模型可以是静态的也可以是动态的。 在一个实施例中,钻井过程的模拟使用神经网络来使用由钻井过程产生的输入 - 输出关系的实例来估计一些非线性函数。
    • 10. 发明申请
    • LIFE-TIME MANAGEMENT OF DOWNHOLE TOOLS AND COMPONENTS
    • 井下工具和组件的生命管理
    • WO2015054388A1
    • 2015-04-16
    • PCT/US2014/059697
    • 2014-10-08
    • BAKER HUGHES INCORPORATED
    • DASHEVSKIY, DmitriyMACPHERSON, John, D.
    • E21B44/00G05B19/02G06F19/00
    • G01M13/00E21B41/00E21B2041/0028
    • Systems, methods and devices for evaluating a condition of a downhole component of a drillstring. Methods include estimating a value of a tool parameter of the component at at least one selected position on the drillstring; and using the estimated value to evaluate the condition of the downhole component. The estimating is done using a trained artificial neural network that receives information from at least one sensor that is positionally offset from the selected position. The method may further include creating a record representing information from estimated values of the tool parameter at the at least one selected position over time. The at least one selected position may include a plurality of positions, such as positions at intervals along the component, including substantially continuously along the component.
    • 用于评估钻柱井下部件状况的系统,方法和装置。 方法包括在钻柱上的至少一个选定位置处估计部件的刀具参数的值; 并使用估计值来评估井下部件的状况。 使用训练有素的人造神经网络来完成估计,人造神经网络从至少一个位置偏离所选位置的传感器接收信息。 该方法可以进一步包括根据时间上的至少一个选定位置处的工具参数的估计值创建表示信息的记录。 所述至少一个所选择的位置可以包括多个位置,例如沿着部件的间隔的位置,包括沿着部件基本上连续的位置。