公开(公告)号：US08061440B2

公开(公告)日：2011-11-22

申请号：US12940253

申请日：2010-11-05

Applicant: Clinton D. Chapman ,  Charles Chen

Inventor： Clinton D. Chapman ,  Charles Chen

IPC: E21B44/00 ,  E21B47/00

CPC classification number: E21B44/00 ,  E21B2041/0028 ,  G06N7/005

Abstract: A computer usable medium including computer usable program code for determining an oilfield parameter for a drilling operation. The computer usable program code when executed causing a processor to identify first decision factors and second decision factors about the drilling operation, where each of the first decision factors is contained within first nodes, and where each of the second decision factors is contained within second nodes, where the first and second nodes contain common nodes. The computer usable program code further causing the processor to associate the first nodes to create a first belief network and associate the second nodes to create a second belief network, associate the common nodes of the first belief network with the common nodes of the second belief network to form a multinet belief network, and generate at least one oilfield parameter from the multinet belief network.

Abstract translation: 一种计算机可用介质，包括用于确定用于钻井操作的油田参数的计算机可用程序代码。 所述计算机可用程序代码在执行时导致处理器识别关于钻井操作的第一决策因素和第二决策因素，其中所述第一决策因素中的每一个包含在第一节点内，并且其中每个所述第二决策因素包含在所述第二节点内 ，其中第一和第二节点包含公共节点。 所述计算机可用程序代码进一步使所述处理器关联所述第一节点以创建第一置信网络并关联所述第二节点以创建第二置信网络，将所述第一置信网络的公共节点与所述第二置信网络的公共节点相关联 以形成多信任信念网络，并且从多信任信念网络生成至少一个油田参数。

公开(公告)号：US07571054B2

公开(公告)日：2009-08-04

申请号：US11690904

申请日：2007-03-26

Applicant: Frederic M. Newman

Inventor： Frederic M. Newman

IPC: G06F19/00

CPC classification number: E21B41/00 ,  E21B17/00 ,  E21B2041/0028

Abstract: An instrument, such as a wall-thickness, rod-wear, or pitting sensor, can monitor tubing as a field service crew extracts the tubing from an oil well or inserts the tubing into the well. A computer-based system can process data from the instrument to evaluate the validity of the data. Validating the data can comprise determining whether any features, structures, or patterns present in the data correlate with actual tubing defects or were caused by a condition unrelated to tubing quality, such as signal noise. The computer-based system can also analyze the data to deduce information about the performance of the well or to determine the well's operating state or status. For example, the data analysis can determine whether the well's fluids have a chemical condition that should be treated or whether a detrimental harmonic oscillation has been occurring in the well's mechanical pumping system.

Abstract translation: 仪器，如壁厚，杆磨损或点蚀传感器，可以监控管道，因为现场服务人员从油井抽取管道或将管道插入井中。 基于计算机的系统可以处理仪器中的数据以评估数据的有效性。 验证数据可以包括确定数据中存在的任何特征，结构或模式是否与实际的管道缺陷相关，或者是由诸如信号噪声的管道质量无关的条件引起的。 基于计算机的系统还可以分析数据以推断关于井的性能的信息或者确定井的运行状态或状态。 例如，数据分析可以确定井的流体是否具有应该被处理的化学条件或井的机械泵送系统中是否发生了有害的谐波振荡。

公开(公告)号：US20090006058A1

公开(公告)日：2009-01-01

申请号：US12179221

申请日：2008-07-24

Applicant: William W. King

Inventor： William W. King

IPC: G06G7/48

CPC classification number: E21B44/00 ,  E21B12/02 ,  E21B44/005 ,  E21B49/003 ,  E21B2041/0028

Abstract: An iterative drilling simulation method and system for enhanced economic decision making includes obtaining characteristics of a rock column in a formation to be drilled, specifying characteristics of at least one drilling rig system; and iteratively simulating the drilling of a well bore in the formation. The method and system further produce an economic evaluation factor for each iteration of drilling simulation. Each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a prescribed drilling simulation model.

Abstract translation: 一种用于增强经济决策的迭代钻井模拟方法和系统，包括获得要钻探的地层中的岩石柱的特征，指定至少一个钻机系统的特征; 并迭代地模拟地层钻井的钻井。 该方法和系统进一步为钻井模拟的每次迭代产生经济评价因子。 根据规定的钻井模拟模型，钻井模拟的每次迭代都是岩柱的函数和至少一个钻机系统的特征。

公开(公告)号：US20080270328A1

公开(公告)日：2008-10-30

申请号：US11871156

申请日：2007-10-12

Applicant: Chad Lafferty ,  Neil De Guzman ,  Lawrence Lafferty ,  Donald K. Steinman

Inventor： Chad Lafferty ,  Neil De Guzman ,  Lawrence Lafferty ,  Donald K. Steinman

IPC: G06F15/18 ,  G06F15/00

CPC classification number: E21B43/00 ,  E21B47/00 ,  E21B2041/0028 ,  G05B23/0229

Abstract: A system and method for monitoring processes in the production of oil and gas uses intelligent software agents employing associative memory techniques that receive data from sensors in the production environment and from other sources and perform pattern matching operations to identify normal and abnormal behavior of the well production. The agents report the behaviors to human operators or other software systems. The abnormal behavior may consist of any behavior of the production processes that is other than the desired behavior of the well. The intelligent software agents are trained to identify both specific behaviors and behaviors that have never before been observed and recognized in the well.

Abstract translation: 用于监测油气生产过程的系统和方法使用智能软件代理，采用联合存储技术，从生产环境和其他来源的传感器接收数据，并执行模式匹配操作，以识别井生产的正常和异常行为 。 代理人向人类操作员或其他软件系统报告行为。 异常行为可能包括生产过程中不同于井的所需行为的任​​何行为。 对智能软件代理进行培训，以确定从未在井中观察和识别的特定行为和行为。

公开(公告)号：US20080262810A1

公开(公告)日：2008-10-23

申请号：US12105108

申请日：2008-04-17

Applicant: David P. Moran ,  Mark P. Frenzel ,  Roy Duncan

Inventor： David P. Moran ,  Mark P. Frenzel ,  Roy Duncan

IPC: G06G7/48 ,  G06F15/18

CPC classification number: E21B7/00 ,  E21B44/00 ,  E21B2041/0028 ,  G05B13/027 ,  G05B17/02

Abstract: A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.

Abstract translation: 一种优化钻具组合的方法，包括将井数据输入到优化系统中，所述优化系统具有体验数据集和人造神经网络。 该方法还包括将井数据与经验数据集进行比较，并且基于将井数据与经验数据进行比较来开发初始钻井工具组件，其中使用人造神经网络来开发钻井工具组件。 另外，该方法包括模拟优化系统中的初始钻孔组件，并基于模拟创建优化系统中的结果数据。

公开(公告)号：US20080035334A1

公开(公告)日：2008-02-14

申请号：US11690904

申请日：2007-03-26

Applicant: Frederic M. Newman

Inventor： Frederic M. Newman

IPC: E21B47/00

CPC classification number: E21B41/00 ,  E21B17/00 ,  E21B2041/0028

Abstract: An Instrument, such as a wail-thickness, rod-wear, or pitting sensor, can monitor tubing as a field service crew extracts the tubing from an oil well or inserts the tubing into the well. A computer-based system can process data from the instrument to evaluate the validity of the data. Validating the data can comprise determining whether any features, structures, or patterns present in the data correlate with actual tubing defects or were caused by a condition unrelated to tubing quality, such as signal noise. The computer-based system can also analyze the data to deduce information about the performance of the well or to determine the well's operating state or status. For example, the data analysis can determine whether the well's fluids have a chemical condition that should be treated or whether a detrimental harmonic oscillation has been occurring in the well's mechanical pumping system.

Abstract translation: 仪器，如壁厚，杆磨损或点蚀传感器，可以监控管道，因为现场服务人员从油井抽取管道或将管道插入井中。 基于计算机的系统可以处理仪器中的数据以评估数据的有效性。 验证数据可以包括确定数据中存在的任何特征，结构或模式是否与实际的管道缺陷相关，或者是由诸如信号噪声的管道质量无关的条件引起的。 基于计算机的系统还可以分析数据以推断关于井的性能的信息或者确定井的运行状态或状态。 例如，数据分析可以确定井的流体是否具有应该被处理的化学条件或井的机械泵送系统中是否发生了有害的谐波振荡。

公开(公告)号：US20070179767A1

公开(公告)日：2007-08-02

申请号：US11669911

申请日：2007-01-31

Applicant: Alvin Stanley Cullick ,  William Douglas Johnson

Inventor： Alvin Stanley Cullick ,  William Douglas Johnson

IPC: G06G7/48

CPC classification number: G06F17/5009 ,  E21B43/00 ,  E21B2041/0028 ,  G06F2217/04 ,  G06F2217/16 ,  G06F2217/34

Abstract: Methods, systems, and computer readable media are provided for fast updating of oil and gas field production optimization using physical and proxy simulators. A base model of a reservoir, well, or a pipeline network is established in one or more physical simulators. A decision management system is used to define uncertain parameters for matching with observed data. A proxy model is used to fit the uncertain parameters to outputs of the physical simulators, determine sensitivities of the uncertain parameters, and compute correlations between the uncertain parameters and output data from the physical simulators. Parameters for which the sensitivities are below a threshold are eliminated. The decision management system validates parameters which are output from the proxy model in the simulators. The validated parameters are used to make production decisions.

Abstract translation: 提供了方法，系统和计算机可读介质，用于使用物理和代理模拟器快速更新油气田生产优化。 在一个或多个物理模拟器中建立储层，井或管道网络的基本模型。 决策管理系统用于定义与观测数据匹配的不确定参数。 代理模型用于将不确定参数拟合到物理模拟器的输出，确定不确定参数的灵敏度，并计算不确定参数与物理模拟器的输出数据之间的相关性。 消除了灵敏度低于阈值的参数。 决策管理系统验证在模拟器中从代理模型输出的参数。 经过验证的参数用于制作生产决策。

公开(公告)号：US20070179766A1

公开(公告)日：2007-08-02

申请号：US11669903

申请日：2007-01-31

Applicant: Alvin Stanley Cullick ,  William Douglas Johnson

Inventor： Alvin Stanley Cullick ,  William Douglas Johnson

IPC: G06G7/48

CPC classification number: E21B49/00 ,  E21B43/00 ,  E21B2041/0028

Abstract: Methods, systems, and computer readable media are provided for real-time oil and gas field production optimization using a proxy simulator. A base model of a reservoir, well, pipeline network, or processing system is established in one or more physical simulators. A decision management system is used to define control parameters, such as valve settings, for matching with observed data. A proxy model is used to fit the control parameters to outputs of the physical simulators, determine sensitivities of the control parameters, and compute correlations between the control parameters and output data from the simulators. Control parameters for which the sensitivities are below a threshold are eliminated. The decision management system validates control parameters which are output from the proxy model in the simulators. The proxy model may be used for predicting future control settings for the control parameters.

公开(公告)号：US07185716B2

公开(公告)日：2007-03-06

申请号：US11415798

申请日：2006-05-01

Applicant: Duane Bloom ,  Norman Bruce Moore ,  Ronald E. Beaufort

Inventor： Duane Bloom ,  Norman Bruce Moore ,  Ronald E. Beaufort

IPC: E21B4/18

CPC classification number: E21B17/18 ,  E21B4/18 ,  E21B7/062 ,  E21B23/08 ,  E21B33/1208 ,  E21B33/127 ,  E21B44/005 ,  E21B2023/008 ,  E21B2041/0028

Abstract: A downhole drilling tractor for moving within a borehole comprises a tractor body, two packerfeet, two aft propulsion cylinders, and two forward propulsion cylinders. The body comprises aft and forward shafts and a central control assembly. The packerfeet and propulsion cylinders are slidably engaged with the tractor body. Drilling fluid can be delivered to the packerfeet to cause the packerfeet to grip onto the borehole wall. Drilling fluid can be delivered to the propulsion cylinders to selectively provide downhole or uphole hydraulic thrust to the tractor body. The tractor receives drilling fluid from a drill string extending to the surface. A system of spool valves in the control assembly controls the distribution of drilling fluid to the packerfeet and cylinders. The valve positions are controlled by motors. A programmable electronic logic component on the tractor receives control signals from the surface and feedback signals from various sensors on the tool. The feedback signals may include pressure, position, and load signals. The logic component also generates and transmits command signals to the motors, to electronically sequence the valves. Advantageously, the logic component operates according to a control algorithm for intelligently sequencing the valves to control the speed, thrust, and direction of the tractor.

Abstract translation: 用于在钻孔内移动的井下钻井拖拉机包括拖拉机主体，两个封隔器，两个后推进缸和两个前进推进缸。 主体包括后部和前部轴以及中央控制组件。 包装机和推进缸与拖拉机主体可滑动接合。 钻井液可以运送到包装机，以使封隔器夹紧在钻孔壁上。 钻井液可以被输送到推进缸，以选择性地向拖拉机主体提供井下或井上的液压推力。 拖拉机从延伸到表面的钻柱接收钻井液。 控制组件中的滑阀系统控制钻井液向封隔器和气缸的分布。 阀位由电机控制。 拖拉机上的可编程电子逻辑部件接收来自表面的控制信号和来自工具上各种传感器的反馈信号。 反馈信号可以包括压力，位置和负载信号。 逻辑部件还产生并发送命令信号到电机，以电子地顺序排列阀门。 有利地，逻辑部件根据用于智能地对阀进行排序的控制算法进行操作，以控制拖拉机的速度，推力和方向。

公开(公告)号：US07172037B2

公开(公告)日：2007-02-06

申请号：US10814918

申请日：2004-03-31

Applicant: Dmitriy Dashevskiy ,  John D. Macpherson ,  Vladimir Dubinsky ,  Pat McGinley

Inventor： Dmitriy Dashevskiy ,  John D. Macpherson ,  Vladimir Dubinsky ,  Pat McGinley

IPC: E21B25/16 ,  E21B19/08

CPC classification number: E21B44/00 ,  E21B2041/0028

Abstract: 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 closed-loop 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.

Abstract translation: 钻井控制系统在一个方面提供了用于最佳钻井的咨询动作。 这种系统或模型利用井下动力学数据和表面钻井参数，以产生用于向人类操作者提供用于优化性能的推荐钻孔参数的钻孔模型。 在另一方面，钻井控制系统的输出与钻机仪表系统直接相连，以便提供一种闭环自动钻井控制系统，其优化钻井同时考虑到井下动态特性和表面参数。 钻孔模型可以是静态的或动态的。 在一个实施例中，钻井过程的模拟使用神经网络来估计一些非线性函数，使用钻井过程产生的输入 - 输出关系的例子。