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    Iterative drilling simulation process for enhanced economic decision making
    71.
    发明授权
    Iterative drilling simulation process for enhanced economic decision making 有权

    公开(公告)号：US07085696B2

    公开(公告)日：2006-08-01

    申请号：US10607900

    申请日：2003-06-27

    Applicant: William W. King

    Inventor： William W. King

    IPC: E21B7/00

    CPC classification number: E21B7/00 ,  E21B12/02 ,  E21B44/00 ,  E21B44/005 ,  E21B49/00 ,  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.

    Electrically sequenced tractor
    72.
    发明申请
    Electrically sequenced tractor 有权

    公开(公告)号：US20040245018A1

    公开(公告)日：2004-12-09

    申请号：US10858540

    申请日：2004-05-28

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

    IPC: E21B001/00

    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.

    System and method for fluid flow optimization
    74.
    发明授权
    System and method for fluid flow optimization 失效
    流体流动优化的系统和方法

    公开(公告)号：US06758277B2

    公开(公告)日：2004-07-06

    申请号：US09768656

    申请日：2001-01-24

    Applicant: Harold J. Vinegar ,  Robert Rex Burnett ,  William Mountjoy Savage ,  Frederick Gordon Carl, Jr.

    Inventor： Harold J. Vinegar ,  Robert Rex Burnett ,  William Mountjoy Savage ,  Frederick Gordon Carl, Jr.

    IPC: E21B4312

    CPC classification number: E21B47/122 ,  E21B17/003 ,  E21B34/066 ,  E21B34/08 ,  E21B34/16 ,  E21B43/122 ,  E21B43/123 ,  E21B2041/0028

    Abstract: A controllable gas-lift well having controllable gas-lift valves and sensors for detecting flow regime is provided. The well uses production tubing and casing to communicate with and power the controllable valve from the surface. A signal impedance apparatus in the form of induction chokes at the surface and downhole electrically isolate the tubing from the casing. A high band-width, adaptable spread spectrum communication system is used to communicate between the controllable valve and the surface. Sensors, such as pressure, temperature, and acoustic sensors, may be provided downhole to more accurately assess downhole conditions and in particular, the flow regime of the fluid within the tubing. Operating conditions, such as gas injection rate, back pressure on the tubing, and position of downhole controllable valves are varied depending on flow regime, downhole conditions, oil production, gas usage and availability, to optimize production. An Artificial Neural Network (ANN) is trained to detect a Taylor flow regime using downhole acoustic sensors, plus other sensors as desired. The detection and control system and method thereof is useful in many applications involving multi-phase flow in a conduit.

    Abstract translation: 提供了一种具有可控气举气阀和用于检测流动状态的传感器的可控气举井。 该井使用生产管道和套管与表面连通和供电可控阀门。 在表面和井下的感应扼流圈形式的信号阻抗装置将管道与壳体电隔离。 使用高带宽，适应性扩频通信系统在可控阀和表面之间进行通信。 可以在井下提供诸如压力，温度和声学传感器的传感器，以更准确地评估井下条件，特别是管道内流体的流动状态。 操作条件，例如气体注入速率，管道上的背压和井下可控阀的位置根据流动状态，井下条件，石油生产，燃气使用和可用性而变化，以优化生产。 人工神经网络（ANN）被训练为使用井下声学传感器以及所需的其它传感器来检测泰勒流动状态。 检测和控制系统及其方法在涉及管道中的多相流的许多应用中是有用的。

    Adaptive filter prediction method and system for detecting drill bit failure and signaling surface operator
    76.
    发明授权
    Adaptive filter prediction method and system for detecting drill bit failure and signaling surface operator 有权
    用于检测钻头故障的自适应滤波器预测方法和信号表面操作器

    公开(公告)号：US06722450B2

    公开(公告)日：2004-04-20

    申请号：US10040301

    申请日：2001-10-26

    Applicant: Roger L. Schultz ,  Orlando De Jesus ,  Andrew J. Osborne, Jr.

    Inventor： Roger L. Schultz ,  Orlando De Jesus ,  Andrew J. Osborne, Jr.

    IPC: E21B4700

    CPC classification number: E21B47/18 ,  E21B12/02 ,  E21B41/0085 ,  E21B44/00 ,  E21B2041/0028

    Abstract: An apparatus and method for monitoring and reporting downhole bit failure. Sensors are located on a sub assembly (which is removable from the drill bit) and send data to neural net or other adaptive filter. The neural net uses past sensor readings to predict future sensor readings. The value predicted for the sensors is subtracted from the actual value to produce a prediction error. Increases in prediction error are used to indicate bit failure. The results of this are transmitted to the operator by varying the pressure in the drilling mud flow.

    Abstract translation: 一种用于监测和报告井下钻井故障的装置和方法。 传感器位于子组件（可从钻头中移除）并将数据发送到神经网络或其他自适应滤波器。 神经网络使用过去的传感器读数来预测未来的传感器读数。 从实际值中减去传感器预测的值，以产生预测误差。 预测误差的增加用于指示位故障。 其结果通过改变钻井泥浆流中的压力而传递给操作者。

    Method of assaying downhole occurrences and conditions
    77.
    发明申请
    Method of assaying downhole occurrences and conditions 审中-公开
    测定井下事件和条件的方法

    公开(公告)号：US20040059554A1

    公开(公告)日：2004-03-25

    申请号：US10668788

    申请日：2003-09-23

    Applicant: Halliburton Energy Services Inc.

    Inventor： William A. Goldman ,  Lee Morgan Smith

    IPC: G06G007/48

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

    Abstract: A method for determining bit wear in a drill bit of a drilling rig system is disclosed. The method provides a first drill bit design. The first drill bit design having a first geometry. The method also generates a geological model of given formation. The geological model including a geological characteristic based on a length of formation drilled in a given amount of time. The method predicts the first wear rate of the first drill bit design based on the first geometry compared to the geological model for the length of formation drilled.

    Abstract translation: 公开了一种用于确定钻机系统钻头钻头磨损的方法。 该方法提供了第一钻头设计。 第一钻头设计具有第一几何形状。 该方法还产生给定地层的地质模型。 地质模型包括在给定时间内钻探的地层长度的地质特征。 该方法基于与钻探长度的地质模型相比较的第一几何形状来预测第一钻头设计的第一磨损率。

    Electrically sequenced tractor
    78.
    发明申请
    Electrically sequenced tractor 有权

    公开(公告)号：US20030121703A1

    公开(公告)日：2003-07-03

    申请号：US10290069

    申请日：2002-11-05

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

    IPC: E21B004/18

    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.

    Neural network based multi-criteria optimization image reconstruction technique for imaging two- and three-phase flow systems using electrical capacitance tomography
    79.
    发明授权
    Neural network based multi-criteria optimization image reconstruction technique for imaging two- and three-phase flow systems using electrical capacitance tomography 有权
    基于神经网络的多标准优化图像重建技术，用于使用电容层析成像对二相和三相流系统进行成像

    公开(公告)号：US06577700B1

    公开(公告)日：2003-06-10

    申请号：US09887276

    申请日：2001-06-22

    Applicant: Liang-Shih Fan ,  W. Warsito

    Inventor： Liang-Shih Fan ,  W. Warsito

    IPC: A61B603

    CPC classification number: G06T11/006 ,  A61B5/0536 ,  A61B5/7264 ,  E21B2041/0028 ,  G01N27/24 ,  Y10S378/901

    Abstract: A new image reconstruction technique for imaging two- and three-phase flows using electrical capacitance tomography (ECT) has been developed based on multi-criteria optimization using an analog neural network, hereafter referred to as Neural Network Multi-criteria Optimization Image Reconstruction (NN-MOIRT)). The reconstruction technique is a combination between multi-criteria optimization image reconstruction technique for linear tomography, and the so-called linear back projection (LBP) technique commonly used for capacitance tomography. The multi-criteria optimization image reconstruction problem is solved using Hopfield model dynamic neural-network computing. For three-component imaging, the single-step sigmoid function in the Hopfield networks is replaced by a double-step sigmoid function, allowing the neural computation to converge to three-distinct stable regions in the output space corresponding to the three components, enabling the differentiation among the single phases.

    Abstract translation: 已经基于使用模拟神经网络的多标准优化（以下称为神经网络多标准优化图像重建（NN））开发了使用电容层析成像（ECT）来成像两相和三相流的新的图像重建技术 -MOIRT））。 重建技术是用于线性断层扫描的多标准优化图像重建技术和通常用于电容层析成像的所谓的线性背投（LBP）技术的组合。 使用Hopfield模型动态神经网络计算解决了多标准优化图像重建问题。 对于三分量成像，Hopfield网络中的单步S形函数被双步S形函数所取代，允许神经计算在与三个分量对应的输出空间中收敛到三个不同的稳定区域，使得 单相分化。

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