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1. 发明申请

WO2017014732A1 STRUCTURE FOR FLUID FLOWBACK CONTROL DECISION MAKING AND OPTIMIZATION 审中-公开
标题翻译：流体流量控制决策的结构与优化
公开(公告)号：WO2017014732A1
公开(公告)日：2017-01-26
申请号：PCT/US2015/041012
申请日：2015-07-17
申请人： HALLIBURTON ENERGY SERVICES INC.
发明人： GU, Qiuying , DYKSTRA, Jason D. , SUN, Zhijie
IPC分类号： E21B43/26 , E21B44/00 , G05B19/02
CPC分类号： E21B43/267 , E21B49/008 , E21B2041/0028 , G06F17/5009
摘要： Methods and systems are presented in this disclosure for evaluating whether to apply fluid flowback during a fracture closure stage of a hydraulic fracturing operation of a reservoir formation. Information collected prior to the fracture closure stage of the hydraulic fracturing operation can be first gathered. Based on the collected information, it can be determined whether to perform fluid flowback during the fracture closure stage following a treatment stage of the fracturing operation. Based on the determination, a rate of the fluid flowback can be adjusted and optimized in real-time during the fracture closure stage.
摘要翻译：在本公开中提出了用于评估在储层形成的水力压裂操作的断裂阶段期间是否施加流体回流的方法和系统。可以先收集水力压裂作业断裂阶段前收集的信息。基于收集的信息，可以确定在压裂操作的处理阶段之后的断裂阶段期间是否进行流体回流。基于该判定，可以在断裂阶段期间实时地调整和优化流体回流的速率。

2. 发明申请

WO2015052300A3 CONTROL METHOD 审中-公开
标题翻译：控制方法
公开(公告)号：WO2015052300A3
公开(公告)日：2015-12-17
申请号：PCT/EP2014071700
申请日：2014-10-09
申请人： ITI SCOTLAND LTD
发明人： WIERCIGROCH MARIAN , LIU YANG
IPC分类号： G05B13/02 , G06K9/66
CPC分类号： E21B44/02 , E21B6/00 , E21B41/0092 , E21B44/005 , E21B49/003 , E21B2041/0028 , G05B13/027 , G05B13/0285 , G06K9/66
摘要： Provided is a method for controlling a resonance enhanced rotary drill comprising a drilling module and a control system for controlling one or more drilling parameters of the drilling module, which method comprises: (a) employing one or more initial characteristics of the material being drilled, and/or one or more initial drilling parameters to control the drilling module; (b) measuring one or more current drilling parameters to obtain one or more measured drilling parameters; (c) employing the one or more measured drilling parameters as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated characteristics of the material being drilled; (d) employing the one or more calculated characteristics of the material being drilled, and/or the one or more measured drilling parameters, as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated drilling parameters; (e) optionally applying the one or more calculated drilling parameters to the drilling module; (f) optionally repeating steps (b), (c) (d) and (e).
摘要翻译：提供了一种用于控制共振增强旋转钻的方法，其包括钻井模块和用于控制钻井模块的一个或多个钻井参数的控制系统，该方法包括：（a）采用被钻探材料的一个或多个初始特性，和/或一个或多个初始钻孔参数以控制钻井模块; （b）测量一个或多个当前钻井参数以获得一个或多个测量的钻井参数; （c）使用一个或多个测量的钻井参数作为控制系统中的输入，以获得来自控制系统的输出，该输出包括被钻探材料的一个或多个计算特征; （d）将所钻出的材料的一个或多个计算特征和/或一个或多个测量的钻井参数用作控制系统中的输入，以获得来自控制系统的输出，该输出包括一个或更多的计算钻井参数; （e）可选地将一个或多个计算的钻井参数应用于钻井模块; （f）任选重复步骤（b），（c）（d）和（e）。

3. 发明申请

WO2015052300A2 CONTROL METHOD 审中-公开
标题翻译：控制方法
公开(公告)号：WO2015052300A2
公开(公告)日：2015-04-16
申请号：PCT/EP2014/071700
申请日：2014-10-09
申请人： ITI SCOTLAND LIMITED
发明人： WIERCIGROCH, Marian , LIU, Yang
CPC分类号： E21B44/02 , E21B6/00 , E21B41/0092 , E21B44/005 , E21B49/003 , E21B2041/0028 , G05B13/027 , G05B13/0285 , G06K9/66
摘要： Provided is a method for controlling a resonance enhanced rotary drill comprising a drilling module and a control system for controlling one or more drilling parameters of the drilling module, which method comprises: (a) employing one or more initial characteristics of the material being drilled, and/or one or more initial drilling parameters to control the drilling module; (b) measuring one or more current drilling parameters to obtain one or more measured drilling parameters; (c) employing the one or more measured drilling parameters as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated characteristics of the material being drilled; (d) employing the one or more calculated characteristics of the material being drilled, and/or the one or more measured drilling parameters, as an input in the control system, in order to obtain an output from the control system, which output comprises one or more calculated drilling parameters; (e) optionally applying the one or more calculated drilling parameters to the drilling module; (f) optionally repeating steps (b), (c) (d) and (e).
摘要翻译：提供一种用于控制共振增强旋转钻机的方法，所述共振增强旋转钻机包括钻井模块和用于控制所述钻井模块的一个或多个钻井参数的控制系统，所述方法包括：（a）使用一个或多个正在钻探的材料的初始特征，和/或一个或多个初始钻探参数以控制钻探模块; （b）测量一个或多个当前钻井参数以获得一个或多个测量钻井参数; （c）将所述一个或多个测得的钻井参数用作所述控制系统中的输入，以便从所述控制系统获得输出，所述输出包括正在钻探的所述材料的一个或多个计算特性; （d）采用所钻探材料的一个或多个计算特征和/或一个或多个测量钻探参数作为控制系统中的输入，以便从控制系统获得输出，该输出包括一个或更多计算的钻井参数; （e）可选地将一个或多个计算出的钻探参数应用于钻探模块; （f）可选地重复步骤（b），（c）（d）和（e）。

4. 发明申请

WO2014055090A1 DETECTION OF INFLUXES AND LOSSES WHILE DRILLING FROM A FLOATING VESSEL 审中-公开
标题翻译：检测从浮动船舶钻探时的流入和损失
公开(公告)号：WO2014055090A1
公开(公告)日：2014-04-10
申请号：PCT/US2012/059079
申请日：2012-10-05
申请人： HALLIBURTON ENERGY SERVICES, INC.
发明人： SKINNER, Neal, G.
IPC分类号： E21B47/008 , E21B47/001 , E21B7/12
CPC分类号： E21B47/0001 , E21B7/12 , E21B21/08 , E21B44/00 , E21B49/08 , E21B2041/0028
摘要： A system for detecting fluid influxes and losses can include a sensor which detects floating vessel movement, and a neural network which receives a sensor output, and which outputs a predicted flow rate from a wellbore. A method can include isolating the wellbore from atmosphere with an annular sealing device which seals against a drill string, inputting to a neural network an output of a sensor which detects vessel movement, the neural network outputting a predicted flow rate from the wellbore, and determining whether the fluid influx or loss has occurred by comparing the predicted flow rate to an actual flow rate from the wellbore. Another method can include inputting to a neural network actual flow rates into and out of the wellbore, and an output of a sensor which detects vessel movement, and training the neural network to output a predicted flow rate from the wellbore.
摘要翻译：用于检测流体流入和损失的系统可以包括检测浮动容器运动的传感器，以及接收传感器输出并从井筒输出预测流量的神经网络。一种方法可以包括将井眼与大气隔离，其中环形密封装置密封钻柱，向神经网络输入检测船舶运动的传感器的输出，神经网络从井筒输出预测流速，以及确定是否通过将预测流量与来自井筒的实际流量进行比较而发生流体流入或流失。另一种方法可以包括输入到进入和离开井眼的神经网络实际流速，以及检测血管移动的传感器的输出，以及训练神经网络以输出来自井眼的预测流速。

5. 发明申请

WO2010043951A4 SYSTEM AND METHOD FOR ONLINE AUTOMATION 审中-公开
标题翻译：用于在线自动化的系统和方法
公开(公告)号：WO2010043951A4
公开(公告)日：2010-09-10
申请号：PCT/IB2009007127
申请日：2009-10-14
申请人： SCHLUMBERGER TECHNOLOGY BV , SCHLUMBERGER HOLDINGS , SCHLUMBERGER CA LTD , SCHLUMBERGER SERVICES PETROL , PRAD RES & DEV LTD , ALDRED WALTER , DUNLOP JONATHAN , BELASKIE JAMES
发明人： SCHLUMBERGER HOLDINGS LIMITED , ALDRED WALTER , DUNLOP JONATHAN , BELASKIE JAMES
IPC分类号： E21B44/00
CPC分类号： G05B13/04 , E21B7/04 , E21B41/0092 , E21B44/00 , E21B2041/0028
摘要： A changepoint detector for modeling data received from at least one sensor in a proces in the hydrocarbon industry. The data is segmented into a plurality of segments and fo each segment a model is assigned and the data corresponding to the segment fit to tha model. A plurality of segmentations are thus provided and these segmentations ar evaluated and assigned weights indicative of the fit of the models of the segmentation t the underlying data. The segmentation models are further used to calculate a result tha may be input to a process control program.
摘要翻译：一种变化点检测器，用于对从烃工业过程中的至少一个传感器接收的数据进行建模。数据被分割成多个片段，每个片段分配一个模型，并且与该片段对应的数据符合该模型。因此提供了多个分割，并且这些分割被评估并且被分配了指示分割模型对基础数据的拟合的权重。分割模型还用于计算可以输入到过程控制程序的结果。

6. 发明申请

WO2009032220A1 ARTIFICIAL NEURAL NETWORK MODELS FOR DETERMINING RELATIVE PERMEABILITY OF HYDROCARBON RESERVOIRS 审中-公开
标题翻译：用于确定油气储层相对渗透率的人造神经网络模型
公开(公告)号：WO2009032220A1
公开(公告)日：2009-03-12
申请号：PCT/US2008/010285
申请日：2008-08-27
申请人： SAUDI ARABIAN OIL COMPANY , ARAMCO SERVICES COMPANY , AL-FATTAH, Saud Mohammad, A.
发明人： AL-FATTAH, Saud Mohammad, A.
IPC分类号： E21B43/16
CPC分类号： E21B49/00 , E21B2041/0028
摘要： A system and method for modeling technology to predict accurately water-oil relative permeability uses a type of artificial neural network (ANN) known as a Generalized Regression Neural Network (GRNN) The ANN models of relative permeability are developed using experimental data from waterflood core test samples collected from carbonate reservoirs of Arabian oil fields Three groups of data sets are used for training, verification, and testing the ANN models Analysis of the results of the testing data set show excellent correlation with the experimental data of relative permeability, and error analyses show these ANN models outperform all published correlations
摘要翻译：一种用于建模技术以准确预测水 - 油相对渗透率的系统和方法使用一种称为广义回归神经网络（GRNN）的人工神经网络（ANN）。相对渗透率的ANN模型是使用水驱核心试验的实验数据开发的阿拉伯油田碳酸盐岩采集的样本三组数据组用于训练，验证和测试ANN模型分析测试数据集的结果与相对渗透率的实验数据具有良好的相关性，误差分析显示这些ANN模型优于所有已发表的相关性

7. 发明申请

WO2008016717A2 WELL CONTROL SYSTEMS AND ASSOCIATED METHODS 审中-公开
标题翻译：井控系统及相关方法
公开(公告)号：WO2008016717A2
公开(公告)日：2008-02-07
申请号：PCT/US2007060001
申请日：2007-01-01
申请人： HALLIBURTON ENERGY SERV INC , SHAYEGI SARA , GODFREY CRAIG , CHEN DINGDING , SCHULTZ ROGER L
发明人： SHAYEGI SARA , GODFREY CRAIG , CHEN DINGDING , SCHULTZ ROGER L
IPC分类号： G05B13/02
CPC分类号： G05B13/048 , E21B2041/0028
摘要： Well control systems and associated methods- A well control method includes the steps of drilling a wellbore and predicting a change in flow between the wellbore and a reservoir prior to the change occurring, the predicting step being performed, and the change in flow occurring while drilling. Another well control method includes the steps of : sensing at least one first drilling operation variable while drilling a wellbore, thereby generating first sensed variables; sensing at least one second drilling operation variable while drilling the wellbore, thereby generating second sensed variables; and training a predictive device, using the first and second sensed variables, to predict the second drilling operation variable at a selected time.
摘要翻译：井控制系统和相关方法 - 井控制方法包括以下步骤：在更换发生之前，钻井井眼和预测井筒与储层之间的流量变化，执行预测步骤以及钻井时发生的流量变化。另一井井控制方法包括以下步骤：在钻井井时检测至少一个第一钻井作业变量，从而产生第一感测变量; 在钻井时感测至少一个第二钻探操作变量，由此产生第二感测变量; 以及训练使用所述第一和第二感测变量的预测装置在选定的时间预测所述第二钻井操作变量。

8. 发明申请

WO2005086565A3 LEADLESS SUB ASSEMBLY FOR DOWNHOLE DETECTION SYSTEM 审中-公开
标题翻译：用于井下检测系统的无铅辅助装置
公开(公告)号：WO2005086565A3
公开(公告)日：2006-09-21
申请号：PCT/IB0102915
申请日：2001-11-07
申请人： HALLIBURTON ENERGY SERV INC , SCHULTZ ROGER L , DE JESUS ORLAND , OSBORNE ANDREW J
发明人： SCHULTZ ROGER L , DE JESUS ORLAND , OSBORNE ANDREW J
IPC分类号： E21B21/08 , E21B12/02 , E21B28/00 , E21B41/00 , E21B44/00 , E21B47/18 , G01V3/00
CPC分类号： E21B44/00 , E21B12/02 , E21B41/0085 , E21B47/18 , E21B47/185 , E21B2041/0028
摘要： A drill string is equipped with a down hole sub assembly which contains sensors to detect equipment condition during drilling. The sub assembly has no electrical communication with the drill bit itself, and the sensors detect drill bit condition from vibrations or stain or other detectable phenomena. Sensors in the bit itself are not needed.
摘要翻译：钻柱配备有井孔子组件，其包含用于在钻井期间检测设备状况的传感器。子组件与钻头本身没有电气连通，并且传感器从振动或污点或其他可检测现象检测钻头状况。传感器本身不需要。

9. 发明申请

WO02066791A8 DOWNHOLE SENSING AND FLOW CONTROL UTILIZING NEURAL NETWORKS 审中-公开
标题翻译：使用神经网络的井下感测和流量控制
公开(公告)号：WO02066791A8
公开(公告)日：2003-11-13
申请号：PCT/US0105123
申请日：2001-02-16
申请人： HALLIBURTON ENERGY SERV INC , SCHULTZ ROGER L , STORM BRUCE H JR , DENNIS JOHN , RICHARDSON JOHN M
发明人： SCHULTZ ROGER L , STORM BRUCE H JR , DENNIS JOHN , RICHARDSON JOHN M
IPC分类号： E21B41/00 , E21B47/00 , E21B47/10 , E21B49/00
CPC分类号： E21B49/008 , E21B47/00 , E21B47/10 , E21B2041/0028
摘要： Methods are provided for downhole sensing and flow control utilizing neural networks. In a described embodiment, a temporary sensor (DSn) is positioned downhole with a permanent sensor (SSn) at the surface. Outputs of the temporary and permanent sensor are recorded as training data sets. A neural network is trained using the training data sets. When the temporary sensor is no longer present or no longer operational in the well, the neural network is capable of determining the temporary sensor's output in response to the input to the neural network of the permanent sensor's output.
摘要翻译：提供了使用神经网络的井下感测和流量控制的方法。在所描述的实施例中，临时传感器（DSn）位于表面处的永久传感器（SSn）的井下。临时和永久传感器的输出记录为训练数据集。使用训练数据集训练神经网络。当临时传感器不再存在或在井中不再可操作时，神经网络能够响应于永久传感器输出的神经网络的输入来确定临时传感器的输出。

10. 发明申请

WO02038908A2 DIFFERENTIAL SENSOR MEASUREMENT METHOD AND APPARATUS TO DETECT A DRILL BIT FAILURE AND SIGNAL SURFACE OPERATOR 审中-公开
标题翻译：差分传感器测量方法和检测钻头故障和信号表面操作器的设备
公开(公告)号：WO02038908A2
公开(公告)日：2002-05-16
申请号：PCT/US2001/047280
申请日：2001-11-07
IPC分类号： E21B12/02 , E21B41/00 , E21B44/00 , E21B47/18 , E21B
CPC分类号： E21B47/18 , E21B12/02 , E21B41/0085 , E21B44/00 , E21B2041/0028
摘要： An apparatus and accompanying method for monitoring and reporting downhole bit failure. Individual sensors are placed on a sub which is separate from the drill bit itself, and are powered by a vibration driven power system. The sensor readings are used to compute values which represent the ratios of sensor readings on one sensor in relation to the readings of one or more other sensors. This creates a self-calibrating sensor system that accounts for changes in downhole conditions which might cause sensor readings to fluctuate, but which do not indicate failure.
摘要翻译：一种用于监测和报告井下钻头故障的装置和相关方法。单个传感器放置在与钻头本身分离的子系统上，并由振动驱动的动力系统供电。传感器读数用于计算代表一个传感器上的传感器读数与一个或多个其他传感器读数的比率的值。这创建了一个自校准传感器系统，其考虑井下条件的变化，这可能导致传感器读数波动，但不表示故障。

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