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1.发明授权Method and system of determining a parameter associated with a formation corrected for neutrons produced 有权确定与生成的中子校正的地层相关的参数的方法和系统公开(公告)号：US08692185B2
公开(公告)日：2014-04-08
申请号：US13808413
申请日：2010-07-21
IPC分类号： G01V5/10
摘要： Determining a parameter associated with a formation corrected for neutrons produced. At least some of the illustrative embodiments are methods including: disposing a logging tool within a borehole, the borehole penetrates a formation; producing neutrons by a neutron source within the logging tool; detecting neutrons produced by the neutron source, the detecting by a neutron detector; creating an indication of a number of neutrons produced by the neutron source, the indication based only on neutrons detected that have not interacted with other elements before entering the neutron detector; obtaining a count rate of a gamma detector responsive to the production of neutrons by the neutron source; and determining a parameter associated with the formation based on the count rate and on the indication of the number of neutrons produced.
摘要翻译： 确定与生成的中子校正的地层相关的参数。 至少一些示例性实施例是方法，包括：在钻孔内设置测井工具，钻孔穿透地层; 在测井工具内由中子源产生中子; 检测由中子源产生的中子，由中子探测器检测; 产生由中子源产生的许多中子的指示，仅基于在进入中子探测器之前未与其它元素相互作用的中子检测到的指示; 获得响应于中子源产生中子的伽马检测器的计数率; 以及基于计数率和所产生的中子数量的指示来确定与形成相关联的参数。
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2.发明申请公开(公告)号：US20130105680A1
公开(公告)日：2013-05-02
申请号：US13808413
申请日：2010-07-21
IPC分类号： G01V5/10
摘要： Determining a parameter associated with a formation corrected for neutrons produced. At least some of the illustrative embodiments are methods including: disposing a logging tool within a borehole, the borehole penetrates a formation; producing neutrons by a neutron source within the logging tool; detecting neutrons produced by the neutron source, the detecting by a neutron detector; creating an indication of a number of neutrons produced by the neutron source, the indication based only on neutrons detected that have not interacted with other elements before entering the neutron detector; obtaining a count rate of a gamma detector responsive to the production of neutrons by the neutron source; and determining a parameter associated with the formation based on the count rate and on the indication of the number of neutrons produced.
摘要翻译： 确定与生成的中子校正的地层相关的参数。 至少一些示例性实施例是方法，包括：在钻孔内设置测井工具，钻孔穿透地层; 在测井工具内由中子源产生中子; 检测由中子源产生的中子，由中子探测器检测; 产生由中子源产生的许多中子的指示，仅基于在进入中子探测器之前未与其它元素相互作用的中子检测到的指示; 获得响应于中子源产生中子的伽马检测器的计数率; 以及基于计数率和所产生的中子数量的指示来确定与形成相关联的参数。
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3.发明授权公开(公告)号：US08346481B2
公开(公告)日：2013-01-01
申请号：US12812652
申请日：2008-12-15
CPC分类号： G01V5/00
摘要： Determining a value indicative of gas saturation of a formation. At least some of the illustrative embodiments are methods including obtaining an inelastic count rate and a capture count rate of a gamma detector for a particular borehole depth, calculating a ratio of an inelastic count rate to a capture count rate for the particular borehole depth, determining a value indicative of gas saturation based on the ratio of the inelastic count rate to the capture count rate for the particular borehole depth, repeating the obtaining, calculating and determining for a plurality of borehole depths, and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
摘要翻译： 确定表示地层气体饱和度的值。 说明性实施例中的至少一些是包括获得特定钻孔深度的伽马检测器的非弹性计数率和捕获计数率的方法，计算特定钻孔深度的非弹性计数率与捕获计数率的比率，确定 基于对于特定钻孔深度的非弹性计数率与捕获计数率的比率来指示气体饱和度的值，重复获得，计算和确定多个钻孔深度，并且产生指示气体的值的曲线图 作为钻孔深度函数的地层饱和度。
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4.发明申请METHOD AND SYSTEM OF DETERMINING A VALUE INDICATIVE OF GAS SATURATION OF A FORMATION 有权确定形成气体饱和度的值的方法和系统公开(公告)号：US20100292927A1
公开(公告)日：2010-11-18
申请号：US12812652
申请日：2008-12-15
CPC分类号： G01V5/00
摘要： Determining a value indicative of gas saturation of a formation. At least some of the illustrative embodiments are methods including obtaining an inelastic count rate and a capture count rate of a gamma detector for a particular borehole depth, calculating a ratio of an inelastic count rate to a capture count rate for the particular borehole depth, determining a value indicative of gas saturation based on the ratio of the inelastic count rate to the capture count rate for the particular borehole depth, repeating the obtaining, calculating and determining for a plurality of borehole depths, and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
摘要翻译： 确定表示地层气体饱和度的值。 说明性实施例中的至少一些是包括获得特定钻孔深度的伽马检测器的非弹性计数率和捕获计数率的方法，计算特定钻孔深度的非弹性计数率与捕获计数率的比率，确定 基于对于特定钻孔深度的非弹性计数率与捕获计数率的比率来指示气体饱和度的值，重复获得，计算和确定多个钻孔深度，并且产生指示气体的值的曲线图 作为钻孔深度函数的地层饱和度。
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公开(公告)号：US09835757B2
公开(公告)日：2017-12-05
申请号：US14396010
申请日：2012-04-23
申请人： Weijun Guo , Dennis Durbin , Kwok-Shan Kwong
发明人： Weijun Guo , Dennis Durbin , Kwok-Shan Kwong
摘要： Casing condition is an important concern to oilfield operators. Systems and methods are disclosed herein for using neutron logging tools to measure casing condition, using windows in the gamma energy spectrum that are sensitive and insensitive to casing condition to obtain a ratio having a value that ranges between one extreme representative of completely absent casing and an opposite extreme representative of casing in good condition. The sensitive (“divergence”) window may be positioned at or near 7.65 MeV, the characteristic energy of gamma rays from a neutron capture event by an iron nucleus. The insensitive (“consistency”) window is preferably adjacent to the divergence window with a comparable size to the divergence window. A suitable division point between the windows may be about 6.25 MeV.
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6.发明申请SYSTEM AND METHOD OF PREDICTING GAS SATURATION OF A FORMATION USING NEURAL NETWORKS 有权使用神经网络预测气体饱和度的系统和方法公开(公告)号：US20110282818A1
公开(公告)日：2011-11-17
申请号：US13146437
申请日：2009-04-21
申请人： Dingding Chen , Weijun Guo , Larry A. Jacobson
发明人： Dingding Chen , Weijun Guo , Larry A. Jacobson
IPC分类号： G06N3/02
CPC分类号： G01V5/125
摘要： Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
摘要翻译： 使用神经网络预测地层的气体饱和度。 至少一些示例性实施例包括获得针对核测井工具的多个伽马检测器（在特定钻孔深度处记录的伽马计数速率衰减曲线）中的伽马计数率衰减曲线，每个伽马计数率衰减曲线应用至少一部分每个 伽马计数速率衰减曲线到神经网络的输入节点，预测指示地层的气体饱和度的值（在没有提供给神经网络的地层孔隙度值的情况下由神经网络预测），并且产生 表示地层气体饱和度的值作为钻孔深度的函数。
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7.发明申请公开(公告)号：US20110202276A1
公开(公告)日：2011-08-18
申请号：US13124930
申请日：2009-09-28
申请人： Jerome Truax , Steve Zannoni , Daniel Dorffer , Weijun Guo
发明人： Jerome Truax , Steve Zannoni , Daniel Dorffer , Weijun Guo
IPC分类号： G06F19/00
CPC分类号： G01V5/104
摘要： Downhole fluid typing with pulsed neutron logging. A method comprises obtaining gamma count rates at a particular borehole depth; calculating a fluid type indicative response value for the borehole depth; determining at least one fluid type based on the response value for the particular borehole depth; and producing a display of the at least one fluid type corresponding to the borehole depth. A system comprises a downhole tool comprising a neutron source and at least one gamma detector; gamma count rates produced due to gamma arrivals at the gamma detector(s); and a processor coupled to a memory, wherein the memory stores a program that, when executed by the processor, causes the processor to: calculate a fluid type indicative response value for a particular borehole depth based on the gamma count rates; and determine at least one fluid type based on the response value for the particular borehole depth.
摘要翻译： 井下流体分类与脉冲中子测井。 一种方法包括在特定钻孔深度获得伽马计数率; 计算井眼深度的流体类型指示响应值; 基于特定钻孔深度的响应值确定至少一种流体类型; 以及产生对应于钻孔深度的至少一种流体类型的显示。 一种系统包括井下工具，其包括中子源和至少一个伽马检测器; 由于γ检测器处的伽马到达而产生的伽马计数率; 以及处理器，其耦合到存储器，其中所述存储器存储程序，所述程序在由所述处理器执行时使所述处理器基于所述伽马计数率来计算特定钻孔深度的流体类型指示响应值; 并且基于特定钻孔深度的响应值来确定至少一种流体类型。
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公开(公告)号：US20180210109A1
公开(公告)日：2018-07-26
申请号：US15747578
申请日：2016-08-24
申请人： Qingzhen Guo , Dongwon Lee , Weijun Guo , Daniel F. Dorffer
发明人： Qingzhen Guo , Dongwon Lee , Weijun Guo , Daniel F. Dorffer
CPC分类号： G01V5/045 , E21B47/082 , E21B49/08 , E21B2049/085 , G01N9/24 , G01V5/06
摘要： Various apparatus or methods are arranged to operate a tool downhole in a well, where the tool has a detection package operable to detect gamma rays. Deviation of energy spectra of detected gamma rays in each selected energy window of a set of selected energy windows with respect to reference energy spectra of the respective selected energy window can be detected. One or more properties of one or more regions around the tool can be determined from the deviations, the regions being between the tool and a source of the detected gamma rays in a formation around the well. Additional apparatus, systems, and methods having a gamma ray detection package can operate in a variety of applications.
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9.发明授权System and method of predicting gas saturation of a formation using neural networks 有权使用神经网络预测地层气饱和度的系统和方法公开(公告)号：US08898045B2
公开(公告)日：2014-11-25
申请号：US13146437
申请日：2009-04-21
申请人： Dingding Chen , Weijun Guo , Larry A. Jacobson
发明人： Dingding Chen , Weijun Guo , Larry A. Jacobson
CPC分类号： G01V5/125
摘要： Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
摘要翻译： 使用神经网络预测地层的气体饱和度。 至少一些示例性实施例包括获得针对核测井工具的多个伽马检测器（在特定钻孔深度处记录的伽马计数速率衰减曲线）中的伽马计数率衰减曲线，每个伽马计数率衰减曲线应用至少一部分每个 伽马计数速率衰减曲线到神经网络的输入节点，预测指示地层的气体饱和度的值（在没有提供给神经网络的地层孔隙度值的情况下由神经网络预测），并且产生 表示地层气体饱和度的值作为钻孔深度的函数。
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公开(公告)号：US20140144622A1
公开(公告)日：2014-05-29
申请号：US13982536
申请日：2012-11-26
申请人： Daniel F. Dorffer , Weijun Guo
发明人： Daniel F. Dorffer , Weijun Guo
CPC分类号： G01V5/101
摘要： Determining a value indicative of fracture quality. At least some of the illustrative embodiments are methods including: obtaining or measuring gas saturation of a formation to create a value indicative of pre-fracture gas saturation; and after a fracturing process measuring gas saturation of the formation to create a value indicative of post-fracture gas saturation; and creating a value indicative of fracture quality based on the value indicative of pre-fracture gas saturation and the value indicative of post-fracture gas saturation.
摘要翻译： 确定表示断裂质量的值。 示例性实施例中的至少一些是方法，包括：获得或测量地层的气体饱和度以产生指示预断裂气体饱和度的值; 并且在压裂过程之后测量地层的气体饱和度以产生指示断裂后气体饱和度的值; 并且基于表示预裂化气体饱和度的值和表示断裂后气体饱和度的值来创建指示断裂质量的值。
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