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1.发明申请公开(公告)号：US20100224773A1
公开(公告)日：2010-09-09
申请号：US12397506
申请日：2009-03-04
IPC分类号： G01V5/10
CPC分类号： G01V5/101
摘要： A method and system for calculating extent of a formation treatment material in a formation. At least some of the illustrative embodiments are methods comprising releasing neutrons into a formation from a neutron source of a logging tool within a borehole having an axis, sensing energies of gammas produced by materials in the formation, the sensing by a gamma detector on the logging tool, generating a measured spectrum of the energies of the gammas sensed by the gamma detector, determining elemental concentrations of materials in the formation based on a basis spectrum, and calculating axial extent of a formation treatment material in the formation in relation to the axis of the borehole based on the elemental concentrations of at least some materials in the formation.
摘要翻译： 一种用于计算地层中地层处理材料的程度的方法和系统。 示例性实施例中的至少一些是包括从具有轴线的井眼内的测井工具的中子源将地层中子释放到地层中的方法，感测由地层中的材料产生的伽马的能量，伽马探测器在测井 产生由伽马检测器感测到的伽马的能量的测量光谱，基于基础光谱确定地层中材料的元素浓度，以及计算地层中的地层处理材料的轴向范围 基于地层中至少一些材料的元素浓度的钻孔。
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2.发明授权Method for filtering gamma ray well logging tool response to enhance vertical detail while suppressing statistical noise 失效用于过滤伽马射线测井仪响应的方法，以增强垂直细节，同时抑制统计噪声
公开(公告)号：US5672867A
公开(公告)日：1997-09-30
申请号：US312446
申请日：1994-09-26
CPC分类号： G01V5/06
摘要： A typical nuclear well logging tool forms a count rate data stream including statistical noise. A robust single pass partially deconvolved smoothing filter matched to the tool response is applied to the count rate data to enhance vertical resolution while minimizing the statistical noise increase. The smoothing filter is partially deconvolved by the application of a three point deconvolution characteristic of the cusp portion of a related cusp function and a box function representative of the tool response.
摘要翻译： 典型的核测井工具形成包括统计噪声的计数率数据流。 将与工具响应匹配的鲁棒单遍部分去卷积平滑滤波器应用于计数速率数据，以增强垂直分辨率，同时最小化统计噪声增加。 平滑滤波器通过应用相关尖点功能的尖点部分的三点去卷积特性和代表刀具响应的方框函数来部分解卷积。
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3.发明授权公开(公告)号：US08996315B2
公开(公告)日：2015-03-31
申请号：US14131288
申请日：2012-06-18
申请人： Weijun Guo , Larry A. Jacobson , Daniel F. Dorffer
发明人： Weijun Guo , Larry A. Jacobson , Daniel F. Dorffer
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; removing at least a portion of the chlorine response from the capture count rate, thereby creating a modified capture count rate; calculating a ratio of an inelastic count rate to the modified capture count rate for the particular borehole depth; determining a value indicative of gas saturation based on the ratio; and producing a plot of the value indicative of gas saturation as a function of borehole depth for a formation that the borehole at least partially penetrates.
摘要翻译： 确定表示地层气体饱和度的值。 示例性实施例中的至少一些是方法，包括：获得用于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; 从捕获计数率去除至少一部分氯响应，从而产生修改的捕获计数率; 计算特定钻孔深度的非弹性计数率与修改的捕获计数率的比率; 基于该比率确定表示气体饱和度的值; 并且产生指示气体饱和度的值作为钻孔至少部分穿透的地层的钻孔深度的函数。
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4.发明授权
公开(公告)号：US4600838A
公开(公告)日：1986-07-15
申请号：US633155
申请日：1984-07-20
摘要： Methods for measuring thermal neutron decay characteristics of earth formations include the steps of irradiating an earth formation with a discrete burst of fast neutrons, detecting indications of thermal neutron concentration in the formation during a sequence of discrete time gates, determining the zeroth order moment of the indications during the sequence of discrete time gates, and determining the first order moment of the indications during the sequence of discrete time gates, in order to obtain the desired thermal neutron decay characteristic of the earth formation.
摘要翻译： 用于测量地层的热中子衰变特性的方法包括以离散的快中子辐射地层的步骤，在离散时间门序列期间检测地层中的热中子浓度的指示，确定第 在离散时间门序列期间的指示，以及在离散时间门序列期间确定指示的一阶矩，以便获得地层的期望的热中子衰减特性。
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5.发明授权Method and system of processing gamma count rate curves using neural networks 有权使用神经网络处理伽马计数率曲线的方法和系统公开(公告)号：US08660796B2
公开(公告)日：2014-02-25
申请号：US12740726
申请日：2008-08-26
CPC分类号： G01V5/101
摘要： Processing gamma count rate decay curves using neural networks. At least some of the illustrative embodiments are methods comprising 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 the gamma count rate decay curves to input nodes of a neural network, predicting by the neural network a geophysical parameter of the formation surrounding the borehole, repeating the obtaining, applying and predicting for a plurality of borehole depths, and producing a plot of the geophysical parameter of the formation as a function of borehole depth.
摘要翻译： 使用神经网络处理伽马计数率衰减曲线。 示例性实施例中的至少一些是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）的γ计数率衰减曲线，应用伽马计数率 衰减曲线到神经网络的输入节点，由神经网络预测围绕钻孔的地层的地球物理参数，重复获取，应用和预测多个井眼深度，并产生地层的地球物理参数的图 作为钻孔深度的函数。
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6.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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7.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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公开(公告)号：US5406078A
公开(公告)日：1995-04-11
申请号：US218682
申请日：1994-03-28
申请人： Larry A. Jacobson
发明人： Larry A. Jacobson
IPC分类号： G01V5/10
CPC分类号： G01V5/101
摘要： A system for measuring fast neutron induced gamma ray energy spectra in cased wellbores. The system includes an electronic source of monoenergetic 14 MeV fast neutrons, a high density bismuth germanate scintillation detector, a downhole pulse height analyzer and a highly accurate gain stabilizer circuit. The gain stabilization utilizes the iron (Fe) edge in the catpure gamma ray spectrum to establish system gain since iron is always present in the tool case and the wellbore casing.
摘要翻译： 用于测量套管井筒中快速中子诱导的γ射线能谱的系统。 该系统包括单能14MeV快中子的电子源，高密度铋锗酸闪烁检测器，井下脉冲高度分析仪和高精度增益稳定器电路。 增益稳定化利用了阴极伽马射线光谱中的铁（Fe）边缘来建立系统增益，因为铁总是存在于工具箱和井眼套管中。
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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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10.发明授权Method and system for calculating extent of a formation treatment material in a formation 有权用于计算地层中地层处理材料的程度的方法和系统公开(公告)号：US08044342B2
公开(公告)日：2011-10-25
申请号：US12397506
申请日：2009-03-04
IPC分类号： G01V5/10
CPC分类号： G01V5/101
摘要： A method and system for calculating extent of a formation treatment material in a formation. At least some of the illustrative embodiments are methods comprising releasing neutrons into a formation from a neutron source of a logging tool within a borehole having an axis, sensing energies of gammas produced by materials in the formation, the sensing by a gamma detector on the logging tool, generating a measured spectrum of the energies of the gammas sensed by the gamma detector, determining elemental concentrations of materials in the formation based on a basis spectrum, and calculating axial extent of a formation treatment material in the formation in relation to the axis of the borehole based on the elemental concentrations of at least some materials in the formation.
摘要翻译： 一种用于计算地层中地层处理材料的程度的方法和系统。 示例性实施例中的至少一些是包括从具有轴线的井眼内的测井工具的中子源将地层中子释放到地层中的方法，感测由地层中的材料产生的伽马的能量，伽马探测器在测井 产生由伽马检测器感测到的伽马的能量的测量光谱，基于基础光谱确定地层中材料的元素浓度，以及计算地层中的地层处理材料的轴向范围 基于地层中至少一些材料的元素浓度的钻孔。
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