Patents by Inventor Neil Holger White Eklund
Neil Holger White Eklund has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240151134Abstract: A system and method that include receiving offset well data collected from an offset well, wherein the offset well data comprises data representing a trajectory of an offset. The system and method also include receiving subject well data comprising a trajectory of at least a portion of a subject. The system and method additionally include determining a similarity value between the trajectory of the offset well and the subject well. The system and method also include selecting at least one offset well for offset well analysis based on the similarity value. The system and method further include adjusting at least one parameter of the subject well based on the offset well analysis.Type: ApplicationFiled: January 3, 2024Publication date: May 9, 2024Inventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund
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Patent number: 11905821Abstract: A method for offset well analysis includes receiving offset well data collected from an offset well, the offset well data including data representing a trajectory of an offset well, receiving subject well data comprising a trajectory of at least a portion of a subject well, partitioning the trajectory of the offset well into a plurality of offset well segments, partitioning the trajectory of the subject well into a plurality of subject well segments, determining a distance between at least some of the plurality of offset well segments and at least some of the plurality of subject well segments, selecting the offset well based in part on the distance, and performing an offset well analysis using the offset well and the subject well.Type: GrantFiled: August 15, 2019Date of Patent: February 20, 2024Assignee: Schlumberger Technology CorporationInventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund
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Publication number: 20210047914Abstract: A method for offset well analysis includes receiving offset well data collected from an offset well, the offset well data including data representing a trajectory of an offset well, receiving subject well data comprising a trajectory of at least a portion of a subject well, partitioning the trajectory of the offset well into a plurality of offset well segments, partitioning the trajectory of the subject well into a plurality of subject well segments, determining a distance between at least some of the plurality of offset well segments and at least some of the plurality of subject well segments, selecting the offset well based in part on the distance, and performing an offset well analysis using the offset well and the subject well.Type: ApplicationFiled: August 15, 2019Publication date: February 18, 2021Inventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund
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Patent number: 10584698Abstract: Method and apparatus for assessing health of fracturing fluid pump assemblies and other wellsite equipment. For example, predicted data indicative of a first operational parameter of a pump assembly is generated utilizing: a model relating the first operational parameter to each of a plurality of second operational parameters of the pump assembly; and real-time data indicative of each of the second operational parameters. Health of the pump assembly is then assessed based on: the predicted data indicative of the first operational parameter; and real-time data indicative of the first operational parameter.Type: GrantFiled: April 7, 2016Date of Patent: March 10, 2020Assignee: Schlumberger Technology CorporationInventors: Gilbert Haddad, Nicholas Dane Williard, Neil Holger White Eklund, Jean-Marc Follini, Rakesh Jaggi, Shaun Alan Wolski, Christian Abel Chavero Perez, Wenyu Zhao
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Publication number: 20150106313Abstract: A method, medium, and system to receive actual operational flight data for an engine of a particular type and configuration; train a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired; determine a deterioration factor for the engine, based at least in part, on an operational climate for the engine; and provide a record of the determined deterioration factor.Type: ApplicationFiled: October 10, 2014Publication date: April 16, 2015Inventors: Neil Holger White Eklund, Mohak Shah, Daniel Edward Marthaler, Christina Marie Brasco
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Publication number: 20140188772Abstract: A computer-implemented method for detecting a change in state of a physical asset is performed by a computer device. The computer device includes a processor and a memory device. The method includes receiving at least one input signal associated with the physical asset in a time period. The time period includes a first period and a second period. The method further includes receiving at least one output signal associated with the physical asset in the time period. The method also includes generating a predicted estimate and estimate residuals based upon the at least one input signal. The method additionally includes determining estimation errors. The method also includes detecting a probability of change in state of the physical asset. The method further includes transmitting the probability of change in state of the physical asset to a servicer of the physical asset.Type: ApplicationFiled: December 27, 2012Publication date: July 3, 2014Applicant: GENERAL ELECTRIC COMPANYInventors: Dustin Ross Garvey, Neil Holger White Eklund, Feng Xue
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Publication number: 20140188768Abstract: A computer-implemented system for creating customized model ensembles on demand is provided. An input module is configured to receive a query. A selection module is configured to create a model ensemble by selecting a subset of models from a plurality of models, wherein selecting includes evaluating an aspect of applicability of the models with respect to answering the query. An application module is configured to apply the model ensemble to the query, thereby generating a set of individual results. A combination module is configured to combine the set of individual results into a combined result and output the combined result, wherein combining the set of individual results includes evaluating performance characteristics of the model ensemble relative to the query.Type: ApplicationFiled: December 28, 2012Publication date: July 3, 2014Applicant: General Electric CompanyInventors: Piero Patrone Bonissone, Neil Holger White Eklund, Feng Xue, Naresh Sundaram Iyer, Weizhong Yan
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Patent number: 8219477Abstract: The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; committing the initial population of solutions to an initial population archive; performing a multi-objective process, based on the initial population archive and on multiple competing objectives, to generate an efficient frontier, the multi-objective process including a evolutionary algorithm process, the evolutionary algorithm process utilizing a dominance filter, the efficient frontier being used in investment decisioning.Type: GrantFiled: February 20, 2004Date of Patent: July 10, 2012Assignee: General Electric CompanyInventors: Rajesh Venkat Subbu, Srinivas Bollapragada, Piero Patrone Bonissone, Kete Charles Chalermkraivuth, Neil Holger White Eklund, Naresh Sundaram Iyer
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Patent number: 8126795Abstract: The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations, the generating the initial population of solutions of portfolio allocations including systematically generating the initial population of solutions to substantially cover the space defined by the competing objectives and the plurality of constraints; and generating an efficient frontier in the space based on the initial population, the efficient frontier for use in investment decisioning.Type: GrantFiled: February 20, 2004Date of Patent: February 28, 2012Assignee: General Electric CompanyInventors: Srinivas Bollapragada, Piero Patrone Bonissone, Kete Charles Chalermkraivuth, Neil Holger White Eklund, Naresh Sundaram Iyer, Rajesh Venkat Subbu
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Patent number: 7933754Abstract: A method to estimate damage propagation is disclosed. The method includes making available a set of input parameters to a computational model, executing the computational model with defined changes within a range of an input parameter of the set of input parameters to define a range of at least one modeled output, receiving at least one signal responsive to and representative of a respective one of an actual sensor output, and estimating damage propagation based upon a correlation of the received signal to the modeled output.Type: GrantFiled: December 7, 2006Date of Patent: April 26, 2011Assignee: General Electric CompanyInventors: Kai Frank Goebel, Neil Holger White Eklund, Hai Qiu, Weizhong Yan
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Patent number: 7921350Abstract: A method for fault detection and localization calls for obtaining a data set, smoothing the data set, identifying a plurality of split points within the data set, fitting a piecewise linear function to the plurality of split points; and determining a residual between the function and the smoothed data set. Related systems and computer program products are disclosed and claimed.Type: GrantFiled: March 5, 2007Date of Patent: April 5, 2011Assignee: General Electric CompanyInventor: Neil Holger White Eklund
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Patent number: 7814034Abstract: A method and system for automatically developing a fault classification system from time series data. The sensors need not have been intended for diagnostic purposes (e.g., control sensors). These methods and systems are functionally independent of knowledge related to a particular equipment system, thereby allowing seamless application to multiple systems, regardless of the suite of sensors in each system. Because this algorithm is totally automated, substantial savings in time and development cost can be achieved. The algorithm results in a classification system and a set of features that might be used to develop alternative classification systems without human intervention.Type: GrantFiled: May 31, 2007Date of Patent: October 12, 2010Assignee: Lockheed Martin CorporationInventors: Neil Holger White Eklund, Weizhong Yan, Varma Anil, Piero Patrone Bonissone
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Patent number: 7725293Abstract: A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.Type: GrantFiled: December 7, 2006Date of Patent: May 25, 2010Assignee: General Electric CompanyInventors: Piero Patrone Bonissone, Feng Xue, Anil Varma, Kai Frank Goebel, Weizhong Yan, Neil Holger White Eklund
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Patent number: 7630928Abstract: The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method sequentially comprising: generating a non-dominated solution set in a space; applying a first set of user-specified constraints to reduce the solutions in the non-dominated solution set to a solution subset; and executing a series of local tradeoffs on the solution subset to result in a resulting solution subset, the local tradeoffs being performed in a lower dimension performance space as compared to the space, and the solution subset being used in investment decisioning.Type: GrantFiled: February 20, 2004Date of Patent: December 8, 2009Assignee: General Electric CompanyInventors: Piero Patrone Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil Holger White Eklund, Naresh Sundaram Iyer, Rajesh Venkat Subbu
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Patent number: 7548830Abstract: A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.Type: GrantFiled: February 23, 2007Date of Patent: June 16, 2009Assignee: General Electric CompanyInventors: Kai Frank Goebel, Piero Patrone Bonissone, Weizhong Yan, Neil Holger White Eklund, Feng Xue
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Patent number: 7542932Abstract: The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; performing a first multi-objective process, based on the initial population and the competing objectives, to generate a first interim efficient frontier; performing a second multi-objective process, based on the initial population and the competing objectives, to generate a second interim efficient frontier; and fusing the first interim efficient frontier with the second interim efficient frontier to create an augmented efficient frontier for use in investment decisioning.Type: GrantFiled: February 20, 2004Date of Patent: June 2, 2009Assignee: General Electric CompanyInventors: Kete Charles Chalermkraivuth, Srinivas Bollapragada, Piero Patrone Bonissone, Michael Craig Clark, Neil Holger White Eklund, Naresh Sundaram Iyer, Rajesh Venkat Subbu
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Patent number: 7469228Abstract: The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: performing a first multi-objective optimization process, based on competing objectives, to generate an efficient frontier of possible solutions; observing the generated efficient frontier; based on the observing, identifying an area of the efficient frontier in which there is a gap; and effecting a gap filling process by which the efficient frontier is supplemented in the area of the gap, the efficient frontier being used in investment decisioning.Type: GrantFiled: February 20, 2004Date of Patent: December 23, 2008Assignee: General Electric CompanyInventors: Piero Patrone Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil Holger White Eklund, Naresh Sundaram Iyer, Rajesh Venkat Subbu
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Publication number: 20080219336Abstract: A method for fault detection and localization calls for obtaining a data set, smoothing the data set, identifying a plurality of split points within the data set, fitting a piecewise linear function to the plurality of split points; and determining a residual between the function and the smoothed data set. Related systems and computer program products are disclosed and claimed.Type: ApplicationFiled: March 5, 2007Publication date: September 11, 2008Applicant: GENERAL ELECTRIC COMPANYInventor: Neil Holger White Eklund
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Publication number: 20080208487Abstract: A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.Type: ApplicationFiled: February 23, 2007Publication date: August 28, 2008Applicant: GENERAL ELECTRIC COMPANYInventors: Kai Frank Goebel, Piero Patrone Bonissone, Weizhong Yan, Neil Holger White Eklund, Feng Xue
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Patent number: 7395188Abstract: A method to predict equipment life is disclosed. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.Type: GrantFiled: December 7, 2006Date of Patent: July 1, 2008Assignee: General Electric CompanyInventors: Kai Frank Goebel, Piero Patrone Bonissone, Weizhong Yan, Neil Holger White Eklund, Feng Xue, Hai Qiu