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公开(公告)号：US11836109B2
公开(公告)日：2023-12-05
申请号：US17947690
申请日：2022-09-19
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Bin Dai , Christopher Michael Jones , Jing Shen , Anthony Van Zuilekom
CPC classification number: G06F16/122 , E21B49/08 , G01N21/3577 , G01N21/94 , G01N33/2823 , G01V8/10 , G06N3/045 , G06N3/08 , G01N2201/12
Abstract: A method includes receiving fluid property data of a fluid and receiving material property data for materials in the fluid. The method includes detecting material sensor data from at least one sensor and applying an inverse model and a forward model to the fluid property data and the material property data to provide at least in part synthetic spectral channel data for the materials.
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公开(公告)号：US11822045B2
公开(公告)日：2023-11-21
申请号：US17899282
申请日：2022-08-30
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Christopher Michael Jones , Bin Dai , Megan Pearl , James M. Price
CPC classification number: G01V8/10 , E21B49/088 , G01N21/25 , G01V13/00 , G01V99/005 , E21B2200/20
Abstract: A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.
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公开(公告)号：US20230119992A1
公开(公告)日：2023-04-20
申请号：US18083176
申请日：2022-12-16
Applicant: Halliburton Energy Services, Inc.
Inventor： Bin Dai , Dingding Chen , Christopher Michael Jones
Abstract: A system to determine a contamination level of a formation fluid, the system including a formation tester tool to be positioned in a borehole, wherein the borehole has a mixture of the formation fluid and a drilling fluid and the formation tester tool includes a sensor to detect time series measurements from a plurality of sensor channels. The system includes a processor to dimensionally reduce the time series measurements to generate a set of reduced measurement scores in a multi-dimensional measurement space and determine an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi-dimensional measurement space that corresponds with a predetermined fluid concentration. The processor also determines the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.
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公开(公告)号：US10955288B2
公开(公告)日：2021-03-23
申请号：US16213880
申请日：2018-12-07
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , David L. Perkins
IPC: E21B41/00 , G01J1/02 , E21B47/135 , G01D18/00
Abstract: The disclosed embodiments include a method, apparatus, and computer program product for generating a cross-sensor standardization model. For example, one disclosed embodiment includes a system that includes at least one processor; at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations comprising selecting a representative sensor from a group of sensors comprising at least one of same primary optical elements and similar synthetic optical responses and calibrating a cross-sensor standardization model based on a matched data pair for each sensor in the group of sensors and for the representative sensor. In one embodiment, the at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations further comprises generating the matched data pair, wherein the matched data pair comprises calibration input data and calibration output data.
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公开(公告)号：US20210071522A1
公开(公告)日：2021-03-11
申请号：US16494863
申请日：2018-12-04
Applicant: Halliburton Energy Services, Inc.
Inventor： Bin Dai , Dingding Chen , Christopher Michael Jones
Abstract: A system to determine a contamination level of a formation fluid, the system including a formation tester tool to be positioned in a borehole, wherein the borehole has a mixture of the formation fluid and a drilling fluid and the formation tester tool includes a sensor to detect time series measurements from a plurality of sensor channels. The system includes a processor to dimensionally reduce the time series measurements to generate a set of reduced measurement scores in a multi-dimensional measurement space and determine an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi-dimensional measurement space that corresponds with a predetermined fluid concentration. The processor also determines the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.
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Patent Agency Ranking
16.发明授权公开(公告)号：US10927672B2
公开(公告)日：2021-02-23
申请号：US16538904
申请日：2019-08-13
Applicant: Halliburton Energy Services, Inc.
Inventor： Bin Dai , Christopher Michael Jones , Dingding Chen , Jing Shen
IPC: G01N21/00 , E21B49/08 , G01N21/31 , G06N3/04 , H03M7/30 , G06N3/08 , E21B44/00 , E21B47/00 , E21B47/12 , G01N21/33 , G01N21/3577 , G01N21/359 , E21B47/113
Abstract: A system includes an optical computing device having an optical multiplexer that receives a sample light generated by an optical interaction between a sample and an illumination light is provided. The system includes sensing elements that optically interact with the sample light to generate modified lights, and a detector that measures a property of the modified lights separately. Linear and nonlinear models for processing data collected with the above system to form high-resolution spectra are also provided. Methods for designing optimal optical multiplexers for optimal reconstruction of high-resolution spectra are also provided.
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公开(公告)号：US20200348444A1
公开(公告)日：2020-11-05
申请号：US16935042
申请日：2020-07-21
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Bin Dai , Jing Shen , Ming Gu
Abstract: A method may include transforming optical responses for a fluid sample to a parameter space of a downhole tool. The optical responses are obtained using a first operational sensor and a second operational sensor of the downhole tool. Fluid models are applied in the parameter space of the downhole tool to the transformed optical responses to obtain density predictions of the fluid sample. The density predictions of the first operational sensor are matched to the density predictions of the second operational sensor based on optical parameters of the fluid models to obtain matched density predictions. A difference between the matched density predictions and measurements obtained from a densitometer is calculated, and a contamination index is estimated based on the difference.
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公开(公告)号：US20200284942A1
公开(公告)日：2020-09-10
申请号：US16464244
申请日：2018-07-16
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Christopher Michael Jones , Bin Dai , Megan Pearl , James M. Price
Abstract: The subject disclosure provides for a method of optical sensor calibration implemented with neural networks through machine learning to make real-time optical fluid answer product prediction adapt to optical signal variation of synthetic and actual sensor inputs integrated from multiple sources. Downhole real-time fluid analysis can be performed by monitoring the quality of the prediction with each type of input and determining which type of input generalizes better. The processor can bypass the less robust routine and deploy the more robust routine for remainder of the data prediction. Operational sensor data can be incorporated from a particular optical tool over multiple field jobs into an updated calibration when target fluid sample compositions and properties become available. Reconstructed fluid models adapted to prior field job data, in the same geological or geographical area, can maximize the likelihood of quality prediction on future jobs and optimize regional formation sampling and testing applications.
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19.发明申请公开(公告)号：US20170205532A1
公开(公告)日：2017-07-20
申请号：US15320951
申请日：2015-02-20
Applicant: Halliburton Energy Services, Inc.
Inventor： Jing C. Shen , Dingding Chen , Michael T. Pelletier
CPC classification number: G01V11/002 , E21B49/08 , G01N21/66 , G01N21/78 , G01N2201/061
Abstract: Apparatus, methods, and systems related to a thin-layer spectroelectrochemistry cell; electrically coupling a second end of a working electrical wire lead, a second end of a counter electrical wire lead, and a second end of a reference electrical wire lead to a potentiostat; introducing a conductive fluid into a cell body in the spectroelectrochemistry cell; introducing a detection species into the cell body; introducing a sample into the cell body; applying a voltage potential across the transparent sample window to drive an electrochemical reaction between the detection species and the sample in the transparent sample window fluid; transmitting electromagnetic radiation into an optical path through the transparent sample window, thereby optically interacting the electromagnetic radiation with the transparent sample window fluid to generate modified electromagnetic radiation; receiving the modified electromagnetic radiation with a detector; and generating an output signal corresponding to a characteristic of the sample.
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公开(公告)号：US20160273354A1
公开(公告)日：2016-09-22
申请号：US14436017
申请日：2014-01-27
Applicant: HALLIBURTON ENERGY SERVICES, INC.
Inventor： Dingding Chen , Christopher Michael Jones , David L. Perkins , Jing Shen , Li Gao , Michael T. Pelletier
CPC classification number: E21B49/08 , E21B47/102 , E21B49/003 , E21B2049/085 , G06F17/5009 , G06N3/0481 , G06N3/08 , G06N3/126
Abstract: Apparatus, systems, and methods may operate to select a subset of sensor responses as inputs to each of a plurality of pre-calibrated models in predicting each of a plurality of formation fluid properties. The sensor responses are obtained and pre-processed from a downhole measurement tool. Each of the plurality of predicted formation fluid properties are evaluated by applying constraints in hydrocarbon concentrations, geo-physics, and/or petro-physics. The selection of sensor responses and the associated models from a pre-constructed model base or a candidate pool are adjusted and reprocessed to validate model selection.
Abstract translation: 设备，系统和方法可以操作以在预测多个地层流体性质中的每一个时选择传感器响应的子集作为多个预校准模型中的每一个的输入。 从井下测量工具获得传感器响应并进行预处理。 通过在烃浓度，地球物理学和/或石油物理学中应用约束来评估多种预测地层流体性质中的每一种。 调整并重新处理来自预构建模型库或候选池的传感器响应和相关模型的选择以验证模型选择。
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