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公开(公告)号：US20150369656A1
公开(公告)日：2015-12-24
申请号：US14648649
申请日：2013-12-19
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , David L. Perkins
CPC classification number: G01J1/0295 , E21B41/00 , E21B47/123 , G01D18/002
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.
Abstract translation: 所公开的实施例包括用于产生交叉传感器标准化模型的方法，装置和计算机程序产品。 例如，一个公开的实施例包括一个包括至少一个处理器的系统; 至少一个存储器，其耦合到所述至少一个处理器并且存储当所述至少一个处理器执行时执行操作的指令，所述指令包括从包括相同主要光学元件和类似合成光学响应中的至少一个的一组传感器中选择代表性传感器，以及 基于传感器组中的每个传感器和代表性传感器的匹配数据对来校准交叉传感器标准化模型。 在一个实施例中，所述至少一个存储器耦合到所述至少一个处理器并且存储当所述至少一个处理器执行的操作执行操作时的指令还包括生成所述匹配数据对，其中所述匹配数据对包括校准输入数据和校准输出 数据。
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公开(公告)号：US20140195215A1
公开(公告)日：2014-07-10
申请号：US13735756
申请日：2013-01-07
Applicant: HALLIBURTON ENERGY SERVICES, INC.
Inventor： Dingding Chen , David L. Perkins , Christopher Michael Jones , Li Gao , Lucas Fontenelle , Johanna Haggstrom
IPC: G06F17/50
CPC classification number: G06F17/5009 , E21B43/26 , G06F2217/16 , G06N3/086
Abstract: Techniques for modeling a wellbore fluid that includes a base fluid and one or more fluid additives includes identifying a target viscosity profile of the wellbore fluid; determining an initial set of values of the fluid additives that are based at least in part on the target viscosity profile; determining, with one or more non-linear predictive models, a computed viscosity profile of the wellbore fluid and a computed set of values of the fluid additives based, at least in part, on the initial set of values of the fluid additives; comparing the computed viscosity profile and at least one of the computed set of values with a specified criteria of the wellbore fluid; and preparing, based on the comparison, an output including the computed viscosity profile and at least one of the computed set of values of a resultant wellbore fluid.
Abstract translation: 用于建模包括基础流体和一种或多种流体添加剂的井筒流体的技术包括识别井筒流体的目标粘度分布; 确定至少部分基于目标粘度分布的流体添加剂的初始值值; 使用一个或多个非线性预测模型，至少部分地基于流体添加剂的初始值来确定井眼流体的计算粘度分布和所计算的流体添加剂的值的集合; 将所计算的粘度分布与所计算的一组值中的至少一个与井筒流体的特定标准进行比较; 并且基于该比较，准备包括所计算的粘度分布和所得到的井筒流体的所计算的一组值中的至少一个的输出。
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公开(公告)号：US12105243B2
公开(公告)日：2024-10-01
申请号：US17723920
申请日：2022-04-19
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Mark A. Proett , Li Gao , Christopher Michael Jones
CPC classification number: G01V20/00 , E21B49/087 , G06N3/126 , G06N20/00
Abstract: Improved systematic inversion methodology applied to formation testing data interpretation with spherical, radial and/or cylindrical flow models is disclosed. A method of determining a flow line parameter includes determining a diverse set of flow models and selecting at least one flow model from the diverse set of flow models representative, at least in part, of a formation tester tool, at least one formation, at least one fluid, and at least one flow of the at least one fluid. The method further includes lowering the formation testing tool into the at least one formation to intersect with the formation at least one formation and sealing a probe of the formation tester placed in fluid communication with the at least one formation. The method further includes initiating flow from the at least one formation and utilizing the at least one selected flow model to predict the flow line parameter.
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公开(公告)号：US11650348B2
公开(公告)日：2023-05-16
申请号：US16860183
申请日：2020-04-28
Applicant: Halliburton Energy Services, Inc.
Inventor： David Perkins , Dingding Chen , Christopher Michael Jones , Jing Shen
CPC classification number: G01V8/10 , G01N21/31 , G01N2201/1296
Abstract: A model can be trained for discriminant analysis for substance classification and/or measuring calibration. One method includes interacting at least one sensor with one or more known substances, each sensor element being configured to detect a characteristic of the one or more known substances, generating an sensor response from each sensor element corresponding to each known substance, wherein each known substance corresponds to a known response stored in a database, and training a neural network to provide a discriminant analysis classification model for an unknown substance, the neural network using each sensor response as inputs and one or more substance types as outputs, and the outputs corresponding to the one or more known substances.
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65.发明授权公开(公告)号：US11604982B2
公开(公告)日：2023-03-14
申请号：US16598802
申请日：2019-10-10
Applicant: HALLIBURTON ENERGY SERVICES, INC.
Inventor： Dingding Chen , Christopher Michael Jones , Bin Dai , Anthony Van Zuilekom
Abstract: Disclosed herein are examples embodiments of a progressive modeling scheme to enhance optical sensor transformation networks using both in-field sensor measurements and simulation data. In one aspect, a method includes receiving optical sensor measurements generated by one or more downhole optical sensors in a wellbore; determining synthetic data for fluid characterization using an adaptive model and the optical sensor measurements; and applying the synthetic data to determine one or more physical properties of a fluid in the wellbore for which the optical sensor measurements are received.
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Patent Agency Ranking
公开(公告)号：US20220252759A1
公开(公告)日：2022-08-11
申请号：US17723920
申请日：2022-04-19
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Mark A. Proett , Li Gao , Christopher Michael Jones
Abstract: Improved systematic inversion methodology applied to formation testing data interpretation with spherical, radial and/or cylindrical flow models is disclosed. A method of determining a flow line parameter includes determining a diverse set of flow models and selecting at least one flow model from the diverse set of flow models representative, at least in part, of a formation tester tool, at least one formation, at least one fluid, and at least one flow of the at least one fluid. The method further includes lowering the formation testing tool into the at least one formation to intersect with the formation at least one formation and sealing a probe of the formation tester placed in fluid communication with the at least one formation. The method further includes initiating flow from the at least one formation and utilizing the at least one selected flow model to predict the flow line parameter.
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公开(公告)号：US11365627B2
公开(公告)日：2022-06-21
申请号：US16336172
申请日：2018-06-27
Applicant: Halliburton Energy Services, Inc.
Inventor： Bin Dai , Christopher Michael Jones , Dingding Chen
Abstract: A method, including disposing a probe of a sensor system in a wellbore to interact with a formation fluid that includes a mud filtrate and a clean fluid that includes one of a formation water, or a formation hydrocarbon fluid including at least one hydrocarbon component. The method includes collecting multiple measurements of a formation fluid from a wellbore, the formation fluid comprising a mud filtrate and a clean fluid, is provided. The clean fluid includes at least one hydrocarbon component, and the method also include identifying a concentration of the mud filtrate and a concentration of the clean fluid in the formation fluid for one of the measurements, and determining at least one hydrocarbon composition and at least one physical property of the clean fluid based on a measurement fingerprint of the hydrocarbon components. A sensor system configured to perform a method as above is also provided.
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公开(公告)号：US20220003892A1
公开(公告)日：2022-01-06
申请号：US17480986
申请日：2021-09-21
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Mark A. Proett , Li Gao , Christopher Michael Jones
Abstract: Improved systematic inversion methodology applied to formation testing data interpretation with spherical, radial and/or cylindrical flow models is disclosed. A method of determining a parameter of a formation of interest at a desired location comprises directing a formation tester to the desired location in the formation of interest and obtaining data from the desired location in the formation of interest. The obtained data relates to a first parameter at the desired location of the formation of interest. The obtained data is regressed to determine a second parameter at the desired location of the formation of interest. Regressing the obtained data comprises using a method selected from a group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach.
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公开(公告)号：US11021951B2
公开(公告)日：2021-06-01
申请号：US16447808
申请日：2019-06-20
Applicant: Halliburton Energy Services, Inc.
Inventor： Peter Ojo Olapade , Bin Dai , Christopher Michael Jones , James Martin Price , Dingding Chen , Anthony Herman Van Zuilekom
Abstract: A method may comprise positioning a downhole fluid sampling tool into a wellbore, performing a pressure test operation within the wellbore, performing a pumpout operation within the wellbore, identifying when a clean fluid sample may be taken by the downhole fluid sampling tool from at least the pressure test operation and the pumpout operation, and acquiring the clean fluid sample from the wellbore. A system may comprise a downhole fluid sampling tool and an information handling machine. The downhole fluid sampling tool may further comprise one or more probes attached to the downhole fluid sampling tool, one or more stabilizers attached to the downhole fluid sampling tool, and a sensor placed in the downhole fluid sampling tool configured to measure drilling fluid filtrate.
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公开(公告)号：US10725203B2
公开(公告)日：2020-07-28
申请号：US15303299
申请日：2015-11-18
Applicant: Halliburton Energy Services, Inc.
Inventor： Dingding Chen , Bin Dai , Jing Shen , Ming Gu
Abstract: A method may include collecting measurement data using a first operational sensor and a second operational sensor of a downhole tool, standardizing optical responses of each operational sensor to a master sensor in a tool parameter space to obtain a standardized master sensor response, transforming the standardized master sensor response to a synthetic parameter space response of the master sensor, applying a fluid model with the synthetic parameter space response of the master sensor to predict a fluid characteristic, comparing a first prediction obtained with the fluid model from the first operational sensor with a second prediction obtained with the fluid model from the second operational sensor, determining a fluid characteristic from the first prediction and the second prediction, and optimizing a well testing and sampling operation according to the fluid characteristic.
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