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公开(公告)号：US12093216B2
公开(公告)日：2024-09-17
申请号：US18495425
申请日：2023-10-26
IPC分类号： G01N21/3577 , E21B49/08 , G01N21/94 , G01N33/28 , G01V8/10 , G06F16/11 , G06N3/045 , G06N3/08
CPC分类号： G06F16/122 , E21B49/08 , G01N21/3577 , G01N21/94 , G01N33/2823 , G01V8/10 , G06N3/045 , G06N3/08 , G01N2201/12
摘要： A method includes receiving first material property data for a first material in one or more second materials, detecting material sensor data from at least one sensor, and applying an inverse model and a forward model to the first material property data to provide, at least in part, synthetic sensor measurement data for the one or more second materials.
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公开(公告)号：US11946368B2
公开(公告)日：2024-04-02
申请号：US18083176
申请日：2022-12-16
CPC分类号： E21B49/005 , E21B49/0875
摘要： 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：US11725505B2
公开(公告)日：2023-08-15
申请号：US17665999
申请日：2022-02-07
发明人： Dingding Chen , Li Gao , Joni Polili Lie , Paravastu Badrinarayanan , Faisal Farooq Shah , Bipin K. Pillai , Murali Krishna Thottempudi
摘要： This disclosure presents a process for communications in a borehole containing a fluid or drilling mud, where a conventional mud pulser can be utilized to transmit data to a transducer. The transducer, or a communicatively coupled computing system, can perform pre-processing steps to correct the received data using an average of a moving time window of the received data, and then normalize the corrected data. The corrected data can then be utilized as inputs into a machine learning mud pulse recognition network where the data can be classified and an ideal or clean pulse waveform can be overlaid the corrected data. The overlay and the corrected data can be fed into a conventional decoder or decoded by the disclosed process. The decoded data can then be communicated to another system and used as inputs, such as to a well site controller to enable adjustments to well site operation parameters.
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公开(公告)号：US20220404521A1
公开(公告)日：2022-12-22
申请号：US17899282
申请日：2022-08-30
摘要： 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：US11366247B2
公开(公告)日：2022-06-21
申请号：US16935042
申请日：2020-07-21
发明人： Dingding Chen , Bin Dai , Jing Shen , Ming Gu
摘要： 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：US10935684B2
公开(公告)日：2021-03-02
申请号：US15760694
申请日：2016-10-24
发明人： Ming Gu , John Andrew Quirein , Dingding Chen
摘要： Near real-time methodologies for maximizing return-on-fracturing-investment for shale fracturing. An example system can calculate, based on sonic data and density data, mechanical properties and closure stress of a portion of shale rocks for fracture modeling. The system can generate one or more rock mechanical models based on the mechanical properties and closure stress of the portion of shale rocks, and perform one or more fracture modeling simulations based on one or more treatment parameter values. Based on the one or more fracture modeling simulations, the system can generate a neural network model which predicts a fracture productivity indicator of an effective propped area (EPA) and/or an effective propped length (EPL), and calculate a return-on-fracturing-investment (ROFI) based on the EPA or EPL predicted by the neural network model.
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公开(公告)号：US10108754B2
公开(公告)日：2018-10-23
申请号：US15508904
申请日：2015-10-30
发明人： Dingding Chen , James M. Price , Bin Dai
摘要： A method for ruggedizing an ICE design, fabrication and application with neural networks as disclosed herein includes selecting a database for integrated computational element (ICE) optimization is provided. The method includes adjusting a plurality of ICE operational parameters according to an environmental factor recorded in the database and simulating environmentally compensated calibration inputs. The method includes modifying a plurality of ICE structure parameters to obtain an ICE candidate structure having improved performance according to a first algorithm applied to the database and validating the ICE candidate structure with an alternative algorithm applied to the database. Further, the method includes determining a plurality of manufacturing ICEs based on the validation with the first algorithm and the alternative algorithm, and fabricating one of the plurality of manufacturing ICEs. A method for determining a fluid characteristic using a calibrated ICE fabricated as above and supplemental elements is also provided.
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公开(公告)号：US09542511B2
公开(公告)日：2017-01-10
申请号：US14650820
申请日：2013-12-27
发明人： Dingding Chen , David L. Perkins , Christopher Michael Jones , Jing Shen , Michael T. Pelletier , Robert Atkinson
CPC分类号： G06F17/5009 , E21B49/10 , E21B2049/085 , G01N33/2823 , G06F17/11 , G06F19/704 , G06F19/707 , G06F2217/16 , G06N3/0481 , G06N3/126
摘要： The disclosed embodiments include a method, apparatus, and computer program product for determining a synthetic gas-oil-ratio for a gas dominant fluid. For example, one disclosed embodiment includes a system that includes at least one processor, and 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 that include optimizing a gas-oil-ratio database using a genetic algorithm and a multivariate regression simulator and generating a synthetic gas-oil-ratio for a gas dominant fluid. In one embodiment, optimizing a gas-oil-ratio database using a genetic algorithm and a multivariate regression simulator comprises defining gas-oil-ratio searching boundaries gas-oil-ratio for each gas dominant fluid; assigning randomly a synthetic gas-oil-ratio for each gas dominant fluid in a set of gas dominant fluids in the initial population of gas-oil-ratio data, wherein the gas-oil-ratio for each gas dominant fluid is within the searching boundaries; generating an initial population of gas-oil-ratio data for a set of gas dominant fluids; and evaluating synthetic gas-oil-ratio assignments for the initial population using the multivariate regression simulator.
摘要翻译： 所公开的实施例包括用于确定气体优先流体的合成瓦斯油比的方法，装置和计算机程序产品。 例如，一个公开的实施例包括一个系统，该系统包括至少一个处理器，以及耦合到该至少一个处理器的至少一个存储器，并且存储当由至少一个处理器执行时执行包括优化气 - 油 - 比例数据库，使用遗传算法和多元回归模拟器，并为气体主导流体产生合成瓦斯油比。 在一个实施例中，使用遗传算法和多元回归模拟器来优化瓦斯油比数据库包括为每个气体主导流体定义瓦斯油比搜索边界瓦斯油比; 在原始油气比数据的初始群体中随机分配一组气体主导流体中的每种气体主导流体的合成瓦斯油比，其中每个气体主导流体的瓦斯 - 油比在搜索边界内 ; 产生一组气体主导流体的初始油气比数据; 并使用多元回归模拟器评估初始种群的合成瓦斯油比分配。
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9.发明申请OPTICAL SENSOR OPTIMIZATION AND SYSTEM IMPLEMENTATION WITH SIMPLIFIED LAYER STRUCTURE 审中-公开光传感器优化和系统实现与简化层结构公开(公告)号：US20150277438A1
公开(公告)日：2015-10-01
申请号：US14432336
申请日：2013-05-07
IPC分类号： G05B19/418 , G06N3/02 , G06N3/12
CPC分类号： G05B19/4188 , G01J3/28 , G01J2003/1226 , G01N21/31 , G02B5/281 , G02B27/0012 , G05B2219/41054 , G05B2219/45032 , G06N3/02 , G06N3/126
摘要： This disclosure includes methods for designing a simplified Integrated Computational Element (ICE) and for optimizing a selection of a combination of ICE designs. A method for fabricating a simplified ICE having one or more film layers includes predicting an optimal thickness of each of the one or more film layers of the simplified ICE using a neural network. A method for re-calibrating the fabricated ICE elements for system implementation is also disclosed. The disclosure also includes the simplified ICE designed by and the ICE combination selected by the disclosed methods. The disclosure also includes an information handling system with machine-readable instructions to perform the methods disclosed herein.
摘要翻译： 本公开包括用于设计简化的集成计算元件（ICE）和优化ICE设计的组合的选择的方法。 用于制造具有一个或多个膜层的简化ICE的方法包括使用神经网络来预测简化ICE的一个或多个膜层中的每一个的最佳厚度。 还公开了一种用于重新校准用于系统实现的制造的ICE元件的方法。 本公开还包括由所公开的方法选择的由ICE组合设计的简化ICE和ICE组合。 本公开还包括具有用于执行本文公开的方法的机器可读指令的信息处理系统。
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公开(公告)号：US11933931B2
公开(公告)日：2024-03-19
申请号：US16870198
申请日：2020-05-08
发明人： Dingding Chen , Bin Dai , Christopher M. Jones , Darren Gascooke , Tian He
IPC分类号： G01V13/00 , E21B7/00 , E21B47/06 , E21B47/07 , E21B47/135 , E21B49/08 , G01D18/00 , G01N21/00 , G01V8/10
CPC分类号： G01V13/00 , E21B7/00 , E21B47/06 , E21B47/07 , E21B47/135 , E21B49/08 , G01D18/00 , G01N21/00 , G01V8/10
摘要： A method includes obtaining a plurality of master sensor responses with a master sensor in a set of training fluids and obtaining node sensor responses in the set of training fluids. A linear correlation between a compensated master data set and a node data set is then found for a set of training fluids and generating node sensor responses in a tool parameter space from the compensated master data set on a set of application fluids. A reverse transformation is obtained based on the node sensor responses in a complete set of calibration fluids. The reverse transformation converts each node sensor response from a tool parameter space to the synthetic parameter space and uses transformed data as inputs of various fluid predictive models to obtain fluid characteristics. The method includes modifying operation parameters of a drilling or a well testing and sampling system according to the fluid characteristics.
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