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1. 发明授权

US11719842B2 Machine learning platform for processing data maps 有权
公开(公告)号：US11719842B2
公开(公告)日：2023-08-08
申请号：US16191112
申请日：2018-11-14
申请人： International Business Machines Corporation , Shell USA, Inc.
发明人： Jorge Luis Guevara Diaz , Bianca Zadrozny , Breno William Santos Rezende de Carvalho , Alvaro Bueno Buoro , Matthias Kormaksson , Ligang Lu , John Tolle , Detlef Hohl , Jan Limbeck , Mingqi Wu
IPC分类号： G01V1/50 , G06N5/022 , G01V1/22 , G06N7/00 , G01V1/30 , G06N20/00
CPC分类号： G01V1/50 , G01V1/22 , G01V1/306 , G06N5/022 , G06N7/00 , G06N20/00
摘要： A system, method and program product for implementing a machine learning platform that processes a data map having feature and operational information. A system is disclosed that includes an interpretable machine learning model that generates a function in response to an inputted data map, wherein the data map includes feature data and operational data over a region of interest, and wherein the function relates a set of predictive variables to one or more response variables; an integration/interpolation system that generates the data map from a set of disparate data sources; and an analysis system that evaluates the function to predict outcomes at unique points in the region of interest.

2. 发明公开

US20230194753A1 AUTOMATIC WEATHER EVENT IMPACT ESTIMATION 审中-公开
公开(公告)号：US20230194753A1
公开(公告)日：2023-06-22
申请号：US17559507
申请日：2021-12-22
申请人： International Business Machines Corporation
发明人： Dario Augusto Borges Oliveira , Bianca Zadrozny , Campbell D. Watson , Jorge Luis Guevara Diaz
IPC分类号： G01W1/10 , H04W4/90 , G06N3/04 , G06N7/00
CPC分类号： G01W1/10 , H04W4/90 , G06N3/04 , G06N7/005
摘要： A processor may receive weather event data. The processor may determine, utilizing an artificial intelligence model mapping weather events having weather impacts with a higher likelihood of occurrence proximate to each other in the latent space, a weather impact associated with a weather event. In some embodiments, the artificial intelligence model may be trained using historical weather event data and historical weather impact data associated with the historical weather event data. The processor may output the weather impact associated with the weather event to a user.

3. 发明授权

US11348021B2 Assisting prospect evaluation in oil and gas exploration 有权
公开(公告)号：US11348021B2
公开(公告)日：2022-05-31
申请号：US16367529
申请日：2019-03-28
申请人： International Business Machines Corporation
发明人： Bianca Zadrozny , Renato Fontoura de Gusmao Cerqueira , Bruno da Costa Flach , Ulisses T. Mello
IPC分类号： G06N5/04 , G06F16/9538 , G01N33/24 , G01V8/02 , E21B49/00 , E21B47/00
摘要： A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.

4. 发明授权

US09659248B1 Machine learning and training a computer-implemented neural network to retrieve semantically equivalent questions using hybrid in-memory representations 有权
公开(公告)号：US09659248B1
公开(公告)日：2017-05-23
申请号：US15000647
申请日：2016-01-19
申请人： International Business Machines Corporation
发明人： Luciano de Andrade Barbosa , Daria Bogdanova , Matthias Kormaksson , Cicero Nogueira dos Santos , Bianca Zadrozny
IPC分类号： G06N3/04 , G06N3/08 , G06F17/28
CPC分类号： G06N3/0472 , G06F17/2785 , G06F17/28 , G06F17/30654 , G06F17/30684 , G06N3/0427 , G06N3/0454 , G06N3/08 , G06N3/084
摘要： Determining semantically equivalent text or questions using hybrid representations based on neural network learning. Weighted bag-of-words and convolutional neural networks (CNN) based distributed vector representations of questions or text may be generated to compute the semantic similarity between questions or text. Weighted bag-of-words and CNN based distributed vector representations may be jointly used to compute the semantic similarity. A pair-wise ranking loss function trains neural network. In one embodiment, the parameters of the system are trained by minimizing a pair-wise ranking loss function over a training set using stochastic gradient descent (SGD).

5. 发明申请

US20140136462A1 SYSTEM, METHOD AND PROGRAM PRODUCT FOR AUTOMATICALLY SUPPLYING MISSING PARAMETERS FOR MATCHING NEW MEMBERS OF A POPULATION WITH ANALOGOUS MEMBERS 有权
标题翻译：系统，方法和程序产品，用于自动提供错配参数，用于匹配具有模拟成员的人口新成员
公开(公告)号：US20140136462A1
公开(公告)日：2014-05-15
申请号：US13677289
申请日：2012-11-14
申请人： International Business Machines Corporation , Repsol
发明人： Mohamed Ahmed Hegazy , Sonia Mariette Embid Droz , Elena Escobar , Maria Jose Lopez Perez-Valiente , Hilario Rodriguez , Ulisses T. Mello , Cicero Nogueira Dos Santos , Marcos Rodrigues Vieira , Bianca Zadrozny
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N5/00 , G06N5/04
摘要： A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description.
摘要翻译：人口比较系统，方法和计算机程序产品。存储的种群成员例如烃储存的列表包括用于每个成员的相应已知特征和类似构件的参数。新的群体成员输入接收新成员描述，包括每个相应新成员的参数。参数提取系统自动提取每个缺失关键参数的估计值，并提供补充说明。类似的成员选择器响应于补充的描述，自动选择列出的群体成员的子集作为每个新的群体成员的类似成员。

6. 发明申请

US20230025848A1 SIMULATING WEATHER SCENARIOS AND PREDICTIONS OF EXTREME WEATHER 有权
公开(公告)号：US20230025848A1
公开(公告)日：2023-01-26
申请号：US17383387
申请日：2021-07-22
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Dario Augusto Borges Oliveira , Bianca Zadrozny , Campbell D. Watson , Jorge Luis Guevara Diaz
IPC分类号： G01W1/10 , G06N20/00 , G06N5/04 , G06N5/02 , G06F17/18
摘要： A computer implemented method of predictive weather occurrences includes generating, by a computer processor, a training model through artificial intelligence. The training model is based on climate data processed by a variational autoencoder. A geographic location is selected for climate study. Historical weather measurements associated with the selected geographic location are retrieved from a knowledge climate database. The retrieved historical weather measurements are processed using the training model. The training model receives threshold parameters defining extremeness of weather. Extremeness is based on a weather intensity data point being farther from a norm than closer to the norm. Synthetic weather data is generated for the selected location, wherein the synthetic weather data predicts weather events satisfying the extremeness threshold parameters.

7. 发明授权

US10822923B2 Resource identification using historic well data 有权
公开(公告)号：US10822923B2
公开(公告)日：2020-11-03
申请号：US14986498
申请日：2015-12-31
申请人： International Business Machines Corporation
发明人： Matthias Kormaksson , Marcos Rodrigues Vieira , Bianca Zadrozny
IPC分类号： E21B41/00 , E21B43/00
摘要： A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

8. 发明授权

US10372987B2 Agricultural method and system using a high resolution sensing device for analyzing and servicing crops 有权
公开(公告)号：US10372987B2
公开(公告)日：2019-08-06
申请号：US15590601
申请日：2017-05-09
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Rafael R. De Mello Brandao , Marcio F. Moreno , Igor C. Oliveira , Marcelo N. Dos Santos , Leonardo P. Tizzei , Bianca Zadrozny , Maciel Zortea
IPC分类号： G06K9/00 , G06K9/62 , A01G7/00 , A01B79/00 , A01G25/09
摘要： A system for observing agricultural samples includes a chassis suspended on an elevated cable or rail, an actuator disposed within the chassis for moving the chassis forward and backward along the elevated cable or rail, a camera mounted on or within the chassis and configured to acquire image data of an area below the elevated cable or rail including an agricultural sample, and a processor disposed within the chassis for receiving image data from the camera, autonomously controlling the actuator to move the chassis along the elevated cable or rail, and assessing a condition of the agricultural sample from the received image data.

9. 发明申请

US20160210310A1 GEOSPATIAL EVENT EXTRACTION AND ANALYSIS THROUGH DATA SOURCES 审中-公开
标题翻译：通过数据来源进行地质事件提取和分析
公开(公告)号：US20160210310A1
公开(公告)日：2016-07-21
申请号：US14598776
申请日：2015-01-16
申请人： International Business Machines Corporation
发明人： Cicero Nogueira dos Santos , Marcos R. Vieira , Bianca Zadrozny
IPC分类号： G06F17/30
CPC分类号： G06F16/29 , G06F16/2477
摘要： In an approach for extracting geospatial temporal facts and events, a processor receives a set of structured data and a set of unstructured data. A processor extracts a first set of temporal information and a first set of geospatial information from the set of unstructured data. A processor identifies a second set of temporal information and a second set of geospatial information from the set of structured data. A processor determines that the set of structured data and the set of unstructured data are related, based on at least the first set of temporal information, the second set of temporal information, the first set of geospatial information, and the second set of geospatial information. A processor groups the set of structured data and the set of unstructured data into a collective set of data. A processor stores the collective set of data.
摘要翻译：在提取地理空间时间事件和事件的方法中，处理器接收一组结构化数据和一组非结构化数据。处理器从非结构化数据集中提取第一组时间信息和第一组地理空间信息。处理器从所述一组结构化数据识别第二组时间信息和第二组地理空间信息。处理器基于至少第一组时间信息，第二组时间信息，第一组地理空间信息和第二组地理空间信息来确定结构化数据集和非结构化数据集是相关的。 A处理器将该组结构化数据和一组非结构化数据分组为一组集合的数据。处理器存储集合的数据。

10. 发明授权

US09417256B2 System, method and program product for automatically matching new members of a population with analogous members 有权
标题翻译：系统，方法和程序产品，用于自动匹配具有类似成员的群体的新成员
公开(公告)号：US09417256B2
公开(公告)日：2016-08-16
申请号：US13711616
申请日：2012-12-12
申请人： Repsol, S.A. , International Business Machines Corporation
发明人： Mohamed Ahmed Hegazy , Sonia Mariette Embid Droz , Hilario Martin Rodriguez , Bruno Da Costa Flach , Davi Michel Valladao , Bianca Zadrozny
IPC分类号： G01N31/00 , G01V1/40 , G01N37/00 , G01V99/00
CPC分类号： G01N37/00 , G01V99/005 , G01V2210/624 , G01V2210/665
摘要： A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, characteristics and analogous members is partitioned into lists for each member. A weighting system automatically uses the partitions to determine a weight set (w*) for population member characteristic and a similarity function. The weighting system may include an objective model that iteratively, blindly identifies analogous members for each population member until the identified analogous members match the listed analogous members. An analogous member selector uses the weights set (w*) and similarity function to automatically select analogous listed members for each new population member.
摘要翻译：人口比较系统，方法和计算机程序产品。存储的群体成员列表（例如，碳氢化合物油藏，特征和类似成员）被划分成每个成员的列表。加权系统自动使用分区来确定群体成员特征和相似度函数的权重集（w *）。加权系统可以包括客观模型，其迭代地盲目地识别每个群体成员的类似成员，直到所识别的类似成员与列出的类似成员相匹配。类似的成员选择器使用权重集（w *）和相似度函数来为每个新的群体成员自动选择类似的列表成员。

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