SIMULATING WEATHER SCENARIOS AND PREDICTIONS OF EXTREME WEATHER

    公开(公告)号:US20230025848A1

    公开(公告)日:2023-01-26

    申请号:US17383387

    申请日:2021-07-22

    Abstract: 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.

    Resource identification using historic well data

    公开(公告)号:US10822923B2

    公开(公告)日:2020-11-03

    申请号:US14986498

    申请日:2015-12-31

    Abstract: 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.

    GEOSPATIAL EVENT EXTRACTION AND ANALYSIS THROUGH DATA SOURCES
    8.
    发明申请
    GEOSPATIAL EVENT EXTRACTION AND ANALYSIS THROUGH DATA SOURCES 审中-公开
    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

    CPC classification number: G06F16/29 G06F16/2477

    Abstract: 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.

    Abstract translation: 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。

    System, method and program product for automatically matching new members of a population with analogous members
    9.
    发明授权
    System, method and program product for automatically matching new members of a population with analogous members 有权
    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

    CPC classification number: G01N37/00 G01V99/005 G01V2210/624 G01V2210/665

    Abstract: 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.

    Abstract translation: 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。

    SYSTEM, METHOD AND PROGRAM PRODUCT FOR AUTOMATICALLY MATCHING NEW MEMBERS OF A POPULATION WITH ANALOGOUS MEMBERS
    10.
    发明申请
    SYSTEM, METHOD AND PROGRAM PRODUCT FOR AUTOMATICALLY MATCHING NEW MEMBERS OF A POPULATION WITH ANALOGOUS MEMBERS 有权
    系统,方法和程序产品,用于自动匹配具有模拟成员的人口新成员

    公开(公告)号:US20140163901A1

    公开(公告)日:2014-06-12

    申请号:US13711616

    申请日:2012-12-12

    CPC classification number: G01N37/00 G01V99/005 G01V2210/624 G01V2210/665

    Abstract: 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.

    Abstract translation: 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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