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Oilfield water and well management using modeled predictions of oilfield water production or hydrocarbon production

机译:使用油田水产量或碳氢化合物产量的模型预测来进行油田水和油井管理

摘要

A method for managing oilfield water. Oilfield water data is grouped into discrete and non-overlapping groups. Outliers are removed from the data. Features of the remaining data are analyzed to identify most discriminative feature. The data is separated into training data and testing data, and the training data is fit into a model that shows the best precision, accuracy and recall. The model is confirmed using the testing data. Upon confirmation of the accuracy of the model, the model is applied to data for a new proposed oilfield well, and a new proposed project is implemented or disapproved based on a result of the identified model that predicts water production of the new proposed oilfield well.
机译:一种管理油田水的方法。油田水数据分为离散组和非重叠组。从数据中删除异常值。分析剩余数据的特征以识别最具区分性的特征。数据被分为训练数据和测试数据,并且训练数据被拟合为一个模型,该模型显示出最佳的准确性,准确性和召回率。使用测试数据确认模型。在确认模型的准确性后,将模型应用于新提议的油田井的数据,并基于识别出的预测新提议的油田井的水的模型的结果,实施或拒绝新的提议项目。

著录项

  • 公开/公告号US10565540B2

    专利类型

  • 公开/公告日2020-02-18

    原文格式PDF

  • 申请/专利权人 SOURCEWATER INC.;

    申请/专利号US201514837930

  • 申请日2015-08-27

  • 分类号G06Q10/06;

  • 国家 US

  • 入库时间 2022-08-21 11:29:45

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