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APPARATUS AND METHOD FOR FORECASTING PRODUCTION FOR SHALE GAS WELL IN TRANSIENT FLOW USING MACHINE LEARNING METHOD

机译:机器学习法预测瞬态流动页岩气井产量的装置和方法

摘要

The present invention relates to an apparatus and method for forecasting production for a shale gas well in a transitional flow region using a machine learning method. More specifically, the apparatus and method may derive an accurate result with less error than a conventional method of predicting productivity for a shale gas well by generating an artificial neural network model based on data to calculate future production for the shale gas well in a transitional flow region and calculating future production behavior and ultimate proved reserve with the calculated future production and production data for the shale gas well in a conventional transitional flow region using a decline curve method.
机译:用于机器学习方法的页岩气井产量预测装置和方法技术领域本发明涉及一种使用机器学习方法预测过渡流区域中的页岩气井产量的设备和方法。更具体地,该装置和方法可以通过基于数据生成人工神经网络模型以计算过渡流中的页岩气井的未来产量来产生比预测页岩气井的生产率的常规方法更少的准确结果。区域,并使用递减曲线法,利用计算出的常规过渡流区域内的页岩气井的未来生产和生产数据,计算未来生产行为和最终探明储量。

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