Application of BP Neural Network in Oil Field Production Prediction

Lei Sun, Yange Bi, Guorong Lu
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引用次数: 1

Abstract

This paper introduces a new Neural Network model which is suitable for oil production prediction with training parameter set. From the comparison between prediction of oil production and real production, the precision of prediction meets the requirements quite well. In addition, this new model offers better self-adaptive ability and can be used in multi-cycle and multi-descending production forecast. In general, BP Neural Network is an ideal mean for oil production prediction.
BP神经网络在油田产量预测中的应用
本文介绍了一种新的神经网络模型,该模型适用于具有训练参数集的石油产量预测。从预测产油量与实际产油量的对比来看,预测精度达到了要求。该模型具有较好的自适应能力,可用于多周期、多递减的产量预测。总的来说,BP神经网络是一种理想的石油产量预测手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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