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模糊逻辑和神经网络及其在含油饱和度预测中的应用 被引量:3
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作者 赵睿 Roger. T 石磊 《测井技术》 CAS CSCD 2007年第4期327-330,共4页
对人工智能技术在油田开发中的应用做了简要回顾。介绍了模糊逻辑理论中的模糊排队算法和人工智能中的BP神经网络模型。将模糊排队算法和BP神经网络相结合,以新疆油田某井的实际测井曲线为例,用模糊曲线分析方法确定全局相关性强的输入... 对人工智能技术在油田开发中的应用做了简要回顾。介绍了模糊逻辑理论中的模糊排队算法和人工智能中的BP神经网络模型。将模糊排队算法和BP神经网络相结合,以新疆油田某井的实际测井曲线为例,用模糊曲线分析方法确定全局相关性强的输入变量(测井曲线),建立BP神经网络含油饱和度预测模型,并对含油饱和度做了预测,利用模型的预测结果和计算值相比较具有较高的吻合度,证明该方法在实际储层参数预测中具有良好的实用性。 展开更多
关键词 测井曲线 模糊理论 神经网络 含油饱和度 储层参数
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Lessons learned from coreflood experiments with surfactant-polymer and alkali-surfactant-polymer for enhanced oil recovery 被引量:1
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作者 Ivan Kurnia Muhammad Fatchurrozi +1 位作者 Riyaz Ghulam Anwary Guoyin Zhang 《Petroleum》 EI CSCD 2023年第4期487-498,共12页
A review of coreflood experiments for chemically enhanced oil recovery(EOR)is presented in this paper,particularly surfactant-polymer(SP)and alkali-surfactant-polymer(ASP)processes.The objective of this review is to g... A review of coreflood experiments for chemically enhanced oil recovery(EOR)is presented in this paper,particularly surfactant-polymer(SP)and alkali-surfactant-polymer(ASP)processes.The objective of this review is to gain a general outlook and insight from coreflood experiments injecting SP or ASP slug as tertiary recovery.The discussion is separated into sections based on relevant core and fluid properties as well as surfactant selection and SP/ASP slug design and their impact on incremental recovery.Most studies in this review have been published within the last twenty years but few older coreflood works have been included for benchmarking.Parameters in each reviewed study have been summarized in tables to help readers gain detailed observation.Lessons learned from these past experiments should help other chemical EOR practitioners or students of the field in benchmarking or improving the outcomes of their future SP/ASP experiments. 展开更多
关键词 Enhanced oil recovery SURFACTANT POLYMER ALKALI Coreflood
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