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Research on Synthetical Production Proration of Deep Gas Well in Xu Jiaweizi Block Considering Multi Influential Factors
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作者 Qingbo Zhao 《Smart Grid and Renewable Energy》 2012年第2期148-151,共4页
Xu deep volcanic gas reservoir is typical of complex lithology, severe inhomogeneity, big difficulty to extract. Pressure sensitivity always exists in gas reservoirs. Prorating production is too high or low, causing p... Xu deep volcanic gas reservoir is typical of complex lithology, severe inhomogeneity, big difficulty to extract. Pressure sensitivity always exists in gas reservoirs. Prorating production is too high or low, causing problems, as for the energy loss, reservoir damage, bottom effusion, thus lowing the gas productivity and affecting development benefit. So it have to research on a new reasonably production proration method considering multi influential factors. It is a reasonably production proration method considering multi influential factors in Xu gas reservoir, with guidelines such as capacity use, pressure draw down, gas recovery rate, water out and throughout water data is reasonably, so we can long term use it to guide gas field exploitation. 展开更多
关键词 DEEP Gas WELLS Multifactor AOF Synthetical PRODUCTION proration
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Optimal transmission mode proportion for heterogeneous networks of cellular and device-to-device communications 被引量:1
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作者 LIU Zi-yang PENG Tao WANG Wen-bo 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2013年第4期21-27,共7页
This paper discusses about the optimal mode allocation for the heterogeneous networks, in which the network can schedule users working in the device-to-device (D2D) mode or cellular mode. The D2D user is allowed to ... This paper discusses about the optimal mode allocation for the heterogeneous networks, in which the network can schedule users working in the device-to-device (D2D) mode or cellular mode. The D2D user is allowed to reuse the uplink resource of cellular system and the problem is formed as a sum-capacity optimization issue with outage constraints for both cellular and D2D links. The method for the optimal user proration is proved to be divided into three cases according to the total user density: when the total user density is small, the optimal proration trends to all users utilizing one mode; when the total user density is large, the optimal proration is all of users choosing D2D mode; and when the total user density situates in the between, there is a unique optimal transmission mode proportion for the hybrid networks to maximize its sumcapacity. The simulation results demonstrate the validity of the conclusions in the analysis part. 展开更多
关键词 device-to-device mode proration sum-capacity optimization
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