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A new method for well pattern density optimization and recovery efficiency evaluation of tight sandstone gas reservoirs
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作者 Gao Shusheng Liu Huaxun +3 位作者 Ye Liyou Wen Zhijie Zhu Wenqing Zhang Chun 《Natural Gas Industry B》 2020年第2期133-140,共8页
For the sake of improving the reliability of the method for well pattern density optimization of tight sandstone gas reservoir and effectively demonstrate the relationship between well pattern density and recovery eff... For the sake of improving the reliability of the method for well pattern density optimization of tight sandstone gas reservoir and effectively demonstrate the relationship between well pattern density and recovery efficiency, the well interference probability curve of the target study area in the Sulige Gas Field was plotted by establishing the calculation method for well interference probability. Then, a new method suitable for well pattern density optimization and recovery efficiency evaluation of tight sandstone gas reservoirs was established. Finally, this new method was applied in three encryption test areas of the Sulige Gas Field. And the following research results were obtained. First, the well interference probability of tight sandstone gas reservoir is heavily dependent on the well pattern density. With the increase of the well pattern density, the well interference probability presents a gradual increasing trend. And the well interference probability doesn't reach or approach to 1 until the well pattern density reaches a higher value. Second, in the three encryption test areas of the Sulige Gas Field, the economically optimal well pattern density is in the range of 2.6-3.1 wells/km^(2), and its corresponding recovery efficiency is 36.6-39.8% and corresponding well interference probability is 28-33%, while the economic limit well pattern density is in the range of 5.2-6.6 wells/km^(2), and its corresponding recovery efficiency is 46.8-49.8% and corresponding well interference probability is 83-89%. Third, the well interference probability corresponding to the economically optimal well pattern density of tight sandstone gas reservoir in the Sulige Gas Field is about 30%, and that corresponding to the economic limit well pattern density is about 85%. In conclusion, by virtue of this new method, the economically optimal well pattern density and the economic limit well pattern density and their corresponding recovery efficiencies can be calculated, so as to realize the well pattern optimization and recovery efficiency evaluation of tight sandstone gas reservoirs. The research results can provide theoretical support for the economic and efficient development of the Sulige Gas Field, and useful reference for the benefit development of the same type of gas reservoirs. 展开更多
关键词 Tight sandstone gas reservoir interference probability Recovery efficiency Economically optimal well pattern density Economic limit well pattern density Ordos Basin Sulige Gas Field
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QoS Constrained Network Coding Technique to Data Transmission Using IoT
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作者 A.Sathishkumar T.Rammohan +5 位作者 S.Sathish Kumar J.Uma K.Srujan Raju Aarti Sangwan M.Sivachitra M.Prabu 《Computer Systems Science & Engineering》 SCIE EI 2022年第11期531-544,共14页
The research work presents,constrained network coding technique to ensure the successful data transmission based composite channel cmos technology using dielectric properties.The charge fragmentation and charge splitt... The research work presents,constrained network coding technique to ensure the successful data transmission based composite channel cmos technology using dielectric properties.The charge fragmentation and charge splitting are two components of the filtered switch domino(FSD)technique.Further behavior of selected switching is achieved using generator called conditional pulse generator which is employed in Multi Dynamic Node Domino(MDND)technique.Both FSD and MDND technique need wide area compared to existing single nodekeeper domino technique.The aim of this research is to minimize dissipation of power and to achieve less consumption of power.The proposed research,works by introducing the method namely Interference and throughput aware Optimized Multicast Routing Protocol(IT-OMRP).The main goal of this proposed research method is to introduce the system which can forward the data packets towards the destination securely and successfully.To achieve the bandwidth and throughput in optimized data transmission,proposed multicast tree is selected by Particle Swarm Optimization which will select the most optimal host node as the branches of multi cast tree.Here node selection is done by considering the objectives residual energy,residual bandwidth and throughput.After node selection multi cast routing is done with the concern of interference to ensure the reliable and successful data transmission.In case of transmission range size is higher than the coverage sense range,successful routing is ensured by selecting secondary host forwarders as a backup which will act as intermediate relay forwarders.The NS2 simulator is used to evaluate research outcome from which it is proved that the proposed technique tends to have increased packet delivery ratio than the existing work. 展开更多
关键词 Multicast routing optimal node selection secondary relay nodes probability of interference residual energy BANDWIDTH THROUGHPUT
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Optimal fusion rule for cooperative spectrum sensing in cognitive radio networks 被引量:2
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作者 WANG Qian YUE Dian-wu YAN Qiu-na 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2012年第5期58-65,共8页
In this paper, we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user (PU) link. Our objective is to minimize ... In this paper, we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user (PU) link. Our objective is to minimize the average error probability (AEP) so that the link utilization in the considered link achieves its maximum. We derive a closed-form expression of AEP as well as the probability of interference (PoI) by classifying cognitive transmission into six events. Then, we consider the minimization of AEP over counting rules under the constraint of interference. As the solution, we develop an efficient algorithm to evaluate the optimal fusion rule. Finally, we verify our analysis in numerical results. 展开更多
关键词 cooperative spectrum sensing cognitive radio network average error probability countering rule probability of interference spectrum usage
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