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泌阳凹陷孙岗地区储层测井解释方法研究 被引量:8
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作者 王鹏 《石油地质与工程》 CAS 2007年第1期31-33,共3页
针对孙岗地区油水关系复杂、以往储层测井解释符合率低的问题,在分析储层岩性、物性、电性、含油性关系的基础上,开展了油、水、干层识别方法研究,建立了孙岗地区油、水、干层的判别标准,在常规图版判别法的基础上,引入φ-S_w模式法和... 针对孙岗地区油水关系复杂、以往储层测井解释符合率低的问题,在分析储层岩性、物性、电性、含油性关系的基础上,开展了油、水、干层识别方法研究,建立了孙岗地区油、水、干层的判别标准,在常规图版判别法的基础上,引入φ-S_w模式法和神经网络模式识别法。综合应用三种解释方法,提高了该区储层测井解释符合率。 展开更多
关键词 测井解释 储层 Ф-Sw模式 神经网络模式识别法
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Influence of Blurred Ways on Pattern Recognition of a Scale-Free Hopfield Neural Network
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作者 常文利 《Communications in Theoretical Physics》 SCIE CAS CSCD 2010年第1期195-199,共5页
We investigate the influence of blurred ways on pattern recognition of a Barabasi-Albert scale-free Hopfield neural network (SFHN) with a small amount of errors. Pattern recognition is an important function of infor... We investigate the influence of blurred ways on pattern recognition of a Barabasi-Albert scale-free Hopfield neural network (SFHN) with a small amount of errors. Pattern recognition is an important function of information processing in brain. Due to heterogeneous degree of scale-free network, different blurred ways have different influences on pattern recognition with same errors. Simulation shows that among partial recognition, the larger loading ratio (the number of patterns to average degree P/ (k) ) is, the smaller the overlap of SFHN is. The influence of directed (large) way is largest and the directed (small) way is smallest while random way is intermediate between them. Under the ratio of the numbers of stored patterns to the size of the network PIN is less than O. 1 conditions, there are three families curves of the overlap corresponding to directed (small), random and directed (large) blurred ways of patterns and these curves are not associated with the size of network and the number of patterns. This phenomenon only occurs in the SFHN. These conclusions are benefit for understanding the relation between neural network structure and brain function. 展开更多
关键词 scale-free neural network pattern recognition blurred ways
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