A new method to predict the reservoir porosity based on fuzzy-PCA and neural network

Porosity and permeability are the two fundamental and crucial reservoir parameters which are often used in reservoir description. However, the two properties are difficult to be measured and predicted, due to some influences such as rock type and cement and so on. In this paper, we proposed a new me...

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Bibliographische Detailangaben

Hauptverfasser:	Zhenglie Ma, Xiaoping Luo, Pengying Du, Jiagen Hou, Dongping Duan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Covariance matrix Dimension Reduction Eigenvalues and eigenfunctions Fuzzy theory Neural Network Neurons Noise Porosity Principal component analysis Reservoirs
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