网络出版日期: 2011-08-20
Application of Kohonen neural network to 2D seismic facies division in E area of Qaidam Basin
Online published: 2011-08-20
于雷 , 陈建文 , 李元 , 李伟华 , 陈振波 . 利用Kohonen 神经网络划分二维地震相———以柴达木盆地E区风险勘探为例[J]. 岩性油气藏, 2011 , 23(4) : 115 -118 . DOI: 10.3969/j.issn.1673-8926.2011.04.021
The situation ofE area is hard to proceed deep research and risk assessment by the absent of prospecting well data. Based on seismic mis-tie calibration, adjacent well calibration and fine horizon interpretation, Kohonen neural network method is applied to carry out two-dimensional seismic facies classification of target zone.Microfacies of delta front such as distributary channel, interdistributary bay and sand bar are recognized. The paleocurrent direction is suspected from southeast to northwest. Reservoir sand bodies developed well in the middle of the study area, preliminary prospecting well is located in favorable sedimentary facies. Sedimentary facies division are supplied and refined by the result of seismic facies,which can supply significant foundation for geometric arrangement of risk wells and regional breakthrough.
Key words: Chang4+5 reservior; ultra-lowpermeability; fracture; Jiyuan Oilfield
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