摘要
为了准确确定埕东凸起古近系东营组31砂组地层超覆油藏的超覆线,以测井、地震和地质统计资料为基础,建立正演模型,提出了以地层夹角定量外推确定地层超覆线的方法。同时针对薄储层不易识别的特点,应用神经网络算法,以正演模型为基础,提出4种岩性组合的波形分类,其中Ⅱ类波形反映的储盖组合最有利,含油性较高。
For confirming the overlap-line in 3 member of Dongying Formation in Chengdong Arch,the forward model and the method of confirming overlap-line by using extrapolation of stratigraphy angle were built up based on the information of well logs,seismic and geological static data. In view of the hardly legible of thin layers ,4 types of waveform classification of lithology combination were proposed based on the forward model and neural network algorithm. The reservoir-seal combination,which is reflected by the type Ⅱ waveform,is the best.
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2007年第6期53-55,共3页
Petroleum Geology and Recovery Efficiency
关键词
地层超覆油藏
波形分类
薄储层预测
埕东凸起
stratigraphic overlap oil reservoir, waveform classification, thin layers prediction, Chengdong Arch
