摘要
以东海盆地西湖凹陷保椒斜坡带平北段Pb-1井为例,运用Matlab小波分析Pb-1井始新统平湖组自然伽马曲线包含的地质信息。根据小波变换后的小波变换系数时频能量和小波变换系数曲线特征,将平湖组划分为3个长期旋回和5个中期旋回,显示出小波变换在测井层序地层划分中具有较高的分辨率,能识别沉积作用中的隐蔽旋回特征。在此基础上,探讨了不同尺度内小波变换系数曲线与煤层发育位置之间的关系。结果表明,研究区煤层多发育于小波变换系数曲线峰值相对较小的位置,即对应于长期旋回内三角洲的退积过程及中期旋回内三角洲退积—进积的转换时期。
Taking the Pinghu formation of Eocene in Well Pb-1 of Pingbei section in Baojiao slope belt in Xihu sag of Donghai basin as an exam-ple,thegeologicinformationcontainedin GRloggingdatafrom Well Pb-1Pinghuformationareanalyzedusing Matlabwavelet.Basedonthetime-frequency energy and curve characteristics of the wavelet transform coefficient after transforming, the coal-bearing strata of the Pinghu forma-tion are divided into 3 long-term cycles and 5 middle-term cycles, which show that the wavelet transform has higher resolution in well logging se-quence stratigraphic division, by which the characteristics of hidden sedimentary cycles can be recognized. On the basis of these, this paper dis-cussed the relationship between the curves of wavelet transform coeficients in different scales and the coal measures positions. The result indi-cates that the coal measures in the study area are mainly located in the positions with relatively small peak value on the curves, which correspondtothedeltaretrogradingprocesswithinthelong-termcyclesandthedeltaretrograding-progradingconversionperiodwithinthemiddlecycles.
出处
《新疆石油地质》
CAS
CSCD
北大核心
2016年第2期169-172,共4页
Xinjiang Petroleum Geology
基金
国家科技重大专项(2011ZX05023-001-008)