摘要
似源组构异常是表示能与地下油气藏 (烃源 )轻烃组分的组构相似的综合表征 ,要求异常参数必须要有明确地质和地球化学意义 ,能较好地反映烃类结构上的变化 ,就有可能更确切地指示油气藏的存在及其位置。利用熵估值分析、马氏距离分析、聚类分析来计算研究区内各化探指标的变化性大小或各指标组合特征 ,确定其有利数值范围 ,提取异常参数 ,圈定远景区。似源组构异常显著优于总烃浓度异常 ,展示了组构指标参数优于浓度指标 ,具有良好的应用前景。
Source-similar fabric anomaly is used to express the comprehensive characteristics that can reflect the fabric being similar to those of light hydrocarbon component in subsurface reservoirs,which is usually necessary to have exact meanings in geology and geochemistry and reflects the change of hydrocarbon fabrics,so as to indicate more definitely the existence and location of oil/gas reservoirs.By using entropy-value analysis, Marsh distance analysis and clustering analysis,various indexes or their composite characteristics in the study area can be calculated,and the range of favorable numerical values will be determined, anomaly parameters can be chosen,and prospective areas can then be delineated.The method of source-similar fabric anomaly has been proved to have obviously more advantages than the anomaly analysis of total hydrocarbon concentration, which will have good prospects in the future.
出处
《石油与天然气地质》
EI
CAS
CSCD
北大核心
2003年第2期184-186,190,共4页
Oil & Gas Geology
关键词
似源组构异常
浓度异常
组构指标参数
熵值异常
马氏距离异常
source-similar fabric anomaly
concentration anomaly
fabric parameters
entropy-value anomaly
Marsh distance anomaly
