摘要
河流相储集层是油气赋存的重要载体之一 ,受河流沉积事件性的影响 ,其发育和分布非常复杂 ,空间变化很快 ,因而精细描述河流相储集层的分布并检测其含油性的变化是勘探中的关键。通过分析河流相储集层的发育情况及其地震地质特点 ,探讨了地震多参数和神经网络技术在河流相储集层预测和描述中的应用 ,并在埕岛地区馆陶组的描述中进行了尝试 ,说明该方法在河流相储集层的描述中是有效的。
Fluvial reservoir is one of the most important hydrocarbon carriers and is critical to exploration for oil and gas. But affected by events of fluvial deposition, the distribution of fluvial reservoirs is very complicated and changes very rapidly in space. The description of fluvial reservoirs and detection of their hydrocarbon potentials has become a key problem in exploration. This paper illustrated the application of attribute analysis and neural network in the prediction and description of fluvial reservoirs through an analysis of the growth of fluvial reservoir and its seismic and geologic characteristics on Guantao Formation, Chengdao survey area. Satisfactory results have been achieved.
出处
《勘探地球物理进展》
2003年第2期124-128,共5页
Progress in Exploration Geophysics