1) hydrocarbon prediction
烃类预测
1.
Issues of hydrocarbon prediction with neural network methods;
神经网络方法烃类预测中的问题探讨
3) hydrocarbon detection
烃类检测
1.
Three orders and five methods of non structural trap exploration are suggested based on the integrative research on the hydrocarbon generation, paleostructural evolution, seismic sequence stratigraphy, seismic and chemical hydrocarbon detection.
３个层次及有关方法是：在盆地规模上进行整体、动态、综合研究，寻找有利油气聚集带；在有利油气聚集带规模上，开展高分辨率层序地震地层学研究，寻找各类有效尖灭体和圈闭；在可能的圈闭基础上，利用地震烃类检测和化探技术进行圈闭评价。
2.
It is a powerful tool for researching basinal evolution history, sedimentology, detailed structural interpretation, lateral reservoir prediction, hydrocarbon detection, reservoir description and formation pressure prediction through integration with petroleum geology and seismic prospecting data acquisition/processing/interpretation.
它把石油地质与地震勘探数据采集、处理、解释融为一体,是研究盆地发育史、沉积学、精细构造解释、储集层横向预测、烃类检测、油藏描述、地层压力预测等的有力工具,是一门新兴的生命力很强的边缘学科。
4) hydrocarbon detecting
烃类检测
1.
These experiment results are very encouraging, especially in hydrocarbon detecting and imaging of the seismic obscure zone.
试验效果是不错的 ,主要表现在烃类检测和模糊区成像上。
2.
It is found that the multiwave data is very helpful to direct hydrocarbon detecting.
利用多波地震资料进行烃类检测效果很好,解决了许多常规纵被地震所不能解决的油气勘探问题。
5) hydrocarbon resources calculation
烃资源预测
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条