摘要
本文从TBM地区目的层的地质和地球物理特征分析出发,以三维地震资料为基础,综合利用人工和神经网络波形分类等定性储层预测方法和利用反演及敏感地震属性分析,对TBM地区低孔渗砂岩分布区开展了砂体展布特征分析和天然气高产区预测研究。根据研究结果部署了10口钻井,已完钻的4口井中有3口获得高产气流(其中DK27井日产天然气36.8×104m3)。值得指出的是,目前所用的预测方法还不能预测厚度小于6m的单砂层或砂层组构成的储层。
Starting from analyzing the geologic and geophysical characteristics of targets in TBM area and taking 3-D seismic data as a foundation, the paper comprehensively uses qualitative reservoir prediction approaches (such as waveforms classification by manual method and neural network), and uses inversion and sensitive seismic attributes analysis to carry out analysis of spreading characters of sand body and prediction of high-productivity area of natural gas. 10 wells were arranged according to the studied results, among which the high-productivity gas stream has been got in 3 wells of 4-drilled wells (in which 36.8×104 cu m/d of natural gas has been produced in DK27well), it's worth to point out that the currently-used prediction method cannot predict the reservoirs consisted of single sand layer or sand layer set with thickness less than 6m.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2007年第1期94-97,共4页
Oil Geophysical Prospecting
关键词
储层预测
低孔渗储层
地震反射特征
波形分析
定性/定量预测方法
天然气高产区
reservoir prediction, reservoir with low porosity and permeability, seismic reflection feature, waveform analysis, qualitative/quantitative prediction method, high-productivity zone of natural gas