摘要
近年来,地震油气储层预测新技术不断涌现和发展,地震波形分类技术就是其中之一,该技术的基础是当沉积相单元发生变化时其地震反射特征(包括振幅、频率、相位、积分能谱、时频能量等)也必定有所变化,利用神经网络技术把地震信号的总体变化定量地刻画出来即对波形进行分类,形成地震波形异常即地震相图。本文简要地介绍了这一方法的基本原理,一般流程及关键参数等技术环节。在分析某油田河道砂体测井和地震响应特征的基础上,应用这一技术对该油田主要目的层段河道进行了准确预测,确定了主河道的平面展布范围,为钻探部署提供了决策依据。
In the process of subtle reservoir exploration, it is essential to use various seismic characters to predict oil and gas reservoir and to diagnosis oil bearing character so as to enhance success ratio in exploration. In recent years, with appearance and development of the new seismic reservoir prediction techniques, seismic waveform classification is among these techniques. The base of this technique is： with change of geological body, the seismic reflection characters（such as amplititude, frequency, and phase） will be changed too. By using nerve network algorithm, the whole response of seismic signal is identified in quantificationally; the seismic waveform is classified; and the anomaly map or phase diagram of seismic waveform will he formed. The technology indexes such as basic theory, general program, and key parameters are introduced in this seismic waveform characteristics, the main stratum of paper. On the basis of analysis on prediction of channel and channel is forecasted to confirm the distribution and provide the evidences for drilling disposition.
出处
《资源与产业》
2006年第2期71-74,共4页
Resources & Industries
关键词
地震相
储层预测
地震波形分类
河道
seismic facies
reservoir prediction
waveform classification
channel
