摘要
随着石油勘探开发的不断深入,油气勘探目标以构造勘探为主逐渐转入以岩性勘探为主。岩性圈闭的勘探难度比较大,对于地震数据的分辨率提出了更高的要求。反褶积是地震资料处理中提高分辨率的主要手段,是处理环节必不可少而又相当重要的一个步骤。常规的反褶积方法是有很多的局限性的。反Q滤波是基于某种模型的确定性时变反褶积方法。在解剖引进的相应模块的基础上提出了一种改进的自适应时变预测反褶积方法,用理论记录验证了本方法的有效性,并在一些地区的实际地震数据上做了实验,见到了较好的处理效果。作为一项实用技术要综合考虑效果与效率,实用中如果需要可以串联迭代。
With the deepening of petroleum exploration and development,oil and gas exploration targets are mainly based on structural exploration and gradually transferred to lithologic exploration.The exploration of lithologic traps is rather difficult,which requires higher resolution of seismic data.Deconvolution is the main means to improve resolution in seismic data processing.It is a necessary and important step in processing.The conventional deconvolution method has many limitations.Inverse Q filtering is a deterministic time-varying deconvolution method based on a certain model.An improved adaptive time-varying prediction deconvolution method is proposed on the basis of the corresponding modules introduced in the anatomy.The validity of this method is verified by theoretical records,and experiments on actual seismic data in some areas have been done,and good treatment results have been seen.As a practical technology,the effect and efficiency should be considered synthetically.
作者
王再菲
Wang Zaifei(Chongqing University of Science and Technology,Chongqing 401331)
出处
《石化技术》
CAS
2023年第12期45-46,120,共3页
Petrochemical Industry Technology
关键词
自适应
时变子波
衰减因子
反褶积
Adaptive
Time-varying wavelet
Attenuation factor
Deconvolution
