Multi-well wavelet-synchronized inversion based on particle swarm optimization  

基于粒子群优化算法的多井子波同步反演方法

作　　者：Yuan Huan Yuan San-Yi Su Qin Wang Hong-Qiu Zeng Hua-Hui Yue Shi-Jun 袁焕;袁三一;苏勤;王洪求;曾华会;岳世俊(中国石油大学(北京)地球物理学院,北京102249;中国石油天然气股份有限公司勘探开发研究院西北分院,甘肃兰州730000)

机构地区：[1]College of Geophysics,China University of Petroleum(Beijing),Beijing 102249,China [2]Research Institute of Petroleum Exploration and Development-Northwest,Petrochina,Lanzhou,730020,China.

出　　处：《Applied Geophysics》2024年第4期728-739,879,880,共14页应用地球物理（英文版）

摘　　要：Wavelet estimation is an important part of high-resolution seismic data processing.However,itis difficult to preserve the lateral continuity of geological structures and eff ectively recover weak geologicalbodies using conventional deterministic wavelet inversion methods,which are based on the joint inversionof wells with seismic data.In this study,starting from a single well,on the basis of the theory of single-welland multi-trace convolution,we propose a steady-state seismic wavelet extraction method for synchronizedinversion using spatial multi-well and multi-well-side seismic data.The proposed method uses a spatiallyvariable weighting function and wavelet invariant constraint conditions with particle swarm optimization toextract the optimal spatial seismic wavelet from multi-well and multi-well-side seismic data to improve thespatial adaptability of the extracted wavelet and inversion stability.The simulated data demonstrate that thewavelet extracted using the proposed method is very stable and accurate.Even at a low signal-to-noise ratio,the proposed method can extract satisfactory seismic wavelets that refl ect lateral changes in structures andweak eff ective geological bodies.The processing results for the field data show that the deconvolution resultsimprove the vertical resolution and distinguish between weak oil and water thin layers and that the horizontaldistribution characteristics are consistent with the log response characteristics.子波估算是地震资料高分辨率处理的一个重要部分,但是传统的基于井、震结合的确定性子波反演方法,其反褶积结果难以保持地质构造的横向连续性,也难以有效恢复弱地质体。本文从单井出发,基于单井多道褶积理论,提出了一种空间多井、多井旁地震道联合的稳态地震子波同步反演方法。该方法以空变的加权函数和子波不变的约束条件,利用粒子群优化算法从多井及井旁地震数据中提取最优的空间稳态地震子波,从而增强了子波的空间适应性和反演的稳定性。模拟数据表明,该方法算法稳定,子波估算准确,即使信噪比较低,仍然能提取反映构造横向变化和弱有效地质体的地震子波。实际资料处理结果表明,通过本方法提取的地震子波反褶积后的地震数据不仅纵向分辨率得到明显提高,弱的油、水薄层得以分辨,而且横向分布特征与井的实际情况更加吻合。

关 键 词：particle swarm optimization synchronized inversion wavelet estimation spatial adaptability weak eff ective signal 

分 类 号：P631.44[天文地球—地质矿产勘探]