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首页> 外文期刊>Journal of Seismic Exploration >PLANE-WAVE LEAST-SQUARE REVERSE TIME MIGRATION WITH ENCODING STRATEGIES
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PLANE-WAVE LEAST-SQUARE REVERSE TIME MIGRATION WITH ENCODING STRATEGIES

机译：编码策略的平面波最小二乘法逆时偏移

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摘要

Plane-wave Least-Squares Reverse Time Migration (PLSRTM) delivers high resolution images with less computational cost compared with conventional Least-Squares Reverse Time Migration (LSRTM). But a great number of computational cost is still necessary to suppress migration artefacts. The study of plane-wave encoding strategy with better migration artefacts reduction may help to further improve the computational efficiency. In this paper, we present the theory and work flow of PLSRTM method; furthermore four different encoding strategies are applied to PLSRTM including static encoding, dynamic encoding, hybrid encoding and random dynamic encoding. Additionally, the illumination preconditioner and the mixed optimization method are introduced to accelerate the convergence rate. The numerical tests are implemented both on the synthetic data of Marmousi model and the 2D field data to compare the image quality and the computational cost of different encoding strategies. The results suggest that the static encoding method has a best imaging quality but highest computational cost while the improved encoding strategies have better computational efficiency which is suitable for the processing of mass data. Among them, PLSRTM with hybrid encoding has the advantage of less I/O cost and PLSRTM with random dynamic encoding shows better imaging quality and convergence with less iteration.
机译：与传统的最小二乘逆向时间偏移（LSRTM）相比，平面波最小二乘反向时间偏移（PLSRTM）以较低的计算成本提供了高分辨率的图像。但是，仍然需要大量的计算成本来抑制迁移伪像。对具有更好的迁移伪像的平面波编码策略的研究可能有助于进一步提高计算效率。本文介绍了PLSRTM方法的理论和工作流程。此外，四种不同的编码策略应用于PLSRTM，包括静态编码，动态编码，混合编码和随机动态编码。另外，引入光照预处理器和混合优化方法以加快收敛速度​​。在Marmousi模型的合成数据和2D场数据上均进行了数值测试，以比较不同编码策略的图像质量和计算成本。结果表明，静态编码方法具有最佳的成像质量，但计算成本最高，而改进的编码策略具有较好的计算效率，适合于海量数据的处理。其中，具有混合编码的PLSRTM具有较低的I / O成本的优势，具有随机动态编码的PLSRTM具有更好的成像质量和收敛性，且迭代次数较少。

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