地热系统电磁成像技术研究进展

First EAGE/IGA/DGMK Joint Workshop on Deep Geothermal Energy Pub Date : 2018-11-08 DOI:10.3997/2214-4609.201802935

M. Darnet, C. Dezayes, J. Girard, J. Baltassat, F. Bretaudeau, T. Reuschlé, N. Coppo, J. Porté, Y. Lucas

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引用次数: 0

摘要

这项工作探索了使用反向时间迁移(RTM)和Kirchhoff迁移引擎在堆栈前和堆栈后域中计算点扩展函数(psf)的图像域最小二乘迁移的不同方法。我们还介绍了在巴西深水海上三维数据集中的两个应用。这两种策略都表明，即使在地质复杂的模型上，最小二乘迁移也能提高迁移幅度和分辨率。

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Advances On Electro-Magnetic Imaging for De-Risking Enhanced Geothermal Systems Prospects

This work explores different approaches for the image domain least-squares migration with Point Spread Functions (PSFs) computed in pre-stack and post-stack domain, using both Reverse Time Migration (RTM) and Kirchhoff migration engines. We also present two applications in 3D datasets of deepwater offshore of Brazil. Both strategies showed that least-squares migration provide an uplift in the migration amplitudes and resolution even on geologically complex models.

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First EAGE/IGA/DGMK Joint Workshop on Deep Geothermal Energy

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