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Microseismic reverse time migration with a multi-cross-correlation staining algorithm for fracture imaging

机译:微震反向时间迁移与裂缝成像的多递交染色算法

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Accurate characterization of hydraulic fracturing zones is currently becoming increasingly important in production optimization, since hydraulic fracturing may increase the porosity and permeability of the reservoir significantly. Recently, the feasibility of the reverse time migration (RTM) method has been studied for the application in imaging fractures during borehole microseismic monitoring. However, strong low-frequency migration noise, poorly illuminated areas, and the low signal to noise ratio (SNR) data can degrade the imaging results. To improve the quality of the images, we propose a multi-cross-correlation staining algorithm to incorporate into the microseismic reverse time migration for imaging fractures using scattered data. Under the modified RTM method, our results are revealed in two images: one is the improved RTM image using the multi-cross-correlation condition, and the other is an image of the target region using the generalized staining algorithm. The numerical examples show that, compared with the conventional RTM, our method can significantly improve the spatial resolution of images, especially for the image of target region. (C) 2018 Elsevier B.V. All rights reserved.
机译:液压压裂区的精确表征目前在生产优化方面越来越重要,因为水力压裂可能会显着增加储层的孔隙率和渗透性。最近,已经研究了反向时间迁移(RTM)方法的可行性,用于在钻孔微震监测期间的成像裂缝中的应用。然而,强的低频迁移噪声,亮起不良区域,以及低信噪比(SNR)数据可能会降低成像结果。为了提高图像的质量,我们提出了一种多递交染色算法,将用于使用散射数据的成像骨折的微震反向时间迁移。在修改的RTM方法下,我们的结果在两个图像中被揭示:一个是使用多交叉相关条件的改进的RTM图像,另一个是使用广义染色算法的目标区域的图像。数值示例表明,与传统的RTM相比,我们的方法可以显着提高图像的空间分辨率,特别是对于目标区域的图像。 (c)2018 Elsevier B.v.保留所有权利。

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