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Fast 3D elastic micro-seismic source location using new GPU features

机译:利用新的GPU功能快速进行3D弹性微震震源定位

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摘要

In this paper, we describe new GPU features and their applications in passive seismic micro-seismic location. Locating micro-seismic events is quite important in seismic exploration, especially when searching for unconventional oil and gas resources. Different from the traditional ray-based methods, the wave equation method, such as the method we use in our paper, has a remarkable advantage in adapting to low signal-to-noise ratio conditions and does not need a person to select the data. However, because it has a conspicuous deficiency due to its computation cost, these methods are not widely used in industrial fields. To make the method useful, we implement imaging-like wave equation micro-seismic location in a 3D elastic media and use GPU to accelerate our algorithm. We also introduce some new GPU features into the implementation to solve the data transfer and GPU utilization problems. Numerical and field data experiments show that our method can achieve a more than 30% performance improvement in GPU implementation just by using these new features. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本文中,我们描述了GPU的新功能及其在被动地震微震定位中的应用。在地震勘探中,定位微地震事件非常重要,尤其是在寻找非常规油气资源时。与传统的基于射线的方法不同,波动方程方法(例如我们在本文中使用的方法)在适应低信噪比条件下具有显着的优势,并且无需人工选择数据。然而,由于由于其计算成本而具有明显的缺陷,因此这些方法没有在工业领域中广泛使用。为了使该方法有用,我们在3D弹性介质中实现了类似成像的波动方程微震定位,并使用GPU加速了我们的算法。我们还将一些新的GPU功能引入实现中,以解决数据传输和GPU利用率问题。数值和现场数据实验表明,仅使用这些新功能,我们的方法就可以在GPU实施中实现30%以上的性能提升。 (C)2016 Elsevier B.V.保留所有权利。

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