Alternative 3D Tomography Methods and Their Applications to Identify Seismic Structure Around the Hydrothermal Gas Field

Smaglichenko Tatyana, Jacoby Wolfgang, Smaglichenko Alexander
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Abstract

The use of 3D tomography methods helps to the better understanding of complex structures peculiar to elements of a large-scale system, for instance, to buildings, engineering constructions, hydroelectric power plants, mines ets. Seismic tomography is important tool that the oil and gas industry applies to map the sub-surface geological structures. The LSQR algorithm by Paige and Saunders is the well-known conjugate gradient solver for the inversion tomography problem. Nevertheless, previous studies have shown that the algorithm has limitation in reconstruction of synthetic models of the large-size structure. Here two alternatives are given to resolve the complex structure: a new algorithm of the method of coordinate descent and the modification of Gaussian elimination. Both of these methods aim at constructing of the solution, which might be free from influence of determined types of error in the data. A structure with certain similar properties has been revealed for the layer from 0 to 5 km of depth by applying both methods to seismic data collected in the area around the hydrothermal gas field However, for the deeper layer the modification of Gaussian elimination produces the structure that is more realistic compared the method of coordinate descent. The reason might be in more accurate determination of the location of those seismic sources that are close to a surface. We conclude that simultaneous application of different inversion methods is useful in the presence of unclear level of errors in the data. Tomography images presented here for the area of natural concentration of gases can be applied for understanding of conditions to keep underground gases in a safe area.
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热液气田周围地震构造识别的三维层析成像方法及其应用
3D断层扫描方法的使用有助于更好地理解大型系统中特定元素的复杂结构,例如建筑物,工程建设,水力发电厂,矿山等。地震层析成像是油气工业应用于地下地质构造测绘的重要工具。Paige和Saunders提出的LSQR算法是求解反演层析问题的著名共轭梯度求解器。然而,以往的研究表明,该算法在重建大尺寸结构的综合模型方面存在局限性。本文给出了两种解决复杂结构的方法:一种新的坐标下降法算法和高斯消去法的修正。这两种方法都旨在构造不受数据中确定的误差类型影响的解。将这两种方法应用于热液气田周围地区的地震资料,在深度0 ~ 5 km处发现了具有一定相似性质的构造,但对于较深的层,修正高斯消去法得到的构造比坐标下降法更真实。原因可能是更准确地确定那些靠近地表的震源的位置。我们得出结论,在数据中存在不明确的误差水平时,同时应用不同的反演方法是有用的。这里提供的气体自然浓度区域的断层摄影图像可用于了解将地下气体保持在安全区域的条件。
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