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Optimization of Near-Surface Effects Correction and Velocity Modeling Using Adaptive Filtering of Structural Surfaces

机译:结构表面自适应滤波的优化近表面效应校正和速度建模

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The northern part of West Siberia region is notable for rapid lateral changes in seismic velocities caused by permafrost layer variations, gas deposits and overpressure zones, which ultimately distort the structural image. To increase the accuracy of depth imaging, development and implementation of new approaches, adjusted to the surface and subsurface conditions of the region, is required. This study describes the theory of optimization of velocity model construction methodology in the case of near-surface effects and the practical realization of the adaptive filtration of upper basic horizon method, which involves the use of smoothing filter with laterally variable radius. The radius is determined on the basis of best convergence with well data. The application of the method increased the accuracy of structural imaging by more than 25%.
机译:西西伯利亚地区的北部是由永久冻土层变化,气体沉积物和超压区引起的地震速度的快速横向变化值得注意,这最终扭曲了结构形象。为了提高深度成像的准确性,需要调整到区域的表面和地下条件的新方法的开发和实施。本研究描述了在近表面效应的情况下的速度模型施工方法的优化理论和上基础地平线的自适应过滤的实际实现,这涉及使用横向可变半径的平滑过滤器。基于具有井数据的最佳收敛来确定半径。该方法的应用增加了结构成像的精度超过25%。

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