Integrated Velocity Modeling by Water Table Imaging and Structural Smoothing in Yingxiongling, Qaidam Basin

Chenqing Tan, Yongsheng Wang, Yanming Tong, Rongsheng Ou, Chuan Wu, Yufei Yan, Changlei Zhao, Xiang Li, J. Cui, Yongcang Dong, Rong Li
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Abstract

The Yingxiongling structural belt is located in the south of world's highest-altitude petroliferous basin, Qaidam Basin. It is well known for the extremely complicated topography and subsurface structure. Accurate velocity modeling and depth imaging is extremely difficult, as well as exploration and production in this area. Building a reliable initial model that accounts for both near-surface and subsurface structures is crucial. We first generate a geologically-guided subsurface velocity model by structural smoothing of the pre-stack time migration (PSTM) velocity guided by dip field. Furthermore, we take the water table, a typical geological phenomenon in Qaidam basin, into account for near surface modeling. With information regarding a stable and smooth water table, we achieve an optimum image predicting the trap, thus supporting exploration and production in the area.
柴达木盆地英雄岭地下水位成像与构造平滑综合速度模拟
英雄岭构造带位于世界上海拔最高的含油气盆地柴达木盆地南部。它以极其复杂的地形和地下构造而闻名。准确的速度建模和深度成像对该地区的勘探和生产都是非常困难的。建立一个能够兼顾近地表和地下结构的可靠的初始模型至关重要。首先对倾角场引导下的叠前时间偏移(PSTM)速度进行结构平滑处理,建立地质导向的地下速度模型。此外,本文还考虑了柴达木盆地的地下水位这一典型地质现象,进行了近地表模拟。有了稳定平滑的地下水位信息,我们可以获得预测圈闭的最佳图像,从而支持该地区的勘探和生产。
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