Abstract：The terrain of the mountainous exploration areas in Sichuan Province is usually complex. Specifically, affected by multi-stage and multi-group tectonic movements, the undulating surface varies rapidly, with large relative relieves. The near-surface low-velocity and sub-weathered zones are structurally complex, and high-velocity rock strata outcrop to the surface in certain regions. The underground structures are also complex with salient anisotropy. For the above reason, this paper discusses the seismic data processing for tracking while drilling of horizontal wells in the shale gas exploration and development area as an example in Changning. The prestack depth imaging of the seismic data on the “dual complexities” of complex surface and complex underground structures is investigated. Isotropic fine velocity modeling on the “true” surface and layer-by-layer tilted transversely isotropic (TTI) anisotropic velocity modeling for near-surface velocities are integrated. During tracking while drilling, the mode of rolling well platform processing is adopted. The procedure is mainly seismic data-driven, but information on drilled wells is used as constraints in a timely manner. Moreover, comprehensive geologi-cal factor analysis featuring seismic-geological integration from multiple perspectives is conducted to guide velocity model modification. As a result, the accuracy of the velocity model is enhanced, and the non-uniqueness of velocities in the depth domain is reduced. Furthermore, the imaging of complex structures is more consistent with the real underground stratigraphic occurrence. The proposed method meets the requirements of tracking while drilling on the accuracy of stratigraphic occurrence prediction of horizontal sections and the timeliness of data processing.
文冉, 樊骐铖, 衡德, 张婧, 高芬. 长宁页岩气开发随钻跟踪叠前深度偏移建模方法及应用效果[J]. 石油地球物理勘探, 2022, 57(s2): 46-52,69.
WEN Ran, FAN Qicheng, HENG De, ZHANG Jing, GAO Fen. Modeling method for prestack depth migration and tracking while drilling in shale gas development and its application effect in Changning. Oil Geophysical Prospecting, 2022, 57(s2): 46-52,69.
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