Abstract:As an effective method to apply surface seismic data to development seismology, logging-while-drilling (LMD) processing plays an important role in avoiding drilling risk and improving the drilling success rate. The core problem is how to use the measured data while drilling to improve the accuracy of the surface seismic velocity model and further promote the accuracy of seismic data imaging and guide the adjustment of drilling trajectories. Therefore, this paper proposed the correction method for the well-driven seismic velocity model. Specifically, given the traditional pre-stack depth migration velocity model, we presume the velocity and depth information of the drilled formations while drilling as constraints and rapidly correct the existing seismic velocity model combined with the logging and VSP data of drilled wells in the surrounding area. In this way, more accurate seismic underground imaging can be obtained, and the geological description and prediction of the undrilled formations can be realized to improve the drilling success rate. Oilfield examples show that this method shortens the update and iteration time of the velocity model and can meet the accuracy and timeliness requirements of LWD processing. The proposed method plays an important role in improving the accuracy of real-time pre-drilling prediction while drilling.
孙甲庆, 徐兴荣, 寇龙江, 王靖, 刘金涛, 李慧珍. 井驱地震速度模型修正技术及其在随钻驱动处理中的应用[J]. 石油地球物理勘探, 2021, 56(6): 1279-1285.
SUN Jiaqing, XU Xingrong, KOU Longjiang, WANG Jing, LIU Jintao, LI Huizhen. Correction method for well-driven seismic velocity model and its application in LWD processing. Oil Geophysical Prospecting, 2021, 56(6): 1279-1285.
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