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精确的连井对实际地震岩性解释非常重要。只要油藏附近的地质情况不是十分复杂,控制连井精度的主要因素就是地震资料的处理以及由测井资料建立地震模型。本文的实例研究说明了地震资料的近炮检距叠加处理,测井记录的质量控制和岩石物理模拟是如何改善油藏处的连井的,我们显示了建立地震模型前预测的岩石物理模型在测井记录的准备和集成中的应用,并对连井精度的提高进行了定量分析。 研究资料包括北海油田一条过井的3D航海线上的地震野外资料和一套标准测井资料。通过该井的一组全面处理过的数据可用于作比较。由第一次地震资料处理和常规编辑声波测井曲线得到的浅层剖面的连井非常好。而含有油藏的较深地层中的连井效果则差一些:地震子波带宽内的相位误差大约是20°,我们认为这对于后续的地震数据转换成地震阻抗来说太大了。地震数据的再处理和测井模型的修正使这些相位误差减小到10°以下,并提高了深层和浅层连井的一致性。再处理包括密集拾取迭代速度分析、叠前偏移、波束形成多次波衰减、近炮检距道叠加、近炮检距数据反偏移和再偏移。 岩石物理模型用来监测,并在需要的地方用与其它测井资料一致的预测代替P波声波测井,以及在含油气砂层中对声波测井记录作泥浆滤液侵入校正。这种P波传播时间的编辑和
Accurate wellbore interpretation is very important for actual seismic lithology. As long as the geological conditions in the vicinity of the reservoir are not very complicated, the main factors controlling the accuracy of the continuous well are the processing of seismic data and the establishment of seismic models from logging data. The case study in this paper shows how the near-offset stackup of seismic data, the quality control of logging records, and the petrophysical simulation can improve the well-connectivity at the reservoir. We show that the petrophysical model for the pre- Logging preparation and integration, as well as the quantitative analysis on the improvement of continuous well accuracy. The research data includes seismic data from a well overwhelming 3D navigation line in the North Sea oil field and a set of standard logging data. A comprehensive set of processed data through the well can be used for comparison. The well connected by the shallow section obtained from the first seismic data processing and the routine editing of acoustic logging curves is very good. The deeper wells that contain reservoirs, however, are less well connected: the phase error within the seismic wavelet bandwidth is about 20 °, which we think is too large for subsequent seismic data to be converted into seismic impedance. Reprocessing of the seismic data and modification of the log model reduced these phase errors below 10 ° and increased the consistency of deep and shallow wells. Reprocessing includes dense pick-up iterative velocity analysis, prestack migration, beamforming multiple attenuation, near-offset path stacking, near-offset data backoff and re-offset. Rock physics models are used to monitor and, where needed, replace P-wave sonic logs with predictions consistent with other well data and to correlate mud filtrate intrusion in sonic logs in oil-bearing sands. This P wave propagation time editor and