首页> 外文期刊>Journal of Seismic Exploration >PORE PRESSURE PREDICTION USING 3D SEISMIC VELOCITY DATA: A CASE STUDY, A CARBONATE OIL FIELD, SW IRAN
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PORE PRESSURE PREDICTION USING 3D SEISMIC VELOCITY DATA: A CASE STUDY, A CARBONATE OIL FIELD, SW IRAN

机译:使用3D地震速度数据进行孔隙压力预测:案例研究,碳酸盐岩油田,伊朗西南

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Pore pressure is an important parameter in hydrocarbon resource exploration and production. Accurate knowledge of the pore pressure is a key requirement for safe and economical planning of wells. Knowledge of formation pressure is not only essential for safe and cost-effective drilling of wells, but also is critical for assessing exploration risk factors including the migration of formation fluids and seal integrity. Pore pressure prediction based on seismic velocity is a common method for pre-drill pore pressure prediction, especially in sandstone reservoirs. In this method, pore pressure can be obtained from transformation of seismic velocity to pore pressure. But seismic velocities need to be derived using methods having sufficient resolution for well planning purposes.rnIn this study, the velocity derived from pre-stack time migration (PSTM) was available in some parts of the field; however, in another part of the field the only available velocity field was the stacking velocity. This combined velocity field was calibrated with the velocities derived from sonic logs. They were then sorted on regular grid sizes using some geostatistical methods. The effective pressure cube was constructed using the Bowers equation and the calibrated velocity field. The pore pressure cube was constructed by computing the differences between the overburden pressure cube and the effective pressure cube, which was computed using the density cube. Finally the predicted pore pressure cube was calibrated with the measured pore pressures at the locations of 8 wells using geostatistical methods. In a large undeveloped oil field in southwest Iran, some carbonate formations encountered abnormal pressure zones. In the area of study, the combined velocity field was improved and calibrated; then, the pore pressure cube was generated accordingly. The predicted pressures show good agreement with the measured pressures at the 8 well locations.
机译:孔隙压力是油气资源开采和生产中的重要参数。准确了解孔隙压力是安全,经济地规划井的关键要求。对地层压力的了解不仅对于安全且经济高效的钻井至关重要,而且对于评估包括地层流体迁移和密封完整性在内的勘探风险因素也至关重要。基于地震速度的孔隙压力预测是钻前孔隙压力预测的常用方法,尤其是在砂岩储层中。在这种方法中,可以通过将地震速度转换为孔隙压力来获得孔隙压力。但是地震速度需要使用具有足够分辨率的方法来进行规划,以达到良好的规划目的。在这项研究中,在某些领域中可以使用叠前时间偏移(PSTM)推导的速度。但是,在场的另一部分中,唯一可用的速度场是堆积速度。用从声波测井得到的速度来校准该组合速度场。然后使用一些地统计方法将它们按规则的网格大小排序。使用Bowers方程和校准的速度场构造有效压力立方体。孔隙压力立方是通过计算上覆压力立方和有效压力立方之间的差异来构造的,该差异是使用密度立方计算的。最后,使用地统计方法,用测得的8口井的孔隙压力对预测的孔隙压力立方进行了校准。在伊朗西南部一个未开发的大型油田中,一些碳酸盐岩地层遇到异常压力带。在研究领域,对联合速度场进行了改进和校准。然后,相应地生成了孔隙压力立方。预测压力与8个井位的实测压力显示出良好的一致性。

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