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首页> 外文会议>SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition >Improving Reservoir Heterogeneity Prediction and Well Placement by Interim Seismic Acoustic Impedance Inversion
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Improving Reservoir Heterogeneity Prediction and Well Placement by Interim Seismic Acoustic Impedance Inversion

机译：通过临时地震声阻抗反转改善水库异质性预测及井放置

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Improving seismic data quality prior to acoustic impedance (AI) inversion is one of the main challenges for interpreters. Proper reprocessing of seismic data may attenuate most of the noise and multiples but it can be costly and time-consuming. Therefore, while data reprocessing is in-progress, an interim solution is implemented to enhance 3D seismic quality. The solution was an effective data conditioning workflow that significantly improved seismic quality for satisfactory inversion results. Having achieved acceptable seismic data quality, we inverted the seismic volume to estimate acoustic impedance. A seismic porosity model is transformed from this acoustic impedance and used for reservoir heterogeneity prediction and well placement. The analysis indicates that the wavelet equalization is a very useful tool for stabilizing the wavelet phase and amplitude spectrum in the study area. To ensure stability of the seismic wavelet at well locations, wavelet extraction is performed before and after wavelet equalization. The structural and stratigraphic interpretation is significantly improved by inverting the conditioned seismic data to relative acoustic impedance (RAI). The acoustic impedance estimates is validated by comparing them with well log values. This validation is essential to quantify the depth conversion and to provide optimum guidelines for drilling/geo-steering. Therefore, the final acoustic impedance inversion is showed good correlation with well log data. The inversion results are successfully used to position new horizontal wells in the study area. Our experience revealed the importance of acoustic impedance inversion in guiding geo-steering wells, particularly in heterogeneous reservoirs. However, the limitation of vertical seismic resolution remains the main challenge. The study provides best practice of seismic data optimization by stabilizing wavelet phase before inversion. Ultimately this improved our ability to position horizontal wells in heterogeneous reservoirs.
机译：在声阻抗之前提高地震数据质量（AI）反转是口译员的主要挑战之一。适当的地震数据再处理可以衰减大部分噪声和倍数，但它可能是昂贵且耗时的。因此，虽然数据再处理正在进行中，实施临时解决方案以增强3D地震质量。该解决方案是有效的数据调节工作流程，可显着提高地震质量以满足令人满意的反演结果。实现了可接受的地震数据质量，我们倒置了地震体积来估计声阻抗。地震孔隙率模型从该声阻抗转化，并用于储层异质性预测和井放置。分析表明小波均衡是用于稳定研究区域中的小波相和幅度谱的非常有用的工具。为了确保井位置处的地震小波的稳定性，小波均衡前后进行小波提取。通过将条件的地震数据反转到相对声阻抗（RAI），可以显着改善结构和地层解释。通过将它们与井日志值进行比较来验证声阻抗估计。该验证对于量化深度转换至关重要，并为钻孔/地理转向提供最佳准则。因此，最终的声阻抗反转与井日志数据显示出良好的相关性。反转结果已成功地用于在研究区域中定位新的水平井。我们的经验揭示了声阻抗反演在引导地理转向井中的重要性，特别是在异构储层中。然而，垂直地震分辨率的限制仍然是主要挑战。该研究通过在反转前稳定小波阶段提供了地震数据优化的最佳实践。最终，这种改善了我们在异构水库中定位水平井的能力。

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