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Double-difference waveform inversion of 4D ocean bottom cable data: Application to Valhall, North Sea

机译:4D海底电缆数据的双差波形反演:应用于北海的Valhall

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摘要

Changes in reservoir properties resulting from extracting hydrocarbons and injecting fluid are critical to optimize production. These properties can be characterized using waveform inversions of time-lapse seismic data. The conventional approach for analysis using waveform tomography is to take the difference of seismic inversion obtained using baseline and subsequent time-lapse datasets that are imaged independently. By contrast, double-difference waveform inversion (DDWI) jointly inverts time-lapse seismic datasets for reservoir changes. We use a 2D synthetic example to demonstrate the advantage of DDWI in mitigating spurious estimates of property changes. We then apply both conventional full waveform inversion(FWI) and DDWI to time-lapse datasets collected by ocean bottom cables (OBC) in the Valhall field in the North Sea. The data sets are acquired one year apart. DDWI gives a cleaner and more easily interpreted image of the model changes, as compared to that obtained with the conventional FWI scheme.
机译:开采碳氢化合物和注入流体导致储层性质的变化对于优化产量至关重要。可以使用延时地震数据的波形反演来表征这些属性。使用波形层析成像进行分析的常规方法是采用使用独立成像的基准线和后续延时数据集获得的地震反演差异。相比之下,双差波形反演(DDWI)联合反演时移地震数据集以进行储层变化。我们使用一个2D综合示例来演示DDWI在减轻属性变化的虚假估计中的优势。然后,我们将常规的全波形反演(FWI)和DDWI应用于北海Valhall油田海底电缆(OBC)收集的延时数据集。数据集间隔一年获取。与传统FWI方案相比,DDWI提供了更清晰,更容易解释的模型变化图像。

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