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- W2896954319 abstract "Summary The framework of reservoir modelling is the information and understanding derived from the 3D seismic data covering the area of interest. Uncertainties associated with the underlying seismic data potentially lead to the inability to draw clear conclusions as to the size and productivity of the reservoir. In the presence of low saturation gas bodies in the overburden sediments, the loss of signal strength, frequency bandwidth and the complex wave kinematics compound the challenge. We present a case study from a challenging deep-water oil field in southeast Asia. The project comprised of acquisition, processing, interpretation and QI groups working as an integrated team to meet the objectives of the project. The project utilized a multifaceted approach of combining ocean bottom node seismic data, optimizing preprocessing, building a high-resolution earth model, and using high-end imaging techniques, to significantly improve the overall quality of the seismic data beneath the large bodies of gas hydrates, clouds and free gas. The new data allows improved structural and stratigraphic interpretation providing a better understanding of the reservoir model and reducing the uncertainty related to the reservoir volume, connectivity and compartmentalization, thereby contributing significantly to the geological understanding of the field and influencing the future development decisions." @default.
- W2896954319 created "2018-10-26" @default.
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- W2896954319 date "2018-06-11" @default.
- W2896954319 modified "2023-09-23" @default.
- W2896954319 title "Uncovering the Missing Data in the Gas Cloud with P-P Wave Imaging – a Deep Water OBN Survey from Southeast Asia Region" @default.
- W2896954319 doi "https://doi.org/10.3997/2214-4609.201801004" @default.
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