Abstract In recent years, many important discoveries have been made in the marine deepwater exploration in the South China Sea, which confirms the abundant natural gas resources in this area. However, the prediction of deepwater reservoirs is very challenging because of the complex depositional system and the low exploration level with sparse wells in deepwater areas. To reduce the exploration risks, we develop an integrated prediction strategy for the deepwater gas reservoirs using the Bayesian adaptive seismic inversion and the frequency-dependent fluid mobility attribute. In the seismic inversion, an automatically adjusted prior stabilizer is derived to balance between the vertical resolution and the inversion stability according to the noise level, and the trace-by-trace recursive inversion process, using the inversion result of the previous adjacent trace as the initial model for the next, is adopted to ensure the lateral continuity. In the gas detection, the fluid mobility attribute is calculated by the high precision matching pursuit algorithm to directly indicate the gas reservoirs, with no need to use the well-log or horizon data. We then combine the stratigraphic seismic inversion result with the gas indication fluid mobility attribute to comprehensively predict both the distribution and thickness of gas reservoirs. Synthetic data tests on a well model and a designed seismic signal verify the performances of the seismic inversion and the matching pursuit algorithm. The real data fluid mobility attribute gas detection results of two borehole-side seismic traces show good consistency with the well log interpretation results. Finally, the feasibility of the proposed integrated prediction method is demonstrated by a deepwater application in the South China Sea.

中文翻译：

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基于贝叶斯地震反演和流体流动属性的南海深水气藏综合预测

摘要 近年来，南海海洋深水勘探取得多项重要发现，证实该区天然气资源丰富。但由于深水区沉积体系复杂，勘探程度低，井少，深水储层预测极具挑战性。为了降低勘探风险，我们使用贝叶斯自适应地震反演和频率相关的流体流动性属性开发了深水气藏的综合预测策略。在地震反演中，根据噪声水平推导出自动调整的先验稳定器来平衡垂直分辨率和反演稳定性，逐道递归反演过程，采用上一条相邻道的反演结果作为下一条的初始模型，保证横向连续性。在气体检测中，通过高精度匹配追踪算法计算流体流度属性，直接指示气藏，无需使用测井或层位数据。然后结合地层地震反演结果和气体指示流体流动性属性，综合预测气藏的分布和厚度。井模型和设计地震信号的合成数据测试验证了地震反演和匹配追踪算法的性能。两条钻孔侧地震道的真实数据流体流动性属性气体检测结果与测井解释结果具有良好的一致性。最后，