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针对印度扇近海盆地海域井资料匮乏，难以构建反演初始模型的问题，本文提出了基于频率域协模拟的少井区相控地震反演方法。首先，利用研究区与邻近探区的测井资料统计不同层段的弹性参数分布特征，构建相约束离散模型，并将其与地震90°相移属性相结合，构建虚拟井曲线；然后，将虚拟井曲线作为硬数据，地震相解释成果作为软数据，通过一种新的频率域协模拟方法构建相控初始模型；最后根据相控初始模型建立目标函数，通过叠前弹性阻抗反演预测生物礁储层。实际工区应用结果表明，基于频率域协模拟方法构建的反演初始模型包含更加丰富的信息，基于该初始模型的反演结果成功预测出了生物礁优势储层，证明该方法的有效性和可靠性。与传统确定性反演方法相比，该反演方法在少井区储层预测中更有优势。
Abstract：A frequency domain co simulation based phased seismic inversion method for areas with few wells is proposed to address the problem of insufficient well data and difficulty in constructing an initial inversion model in the Indian fan offshore basin. The elastic parameter distribution characteristics of different intervals are statistically analyzed using well logging data from the research area and adjacent exploration areas. A quasi bundle discrete model is constructed and combined with the seismic 90° phase shift attribute to create a virtual well curve. Using virtual well curves as hard data and seismic facies interpretation results as soft data, a new frequency domain co simulation method is used to construct a phased initial model. Based on the phase controlled initial model, an objective function is established to predict the biogenic reef reservoir through pre stack elastic impedance inversion. The actual application results in the work area show that the inversion initial model constructed based on frequency domain co-simulation method contains richer information. The inversion results based on this initial model successfully predict the dominant reservoirs of the reef, proving the effectiveness and reliability of this method. Compared with traditional deterministic inversion methods, this inversion method has more advantages in reservoir prediction in areas with few wells.
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基本信息:
DOI：10.16441/j.cnki.hdxb.20250052
中图分类号:P618.13;P631.4
引用信息:
[1]何晨曦,梁杰,赵晨,等.基于频率域协模拟的少井区相控地震反演方法——以印度扇近海盆地生物礁储层为例[J].中国海洋大学学报(自然科学版),2026,56(03):128-138.DOI:10.16441/j.cnki.hdxb.20250052.
基金信息:
国家海洋专项项目(DD20160215,DD20191003,DD20191032,DD20190581,DD20211353); 亚洲合作基金项目; 国家自然科学基金项目(42376060); 山东省自然科学基金项目(ZR2023MD050); 深层油气全国重点实验室开放基金项目(SKLDOG2024-KFYB-06)资助~~
2026-02-10
2026-02-10