王保全,王志萍,于喜通,等. 基于高频层序格架的储层定量预测技术在砂体刻画中的应用[J]. 海洋地质前沿,2022,38(9):78-85. DOI: 10.16028/j.1009-2722.2021.221
    引用本文: 王保全,王志萍,于喜通,等. 基于高频层序格架的储层定量预测技术在砂体刻画中的应用[J]. 海洋地质前沿,2022,38(9):78-85. DOI: 10.16028/j.1009-2722.2021.221
    WANG Baoquan, WANG Zhiping, YU Xitong, et al. Application of quantitative reservoir prediction technology based on high frequency sequence framework in sand body[J]. Marine Geology Frontiers, 2022, 38(9): 78-85. DOI: 10.16028/j.1009-2722.2021.221
    Citation: WANG Baoquan, WANG Zhiping, YU Xitong, et al. Application of quantitative reservoir prediction technology based on high frequency sequence framework in sand body[J]. Marine Geology Frontiers, 2022, 38(9): 78-85. DOI: 10.16028/j.1009-2722.2021.221

    基于高频层序格架的储层定量预测技术在砂体刻画中的应用

    Application of quantitative reservoir prediction technology based on high frequency sequence framework in sand body

    • 摘要: 新近系浅水三角洲油气藏勘探在渤海海域油气藏勘探中占据重要地位。以渤南地区新近系明化镇组下段浅水三角洲为例,通过钻井、测井、岩芯以及地震资料综合分析,共划分了17个准层序组,并建立了高频层序地层格架,选取典型岩相提取合适参数,进行地震正演模拟建立均方根振幅与含砂率的定量关系,最终基于地震沉积学方法以砂岩百分含量与振幅的定量关系为线索进行砂岩定量化预测。结果表明,含砂率与振幅具有明显的正相关关系,采用三维地震数据振幅定量岩性解释具有较高的可靠性。利用含砂率与模型振幅的定量关系,将均方根振幅转换为含砂率值后,可以预测研究区高频层序下的含砂率分布,为沉积地貌和沉积学解释提供了更加直观的证据。该研究思路和技术方法在浅水三角洲储层研究中可以进行推广和应用。

       

      Abstract: Exploration of the Neogene shallow-water delta plays an important role in the exploration of oil and gas reservoirs in Bohai Sea. The shallow-water delta of the lower member of Neogene Minghuazhen Formation in Bonan area was studied, from which 17 paresequencce sets were recognized based on the comprehensive analysis of drilling, logging, cores, and seismic data; and a high-frequency sequence stratigraphic framework was established. Typical lithofacies were selected to extract appropriate parameters, and seismic forward modeling was conducted to establish the quantitative relationship between amplitude and sand content. Finally, based on the seismic sedimentology method, the quantitative prediction of sandstone was carried out based on the quantitative relationship between sandstone percentage and amplitude. Results revealed an obvious positive correlation between sand content and amplitude, and it has high reliability for quantitative lithology interpretation using amplitude of 3D seismic data. By using the quantitative relationship between sand content and model amplitude, the distribution of sand content under high frequency sequences in the study area can be predicted by converting root mean square amplitude into sand content value, which provides more intuitive evidence for sedimentary geomorphology and sedimentology interpretation. This research idea and technique can be extended and applied to shallow-water delta reservoir exploration.

       

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