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    地质体可识别影响因素研究及应用

    Research on influencing factors of geobody identifiability and its application

    • 摘要: 鄂尔多斯盆地长73段纹层型页岩油主要赋存于烃源岩底部多岩性复合地层中,该地层厚度5~20 m,由页岩、凝灰岩、粉砂质泥岩及少量细砂岩呈纹层状叠置构成,储层以厘米级厚度的凝灰岩与粉砂质泥岩为主。因地层厚度未达λ/4且储层与围岩地球物理性质差异微弱,其地震反射信号淹没于页岩强反射中,缺乏独立响应,常规地震反演方法难以预测。针对上述问题,提出了“地震地质体识别度”概念,即地质体存在时对所在地震反射同相轴波形产生的可量化改变程度,其大小与地质体—围岩地球物理属性差、规模、结构及地震资料品质相关。该概念突破λ/4分辨率限制,为识别更小尺度地质体提供理论支撑。基于页岩反射同相轴“上凸”及下伏波谷加宽特征,构建波谷加宽量与储层厚度的关系模型,成功预测4 m以上页岩油储层。经145口验证井证实,预测精度达85.5%。该方法实现了对无独立地震响应且淹没于强反射中储层的精准预测,为非常规油气藏勘探提供新思路。

       

      Abstract: Laminated shale oil in the Chang 73 Member of the Ordos Basin mainly occurs in the multi-lithologic composite strata at the bottom of the source rock, with a stratigraphic thickness of 5-20 m. These strata are composed of shale, tuff, silty mudstone and minor fine sandstone stacked in a laminated pattern, and the reservoirs are dominated by centimeter-thick tuff and silty mudstone. Since the stratigraphic thickness is below the λ/4 resolution limit and the geophysical property contrast between the reservoirs and surrounding rocks is faint, the seismic reflection signals of the reservoirs are submerged in the strong shale reflections without independent seismic responses, rendering them unpredictable by conventional seismic inversion methods. To tackle this issue, the concept of seismic geobody identifiability is proposed, referring to the quantifiable degree to which a geobody modifies the waveform of the seismic reflection event enclosing it when the geobody exists. Its value is correlated with the geophysical property contrast between the geobody and surrounding rocks, geobody scale and structure, as well as seismic data quality. This concept breaks through the λ/4 resolution restriction, providing a theoretical support for identifying smaller-scale geobodies. On the basis of the "upward convex" feature of the shale reflection event and the widening of the underlying seismic trough, a correlation model between trough widening magnitude and reservoir thickness is constructed, which successfully predicts shale oil reservoirs thicker than 4 m. Verified by 145 calibration wells, the prediction accuracy reaches 85.5%. This method enables accurate prediction of reservoirs with no independent seismic responses hidden in strong seismic reflections, providing a new idea for the exploration of unconventional oil and gas reservoirs.

       

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