基于多尺度随机建模的潜山裂缝储层预测技术
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P631

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国家科技重大专项 “渤海湾盆地精细勘探关键技术(三期)”(2016ZX05006)


Prediction technology of buried hill fractured reservoirbased on multi-scale stochastic modeling
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    摘要:

    摘要:桩海潜山演化历史长、地层结构破碎、埋藏深,加之碳酸盐岩裂缝型储层自身的特点,岩石物理性质呈跳跃性变化,储集体形态变化也较剧烈,地震以杂乱发射为主,有效储层预测难度大。本文在混合型自相关函数的基础上,通过引入方向因子发展成新的矢量自相关函数,使产生的随机介质具有一定的方向性,在此基础上采用阈值截取法,通过给定缝洞发育的长、短半轴及局部发育密度构造具有不同统计特征的缝洞介质模型,实现了对不同尺度、发育密度、发育角度及不同充填速度的复杂缝洞的有效描述。结合研究区实际钻井、地震资料及测井解释结果,建立了符合研究区实际地层结构的叠加型双孔介质模型,采用非均匀介质地震波场正演模拟技术,研究了不同参数情况下潜山储层的地震响应特征。正演模拟结果表明,研究区下古生界裂缝储层发育尺度越大、发育密度越高、充填速度及发育角度越小,对应地震剖面上异强反射能量越强,从而为潜山裂缝储层的波场特征识别及预测提供了依据。在此基础上,融合研究区裂缝储层敏感的倾角及能量类属性,有效的预测了桩海潜山下古生界裂缝储层的平面分布特征,为下一步研究区潜山油气的勘探提供了技术支撑。

    Abstract:

    Abstract: The buried hills have the long evolution history, with characteristics of fractured formation structure and deep burial in Zhuanghai area. Due to characteristics of the fractured carbonate reservoirs, the petrophysical properties are variable greatly and the shape of reservoir in space is very different. Its reflection on seismic is disordered, so it is difficult to predict the effective reservoir. In this view, a new autocorrelation function is constructed by introducing a directionality factor into a mixed autocorrelation function, and the resulted random media will be certain directional. Based on this, fractured media models with different statistical characteristics are created by thresholding and designating the lengths of semi-major and semi-minor axes of fractures as well as local fracture density. These models can be used to effectively describe complex fractures of varying sizes, density, orientations, and filling rates. Then a double-porous medium superposition model is developed for buried hill in Zhuanghai area using borehole data、seismic data and results of well logging interpretation. After that, seismic wave field forward modeling technique for heterogeneous media is performed to the seismic response characteristics of buried hill reservoir .The results of forward modeling suggests that the larger the scale, higher the density, smaller the filling velocity and the development angle of fractured reservoirs in the lower Paleozoic in the study area, make the stronger reflection energy of different intensity on the seismic profile, which provides a basis for the identification and prediction of wave field characteristics of fractured reservoirs in buried hills. On this basis, by integrating the dip angle and energy properties sensitive to the fracture reservoirs in the study area, the plane distribution characteristics of the Lower Paleozoic fracture reservoirs in the buried hills are effectively predicted, which provides effective technical support for studying the buried hills and oils exploration provides in the future.

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引用本文

刘良刚. 基于多尺度随机建模的潜山裂缝储层预测技术[J]. 科学技术与工程, 2020, 20(15): 5948-5953.
Liu Lianggang. Prediction technology of buried hill fractured reservoirbased on multi-scale stochastic modeling[J]. Science Technology and Engineering,2020,20(15):5948-5953.

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  • 收稿日期:2019-08-22
  • 最后修改日期:2020-06-14
  • 录用日期:2019-11-10
  • 在线发布日期: 2020-06-24
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