为对西非安哥拉Plutonio油田渐新统O73砂层组深水浊积水道分布进行模拟,基于浅层高频地震资料,对浅层水道沉积的形态特征及规模进行定量研究,通过相似性类比,用于指导油田深层单一水道砂体规模统计,然后建立定量化三维训练图像,最后利用多点地质统计学Snesim算法进行深水浊积水道分布模拟,并利用实钻井资料进行验证。研究表明：研究区浅层单一水道宽度、深度呈线性正相关关系,弯曲度与陆坡坡度呈指数负相关,单一水道砂体平均厚度13 m,平均宽度162 m。通过高精度梯度阻抗反演,提取浅层水道目标地质体作为深层水道定量化三维训练图像,采用Snesim算法进行随机模拟,深层浊积水道模拟结果忠实于井点数据,且水道砂体的平面形态、发育规模以及叠置关系具有受训练图像定量约束的特点,能够再现水道以及水道与天然堤间的空间结构与几何特征。图13参19
张文彪
,
段太忠
,
刘志强
,
苑书金
,
林煜
,
许华明
. 深水浊积水道多点地质统计模拟——以安哥拉Plutonio油田为例[J]. 石油勘探与开发, 2016
, 43(3)
: 403
-410
.
DOI: 10.11698/PED.2016.03.10
In order to simulate the deep water channel distribution of the Oligocene O73 sand layers in the Plutonio oilfield in Angola of west Africa. Based on the shallow high frequency seismic data, the morphology and quantitative scale of shallow channel were studied. By analogy, this study was used as guidance for the scale statistics of single deep channel sandstone, and a three dimensional quantitative training image was created. On this basis, the deep water channel distribution was simulated using multi-point geo-statistics Snesim algorithm and tested by real drilling. The results show that the width and depth of shallow single channel are in linear correlation, while the tortuosity is negatively correlated with the slope gradient exponentially. The average depth of single channel sandstone was 13 meters and the average width was 162 meters. It is concluded that the deep water channel distribution simulation results consist with well data obtained through high resolution gradient impedance inversion, extraction of shallow channel geologic body as 3-D quantitative training image and simulation using Snesim algorithm. The spatial morphology and size of different channels are constrained by the quantitative characteristics of training image, and can reproduce geometric characteristics and spatial structure of deep water channels and levees.
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