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随着胜利油田油气勘探的逐步深入,薄储层成为重要的勘探方向之一,但其预测也一直是个勘探难题。因此针对其识别,开发了多元线性回归薄储层预测技术,研发了油藏表征系统软件。该方法在多种属性优选的基础上,建立了储层厚度与伪熵、混沌等优势地震属性间最优化定量计算关系,刻画了薄储层在平面上的分布趋势,进而掌握储层厚度分布特征。在阳信洼陷沙一段滨浅湖薄层砂体预测中,该项技术的应用取得了良好的勘探效果,较好地反映了生物灰岩储层平面上的展布特征,对胜利探区其它类型的薄储层油藏勘探,起到了很好的借鉴和参考意义。
As oil and gas exploration in Shengli Oilfield progresses further and deeper, thin reservoirs have become one of the most important exploration directions, but their prediction has always been an exploration challenge. Therefore, according to its identification, a multi-linear regression thin reservoir prediction technology has been developed and a reservoir characterization system software has been developed. Based on the optimization of multiple attributes, this method establishes the optimal quantitative relationship between reservoir thickness and pseudo-entropy, chaos and other seismic attributes, and depicts the distribution trend of thin reservoirs in the plane, and then grasps the distribution of reservoir thickness feature. The application of this technique has achieved a good exploration result in the prediction of the sand body of shallow sand bank in Sha1 section of Yangxin Sag, which can well reflect the distribution characteristics on the bio-limestone reservoir plane. Other types of thin reservoir exploration, played a good reference and reference.