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南堡凹陷C油田沙河街组发育一套披覆在潜山之上的生屑云岩储层,为该油田的主力含油层系,生屑云岩分布不稳定,横向变化较大,先期钻探的5口探井有2口落空。基于周边油田分析,古地貌是生屑云岩储层分布的主要因素。受上覆火成岩的影响,该油藏速度横向变化剧烈,古地貌恢复困难,使预测储层分布范围困难较大。考虑到速度横向变化的影响,利用传统的时深转换方法难以准确地计算构造深度进而恢复古地貌。本文从多口已钻井的时深关系精细对比分析出发,明确了该区的速度影响因素主要有压实效应和火成岩厚度,同时基于对传统时深转换方法的适用性分析,提出了一种基于二元回归的时深转换新方法。实际资料应用表明,利用该方法计算的构造深度与实钻结果吻合较好,能够有效恢复古地貌和预测生屑云岩的分布,该时深转换方法对于速度横向变化剧烈的地区有较好的推广应用价值。
In the Shahejie Formation of C Oilfield in Nanpu Sag, a set of bioclastic dolomite reservoir draped over the buried hill is the main oil-bearing layer of this oilfield. The distribution of raw cloud dolomite is unstable and horizontal variation is large. The 5 There are 2 mouth spout wells fell. Based on the analysis of the surrounding oil fields, paleogeomorphology is the major factor in the distribution of bioclastic clouds. Affected by the overlying igneous rocks, the velocity of the reservoir changes drastically and the paleogeomorphology is difficult to recover, making it more difficult to predict the reservoir distribution range. Considering the influence of lateral velocity change, it is difficult to accurately calculate the depth of tectonics and restore ancient landscape by using the traditional time-depth conversion method. In this paper, based on the detailed contrast analysis of multi-well drilling time-depth relationship, it is clear that the main influencing factors in this area are compaction effect and igneous rock thickness. At the same time, based on the analysis of applicability to the traditional time-depth conversion method, A New Method of Time Transformation Based on Binary Regression. The application of actual data shows that the calculated depth by this method is in good agreement with the real drilling result, which can effectively restore the paleogeomorphology and predict the distribution of bioclastic dolomites. The deep-time conversion method has a good performance for the areas with sharp lateral velocity changes Promote the value of application.