基于行列搜索的边界井追踪算法在油田开发中的应用研究

Application of BoundaryWell SearchingAlgorithm in Oilfield Based on Rows-Columns Method

注采井网边界的精确追踪是油田动用状况研究及开发调整潜力评价的基础。针对注采井网形成的平面变密度离散点集的边界追踪问题,论文在注采井网特征分析的基础上,提出了一种基于分块行列法的井网边界自动追踪算法。通过确定合理的搜索步长,首先利用整体行列法进行总体边界的识别,然后对复杂边界的子集再实施分块行列法进行子边界的识别,最后将整体边界和子边界进行融合并对特殊边界井进行必要的处理和修正,进而得到合理的注采井网边界。该方法可有效识别变密度平面点集的凸边界和复杂凹边界特征,并在喇萨杏油田12个区块的单层动用状况研究和剩余潜力计算中得到了广泛应用,极大提高了边界井识别效率,保证了剩余潜力评价精度,取得很好的应用效果。

The boundary well searching of the injection-production system is the foundation of the producing perform-ance and remaining reserve evaluation in the oilfield development and adjustment. Aiming at the case of discrete points with variable well spaces a new kind of blocked rows-columns method used to identify the boundary wells is presented in this pa-per based on the characteristic analysis of well patterns. On the basis of proper step calculation, the overall boundary of the field is firstly identified by the using of a comprehensive rows and columns method. And the blocked identifying method is then applied to the subsets with complex concave boundary. The overall boundary and the subset boundary are then combined together. The abnormal boundary wells are finally treated separately in order to obtain an accurate field boundary. The algo-rithm can be effectively used to identify the convex and concave characteristic in a discrete point set with variable point spaces. The method has been implemented in the evaluation of the producing performance and the remaining reserve in 12 blocks in Lasaxing Oilfield, which improves the efficiency of the boundary-well identification and assures the accuracy of the remaining reserve calculation and shows a good result.