Multi-scale fracture prediction and characterization method of a fractured carbonate reservoir

Abstract

The WZ oilfield is characterized by a small production range, low recovery degree, strong reservoir heterogeneity, and complex fracture distribution. At present, there is no quantitative evaluation method for fractures of different scales. This causes problems that include an unclear understanding of reservoirs’ physical properties and remaining oil distribution and seepage characteristics. In this paper, multi-scale fracture prediction and a quantitative characterization method of a fractured carbonate reservoir are studied using three-dimensional seismic imaging logging and regional tectonic stress field distribution data. On the basis of analogs, variance cube, curvature, and the Pompano through-flowline system, large-scale crack recognition is carried out. Combined with the maximum positive curvature attribute, fracture density, and fracture direction interpreted by imaging logging, a small- and medium-sized fracture model is established. Finally, the multi-scale fracture prediction is carried out. This study has important theoretical significance for accurately describing and characterizing the multi-scale fracture distribution law and guiding the fine development of oilfields.