The Novel Dynamic Monitoring Technology and Analysis Methods for Deep Carbonate Reservoirs

Deep carbonate reservoirs have become a hot spot in oil and gas exploration and development. However, due to the heterogeneous nature and diverse multi-scale storage space of fissure-cave reservoirs, it is difficult to accurately identify the structure of fissures, describe the internal spatial structure and reservoir characteristics of fissure units, severely restricting the efficient development of this type of oil and gas reservoir. In response to the current lack of quantitative analysis of fissure structures, this paper takes deep carbonate reservoirs as the research object and conducts tracer flow experiments with different fissure structure combination schemes. The characteristics and classification of tracer production concentration curves are discussed. Based on the tracer flow theory, a tracer flow model of fissure-cave reservoirs considering particle settling and adsorption characteristics is established. This model is used to quantitatively interpret and analyze tracer production concentration curves in indoor physical plate experiments, and the fissure characteristics are quantitatively characterized through algorithmic inversion.