InterPore2026

Integrated Geology-Engineering Characterization of Fracturing Sweet Spots and Stage-and-Cluster Optimization for Horizontal Wells in Deep Glutenite Reservoirs

22 May 2026, 15:30

1h 30m

Poster Presentation (MS07) Mathematical and numerical methods for multi-scale multi-physics, nonlinear coupled processes Poster

Speakers

Prof. Bo Wang (China university of petroleum beijing) Li Zhang (China university of petroleum beijing)

Description

Deep glutenite reservoirs are characterized by strong heterogeneity, complex rock mechanical properties, and high uncertainty in natural fracture development. The conventional equal-spacing cluster placement strategy fails to accommodate reservoir heterogeneity, often leading to imbalanced fracture network propagation and substantially limiting the effectiveness of volume fracturing. To address these challenges, this study proposes a Double sweet spot index (DSI) construction method and a dynamic clustering optimization workflow based on the geology–engineering integration concept. A sweet spot evaluation index system incorporating both geological and engineering parameters was established. An entropy–grey relational combined weighting model was introduced to quantify and define the DSI. On this basis, the Elbow method was applied to determine the optimal number of sweet spot categories, and Fisher’s optimal partitioning algorithm was used to perform homogeneity-based dynamic segmentation of the DSI curve, enabling precise characterization of the spatial distribution of Class I, II, and III sweet spots. A targeted interactive perforation cluster optimization strategy was then proposed based on sweet spot classification. Taking the X-1 well (with poorly developed natural fractures) and the K-1 well (with well-developed natural fractures) as study cases, an integrated geology–mechanics–sweet spot coupled model was established for each well to quantify the changes in fracture length and uniformity before and after optimization. The results show that after optimization, the total fracture length increased by an average of approximately 58%, while the uniformity of fracture length among clusters improved by 38%. This study validates the applicability of the proposed dynamic optimization method in highly heterogeneous glutenite reservoirs and provides a theoretical basis for precision fracturing and efficient productivity enhancement in deep complex lithologic reservoirs.