Log-Log Pressure Curve–Based Analysis and Evaluation of Shale Gas Stimulation: A Case Study from Block X, Sichuan Basin

To address the challenges in interpreting fracturing treatment curves and the ambiguity in evaluating stimulation performance in shale gas fracturing, this study develops a comprehensive post-fracturing evaluation approach based on field data from shale gas wells in Block X of the Sichuan Basin, aiming to identify the key controlling factors influencing the stimulated reservoir volume (SRV). Using 295 fracturing stages, log–log pressure curve analysis was applied to process treatment data and optimize slope classification thresholds. The fracturing effectiveness of different curve types was compared with SRV results derived from microseismic monitoring, and the dominant factors were identified through grey relational analysis combined with normalized weighting calculations. The results show that fluid intensity, shut-in pressure, and proppant intensity are positively correlated with SRV. In highly brittle reservoirs, a rock property exemplified by Block X in the Sichuan Basin, increasing proppant concentration and optimizing treatment parameters in real time can effectively enlarge the stimulated reservoir volume. This study establishes a log–log pressure curve analysis and evaluation framework applicable to shale gas wells in Block X of the Sichuan Basin, providing a practical reference for improving fracturing design and stimulation effectiveness.