Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study)

Abstract Despite significant advancements in geomodelling technologies, Accurately estimating hydraulic fracture half-length remains a challenging task. This paper introduces detailed estimation approach using the Gaussian Pressure Transient (GPT) method, which is relatively new. The GPT method iterative, ensuring fast convergence and providing reliable estimations of b’ased on predetermined diffusivity value obtained from Decline Curve Analysis (DCA). To validate results, production data two case study wells Wolfcamp Shale Formation, located Midland Basin West Texas, are utilized alongside traditional Rate-Transient (RTA) method. Moreover, offers capability to probabilistically estimate half-lengths, presenting innovative approaches evaluate robustness this newly developed for both deterministic probabilistic estimations. simulation results demonstrate close correlation between micro-seismic with separate confirmation classic RTA-method. Through studies presented paper, GPT-method showcases its utility half-lengths wells, effectively demonstrating validity practical applicability novel