Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods.

ABSTRACT: Accurate prediction of the initial production in horizontal wells targeting tight sandstone gas reservoirs (IPHTSG) is critical for assessing the exploitation potential of well locations and identifying reservoir sweet spots. Traditional methods for estimating horizontal well productivity exhibit limited applicability due to reservoir heterogeneity and unfavourable petrophysical properties; therefore, this study proposes the use of machine learning for IPHTSG forecasting by systematically analysing the engineering parameters and production metrics. First, an IPHTSG database is established by categorizing and compiling the collected engineering and production parameters in addition to the classified initial production data. Second, on the basis of the IPHTSG database, prediction models for

SUBMITTER: Sun J 

PROVIDER: S-EPMC12322220 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature