Optimization of significant fluid parameters in the success of hydraulic fracturing in shale gas using the random forest algorithm

Hydraulic fracturing is carried out in an unconventional reservoir, namely a shale gas reservoir, which is influenced by several factors, such as porosity and low permeability. It aims to determine fluid parameters that are very influential in the success of hydraulic fracturing and determine the optimum ratio using the random forest algorithm. Parameters tested in This research include the Power law index, Yield stress, Fluid consistency, Propant concentration, and particle diameter of the five parameters above. Generate using fraccade 7.0, and the result is a Half value Length and Effective Permeability, which will then be analyzed using CMOST and an effective permeability of 799.4 md and a half-length of 66.3 ft indicates an optimal state with a cumulative gas value produced of 907500.1 ft3. Then using the random forest algorithm at a ratio of 0.7: 0.3 with RMSE (Root Mean Squared Error) of 0.14 and MAPE (Mean Absolute Percentage Error) of 0.00%, the results show that they are in optimal condition.