Optimization of sustainability-driven selection of drainage gas recovery technologies in the production process using a picture fuzzy-based decision support system

Drainage gas recovery technologies (DGRTs) are important and valuable technologies for increasing the production process in gas fields in the later stage. Assessing these technologies with the target of using an optimal alternative (technology) is urgently needed in most of Iran's major gas fields due to low recovery in their late development stages. According to, in order to optimize the use of these technologies for Iran’s gas wells with liquid accumulation, an intelligent decision support system (DSS) based on a picture fuzzy set (PFS)-compromise ranking of technologies from distance to ideal solution (CRADIS) model is conducted by considering the sustainability principles of different DGRTs. For implementing the PFS-CRADIS model, seven DGRTs consisting of 1) Velocity column, 2) Electric submersible pump, 3) Gas lift, 4) Plunger, 5) Jet pump, 6) Pipe string optimization, and 7) Foaming are considered as decision-making technologies. Also, an evaluation system containing 16 criteria-based four sustainability principles (economic, environmental, social, and technical aspects) is used. The target gas-fields in Iran have conditions such as gas pressure gradient of 0.057 psi/ft, gas production of 1337 billion cubic meters, and well depth of 4000 meters. The results of the used model with regard to the target gas-fields conditions reveal that the Jet pump technology with the highest weighing value is proposed as the sustainable and optimal technology for increasing the recovery of major gas fields.