Dual Wet-Dry Gas Pipeline Networks Model and Optimization Method for Oilfield Gathering Systems

• Station mass balance coupling framework for dual wet–dry gas networks. • Unified framework integrating mass balance, pressure safety, and binary gas-consumption decisions. • B-JADE with adaptive sigmoid mapping to stabilize continuous–discrete search. • Coordinated optimization of wet-gas input, dry-gas supply, and thermal load adaptation. Oilfield gathering systems in mid-to-late development stages often rely on legacy dual wet-dry gas pipeline networks. Combined with small pipeline diameters, these systems become sensitive to pressure drop under high-flow-rate conditions, which poses challenges for pipeline network optimization. Conventional optimization models that assume fixed gas consumption overlook calorific value differences and fail to accurately reflect actual pipeline network conditions. In this paper, a coupling simulation and optimization model incorporating station mass balance is constructed. By introducing binary decision variables and a station-pipeline incidence matrix to represent gas consumption types, a coupling simulation model for dual wet-dry gas pipeline networks is proposed, which describes the coupling operating characteristics of the two networks. A binary differential evolution method is developed using adaptive control and a sigmoid probability mapping function, which adaptively projects continuous variables onto discrete decisions. An oilfield case study demonstrates that, after optimization, the wet-gas outlet increases from 3.37 × 10 5 m 3 /d and 3.62 × 10 5 m 3 /d to 4.27 × 10 5 m 3 /d and 4.01 × 10 5 m 3 /d in summer and winter, corresponding to increases of 26.7% and 10.8%, respectively. The proposed method demonstrates robust performance and achieves full convergence to the discrete decision space.