Volume 64

Optimization of Intelligent Segmented Water Control for Horizontal Wells in Bottom Water Reservoirs Rong Jinxi, Tan Chaodong, Li Chenyang, Huang Shihui, You Kaiquan

Abstract

Intelligent segmented water control technology is crucial for bottom water reservoir horizontal wells, with control parameters determining application effectiveness. This paper proposes a sustainability oriented optimization method integrating Particle Swarm Optimization (PSO) with reservoir simulation. A unified objective function embedding effective production period as an amplification factor was established, with control timing (τ) and magnitude (α) as decision variables. Three schemes were compared: base case, conventional optimization (maximizing Nₚ), and sustainability oriented optimization (maximizing F with β=0.5). Case study shows the sustainability approach achieved optimal parameters τ∗—=52.9% and α∗—=56.8%, yielding cumulative production of 44.40×10⁴ m³ and extending effective production period to 1.80 years—a 28.6% improvement over base case despite only 2.2% production sacrifice compared to conventional optimization (45.38×10⁴ m³, 1.47 years). The proposed method demonstrates that early intervention (τ=50–60%) proves more effective than late-stage control (τ>75%), reducing high-permeability segment contribution from 39.5% to 27.0% and achieving balanced reservoir exploitation. This framework provides quantitative decision support for sustainable horizontal well development in bottom water reservoirs.

Keywords bottom water reservoir; horizontal well; intelligent completion; particle swarm optimization; sustainability optimization; effective production period