Well placement optimization using direct mapping of productivity potential and threshold value of productivity potential management strategy. (2nd February 2019)

• Record Type: Journal Article
• Authors: Ding, Shuaiwei; Lu, Ranran; Xi, Yi; Wang, Shuoliang; Wu, Yuping
• Is Part Of: Computers & chemical engineering. Volume 121(2019)
• Page Start: 327
• Page End: 337
• Publication Date: 2019-02-02
• Subjects: Well placement optimization -- Direct mapping of productivity potential -- Threshold value of productivity potential -- Optimization time reduction -- Particle swarm optimization; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2018.11.013
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: The direct mapping of productivity potential technique is applied for well placement optimization problems. Threshold value of productivity potential (TVPP) coupled with PSO is first proposed. TVPP management strategy can significantly reduce optimization time and keep optimization effect at the same time. ABSTRACT: Well placement optimization is usually complex, nonlinear and multimodal in oil field development. Well placement is usually optimized by coupling reservoir numerical simulator with population-based algorithms. This method is computationally expensive, as they require many fitness function calls during the optimization process which limits its optimization efficiency. In this work, the direct mapping of productivity potential (DMPP) technique is applied for well placement optimization problems. Threshold value of productivity potential (TVPP) coupled with particle swarm optimization (PSO) is first proposed as a screening process to reduce the number of objective function evaluation based on DMPP. PUNQ-S3 model is applied to analyze the adaptability of DMPP and feasibility of TVPP for well placement optimization. Results demonstrate TVPP management strategy can significantly reduce the optimization time (OT) and keep the optimization effect at the same time. Taken it total, the proposed management strategy is simple but very efficient.