Frontiers in Energy Research (Jan 2024)

Horizontal well placement optimization based on matrix directional continuous element summation algorithm

  • Ruijie Huang,
  • Kun Wang,
  • Kun Wang,
  • Li Li,
  • Mingying Xie,
  • Jianwen Dai,
  • Shasha Feng,
  • Siyu Liu

DOI
https://doi.org/10.3389/fenrg.2023.1340008
Journal volume & issue
Vol. 11

Abstract

Read online

During the course of actual oilfield development, judicious selection and design of well placement are paramount due to cost constraints and operating conditions. This paper introduces the Matrix Directional Continuous Elements Summation Algorithm (MDCESA), which is utilized to identify that segment with the largest summation for a given length in a 2D or a 3D matrix. An additional function that accounts for the distance between segments was added when searching for multiple segments to avoid intersections or overlaps between segments. The well placement optimization was transformed into a segment summation on a 3D matrix. Our findings reveal significant advancements in well placement optimization. Employing the MDCESA method, six producers were identified and their production performance was compared against two previously selected producers using a reservoir numerical simulator. The results demonstrated that the wells selected through MDCESA exhibited a substantial improvement in production efficiency. Specifically, there was an 11.6% increase in average cumulative oil production over a 15-year period compared to the wells selected by traditional methods. This research not only presents a significant leap in well placement optimization but also sets a foundation for further innovations in reservoir management and development strategies in offshore oilfields.

Keywords