Loading...

An improved simulated annealing algorithm in fracture network modeling

Mahmoodpour, S ; Sharif University of Technology

810 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.jngse.2016.05.056
  3. Publisher: Elsevier
  4. Abstract:
  5. Fracture network modeling is a crucial step in development of hydrocarbon resources. For proposing development plan and design of stimulation operations fracture network should be known. This paper proposes a new improved simulated annealing algorithm for the problem of fracture network modeling. This algorithm improves computation performance without degrading solution quality so much by incorporating a method for estimation of the initial value of temperature-like parameter, using an adaptive Markov chain length (inner iterations) and suggesting a new fast and adaptive annealing schedule. Masihi et al. (2007) proposed an objective function for fracture network modeling based on mechanism of fracturing. We implemented this objective function through a proposed algorithm to generate models that incorporate field observations. The applicability of the methodology is assessed through a case study and the results are satisfying
  6. Keywords:
  7. Physically-based objective function ; Spatial configuration of fractures ; Algorithms ; Fracture ; Markov processes ; Adaptive cooling schedule ; Adaptive Markov length ; Computation performance ; Fracture network models ; Improved simulated annealing algorithm ; Objective functions ; Spatial configuration ; Stimulation operations ; Simulated annealing
  8. Source: Journal of Natural Gas Science and Engineering ; Volume 33 , 2016 , Pages 538-550 ; 18755100 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1875510016303705