Loading...
Application of the recovery curve method for evaluation of matrix-fracture interactions
373 viewed

Application of the recovery curve method for evaluation of matrix-fracture interactions

Ghaedi, M

Application of the recovery curve method for evaluation of matrix-fracture interactions

Ghaedi, M ; Sharif University of Technology | 2015

373 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.jngse.2014.12.029
  3. Publisher: Elsevier , 2015
  4. Abstract:
  5. The Discrete Fracture Network and Dual Continuum concept are two common methods to model naturally fractured reservoirs. Each has specific limitations. The newly introduced recovery curve method is believed to be a compromise between these two current methods. In the recovery curve method, two recovery curves for water and gas displacements are used to more realistically calculate matrix-fracture mass exchanges. This paper presents a new approach to determine appropriate recovery curves by using the recovery curve method and production data. In particular, two recovery curves were determined for a column model by matching phase contact positions throughout the production data. Hybrid genetic algorithm and Neighborhood-Bayes technique were utilized for optimization and uncertainty quantification purposes respectively. Also, the distribution of the history matched models was shown by Boxplot. The results with the predicted recovery curves, showed very good agreement with the reference production data and the Bayesian credible intervals (P10-P90) of the proposed method were acceptable
  6. Keywords:
  7. Matrix-fracture interaction ; Neighborhood-Bayes algorithm ; Recovery curve method ; Fracture ; Matrix algebra ; Petroleum reservoirs ; Bayes algorithms ; Fracture interactions ; History matching ; Naturally fractured reservoirs ; Recovery curves ; Recovery
  8. Source: Journal of Natural Gas Science and Engineering ; Volume 22 , January , 2015 , Pages 447-458 ; 18755100 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1875510014004077