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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 15912
School of Cognitive Sciences
  Title:   Cell size optimization for fracture measure estimation in multi-scale studies within oil wells
1 . A. Mazaheri
2 . H. Memarian
3 . B. Tokhmechi
4 . B. Nadjar Araabi
  Status:   Published
  Year:  2019
  Pages:   261-272
  Supported by:  IPM
Fracture measure (FM) is a newly developed concept that shows the effectiveness of fractures in each horizon fuzzily. Different cell sizes could be used in fracture modeling, including FM calculations. The optimization of cell size should be carried out due to size of the target of study and other logging parameters. This work aims to investigate the limitations of using FM in different cell sizes. To obtain this purpose, initially, six different grids including 2.5, 5, 7, 15, 30, and 60 cm around the well axis are designed, and then the FM is calculated in each grid size by using an analytical relationship. Afterwards, four controlling factors are devised to find the most optimum cell size. The controlling factors are Log Response Uncertainty (LRU), Mean Squared Error (MSE), Fracture Length Effect (FLE), and Clearness of Fracture Measure (CFM), which are fused by using Sugeno integral method. The results show that the cell size of 30 cm is the most optimum size for FM estimation in the two wells under study. Finally, estimated FM in each cell size was fused again by the operator of Sugeno. Fused FM not only has the trend of calculated FM in the cell size of 30 cm, but also reconstructed the peaks of high frequency, which are not detectable in the calculated FM in the cell size of 30 cm.

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