Applications of type-2 fuzzy logic system: handling the uncertainty associated with candidate-well selection for hydraulic fracturing
The problem of selecting a target formation(s) in a reservoir among a vast number of zones/sub-layers within huge number of hydrocarbon producing wells for hydraulic fracturing (HF) by using interval type-2 fuzzy logic system (IT2-FLS) to maximize their net present value is studied in this paper. Cl...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Article |
| 出版: |
Springer-Verlag London Ltd
2016
|
| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/71995/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936816927&doi=10.1007%2fs00521-015-1977-x&partnerID=40&md5=bb931f1920bde8c84a02bd9bd3061b0f |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | The problem of selecting a target formation(s) in a reservoir among a vast number of zones/sub-layers within huge number of hydrocarbon producing wells for hydraulic fracturing (HF) by using interval type-2 fuzzy logic system (IT2-FLS) to maximize their net present value is studied in this paper. Classical fuzzy system which is called type-1 fuzzy logic system is not capable of accurately capturing the linguistic and numerical uncertainties in the terms used and the inconsistency of the expert’s decision-making. IT2-FLS is very useful in circumstances where it is difficult to determine an exact membership function for a fuzzy set; hence it is very effective for dealing with uncertainties. In highlighting this need, the question has been answered why IT2-FLS should be used in this study. The procedure of applying this study in the area of HF candidate-well selection is illustrated through a case study in an oil reservoir. |
|---|