Machine learning approach empowers well placement in tight gas field
Language: Inglés Publication details: jul. 2023Description: p. ; 89-91 In: Journal of Petroleum Technology| Current library | Status | Barcode | |
|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Not for loan | 200068265 |
This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 22188, "Machine-Learning-Empowered Well Placement in a Large Unconventional Tight Gas Field in China," by Ting Yu, SLB; Xiangzeng Wang, Shaanxi Yanchang Petroleum; and Alexis Carrillat, SLB, et al. The paper has not been peer reviewed. Copyright 2022 International Petroleum Technology Conference. Reproduced by permission.
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