A machine learning framework for rapid forecasting and history matching in unconventional reservoirs.
- DOI
- 10.1038/s41598-021-01023-w
- Published
- 2021 Nov 5
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-021-01023-w,
title = {A machine learning framework for rapid forecasting and history matching in unconventional reservoirs.},
author = {Srinivasan S and O'Malley D and Mudunuru MK and Sweeney MR and Hyman JD and Karra S and Frash L and Carey JW and Gross MR and Guthrie GD and Carr T and Li L and Viswanathan HS},
year = {2021},
journal = {Scientific reports},
doi = {10.1038/s41598-021-01023-w},
url = {https://doi.org/10.1038/s41598-021-01023-w}
}RIS
TY - JOUR TI - A machine learning framework for rapid forecasting and history matching in unconventional reservoirs. AU - Srinivasan S AU - O'Malley D AU - Mudunuru MK AU - Sweeney MR AU - Hyman JD AU - Karra S AU - Frash L AU - Carey JW AU - Gross MR AU - Guthrie GD AU - Carr T AU - Li L AU - Viswanathan HS PY - 2021 JO - Scientific reports DO - 10.1038/s41598-021-01023-w UR - https://doi.org/10.1038/s41598-021-01023-w ER -
APA
S, S., D, O., MK, M., MR, S., JD, H., S, K., L, F., JW, C., MR, G., GD, G., T, C., L, L., & HS, V. (2021). A machine learning framework for rapid forecasting and history matching in unconventional reservoirs.. Scientific reports. https://doi.org/10.1038/s41598-021-01023-w
Source records
- pubmed · retrieved 2026-09-25T11:36:20.695Z