# Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/time-series-well-performance-prediction-based-on-long-short-term-memory-lstm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xuanyi Song,Yuetian Liu,Liang Xue,Jun Wang,Jingzhe Zhang,Junqiang Wang,Long Jiang,Ziyan Cheng |
| Citations | 525 |
| DOI | 10.1016/j.petrol.2019.106682 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2984376566 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Jun Wang](https://scholariq.org/researchers/jun-wang/)

## Paper primary topic

- [Reservoir Engineering and Simulation Methods](https://scholariq.org/topics/reservoir-engineering-and-simulation-methods/)

## Paper topics

- [Reservoir Engineering and Simulation Methods](https://scholariq.org/topics/reservoir-engineering-and-simulation-methods/)
- [Oil and Gas Production Techniques](https://scholariq.org/topics/oil-and-gas-production-techniques/)
- [Hydraulic Fracturing and Reservoir Analysis](https://scholariq.org/topics/hydraulic-fracturing-and-reservoir-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.