.png){kind=icon}
返回
Discrete Well Affinity Data-Driven Proxy Model for Production Forecast
.png){kind=icon}
OA
AI
DOI：10.2118/205489-PA.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A physics-based data-driven model is proposed for forecasting of subsurface energy production. The model fully relies on production data and does not require any in-depth knowledge of reservoir geology or governing physics. In the proposed approach, we use the Delft Advanced Reservoir Terra Simulator (DARTS) as a workhorse for data-driven simulation. DARTS uses an operator-based linearization technique that exploits an abstract interpretation of physics benefiting computational performance. The physics-based datadriven model is trained to fit data increasing the fidelity of the model forecast and reflecting significant changes in reservoir dynamics or physics over its history. The model is examined and validated for both synthetic and real field production data. We demonstrate that the developed approach is capable of providing accurate and reliable production forecast on a daily basis, even if the exact geological information is not available.
Keyword:
OPERATOR-BASED LINEARIZATION
INTERWELL CONNECTIVITY
ELLIPTIC PROBLEMS
FLOW
SIMULATION
OPTIMIZATION
期刊
S
IF:
3
论文数:
2.4K
被引数:
1.0W
机构
引用论文
分享收藏分享收藏A multiscale finite element method for elliptic problems in composite materials and porous media
PREAI
分享收藏Turbocharger motor-generator for improvement of transient performance in an internal combustion engine用于改善内燃机瞬态性能的涡轮增压器电动发电机.png)
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile EngineeringIF0
PREAI
分享收藏Machining of Iron-Carbon Alloys by the Use of Poly-Crystalline Diamond Cutting Inserts with Internal Cooling采用内部冷却的多晶金刚石刀片对铁碳合金进行加工
OAAI
OAAI分享收藏
查看更多内容