Mechanistic Approach to Analyzing and Improving Unconventional Hydrocarbon Production [Slides]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
DOE research is developing the physical basis and tools needed to manage pressure effectively to increase recovery efficiency. By coupling fast, accurate physics with machine learning, DOE is producing science-based platforms any operator can use. DOE’s research portfolio is targeting hydrocarbon transport at multiple scales, with the goal of increasing recovery efficiency. DOE’s research has led to new, fast & accurate platforms for predicting gas production from fractured shales. Using data from the MSEEL-I site to calibrate our physics-based model, we have early results on pressure management. We have shown that both mechanical and chemical processes in the matrix can negatively impact production.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- 89233218CNA000001
- OSTI ID:
- 1641550
- Report Number(s):
- LA-UR--20-25286
- Country of Publication:
- United States
- Language:
- English
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