Analyzing Production Data From Tight Oil Wells
- Shah Kabir (Hess Corporation) | Faisal Rasdi (Hess Corporation) | B. Igboalisi (Hess Corporation)
- Document ID
- Society of Petroleum Engineers
- Journal of Canadian Petroleum Technology
- Publication Date
- May 2011
- Document Type
- Journal Paper
- 48 - 58
- 2011. Society of Petroleum Engineers
- 5.1.1 Exploration, Development, Structural Geology, 5.5.8 History Matching
- unconventional oil reservoirs, production data analysis, understanding production behaviour
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- 3,496 since 2007
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Performance prediction of wells producing from tight (microdarcy) formations is a daunting task. Complexities of geology (the presence/absence of naturally occurring fractures and contribution from different lithological layers), completion and fracture geometry complexities (multiple transverse or longitudinal fractures in long horizontal boreholes), and two-phase flow are impediments to simple performance forecasting.
We demonstrate the use of various analytical and numerical tools to learn about both short- and long-term reservoir behaviours. These tools include (a) traditional decline-curve analysis (Arps 1945), (b) Valko's stretched-exponential (SE) method (Valko 2009), (c) the Ilk et al. (2008, 2010) power-law exponential (PLE) method, (d) rate-transient-analysis (RTA) and transient-PI analyses to ascertain the stimulated-reservoir volume (SRV), and (e) numerical-simulation studies to gain insights into observed flow regimes.
The benefits of collective use of analytical modelling tools in history matching and forecasting both short- and long-term production performance of tight oil reservoirs are demonstrated with the use of real and simulated data. Diagnosing natural fractures, quantifying stimulated-reservoir volume, and assessing reliability of future performance predictions all became feasible by using an ensemble of analytical tools.
|File Size||1 MB||Number of Pages||11|
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