Accelerating Completions Concept Select in Unconventional Plays Using Diagnostics and Frac Modeling
- Ali Azad (Shell Canada) | Kiran Somanchi (Shell Canada) | Jim R. Brewer (Shell Canada) | Daniel Yang (Shell Canada)
- Document ID
- Society of Petroleum Engineers
- SPE Hydraulic Fracturing Technology Conference and Exhibition, 24–26 January, The Woodlands, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 3 Production and Well Operations, 7.1 Asset and Portfolio Management, 3.3 Well & Reservoir Surveillance and Monitoring, 7.2 Risk Management and Decision-Making, 0.2 Wellbore Design, 3.3.6 Integrated Modeling, 7.1.6 Field Development Optimization and Planning, 1.2.3 Rock properties, 7 Management and Information, 7.2.1 Risk, Uncertainty and Risk Assessment
- Frac, Concept Select, Modeling, Diagnostics, Completions
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Data pads in unconventional plays have shown significant value when they are carefully designed to tackle specific problems or concerns. This includes the use of diagnostics to cross-validate development concepts such as stimulation design, well architecture, frac and well spacing, and numerous other variables. In this paper, it is demonstrated how various diagnostics technologies together with subsurface data can be used to calibrate a frac model. The model can then be coupled with a reservoir simulator to accelerate completions concept select decisions in unconventional plays. This process (a) eliminates multiple field trial costs, (b) tests different completions and stimulation designs, and (c) assists in de-risking various field development planning scenarios. This paper focuses on a real-life case-study where integrated diagnostics and modeling were applied to de-risk multiple completions scenarios. An intermediate planar frac model was calibrated and used to lower the uncertainty of key frac parameters including frac geometry and conductivity. In addition, subsurface parameters such as in-situ stresses and rock properties were tuned. The results from the integrated modeling effort were used to propose future development options for the play.
|File Size||1 MB||Number of Pages||13|
Pankaj, P., Geetan, S., MacDonald, R., Qiu, F., Porcu, Marongiu Pocu, M., Xu, J., Malpani, R., Pope, T.L., 2015. Reservoir Modeling for Pad Optimization in the Context of Hydraulic Fracturing. SPE 176865-MS, SPE Asia Pacific Unconventional Resources Conference and Exhibition, 9-11 November, Brisbane, Australia.
Ugueto, G.A., Huckabee, P.T., Somanchi, K., Acosta, L.R., Den Boer, H., Tummers, R., Crowther, G.C., 2017. Accelerated Completion De-Risking and Stimulation Optimization via Long Term Flow Monitoring using Distributed Acoustic Sensing. SPE 184842-MS, SPE Hydraulic Fracturing Technology Conference and Exhibition, 24 - 26 Jan, The Woodlands, Texas, USA.
Ugueto C., G.A., Huckabee, P.T., Molenaar, M.M., Wyker, B., Somanchi, K., 2016. Perforation Cluster Efficiency of Cemented Plug and Perf Limited Entry Completions; Insights from Fiber Optics Diagnostics, SPE 179124-MS, SPE Hydraulic Fracturing Technology Conference, 9-11 February, The Woodlands, Texas, USA.
Ugueto, G.A., Huckabee, P.T., Molenaar, M.M., 2015. Challenging Assumptions About Fracture Stimulation Placement Effectiveness Using Fiber Optic Distributed Sensing Diagnostics: Diversion, Stage Isolation and Overflushing. SPE 173348-MS, SPE Hydraulic Fracturing Technology Conference, 3-5 February, The Woodlands, Texas, USA.
Ugueto, G.A., Ehiwario, M., Grae, A., Molenaar, M.M., Mccoy, K., Huckabee, P.T., Barree, R.D. 2014. Application of Integrated Advanced Diagnostics and Modeling To Improve Hydraulic Fracture Stimulation Analysis and Optimization. SPE 168603-MS, SPE Hydraulic Fracturing Technology Conference, 4-6 February, The Woodlands, Texas, USA.