Sand Prediction: A Practical Finite-Element 3D Approach for Real Field Applications
- Giorgio Volonté (Eni Exploration & Production) | Francesco Scarfato (Eni E&P) | Marco Brignoli (Eni Exploration & Production)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- January 2013
- Document Type
- Journal Paper
- 95 - 108
- 2013. Society of Petroleum Engineers
- 4.2 Pipelines, Flowlines and Risers, 2 Well Completion, 2.2.2 Perforating, 4.1.2 Separation and Treating, 3.2.5 Produced Sand / Solids Management and Control, 2.4.3 Sand/Solids Control, 4.1.5 Processing Equipment
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Sand production is a critical issue in the oil and gas industry. During the production of a well, sand production may have negative consequences, such as risk of well failure, erosion of pipelines and surface facilities, and the need for sand separation and disposal. Knowing the conditions for the onset of sand production allows optimizing sand free production and, eventually, avoiding or delaying the use of sand-control methods.
The aim of this work is to establish a reliable workflow for the estimation of the conditions for sand production in real field cases by means of finite-element modeling. The fundamental requirement is to set up a 3D coupled model that can be easily adjusted to the most complex conditions (e.g., stress anisotropy, deviated wells, and complex perforation patterns).
The most suitable geometries and associated meshing strategies to describe the wellbore, the perforation tunnels, and the surrounding formation are analyzed. Further improvements with respect to previous approaches include the fact that the drilling and completion phases were also simulated to compute the correct stress distribution before the production, and that fluid flow and rock deformation are simulated in a fully coupled way to investigate accurately the effect of drawdown.
Shear failure of reservoir rock, considered as an elastoplastic medium, is the main sand-production mechanisms analyzed, and the damage of the rock around the perforations is evaluated by analyzing the distribution of the equivalent plastic strain.
Two real field cases are simulated, and the results of the finite-element models are consistent with the ones obtained by means of an analytical models and with field observations. Moreover, this numerical approach allows quantifying the spatial distribution and the severity of the damage of the rock around the perforations, facts that are either oversimplified or not considered at all in analytical models.
For future applications, this model can be straightforwardly extended to more complex conditions and can also be improved to provide volumetric sand prediction.
|File Size||3 MB||Number of Pages||14|
AbaqusTM Theory Manual, Version 6.9. 2009. SIMULIA,http://www.simulia.com/support/documentation.html.
Addis, M.A., Gunningham, M.C., Brassart, P.C. et al. 2008. SandQuantification: The Impact on Completion Design, Facilities Design, and RiskEvaluation. Presented at the SPE Annual Technical Conference and Exhibition,Denver, 21-24 September. SPE 116713. http://dx.doi.org/10.2118/116713-MS.
Bratli, R.K. and Risnes, R. 1981. Stability and failure of sandarches. SPE J. 21 (2): 236-248. SPE-8427-PA. http://dx.doi.org/10.2118/8427-PA.
Cerasi, P., Papamichos, E., and Stenebraten, J.F. 2005.Quantitative Sand-Production Prediction: Friction-Dominated Flow Model.Presented at the SPE Latin American and Caribbean Petroleum EngineeringConference, Rio de Janeiro, 20-23 June. SPE-94791-MS. http://dx.doi.org/10.2118/94791-MS.
Cleary, M.P., Melvan, J.J., and Kohlhaas, C.A. 1979. The Effectof Confining Stress and Fluid Properties on Arch Stability in UnconsolidatedSands. Presented at the SPE Annual Technical Conference and Exhibition, LasVegas, Nevada, USA, 23-26 September. SPE-8426-MS. http://dx.doi.org/10.2118/8426-MS.
Detournay, C. and Wu, B. 2006. Semi-Analytical Models forPredicting the Amount and Rate of Sand Production. In EUROCK 2006:Multiphysics Coupling and Long Term Behaviour in Rock Mechanics, ed. A.V.Cotthem, R. Charlier, J.-F. Thimus, and J.-P. Tshibanqu, 373-380. London:Taylor & Francis.
Detournay, C., Tan, C., and Wu, B. 2006. Modeling the Mechanismand Rate of Sand Production Using FLAC. In Numerical Modeling inGeomechanics--2006, ed. R. Hart and P. Varona, Paper No. 08-10.Minneapolis, Minnesota: Itasca Consulting Group.
Eriksen, J.H., Sanfilippo, F., Kvamsdal, A.L. et al. 1999.Orienting Live Well Perforating Technique Provides Innovative Sand ControlMethod in the North Sea. Presented at the SPE Annual Technical Conference andExhibition, Houston, 3-6 October. SPE-56472-MS. http://dx.doi.org/10.2118/56472-MS.
Haavind, F., Bekkelund, S.S., Moen, A. et al. 2008. ExperienceWith Chemical Sand Consolidation as a Remedial Sand-Control Option on theHeidrun Field. Presented at the SPE International Symposium and Exhibition onFormation Damage Control, Lafayette, Louisiana, USA, 13-15 February.SPE-112397-MS. http://dx.doi.org/10.2118/112397-MS.
Hall, C.D. Jr. and Harrisberger, W.H. 1970. Stability of SandArches: A Key to Sand Control. J Pet Technol 22 (7):821-829. SPE-2399-PA. http://dx.doi.org/10.2118/2399-PA.
Han G., Shepstone K., Harmawan I., Er U., Jusoh H., Lin L.S.,Pringle D., Koya R., Carney S., Barker L., Morita N., Papamichos E., Cerasi P.,Sayers C., Heiland J., Bruno M., and Diessl J.: Han, G., Shepstone, K.S.,Harmawan, I.S. et al. 2009. A Comprehensive Study of Sanding Rate From GasField: From Reservoir, Completion, Production, to Surface Facilities. Presentedat the SPE Annual Technical Conference and Exhibition, New Orleans, 4-7October. SPE-123478-MS. http://dx.doi.org/10.2118/123478-MS.
Kessler, N., Wang, Y., and Santarelli, F.J. 1993. A SimplifiedPseudo 3D Model To Evaluate Sand Production Risk in Deviated Cased Holes.Presented at the SPE Annual Technical Conference and Exhibition, Houston, 3-6October. SPE-26541-MS. http://dx.doi.org/10.2118/26541-MS.
Nouri, A., Vaziri, H.H., Belhaj, H.A. et al. 2007.Comprehensive Transient Modeling of Sand Production in Horizontal Wellbores.SPE J. 12 (4): 468-474. SPE-84500-PA. http://dx.doi.org/10.2118/84500-PA.
Palmer, I., Vaziri, H., Willson, S. et al. 2003. Predicting andManaging Sand Production: A New Strategy. Presented at the SPE Annual TechnicalConference and Exhibition, Denver, Colorado, USA, 5-8 October. SPE-84499-MS. http://dx.doi.org/10.2118/84499-MS.
Papamichos, E. and Malmanger, E.M. 2001. A Sand-Erosion Modelfor Volumetric Sand Predictions in a North Sea Reservoir. SPE Res Eval &Eng 4 (1): 44-50. SPE-69841-PA. http://dx.doi.org/10.2118/69841-PA.
Papamichos, E. and Stavropoulou, M. 1996. An Erosion-MechanicalModel for Sand Production Rate Prediction. International Journal of RockMechanics and Mining Sciences and Geomechanics Abstracts 35(4): 531-532. http://dx.doi.org/10.1016/s0148-9062(98)00106-5.
Sanfilippo, F., Brignoli, M., Giacca, D. et al. 1997. SandProduction: From Prediction to Management. Presented at the SPE EuropeanFormation Damage Conference, The Hague, 2-3 June. SPE-38185-MS. http://dx.doi.org/10.2118/38185-MS.
Sanfilippo, F., Ripa, G., Brignoli, M. et al. 1995. EconomicalManagement of Sand Production by a Methodology Validated on an ExtensiveDatabase of Field Data. Presented at the SPE Annual Technical Conference andExhibition, Dallas, 22-25 October. SPE-30472-MS. http://dx.doi.org/10.2118/30472-MS.
Stein, N. and Hilchie, D.W. 1972. Estimating the MaximumProduction Rate Possible from Friable Sandstones Without Using Sand Control.J Pet Technol 24 (9): 1157-1160. SPE-3499-PA. http://dx.doi.org/10.2118/3499-PA.
van den Hoek, P.J. and Geilikman, M.B. 2003. Prediction of SandProduction Rate in Oil and Gas Reservoirs. Presented at the SPE AnnualTechnical Conference and Exhibition, Denver, 5-8 October. SPE-84496-MS. http://dx.doi.org/10.2118/84496-MS.
Veeken, C.A.M., Davies, D.R., Kenter, C.J. et al. 1991. SandProduction Review: Developing an Integrated Approach. Presented at the SPEAnnual Technical Conference and Exhibition, Dallas, 6-9 October. SPE-22792-MS.http://dx.doi.org/10.2118/22792-MS.
Wang, J., Wan, R.G., Settari, A. et al. 2005. Prediction ofVolumetric Sand Production and Wellbore Stability Analysis of a Well atDifferent Completion Schemes. Presented at the 40th U.S. Rock MechanicsSymposium (Alaska Rocks 2005): Rock Mechanics for Energy, Mineral andInfrastructure Development in the Northern Regions, Anchorage, 25-29 June.
Wang, Y. and Xue, S. 2002. Coupled Reservoir-Geomechanics ModelWith Sand Erosion for Sand Rate and Enhanced Production Prediction. Presentedat the International Symposium and Exhibition on Formation Damage Control,Lafayette, Louisiana, USA, 20-21 February. SPE-73738-MS. http://dx.doi.org/10.2118/73738-MS.
Watson, K. and Jones, C. 2009. FEA Modelling of Expandable SandScreens Interactions with Rock Formations. Presented at the 2009 SIMULIACustomer Conference (SCC2009), London, 18-21 May.
Weissenburger, K.W., Morita, N., Martin, A.J. et al. 1987. TheEngineering Approach to Sand Production Prediction. Presented at the SPE AnnualTechnical Conference and Exhibition, Dallas, 27-30 September. SPE-16892-MS. http://dx.doi.org/10.2118/16892-MS.
Zhang, J., Standifird, W.B., and Shen, X. 2007. OptimizedPerforation Tunnel Geometry, Density and Orientation To Control SandProduction. Presented at the European Formation Damage Conference,Scheveningen, The Netherlands, 30 May-1 June. SPE-107785-MS. http://dx.doi.org/10.2118/107785-MS.