Root cause of sand production and methodologies for prediction

Surej Kumar Subbiah , Arifin Samsuri , Assef Mohamad-Hussein , Mohd Zaidi Jaafar , Ying Ru Chen , Rajeev Ranjan Kumar

Petroleum ›› 2021, Vol. 7 ›› Issue (3) : 263 -271.

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Petroleum ›› 2021, Vol. 7 ›› Issue (3) :263 -271. DOI: 10.1016/j.petlm.2020.09.007
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Root cause of sand production and methodologies for prediction
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Abstract

The consequences of sandstone reservoir rock failure may lead to sand production. This phenomenon can have negative impact on lifting cost and economic of any field development. Metal erosion due to sanding can lead to loss of integrity and hydrocarbon leakage. Poor decision on the type of completion can risk the viability of the field. To facilitate best sand management over the life of a field and to maintain economical productivity, accurate prediction of sand production volume/rates is needed to increase both productivity and the ultimate recovery of the hydrocarbon while keeping the operating cost low. This paper summarizes the sand production modeling for onset and volume of sand namely technology that required to improve understanding on sand production and mitigation. Three main questions will be answered, why industry needs to worry about sand production, what are the available technologies to predict sanding volume/rates finally, how the current technologies can be improved to estimate sand production volume/rates.

Keywords

Sand production / Sanding rates / Geomechanics / Sand control / Constitutive model / Failure criteria

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Surej Kumar Subbiah, Arifin Samsuri, Assef Mohamad-Hussein, Mohd Zaidi Jaafar, Ying Ru Chen, Rajeev Ranjan Kumar. Root cause of sand production and methodologies for prediction. Petroleum, 2021, 7(3): 263-271 DOI:10.1016/j.petlm.2020.09.007

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Declaration of competing interest

The authors declare that they have no conflict of interests.

References

[1]

Surej Kumar Subbiah, Graven Lex, Hilbrand,An innovative approach for sand management with downhole validation, Proc., SPE International Symposium and Exhibition on Formation Damage Control (2014) 15, https://doi.org/10.2118/SPE-168178-MS. February 26, 2014, SPE-168178-MS.

[2]

J. Fuller, J.M. Cook, S.K. Subbiah, L. De Groot, H. Graven, Balancing productivity and sanding risk in weak sandstones through a size dependent approach, Proc., 51st US Rock Mechanics/Geomechanics Symposium 28 (2017) (2017) 11. ARMA-2017-0600.

[3]

Ricky J. Amarmentor, Michael R. Wise Wise, Mike Bowman, Gustavo Cavazzoli, Gildas Collin, Vincent Rodet, et al., Regaining Sand Control. Oilfield Review, Schlumberger, Vol. Summer 2007, 2007.

[4]

J. Carlson, D. Gurley, George King, C. Price-Smith, F. Waters, Sand Control: Why and How? Oilfield Review, Schlumberger, vol. 4, 1992.

[5]

Andrew Acock, Tom ORourke, Daniel Shirmboh, Joe Alexander,Practical Approaches to Sand Management. Oilfield Review, Schlumberger, Spring, 2004.

[6]

Surej Kumar Subbiah,Estimation of Sand Production Volume and Rate of Sandstone Reservoir Using Combined Finite and Discrete element Methods PhD Thesis Proposal Defense, Universiti Teknologi Malaysia, 2018.

[7]

Xiuli Wang, Sand management and sand control, J. Petrol. Technol. 69 (10) (2017) pubs.spe.org/en/jpt/jpt-article-detail/?art=3407.

[8]

Joanne Liou, Keeping sand at bay, Drill. Contract.Vol. 70 (2014). United States: https://www.drillingcontractor.org/keeping-sand-at-bay-27871.

[9]

Viggo Tvergaard, Material failure by void growth to coalescence, in:John W. Hutchinson (Ed.), Advances in Applied Mechanics, Theodore Y. Wu, vol. 27, Elsevier, 1989, pp. 83-151.

[10]

M. Souley, N. Lafrance, C. Auvray, V. Labiouse, T. Belem, An elastoplastic and viscoplastic model for porous geomaterials, Proc., ISRM International Symposium -EUROCK 2016, January vol. 1 (2016) 6. ISRM-EUROCK-2016-075.

[11]

J. Desroches, T.E. Woods, Stress measurements for sand control, Proc., SPE/ISRM Rock Mechanics in Petroleum Engineering, January 1 (1998) 10, https://doi.org/10.2118/47247-MS.SPE-47247-MS.

[12]

Alireza Nouri, Hans Vaziri, Hadi Belhaj, Rafiqul Islam, A comprehensive approach to modeling sanding during oil production, Proc., SPE Latin American and Caribbean Petroleum Engineering Conference, January 1 (2003) 7, https://doi.org/10.2118/81032-MS.

[13]

Erling Fjaer R.M. Holt A.M. Raaen R. Risnes P. Horsrud, Petroleum Related Rock Mechanics, in: Developments in Petroleum Science, 2 edition, vol. 33, Elsevier Science Publishers B.V, Amsterdam, The Netherlands, 2008.

[14]

M.R. Awal, M. Azeemuddin, M.S. Khan, A. Abdulraheem, M.A. Mohiuddin,A more realistic sand production prediction using pore collapse theory, Proc., DC Rocks 1 (2001) 2001. The 38th US Symposium on Rock Mechanics (USRMS), January, ARMA-01-0035.

[15]

Nouri Alireza, Vaziri Hans, Belhaj Hadi, Rafiqul Islam, Effect of volumetric failure on sand production in oil-wellbores. Proc., SPE Asia Pacific Oil and Gas Conference and Exhibition, January 1, 2003, 2003, https://doi.org/10.2118/80778-MS. SPE-80448-MS.

[16]

E.D. Nicholson, G. Goldsmith, J.M. Cook, Direct observation and modeling of sand production processes in weak sandstone, Proc., SPE/ISRM Rock Mechanics in Petroleum Engineering, January 1 (1998) 10, https://doi.org/10.2118/47328-MS. SPE-47328-MS.

[17]

G. Han, M.B. Dusseault, J. Cook, Quantifying rock capillary strength behavior in unconsolidated sandstones. Proc., SPE/ISRM rock mechanics conference, January 1 (2002) 10, https://doi.org/10.2118/78170-MS.SPE-78170-MS.

[18]

David L. Tiffin, Michael H. Stein, Xiuli Wang, Drawdown Guidelines for Sand Control Completions, 2003, https://doi.org/10.2118/84495-MS.

[19]

Ian Palmer, Hans Vaziri, Stephen Willson, Zissis Moschovidis, John Cameron, Ion Ispas, Predicting and Managing Sand Production: A New Strategy, 2003, https://doi.org/10.2118/84499-MS.

[20]

Hans Vaziri, Bob Barree, Yuxing Xiao, Ian Palmer, Mike Kutas, What is the magic of water in producing sand? Proc, SPE Annual Technical Conference and Exhibition, January 1 (2002) 2002, https://doi.org/10.2118/SPE-77683-MS. SPE-77683-MS.

[21]

Andrew Acock N. Heitmann S. Hoover B.Z. Malik E. Pitoni C. Riddles, et al., Screenless methods to control sand, Oilfield Review, Schlumberger Vol. 15 (2003).

[22]

C.A.M. Veeken, D.R. Davies, C.J. Kenter, A.P. Kooijman, Sand Production Prediction Review: Developing an Integrated Approach, 1991.

[23]

Rolf K. Bratli, Rasmus Risnes, Stability and Failure of Sand Arches (in en), Soc. Petrol. Eng. J. 21 (2) (1981) 236-248, https://doi.org/10.2118/8427-PA.

[24]

N. Morita, D.L. Whitfill, O.P. Fedde, T.H. Levik, Parametric Study of Sand-Production Prediction: analytical Approach (in en), SPE Prod. Eng. 4 (1) (1989) 25-33.

[25]

H.H. Vaziri, Theoretical analysis of stress, pressure, and formation damage during production, J. Can. Petrol. Technol. 27 (6) (1988) 8.

[26]

J.S. Weingarten, T.K. Perkins, Prediction of Sand Production in Gas Wells: Methods and Gulf of Mexico Case Studies, 1995, https://doi.org/10.2118/SPE-24797-PA. SPE-24797-PA.

[27]

P.J. van den Hoek, G.M.M. Hertogh, A.P. Kooijman, Ph de Bree, C.J. Kenter, E. Papamichos, A New Concept of Sand Production Prediction: Theory and Laboratory Experiments, 2000, https://doi.org/10.2118/SPE-65756-PA. SPE-65756-PA.

[28]

N. Morita, D.L. Whitfill, I. Massie, T.W. Knudsen, Realistic Sand-Production Prediction: numerical Approach (in en), SPE Prod. Eng. 4 (1) (1989) 15-24, https://doi.org/10.2118/16989-PA.

[29]

D. Okland, B. Plischke, Perforation stability analysis as a tool for predicting sand production: application for the brage field, Proc., European Production Operations Conference and Exhibition, January 1 (1996) 8, https://doi.org/10.2118/SPE-35552-MS. SPE-35552-MS.

[30]

Saman Azadbakht, Mahshid Jafarpour, Hossein Rahmati, Alireza Nouri, Hans Vaziri, Dave Chan, A numerical model for predicting the rate of sand production in injector wells, Proc., SPE Deepwater Drilling and Completions Conference, January 1 (2012) 2012, https://doi.org/10.2118/156394-MS. SPE-156394-MS.

[31]

Sung Hyun Kim, Sharma, Mani Mukul,Harvey J. Fitzpatrick, A predictive model for sand production in poorly consolidated sands, Proc., International Petroleum Technology Conference, January 1 (2011) 2011, https://doi.org/10.2523/IPTC-15087-MS. IPTC-15087-MS.

[32]

Panos C. Papanastasiou, Ioannis G. Vardoulakis, Numerical treatment of progressive localization in relation to borehole stability, Int. J. Numer. Anal. Methods GeoMech. 16 (6) (1992) 389-424.

[33]

I. Vardoulakis, M. Stavropoulou, P. Papanastasiou, Hydro-mechanical aspects of the sand production problem (in en), Transport Porous Media 22 (2) (1996) 225-244, https://doi.org/10.1007/BF01143517.

[34]

Rasmus Risnes, Rolf K. Bratli, Horsrud Per, Sand Arching -A Case Study, 1982, https://doi.org/10.2118/12948-MS.

[35]

Dale S. Preece, Richard P. Jensen, Eric D. Perkins, John R. Williams, Sand production modeling using superquadric discrete elements and coupling of fluid flow and particle motion. Proc., Vail Rocks 1999, the 37th US Symposium on Rock Mechanics (USRMS), 1999-01-01, 1999.

[36]

F. Sanfilippo, G. Ripa, M. Brignoli, F.J. Santarelli, Economical Management of Sand Production by a Methodology Validated on an Extensive Database of Field Data, 1995, https://doi.org/10.2118/30472-MS.

[37]

J. Tronvoll, E. Fjær, Experimental study of sand production from perforation cavities, Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 31 (5) (1994) 393-410.

[38]

Natalia Climent, Marcos Arroyo,Catherine O’Sullivan, Gens, Antonio, Sand production simulation coupling DEM with CFD, European Journal of Environmental and Civil Engineering 18 (2014).

[39]

Ali Ghassemi, Ali Pak, Numerical simulation of sand production experiment using a coupled Lattice BoltzmanneDiscrete Element Method, J. Petrol. Sci. Eng. 135 (2015) 218-231.

[40]

Alireza Nouri, Hans H. Vaziri, Hadi A. Belhaj M. Islam, Rafiqul, Sand-Production Prediction: A New Set of Criteria for Modeling Based on Large-Scale Transient Experiments and Numerical Investigation, 2006, https://doi.org/10.2118/90273-PA. SPE-90273-PA.

[41]

Papamichos Euripides, Sand production: physical and experimental evidence, Rev. Eur. Génie Civ. 10 (6-7) (2006) 803-816, https://doi.org/10.3166/regc.10.803-816.

[42]

D. Antheunis, P.B. Vriezen, B.A. Schipper, A.C. Van der Vlis, Perforation Collapse: Failure of Perforated Friable Sandstones. 1976, 1976, https://doi.org/10.2118/5750. SPE-5750.

[43]

C.D. Hall Jr., W. H. Harrisberger, Stability of sand arches: a key to sand control, J. Petrol. Technol. 22 (7) (1970) 821-829, https://doi.org/10.2118/2399-PA.

[44]

R.P. Nordgren, Strength of well completions, Proc., The 18th US Symposium on Rock Mechanics (USRMS), January 1 (1977) 1977. ARMA-77-0236.

[45]

Rasmus Risnes, Rolf K. Bratli, Horsrud per. sand stresses around a wellbore, Soc. Petrol. Eng. J. 22 (6) (1982) 883-898, https://doi.org/10.2118/9650-pa.

[46]

S.M. Willson, Z.A. Moschovidis, J.R. Cameron, I.D. Palmer, New Model for Predicting the Rate of Sand Production, 2002, https://doi.org/10.2118/78168-MS.

[47]

Papanastasiou, Panos. Jun 27, Cavity Stability Prediction Method for Wellbores. Great Britian, United States and Norway Patent No. US7066019B1, 2006.

[48]

Surej Kumar Subbiah, Christian Burgstaller, John Fuller, Erik Wielemaker, Wolfdietrich Jilg, Solving completion options for underground gas storage through geomechanics, Proc., SPE Eastern Regional/AAPG Eastern Section Joint Meeting, January 1 (2008) 9, https://doi.org/10.2118/116409-MS. SPE-116409-MS.

[49]

Panos Papanastasiou M. Thiercelin, Modeling borehole and perforation collapse with the capability of predicting the scale effect, Int. J. GeoMech. 11 (4) (2011) 286-293. http://doi.org/10.1061/(ASCE)GM.1943-5622.0000013.

[50]

M.B. Geilikman, M.B. Dusseault, F.A. Dullien, Sand production as a viscoplastic granular flow, Proc., SPE Formation Damage Control Symposium, January 1 (1994) 10, https://doi.org/10.2118/27343-MS. SPE-27343-MS.

[51]

M. Stavropoulou, P. Papanastasiou, I. Vardoulakis, Coupled wellbore erosion and stability analysis, Int. J. Numer. Anal. Methods GeoMech. 22 (9) (1998) 749-769, https://doi.org/10.1002/(SICI)1096-9853(199809)22:9<749::AIDNAG944>3.0.CO;2-K.

[52]

A. Skjaerstein, M. Stavropoulou, I. Vardoulakis, J. Tronvoll,Hydrodynamic erosion; A potential mechanism of sand production in weak sandstones, 292.e1 -292, Int. J. Rock Mech. Min. Sci. 34 (3) (1997), https://doi.org/10.1016/S1365-1609(97)00190-1.e18.

[53]

Johan Tronvoll E. Papamichos, Perforation cavity stability: investigation of failure mechanisms, International Symposium on Geotechnical Engineering of Hard SoilsdSoft Rock (1993) 1687-1693.

[54]

Giorgio Volonté, Francesco Scarfato, Marco Brignoli, Sand prediction: a practical finite-element 3D approach for real field applications (in English), SPE Prod. Oper. 28 (1) (2013) 95-108, https://doi.org/10.2118/134464-PA.

[55]

Mohamad-Hussein, Ni Assef, Qinglai, Numerical modeling of onset and rate of sand production in perforated wells (in en), Journal of Petroleum Exploration and Production Technology 8 (2018) 1255-1271, https://doi.org/10.1007/s13202-018-0443-6.

[56]

Daniel Garolera, Ignacio Carol, Panos Papanastasiou, Application of zerothickness interface elements to sanding prediction analysis, J. Petrol. Sci. Eng. 190 (2020) 107052, https://doi.org/10.1016/j.petrol.2020.107052.

[57]

P.A. Cundall, A computer model for simulating progressive large scale movements in blocky rock systems. Symposium on Rock Fracture (ISRM), Nancy, France, 1971.

[58]

O’Connor ’i M. Ruaidhr, John R. Torczynski, Dale S. Preece, Justin T. Klosek, John R. Williams,Discrete element modeling of sand production, 231.e1 -231, Int. J. Rock Mech. Min. Sci. 34 (3) (1997), https://doi.org/10.1016/S1365-1609(97)00198-6. e15.

[59]

R.P. Jensen, D.S. Preece, Modeling of sand production with Darcy ׳s flow coupled with discrete elements, Proc., Proceedings of the 10th International Conference on Computer Methods and Advances in Geomechanics, Tucson 2 (2001). Computer Methods and Advances in Geomechanics.

[60]

Siwa Tipthavonnukul, Numerical Simulation of Granular Particle Movement in Fluid Flow, MSc Thesis, University of Alberta, 2002, https://doi.org/10.7939/r3w08wt5w.

[61]

L. Li, R.M. Holt, Particle scale reservoir mechanics, Oil & Gas Science and Technology -Rev IFP 57 (5) (2002) 525-538, https://doi.org/10.2516/ogst:2002035.

[62]

L. Li, E. Papamichos, P. Cerasi, Investigation of sand production mechanisms using DEM with fluid flow. Proc., Eurock ’06. Proceedings of the International Symposium of the International Society for Rock Mechanics, 2006. Eurock’06.

[63]

L.Y.G. Cheung, Micromechanics of Sand Production in Oil WellsPhD Thesis, Imperial College London, 2010.

[64]

Z.Y. Zhou, A.B. Yu, S.K. Choi, Numerical simulation of the liquid-induced erosion in a weakly bonded sand assembly, Powder Technol. 211 (2) (2011) 237-249, https://doi.org/10.1016/j.powtec.2011.04.029.

[65]

Yanhui Han, Peter A. Cundall, LBMeDEM modeling of fluidesolid interaction in porous media, Int. J. Numer. Anal. Methods GeoMech. 37 (10) (2012) 1391-1407, https://doi.org/10.1002/nag.2096.

[66]

Yanhui Han, Peter Cundall, Verification of two-dimensional LBM-DEM coupling approach and its application in modeling episodic sand production in borehole, Petroleum 3 (2) (2017) 179-189, https://doi.org/10.1016/j.petlm.2016.07.001.

[67]

Surej Kumar Subbiah, Wellbore Instability and Sand Production Studies by Physical Modeling, MEng Thesis, Universiti Teknologi Malaysia, Skudai,Johor Malaysia, 1998. http://eprints.utm.my/id/eprint/44317/.

[68]

A. Munjiza, The Combined Finite-Discrete Element Method, Wiley, Hoboken, NJ, 2004.

[69]

A. Munjiza, K.R.F. Andrews, NBS contact detection algorithm for bodies of similar size, Int. J. Numer. Methods Eng. 43 (1) (1998) 131-149, https://doi.org/10.1002/(SICI)1097-0207(19980915)43:1.

[70]

N. Bicanic, A. Munjiza, D.R.J. Owen, A combined finite-discrete element method in transient dynamics of fracturing solids, Eng. Comput. 12 (2) (1995) 145-174, https://doi.org/10.1108/02644409510799532.

[71]

B.S.A. Tatone, G. Grasselli, A calibration procedure for two-dimensional laboratory-scale hybrid finite-discrete element simulations, Internaltional Journal of Rock Mechanics and Mining Sciences 75 (2015) 56-72, https://doi.org/10.1016/j.ijrmms.2015.01.011.

[72]

Guo Ning, Zhao Jidong, Multiscale insights into classical geomechanics problems, Int. J. Numer. Anal. Methods GeoMech. 40 (3) (2015) 367-390, https://doi.org/10.1002/nag.2406.

[73]

Guo Ning, Zhao Jidong, A coupled FEM/DEM approach for hierarchical multiscale modelling of granular media, Int. J. Numer. Methods Eng. 99 (11) (2014) 789-818, https://doi.org/10.1002/nme.4702.

[74]

C. Yan, H. Zheng, G. Sun, X. Ge, Combined Finite-Discrete Element Method for Simulation of Hydraulic Fracturing. Rock Mechanics and Rock Engineering, 2015, https://doi.org/10.1007/s00603-015-0816-9.

[75]

A.B. Lisjak, Q. Liu, O.K. Mahabadi, G. Grasselli, Numerical simulation of acoustic emission in brittle rocks by two-dimensional finite-discrete element analysis, Geophys. J. Int. 195 (2013) 423-443, https://doi.org/10.1093/gji/ggt221.

[76]

Wu Huanran, Zhao Jidong, Guo Ning, Multiscale insights into borehole instabilities in high-porosity sandstones, 0, J. Geophys. Res.: Solid Earth (0) (2017), https://doi.org/10.1029/2017JB015366.

[77]

Huanran Wu, Ning Guo, Jidong Zhao, Borehole Instabilities in Granular Rocks Revisited: A Multiscale Perspective, in: Bifurcation and Degradation of Geomaterials with Engineering Applications, vols. 433-439, 2017, https://doi.org/10.1007/978-3-319-56397-8_54.

[78]

Huanran Wu, Ning Guo, Jidong Zhao, Multiscale modeling and analysis of compaction bands in high-porosity sandstones, Acta Geotechnica 13 (3) (2018) 575-599, https://doi.org/10.1007/s11440-017-0560-2.

[79]

Hossein Rahmati, Micromechanical Study of Borehole Breakout Mechanism, PhD Thesis, University of Alberta, Alberta, 2013, https://doi.org/10.7939/R3ZM48

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