166
Views
1
CrossRef citations to date
0
Altmetric
Drilling/Production

Coupled reservoir geomechanics with sand production to minimize the sanding risks in unconsolidated reservoirs

ORCID Icon, ORCID Icon &

References

  • Abbas, A. K., H. A. Baker, R. E. Flori, H. Al-Hafadhi, and N. Al-Haideri. 2019. Practical approach for sand-production prediction during production. 53rd US Rock Mechanics/Geomechanics Symposium.
  • Al-Ajmi, A. M., and R. W. Zimmerman. 2006. Stability analysis of vertical boreholes using the Mogi–Coulomb failure criterion. International Journal of Rock Mechanics and Mining Sciences 43 (8):1200–11. doi:https://doi.org/10.1016/j.ijrmms.2006.04.001.
  • Alam, J., R. Chatterjee, and S. Dasgupta. 2019. Estimation of pore pressure, tectonic strain and stress magnitudes in the Upper Assam basin: A tectonically active part of India. Geophysical Journal International 216 (1):659–75. doi:https://doi.org/10.1093/gji/ggy440.
  • Alam, J., T. Gogoi, and R. Chatterjee. 2021. Geomechanical characterization of subsurface formations with stress rotation in Assam Gap, Northeast India. Journal of Earth System Science 130 (3):1–14. doi:https://doi.org/10.1007/s12040-021-01640-z.
  • Ashoori, S., M. Abdideh, M. T. Hayavi, and O. Branch. 2014. Prediction of critical flow rate for preventing sand production using the Mogi-Coulomb failure criterion. Science International 26 (5):2029–32.
  • Das, B., and R. Chatterjee. 2017. Wellbore stability analysis and prediction of minimum mud weight for few wells in Krishna-Godavari Basin. International Journal of Rock Mechanics and Mining Sciences 93:30–7. doi:https://doi.org/10.1016/j.ijrmms.2016.12.018.
  • Dasgupta, S., R. Chatterjee, and S. P. Mohanty. 2016a. Magnitude, mechanisms, and prediction of abnormal pore pressure using well data in the Krishna–Godavari Basin, east coast of India. AAPG Bulletin 100 (12):1833–55. doi:https://doi.org/10.1306/05131615170.
  • Dasgupta, S., R. Chatterjee, and S. P. Mohanty. 2016b. Prediction of pore pressure and fracture pressure in Cauvery and Krishna-Godavari basins, India. Marine and Petroleum Geology 78:493–506. doi:https://doi.org/10.1016/j.marpetgeo.2016.10.004.
  • Eaton, B. A. 1975. The equation for geopressure prediction from well logs. Fall Meeting of the Society of Petroleum Engineers of AIME. doi:https://doi.org/10.2118/5544-MS.
  • Edimann, K., J. M. Somerville, B. G. D. Smart, S. A. Hamilton, and B. R. Crawford. 1998. Predicting rock mechanical properties from wireline porosities. SPE/ISRM Rock Mechanics in Petroleum Engineering. doi:https://doi.org/10.2118/47344-MS.
  • Hadi, F., A. Eckert, and F. Almahdawi. 2019. Real-time pore pressure prediction in depleted reservoirs using regression analysis and artificial neural networks. SPE Middle East Oil and Gas Show and Conference. doi:https://doi.org/10.2118/194851-MS.
  • Hadi, F., R. Nygaard, and S. Hilgedick. 2017. 5Probabilistic-Analysis of Deviated Wellbore Stability in Carbonate Formations of SE Iraq. 51 The American Rock Mechanics Association.
  • Hayavi, M. T., and A. Abedifar. 2017. A sensitivity study of relevant parameters on sand production in unconsolidated sandstone reservoirs. Journal of Petroleum and Gas Engineering 8 (7):49–59. doi:https://doi.org/10.5897/JPGE2016.0258.
  • Isehunwa, O. S., and O. Olanrewaju. 2010. A simple analytical model for predicting sand production in a Niger Delta oil field.
  • Junmano, T., B. Lee, G. Grant, P. Raipairi, N. Viriyasomboon, and N. Nopsiri. 2016. Sand production management the critical challenge in Zawtika gas production, 1–20. doi:https://doi.org/10.2523/IPTC-18839-MS.
  • Karthikeyan, G., J. Chand, and R. Chatterjee. 2020. Impact of geomechanics in coal bed methane development and production, Barakar coals in central India. Journal of Petroleum Science and Engineering 194:107515.
  • Kim, A. S., M. M. Sharma, and H. Fitzpatrick. 2012. A predictive model for sand production in poorly consolidated sands. Society of Petroleum Engineers - International Petroleum Technology Conference 2012, IPTC 2012, 3(February), 2668–2678. doi:https://doi.org/10.2523/IPTC-15087-MS.
  • Mondal, S., and R. Chatterjee. 2019. Quantitative risk assessment for optimum mud weight window design: A case study. Journal of Petroleum Science and Engineering 176:800–10. doi:https://doi.org/10.1016/j.petrol.2019.01.101.
  • Nygaard, R., G. Hareland. 2007. Application of rock strength in drilling evaluation. Latin American & Caribbean Petroleum… doi:https://doi.org/10.2118/106573-MS.
  • Olayiwola, S. O., and M. Dejam. 2020. Synergistic interaction of nanoparticles with low salinity water and surfactant during alternating injection into sandstone reservoirs to improve oil recovery and reduce formation damage. Journal of Molecular Liquids 317:114228. doi:https://doi.org/10.1016/j.molliq.2020.114228.
  • Osisanya, S. O. 2010. Practical guidelines for predicting sand production. Society of Petroleum Engineers - Nigeria Annual International Conference and Exhibition 2010, NAICE 1, 284–91. doi:https://doi.org/10.2118/136980-MS.
  • Ray, P., M. Rijken, J. Cameron, C. Jones, and A. El-Fayoumi. 2014. Estimating sand production volume in oil and gas reservoir. Proceedings - SPE Annual Technical Conference and Exhibition 4 (October), 3208–14. doi:https://doi.org/10.2118/170814-MS.
  • Singha, D. K., and R. Chatterjee. 2015. Geomechanical modeling using finite element method for prediction of in-situ stress in Krishna–Godavari basin. International Journal of Rock Mechanics and Mining Sciences 73:15–27. doi:https://doi.org/10.1016/j.ijrmms.2014.10.003.
  • Tixier, M. P., G. W. Loveless, and R. A. Anderson. 1975. Estimation of formation strength from the mechanical-properties log. Journal of Petroleum Technology 27 (03):283–93. doi:https://doi.org/10.2118/4532-PA.
  • Veeken, C. A. M., D. R. Davies, C. J. Kenter, and A. P. Kooijman. 1991. Sand production prediction review: Developing an integrated approach. SPE Annual Technical Conference and Exhibition. doi:https://doi.org/10.2118/22792-MS.
  • Wang, J., R. G. Wan, A. Settari, D. Walters, and Y. N. Liu. 2004. Sand production and instability analysis in a wellbore using a fully coupled reservoir-geomechanics model. Gulf Rocks 2004 - 6th North America Rock Mechanics Symposium, NARMS 2004.
  • Willson, S. M., Z. A. Moschovidis, J. R. Cameron, and I. D. Palmer. 2002. New model for predicting the rate of sand production. SPE/ISRM Rock Mechanics Conference. doi:https://doi.org/10.2118/78168-MS.
  • Yeow, L. M., Z. Johar, B. Wu, C. Tan, and M. A. Yaakub. 2004. Sand production prediction study using empirical and laboratory approach for a multi-field gas development. Proceedings of the SPE Asia Pacific Conference on Integrated Modelling for Asset Management, 57–70. doi:https://doi.org/10.2118/87004-MS.
  • Zhang, J. J. 2019. Applied petroleum geomechanics. Houston, TX: Gulf Professional Publishing. doi:https://doi.org/10.1016/C2017-0-01969-9.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.