Applying geostatistical approach to predict Geomechanic parameters and applying SandPitD model to predict sand production for a production well in Nam Con Son basin

  • Ta Quoc Dung
  • Le The Ha
  • Nguyen Tien Dat
Keywords: Geostatistics, Variogram, Kriging, geomechanical model, SandpitD, Nam Con Son basin

Abstract

The paper applies the geostatistical approach to predict geomechanical parameters for a production well in the Nam Con Son basin. The results of the geomechanical model will be used to evaluate the sand production ability of the well according to the shear stress calculation model of S. M. Wilson based on the Mohr-Coulomb standard. The critical well bottom pressure for each reservoir pressure at different times is also calculated to provide a reasonable production regime in the reservoir management process.

References

1. Trương Xuân Luận. Lý thuyết địa thống kê. Đại học Mỏ - Địa chất.
2. Mohan Kelkar, GodofredoPerez. Applied geostatistics for reservoir characterization. Society of Petroleum Engineers. 2002.
3. Completion technology for unconsolidated formations. Rev. 2. 1995.
4. Abbas Khaksar, Philip Geoffrey Taylor, Zhi Fang, Toby John Kayes, Abraham Salazar, Khalil
Rahman. Rock strength from core and logs: Where we stand and ways to go. Europec/Eage Conference and Exhibition, Amsterdam, Netherlands. 8 - 11 June, 2009.
5. S.M.Willson, Z.A.Moschovidis, J.R.Cameron, I.D.Palmer. New model for predicting the rate of sand
production. SPE/ISRM Rock Mechanics Conference, Irving Texas. 20 - 23 October 2002.
6. Erling Fjaer, R.M.Holt, P.Horsrud, A.M.Raaen, R.Risnes. Petroleum related rock mechanics(2nd
edition). Developments in Petroleum Science. 2008.
7. Khalil Rahman, Abbas Khaksar, Toby Kayes. An integrated geomechanical and passive sand-control approach to minimizing sanding risk from openhole and cased-and-perforated wells. SPE Drilling & Completion. 2010; 25(2): p.155 - 167.
8. Gbenga Folorunso Oluyemi, M.Babs Oyeneyin. Analytical critical drawdown (CDD) failure model for real time sanding potential prediction based on hoek and brown failure criterion. Journal of Petroleum and Gas Engineering. 2010; 1(2): p. 16 - 27.
9. Michael J.Economides, Tony Martin. Modern fracturing - enhancing natural gas production. Energy Tribune Publishing. 2007.
10. Colin McPhee, Rick Lemanczyk, Lynne Morgan, Philip McCurdy, Derek Littlejohn, Gill Daniels, Juan Carlos Chavez. Appendix 1: Geomechanical models methods and procedures. 2007.
11. Jonathan Bellarby. Well completion design. Developments in Petroleum Science. 2009.
12. Michael J.Pyrcz, Clayton V.Deutsch. Geostatistical reservoir modeling. Oxford University Press. 2014.
Published
2019-04-29
How to Cite
Ta Quoc Dung, Le The Ha, & Nguyen Tien Dat. (2019). Applying geostatistical approach to predict Geomechanic parameters and applying SandPitD model to predict sand production for a production well in Nam Con Son basin. Petrovietnam Journal, 4, 39-50. https://doi.org/10.25073/petrovietnam journal.v4i0.253
Section
Articles