A geomechanical model calibrated to field data can be used to analyse the potentially severe impact of reservoir compaction on production. However, field data acquisition programmes can be expensive, and optimal reservoir monitoring design necessitates an understanding of reservoir dynamics. Forward geomechanical models can help establishing the appropriate field data gathering approach while reducing expenses and maximising value for model calibration. Significant reservoir compaction and surface subsidence have potential risks for fault reactivation, integrity of wells and surface facilities. This paper presents an integrated approach and workflow that combines geomechanically derived data, reservoir geometry and production data to predict reservoir compaction and surface subsidence throughout the life of the field. The results provide an essential understanding on the dynamics of production induced changes in effective stresses and formation mechanical properties and their impacts on the field development planning, risks mitigation and provision of contingencies for well construction and downhole and surface field monitoring requirements.
[1]
H. Hassan,et al.
Compaction and Subsidence Assessment to Optimize Field Development Planning for an Oil Field in Sultanate of Oman
,
2018,
Day 3 Wed, November 14, 2018.
[2]
Michael S. Bruno,et al.
Casing Shear: Causes, Cases, Cures
,
2001
.
[3]
Russell T. Ewy,et al.
WELLBORE-STABILITY PREDICTIONS BY USE OF A MODIFIED LADE CRITERION
,
1999
.
[4]
Larry G. Mastin,et al.
Well bore breakouts and in situ stress
,
1985
.
[5]
J. Geertsma,et al.
Land subsidence above compacting oil and gas reservoirs
,
1973
.
[6]
Oliver Heidbach,et al.
World Stress Map Database Release 2016
,
2016
.