A Comprehensive Computational Framework for Long Term Forecasting on Serious Wellbore Damage and Ground Surface Subsidence Induced by Oil and Gas Reservoir Depletion
- Ruijie Liu (Department of Mechanical Engineering, University of Texas at San Antonio) | Zhijun Liu (Department of Mechanical Engineering, University of Texas at San Antonio)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Simulation Conference, 20-22 February, Montgomery, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 5.3.4 Integration of geomechanics in models, 5 Reservoir Desciption & Dynamics, 5.3 Reservoir Fluid Dynamics
- Cap Plasticity, creeping, Reservoir Compaction, subsidence, wellbore damage
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Depletion of oil and gas reservoirs results in ground surface subsidence and wellbore damage. Accurate prediction of subsidence and wellbore damage can provide a strong support to reservoir management and community precaution on subsidence impact. For reservoirs with soft rock formations, depletion-induced reservoir compaction results in serious damage and permanent deformation of rock formation. Cap plasticity models are crucial to achieve a more reliable prediction on the compaction of reservoirs with soft rocks. In this study, we develop a fully coupled and fully implicit finite element framework along with cap plasticity models for modeling the compaction of reservoirs with soft formations undergoing finite deformation. Creep models are also formulated with cap plasticity models for predicting the long-term effect of reservoir compaction. A material integrator for stress return mapping for both plasticity and creep models is consistently formulated to achieve fast convergent rates. A reservoir compaction model with three horizontal production wells and a wellbore damage model are solved using the proposed computational framework as well as cap and creep models with parameters obtained from field tests. We have demonstrated: 1) a good performance of the proposed computational framework in modeling the compaction of soft rock reservoirs with complex payzone geometries; and 2) the predicted subsidence with cap plasticity models could be seven times greater than linear elastic or plasticity models without caps.
|File Size||1 MB||Number of Pages||12|
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