Flow diagnostics for naturally fractured reservoirs

被引:7
|
作者
Spooner, Victoria [1 ]
Geiger, Sebastian [1 ]
Arnold, Dan [1 ]
机构
[1] Heriot Watt Univ, Inst Petr Engn, Edinburgh EH14 4AS, Midlothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
SIMULATION; MATRIX;
D O I
10.1144/petgeo2018-136
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Reliable production forecasting for fractured carbonate reservoirs is a challenge. Natural fractures, adverse wettability and complex matrix heterogeneity are all uncertain and can all negatively impact upon recovery. Ideally, we should consider different reservoir concepts encapsulated in a large ensemble of reservoir models to quantify the impact of these and other geological uncertainties on reservoir performance. However, the computational cost of considering many scenarios can be significant, especially for dual porosity/permeability models, rendering robust uncertainty quantification impractical for most asset teams. Flow diagnostics provide a complement to full-physics simulations for comparing models. Flow diagnostics approximate the dynamic response of the reservoir in seconds. In this paper we describe the extension of flow diagnostics to dual porosity models for naturally fractured reservoirs. Our new diagnostic tools link the advective time of flight in the fractures to the transfer from the matrix, identifying regions where transfer and flux are not in balance leading to poor matrix oil sweep and early breakthrough. Our new diagnostics tools have been applied to a real field case and are shown to compare well with full-physics simulation results.
引用
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页码:490 / 500
页数:11
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