Abstract

Abstract Wellbore stability analysis is becoming a necessary tool to improve operational economy and to avoid wellbore problems. Essential elements here are estimation of critical fracturing and collapse pressures to obtain an optimal mud weight window. The input data for this analysis is mainly pore pressure predictions from many sources like logs and drilling exponents, overburden stresses from logs or drilled cuttings, leak-off tests at casing shoes and breakout analysis from caliper logs. From these and other data, estimates for in-situ stresses and directions are obtained, which again serves as input for wellbore stability modeling. It is evident that the input data comes from many different sources and can therefore not be considered consistent. During wellbore stability modeling it has often been observed that unrealistic results appear. Sometimes one observes a critical collapse pressure that exceeds the fracturing pressure, clearly a faulty result. These results are often ignored. However, there must be an inherent error in some of the input data. This paper addresses this problem and concludes that the relative magnitudes of the in-situ stresses are the main cause of this. Equations are given that defines the bounds on the in-situ stresses for different stress regimes. Using the bounds on the horizontal in-situ stresses on field cases, realistic fracturing and collapse prognosis are always obtained. Since the models also define the minimum permissible anisotropic stress state, these can be used as default parameters when field data are missing. A field case from the North Sea demonstrates the application of the stress bounds, and shows that prognosis are obtained that better corresponds to observed behavior of the wells.

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