Selection of optimum bottom hole assembly configuration using steering prediction modeling

Today, the most common approach to directional bottom hole assembly (BHA) design is a pragmatic method in which decisions and judgments about the BHA's suitability, are based on previous experience. BHA dynamics and BHA tendency modeling tools are used occasionally. These tools have steadily improved by advancements in computational mechanics, and engineers have tried to make good use of the models, but the high expectations of their predictive value have often led to disappointments. The absence of a clear workflow has also hindered widespread use of the tendency models. In this study, we present an approach to use steering prediction modeling for rotary steerable system BHAs. More specifically, we demonstrate how these fast numerical models can be useful for optimum BHA selection, which enables the highest chance of drilling success. As a result, we report how the presented methodology is exercised to select the most appropriate BHA from a list of candidates, considering its mechanical characteristics and fitness for a given well plan.