469324 Data-Driven Modeling of Gas Leakage from Shale Natural Gas Wells
A number of factors may cause poor cementing, which may lead to development of cracks and micro-channels in the cement, providing a continuous path for gas to migrate from the production zone to the well head (Nelson, 2006). The extent of gas leakage from the cemented annulus is measured by a parameter called Sustained Casing Pressure (SCP) which is simply the pressure exerted by gas in the cemented annulus at the well-head. In a previous case study that we conducted on a set of gas wells data, we developed linear models to identify factors causing high SCP (Wehrens, 2011). Although the linear models provided a reasonable approximation of the underlying cause-and-effect relationships, the model accuracy was somewhat restricted by nonlinearities existing in the process (Hastie et al., 2009). In this paper we present a nonlinear modeling approach to study underlying causes of high gas leakage. A number of data-driven nonlinear modeling approaches, revolving around dimensionality reduction, as well as model specifics will be included in the final presentation.
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.).
- Nelson, E. B. (2006). Well Cementing (2nd ed.).
- Wehrens, R. (2011). Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences. New York: Springer.
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