[CCoE Notice] Thesis Defense: Well Integrity Mapping using Data Driven Hybrid Model based on Physics of Failure & Sensory Data

[Grayson, Audrey A]

Well Integrity Mapping using Data Driven Hybrid Model based on Physics of Failure & Sensory Data




Bibek Das

Master of Science in Petroleum Engineering  Thesis Defense



Defense Date: Thursday, April 27th 2017 Time: 2:30 pm Location Room: N137 Engineering 1

Committee Members: Dr. C. Ehlig-Economides, Dr. C. Vipulanandan, Dr. R. Samuel


            Presence of H2S in high pressure and high temperature wells can lead to strength reduction of casing strings and advance the time to failure.  Casing strings also get damaged during drilling. The objective of this study is to develop a hybrid model based on Physics of failure and data driven algorithms that can estimate remaining useful life of production casing in high pressure, high temperature and sour well conditions. A unique degradation modeling and prognostics framework and analysis are presented in this study. A simulation tool is built for the analysis. The production casing undergoes reduction in strength due to wear, stress and hydrogen induced cracking. The failure probability of reduced strength of casing changes with time. The remaining useful life is calculated for the depth of interest and time along with confidence intervals. The model can be expanded later to include actual test or monitored well data.




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