(517h) Autonomous Monitoring of Wellbore Integrity Applying Time Reverse Nonlinear Elastic Wave Spectroscopy (TR NEWS) and Fiber Optic Sensing and Communication | AIChE

(517h) Autonomous Monitoring of Wellbore Integrity Applying Time Reverse Nonlinear Elastic Wave Spectroscopy (TR NEWS) and Fiber Optic Sensing and Communication

Authors 

Donahue, C. M. - Presenter, University of Colorado
Johnson, P., Los Alamos National Lab
Dauson, E., Los Alamos National Lab
Ren, C., Los Alamos National Lab
Murdoch, L., Clemson University
Frash, L., Los Alamos National Lab
Nakagawa, S., Lawrence Berkeley Laboratory
Hau, L., Clemson University
Carey, J. W., Los Alamos National Laboratory
We present an integrated approach to monitoring long-term wellbore integrity based on measurement of passive and active seismo-acoustic signals and stress changes in the near-wellbore region. Our goal is the development of an autonomous system that can be deployed in wells for long- term (e.g., decades), unattended monitoring both wellbore integrity and associated stress changes. Our signal target is threefold: (i) small seismo-acoustic signals associated with moving (leaking) fluids; (ii) the stress field along the wellbore where changes in stress may presage damage and leakage; (iii) nonlinear properties in the near-wellbore region that arise when damage develops and progresses. We envision an autonomous system consisting of both wellhead and downhole components based on the combined signals of piezoelectric and/or optical sensors integrated with innovative strategies for both source generation and data analysis. Our approach is based on our extensive work in four areas: (i) the physics of time reversal (TR) to focus acoustic energy, allowing interrogation of material properties locally; (ii) nonlinear elastic wave spectroscopy to probe damage in materials; (iii) the measurement and interpretation of seismo-acoustic signals, including recent work focused on extracting very small signals; and (iv) the characterization of in situ strains and stresses. The final system would entail autonomous, passive monitoring for changes in the local characteristics of both stress/strain field and seismo-acoustic noise, with periodic use of active monitoring (TR NEWS) to probe local changes in elastic properties tied to damage.