Bayesian Monte Carlo Inversion of InSAR Time Series Deformation Induced by Wastewater Injection: A Case Study in West Texas

Author:

Zheng Weiyu1ORCID,Lu Zhong1ORCID,Kim Jin‐Woo1ORCID

Affiliation:

1. Roy M. Huffington Department of Earth Sciences Southern Methodist University Dallas TX USA

Abstract

AbstractWastewater disposal can induce detectable surface uplift, which may cause ground instability and threaten infrastructure. The distributions of local hydro‐geomechanical parameters, especially Young's modulus and hydraulic conductivity, play an essential role in these geohazards. To constrain these parameters, we have inverted spatio‐temporal deformation measured by Interferometric Synthetic Aperture Radar (InSAR) and injection information using a Bayesian Monte Carlo approach with a poroelastic finite element model. Sentinel‐1A/B imagery from 2014 to 2020 is processed to track the spatio‐temporal deformation in Winkler county, West Texas, USA. The posterior distribution of subsurface effective volumes reveals under‐reported volumes in the well near the deformation center. In addition, the inversion results provide better constraints for the parameters than those solely obtained based on the cumulative spatial deformation or temporal development of the deformation center.

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Reference38 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inversion of Reservoir Parameters for Oil Extraction Based on Deformation Monitoring With InSAR;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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