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Title: Characterizing and Interpreting the In Situ Strain Tensor During CO2 Injection

Abstract

Injecting fluid into a well creates an evolving strain tensor field in the rocks enveloping the well. Understanding the strain field has the potential to improve the effectiveness of CO2 storage, but the strain tensor had never been measured during injection. The objective of this project was to evaluate how the strain tensor can be measured and interpreted to improve the assessment of geomechanical properties and advance an understanding of geomechanical processes that may present risks to CO2 storage. The project consisted of three primary tasks related to 1) developing instruments for measuring the strain tensor with high precision; 2) developing methods for analyzing strain signals; and 3) demonstrating the approach at a CO2 storage analog site.

Authors:
 [1];  [1];  [1];  [1];  [1];  [2]
  1. Clemson University, SC (United States)
  2. East Carolina University, Greenville, NC (United States)
Publication Date:
Research Org.:
Clemson Univ., SC (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE), Clean Coal and Carbon Management
OSTI Identifier:
1529100
Report Number(s):
DE-FE0023313
DOE Contract Number:  
FE0023313
Resource Type:
Technical Report
Resource Relation:
Related Information: FDSN/IRIS for all raw data: 10.7914/SN/2J_20161A Shut-In: March 31 thru April 7, 2017: 10.18141/15053739A Injection: October 11 thru October 17, 2017: 10.18141/15053749A Injection: November 28 thru December 1, 2017: 10.18141/15053759A Injection: June 28 thru July 23, 2018: 10.18141/1505376
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; 20 FOSSIL-FUELED POWER PLANTS; 42 ENGINEERING; 47 OTHER INSTRUMENTATION; 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS; carbon storage; strain; stress; reservoir characterization; monitoring; deformation; seismicity; faulting; well testing; strainmeter; strain instrument; inversion; poroelastic; stochastic inversion; asymptotic analysis

Citation Formats

Murdoch, Lawrence C., DeWolf, Scott, Germanovich, Leonid N., Hanna, Alexander, Moak, Robert, and Moysey, Stephen. Characterizing and Interpreting the In Situ Strain Tensor During CO2 Injection. United States: N. p., 2019. Web. doi:10.2172/1529100.
Murdoch, Lawrence C., DeWolf, Scott, Germanovich, Leonid N., Hanna, Alexander, Moak, Robert, & Moysey, Stephen. Characterizing and Interpreting the In Situ Strain Tensor During CO2 Injection. United States. https://doi.org/10.2172/1529100
Murdoch, Lawrence C., DeWolf, Scott, Germanovich, Leonid N., Hanna, Alexander, Moak, Robert, and Moysey, Stephen. 2019. "Characterizing and Interpreting the In Situ Strain Tensor During CO2 Injection". United States. https://doi.org/10.2172/1529100. https://www.osti.gov/servlets/purl/1529100.
@article{osti_1529100,
title = {Characterizing and Interpreting the In Situ Strain Tensor During CO2 Injection},
author = {Murdoch, Lawrence C. and DeWolf, Scott and Germanovich, Leonid N. and Hanna, Alexander and Moak, Robert and Moysey, Stephen},
abstractNote = {Injecting fluid into a well creates an evolving strain tensor field in the rocks enveloping the well. Understanding the strain field has the potential to improve the effectiveness of CO2 storage, but the strain tensor had never been measured during injection. The objective of this project was to evaluate how the strain tensor can be measured and interpreted to improve the assessment of geomechanical properties and advance an understanding of geomechanical processes that may present risks to CO2 storage. The project consisted of three primary tasks related to 1) developing instruments for measuring the strain tensor with high precision; 2) developing methods for analyzing strain signals; and 3) demonstrating the approach at a CO2 storage analog site.},
doi = {10.2172/1529100},
url = {https://www.osti.gov/biblio/1529100}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Jun 08 00:00:00 EDT 2019},
month = {Sat Jun 08 00:00:00 EDT 2019}
}