Literature DB >> 15707061

Semianalytical solution for CO2 leakage through an abandoned well.

Jan Martin Nordbotten1, Michael A Celia, Stefan Bachu, Helge K Dahle.   

Abstract

Capture and subsequent injection of carbon dioxide into deep geological formations is being considered as a means to reduce anthropogenic emissions of CO2 to the atmosphere. If such a strategy is to be successful, the injected CO2 must remain within the injection formation for long periods of time, at least several hundred years. Because mature continental sedimentary basins have a century-long history of oil and gas exploration and production, they are characterized by large numbers of existing oil and gas wells. For example, more than 1 million such wells have been drilled in the state of Texas in the United States. These existing wells represent potential leakage pathways for injected CO2. To analyze leakage potential, modeling tools are needed that predict leakage rates and patterns in systems with injection and potentially leaky wells. A new semianalytical solution framework allows simple and efficient prediction of leakage rates for the case of injection of supercritical CO2 into a brine-saturated deep aquifer. The solution predicts the extent of the injected CO2 plume, provides leakage rates through an abandoned well located at an arbitrary distance from the injection well, and estimates the CO2 plume extent in the overlying aquifer into which the fluid leaks. Comparison to results from a numerical multiphase flow simulator show excellent agreement. Example calculations show the importance of outer boundary conditions, the influence of both density and viscosity contrasts in the resulting solutions, and the potential importance of local upconing around the leaky well. While several important limiting assumptions are required, the new semianalytical solution provides a simple and efficient procedure for estimation of CO2 leakage for problems involving one injection well, one leaky well, and multiple aquifers separated by impermeable aquitards.

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Year:  2005        PMID: 15707061     DOI: 10.1021/es035338i

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

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Authors:  Kurt Zenz House; Daniel P Schrag; Charles F Harvey; Klaus S Lackner
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-07       Impact factor: 11.205

2.  Sensor array for wireless remote monitoring of carbon dioxide and methane near carbon sequestration and oil recovery sites.

Authors:  Wesley T Honeycutt; Taehwan Kim; M Tyler Ley; Nicholas F Materer
Journal:  RSC Adv       Date:  2021-02-10       Impact factor: 3.361

  2 in total

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