Analytical model of well leakage pressure perturbations in a closed aquifer system

Zeidouni, Mehdi

doi:10.1016/j.advwatres.2014.03.004

Cited by 27 publications

(15 citation statements)

References 45 publications

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“…Above‐zone pressure monitoring is especially important for CO 2 leakage detection and characterization because it can monitor a large area of investigation at low cost with high resolution and accuracy. Several studies focused on analyzing above‐zone pressure data to gain information on the leakage pathways such as leaking wells and fractures and other heterogeneities in the caprock . All these studies used pressure signal passively, i.e., the pressure signal was only due to leakage.…”

Section: Introductionsupporting

confidence: 85%

“…Several studies focused on analyzing above-zone pressure data to gain information on the leakage pathways such as leaking wells and fractures and other heterogeneities in the caprock. [15][16][17][18][19][20][21][22][23][24][25][26] All these studies used pressure signal passively, i.e., the pressure signal was only due to leakage. Hosseini and Alfi 27 used pressure monitoring by performing a pressure interference test in the above zone and analyzing its response for CO 2 leakage.…”

Section: Introductionmentioning

confidence: 99%

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Interpretation of above‐zone pressure influence time to characterize CO₂ leakage

2017

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Pressure transient analysis has long been used to characterize underground geological formations. Pressure is monitored for evaluating the containment of injected CO2 in the target formations in CO2 geological storage. Pressure interference testing in a permeable zone overlying the storage zone can determine migration of CO2 from the target reservoir. This study focuses on interpretation of interference tests in the above‐zone to obtain information on the plume size from pressure influence time. We define a conceptual model with idealization of the CO2 leakage scenario into a 3‐region linear composite system. For each region of this system, the governing pressure diffusivity equations and corresponding initial and boundary conditions are presented. An analytical solution is derived by sequentially transforming the equation system into Laplace and Fourier domains. The analytical solution is verified by comparing to numerical simulation results and a limiting analytical solution. Next, the ability of the analytical solution to predict the pressure influence time for an interference test is evaluated. It is shown that the pressure influence time is independent of the plume shape and depends only on the plume size on the line connecting the two interference test wells. This suggests that the measured pressure influence time can be inverted using our analytical solution to obtain the leaked plume size. The influence time is used for an example field application to obtain the plume volume percentage. © 2017 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Introductionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Interpretation of above‐zone pressure influence time to characterize CO₂ leakage

2017

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“…For the leak scenario, a leaky well is present at a distance r I from the injector, and the distance between the leaky well and observation well is denoted by r L . Such a problem setting has been widely used in analytical and numerical studies for leakage modeling [e.g., Avci, 1994;Birkholzer et al, 2011;Cihan et al, 2011;Nordbotten et al, 2004;Sun and Nicot, 2012;Sun et al, 2013b;Zeidouni, 2014]. Most of the previous analytical studies assume constant injection rates.…”

Section: Analytical Solution For Single-phase Flow In a Multilayer Symentioning

confidence: 99%

A harmonic pulse testing method for leakage detection in deep subsurface storage formations

Sun

Hovorka

2015

Water Resources Research

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Detection of leakage in deep geologic storage formations (e.g., carbon sequestration sites) is a challenging problem. This study investigates an easy-to-implement frequency domain leakage detection technology based on harmonic pulse testing (HPT). Unlike conventional constant-rate pressure interference tests, HPT stimulates a reservoir using periodic injection rates. The fundamental principle underlying HPTbased leakage detection is that leakage modifies a storage system's frequency response function, thus providing clues of system malfunction. During operations, routine HPTs can be conducted at multiple pulsing frequencies to obtain experimental frequency response functions, using which the possible time-lapse changes are examined. In this work, a set of analytical frequency response solutions is derived for predicting system responses with and without leaks for single-phase flow systems. Sensitivity studies show that HPT can effectively reveal the presence of leaks. A search procedure is then prescribed for locating the actual leaks using amplitude and phase information obtained from HPT, and the resulting optimization problem is solved using the genetic algorithm. For multiphase flows, the applicability of HPT-based leakage detection procedure is exemplified numerically using a carbon sequestration problem. Results show that the detection procedure is applicable if the average reservoir conditions in the testing zone stay relatively constant during the tests, which is a working assumption under many other interpretation methods for pressure interference tests. HPT is a cost-effective tool that only requires periodic modification of the nominal injection rate. Thus it can be incorporated into existing monitoring plans with little additional investment.

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“…[12][13][14][15][16][17][18][19]). Many approaches can be adopted to predict the fracture induced by pressure and temperature changes in a low permeability highly fragile porous medium filled with liquids.…”

Section: Accepted Manuscriptmentioning

confidence: 98%

Temperature effect on low permeability porous media filled with water at high pressures

Mattos

Reis

Angulo

et al. 2015

Advances in Water Resources

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Analytical model of well leakage pressure perturbations in a closed aquifer system

Cited by 27 publications

References 45 publications

Interpretation of above‐zone pressure influence time to characterize CO₂ leakage

Interpretation of above‐zone pressure influence time to characterize CO₂ leakage

A harmonic pulse testing method for leakage detection in deep subsurface storage formations

Temperature effect on low permeability porous media filled with water at high pressures

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Analytical model of well leakage pressure perturbations in a closed aquifer system

Cited by 27 publications

References 45 publications

Interpretation of above‐zone pressure influence time to characterize CO2 leakage

Interpretation of above‐zone pressure influence time to characterize CO2 leakage

A harmonic pulse testing method for leakage detection in deep subsurface storage formations

Temperature effect on low permeability porous media filled with water at high pressures

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Product

Resources

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Interpretation of above‐zone pressure influence time to characterize CO₂ leakage

Interpretation of above‐zone pressure influence time to characterize CO₂ leakage