Assessing the monitorability of CO2 saturation in subsurface saline aquifers

JafarGandomi, Arash; Curtis, Andrew

doi:10.1016/j.ijggc.2011.10.015

Cited by 14 publications

(4 citation statements)

References 83 publications

(109 reference statements)

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“…Many tools and techniques at the pilot-and field-scale project have been deployed and tested in the last decade to demonstrate their strengths and weaknesses for CCS monitoring [3,4,5,6,7,8]. Using seismic surveys as a monitoring method has the advantage of covering a large area that can provide information about CO 2 saturation/distribution at locations where no monitoring wells exist.…”

Section: Introductionmentioning

confidence: 99%

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Alfi

Hosseini

2016

Fuel

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In this paper, we compare 4D seismic interpretations of CO 2 plume evolution with fluid-flow numerical simulation results for Cranfield, Mississippi. Historic pressure trends, oil and gas production rates, and current CO 2-EOR production data from the field were history matched, and a tuned model was used for predictive simulations. For CO 2-EOR operations, numerical simulation results of the CO 2 plume distribution and CO 2 first arrival (breakthrough) times in production wells were compared to the available field data. Three interpretations of 4D seismic data show discrepancies on the edges of the seismic survey, and along the sealing fault, where numerical simulations show high CO 2 saturations. In areas between these two limits, the match between simulation and 4D seismic interpretation improves. In addition, for most of the production wells, comparison of the breakthrough time of CO 2 showed a reasonable match. The tuned model was then used to predict reservoir response and storage capacity in different field development scenarios under CO 2 injection. We compared hypothetical scenarios where the operator transitions from CO 2-EOR to CO 2 injection without oil production (CO 2-EORT) when oil production is $ Abbreviations used in this paper: EOR (enhanced oil recovery), EORT (enhanced oil recovery transition), VRR (voidage replacement ratio), CCS (carbon dioxide capture and storage).

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Section: Introductionmentioning

confidence: 99%

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Alfi

Hosseini

2016

Fuel

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“…Geophysical monitoring data and reservoir characterization data, together, help obtain quantitative estimates necessary for verification of field behaviour against modelling estimates within uncertainty bounds [13]. Geophysical parameter behaviour is dependent on the rock minerology, porosity, pore fluid content, fluid saturations, in-situ temperatures, and pressures [14,15]. The ability of seismic (acoustic) methods to monitor trapped CO2 has been successfully demonstrated in the field however detecting the migrating plume front requires further investigation [16].…”

Section: Experimental Approachmentioning

confidence: 99%

“…The major challenge for laboratory experimental characterization for CCUS is performing the test at in-situ representative pressure and temperatures while accounting for the solubility between the supercritical CO2 (SC-CO2) and water and the properties of the SC-CO2 [12]. There have been multiple studies aimed at characterizing the fluid substitution phenomenon in the lab space [12,14,15,16,17,18,19,20,21]. To replicate CO2 injection into the deep aquifers, most approaches involved injecting dry CO2 gas or CO2-brine solutions into brine saturated rock samples at varied conditions of temperature, pressure, and usually low effective stresses.…”

Section: Experimental Approachmentioning

confidence: 99%

Integrated thermo-poro-mechanical characterization for CO₂ Sequestration at deep aquifer conditions

Govindarajan¹,

Aldin²,

Thombare³

et al. 2023

E3S Web Conf.

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Modelling and forecasting of injected CO2 plume behaviour is an essential step in the baseline, monitoring, and verification [BMV] process in the CO2 sequestration lifecycle. The goal of reduction of uncertainty through forecasting models, can be better realized by accounting for the thermo-poro-mechanical nature of the deep subsurface reservoir systems. The current study focusses on developing and refining a laboratory workflow which will help in generating representative static and dynamic datasets at ambient and deep aquifer conditions. The workflow involves characterizing the poroelastic Biot coefficient and mechanical properties at ambient, high temperatures and at reservoir representative stress conditions. This information will be combined with the dataset from a CO2 flood experiment which replicates the displacement of brine by super critical CO2 at ambient and high temperatures and at reservoir representative stresses. Resistivity and acoustic signals will be monitored throughout the flood experiment. Existing analytical models for fluid substitution such as the Biot-Gassmann-Brie populated with representative data will be evaluated for finding the best description of the experimental observations. The integrated results of the workflow are meant to help develop better informed static and dynamic models improving the confidence in the BMV process of CCUS.

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“…Measurement of downhole pressure and temperature is the most common monitoring approach. Other methods used by the oil and gas industry to specifically target CO 2 detection include 4‐D seismic, vertical seismic profiles, the reservoir saturation tool (RST), conventional logging techniques, distributed temperature sensors (DTS), and InSAR‐ and GPS‐based methods for surface‐deformation measurements . In addition, some methods – such as electrical resistivity tomography (ERT) and gravity – have been developed or redesigned for monitoring CO 2 plumes.…”

Section: Introductionmentioning

confidence: 99%

Time‐lapse application of pressure transient analysis for monitoring compressible fluid leakage

Hosseini

Alfi

2015

Greenhouse Gases

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Detecting early leakage of gaseous fluids from deep formations into shallower formations has financial and environmental implications and could potentially save commercial projects from expensive remediation. Detection of CO2 leakage in the context of CO2 geological storage and methane leakage at hydraulic‐fracturing sites is a possible scenario in which the approach described herein could be used. Any vertical leakage from a deep formation will most likely start with brine leakage, followed by arrival of the gaseous phase at the leakage pathway (faults, plugged and abandoned wells, fractures, etc.). We apply well‐known pressure transient analysis (PTA) techniques to solving challenges related to leakage monitoring, including distinguishing between brine and gaseous‐phase leakage and detecting leaks that may occur over a long period of time. The latter development is important because small leaks may not be detected by simple monitoring of absolute change in pressure. The proposed analysis is based on time‐lapse measurement of monitoring‐zone storativity (or total compressibility), and without loss of generality, we apply our analysis to CO2 leakage scenarios. Our numerical results suggest that if well‐known PTA techniques are used, CO2 leaks can be detected, allowing the volume of leaked CO2 into the monitoring zone to be estimated. © 2015 Society of Chemical Industry and John Wiley & Sons, Ltd

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Assessing the monitorability of CO2 saturation in subsurface saline aquifers

Cited by 14 publications

References 83 publications

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Integrated thermo-poro-mechanical characterization for CO₂ Sequestration at deep aquifer conditions

Time‐lapse application of pressure transient analysis for monitoring compressible fluid leakage

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Assessing the monitorability of CO2 saturation in subsurface saline aquifers

Cited by 14 publications

References 83 publications

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Integration of reservoir simulation, history matching, and 4D seismic for CO2-EOR and storage at Cranfield, Mississippi, USA

Integrated thermo-poro-mechanical characterization for CO2 Sequestration at deep aquifer conditions

Time‐lapse application of pressure transient analysis for monitoring compressible fluid leakage

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Integrated thermo-poro-mechanical characterization for CO₂ Sequestration at deep aquifer conditions