Well integrity risk assessment to inform containment risk monitoring for carbon capture, utilization, and storage, applied to the Weyburn-Midale Field, Canada

Duguid, Andrew; Zaluski, Wade; El-Kaseeh, George; Lee, Si-Yong; Piercy, Mark

doi:10.1016/j.ijggc.2016.10.018

Cited by 21 publications

(6 citation statements)

References 7 publications

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“…They pointed out that elastomer bridge material used during some well plugging procedures may be damaged when it comes into contact with CO 2 . In a similar study, Duguid et al 51 leakage likelihood and leakage impact in their scoring system. Some of the well characteristics used in their analysis were cement quality, depth, well age, and deviation and casing quality.…”

Section: Introductionmentioning

confidence: 97%

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Field‐scale well leakage risk assessment using reduced‐order models

2019

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Oil wells that intersect a potential CO2 storage zone in a depleted oil and gas field may provide leakage pathways. It is essential to estimate the field‐scale leakage risk associated with these wells. In this study, a risk‐based approach is used to estimate the risk of leakage. Existing reduced‐order models for well leakage are used to quantitatively estimate well leakage rates for cased‐cemented, cased‐uncemented, and open wellbores. For each existing well that intersects the storage zone, we introduce the well leakage index (WLI), which accounts for wellbore geometry, distance from the injection well, buffer layers between the storage zone and underground sources of drinking water, and the nature of storage zone boundary type. For an initial injection well location, the total site well leakage index (SWLI) is calculated, which is the summation of the WLI for all of the wells. Next, the injector location is varied areally and SWLI is calculated for a specified number of potential injector well locations in the storage zone area. Small values for the SWLI correspond to low well leakage potential, indicating where injection well locations can be considered. The developed criterion provides a means to systemically find the areas with highest and lowest well leakage potential for a storage zone. Due to the reduced order nature of the developed method, it should be a useful tool in the planning and execution phase of the CO2 geological sequestration process. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 97%

“…They pointed out that elastomer bridge material used during some well plugging procedures may be damaged when it comes into contact with CO 2 . In a similar study, Duguid et al . used a scoring system to identify wells with higher leakage risk in the Weyburn‐Midale project in Canada.…”

Section: Introductionmentioning

confidence: 99%

Field‐scale well leakage risk assessment using reduced‐order models

2019

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“…CCS technology has been utilized in Norway, the United States, Japan, Australia, Canada, and other countries. [9][10][11][12][13][14][15] China has carried out a nationwide assessment of geological sequestration CO 2 storage capacity. [16][17][18] As a country with large coal resources, China has considerable coal bed methane reserves of approximately 3.06 × 10 12 m 3 which can store approximately 2.2664 × 10 10 t of CO 2 .…”

Section: Introductionmentioning

confidence: 99%

“…The exploitation of oil and gas by injecting CO 2 , such as CO 2 ‐EOR, CO 2 ‐EGR, and CO 2 ‐ECBM, not only promotes energy development but also effectively sequesters CO 2 . CCS technology has been utilized in Norway, the United States, Japan, Australia, Canada, and other countries 9‐15 . China has carried out a nationwide assessment of geological sequestration CO 2 storage capacity 16‐18 .…”

Section: Introductionmentioning

confidence: 99%

Influence of supercritical, liquid, and gaseous CO₂ on fracture behavior in sandstone

Sun

Song

Gui

et al. 2020

Energy Science & Engineering

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“…However, there is a lack of risk assessment model to evaluate the corroded casing risk in the CO 2 injection well. Evaluating the risk of corroded casing and adopting different construction process parameters according to the risk level can effectively improve production efficiency and reduce economic losses (Wang et al 2018;Duguid et al 2019;Guo et al 2016a, b). Zeng et al (2017) established a sustained casing pressure risk assessment model with fuzzy comprehensive evaluation method and provided a clear risk identification and hierarchical management method utilizing limited resources.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

et al. 2020

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Casing corrosion during CO2 injection or storage results in significant economic loss and increased production risks. Therefore, in this paper, a corroded casing risk assessment model based on analytic hierarchy process and fuzzy comprehensive evaluation is established to identify potential risks in time. First, the corrosion rate and residual strength characteristics are analyzed through corrosion tests and numerical simulations, respectively, to determine the risk factors that may lead to an accident. Then, an index system for corroded casing risk evaluation is established based on six important factors: temperature, CO2 partial pressure, flow velocity, corrosion radius, corrosion depth and wellhead pressure. Subsequently, the index weights are calculated via the analytic hierarchy process. Finally, the risk level of corroded casing is obtained via the fuzzy comprehensive evaluation. The corroded casing risk assessment model has been verified by a case well, which shows that the model is valuable and feasible. It provides an effective decision-making method for the risk evaluation of corroded casing in CO2 injection well, which is conductive to improve the wellbore operation efficiency.

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Well integrity risk assessment to inform containment risk monitoring for carbon capture, utilization, and storage, applied to the Weyburn-Midale Field, Canada

Cited by 21 publications

References 7 publications

Field‐scale well leakage risk assessment using reduced‐order models

Field‐scale well leakage risk assessment using reduced‐order models

Influence of supercritical, liquid, and gaseous CO₂ on fracture behavior in sandstone

Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

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Well integrity risk assessment to inform containment risk monitoring for carbon capture, utilization, and storage, applied to the Weyburn-Midale Field, Canada

Cited by 21 publications

References 7 publications

Field‐scale well leakage risk assessment using reduced‐order models

Field‐scale well leakage risk assessment using reduced‐order models

Influence of supercritical, liquid, and gaseous CO2 on fracture behavior in sandstone

Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

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Product

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Influence of supercritical, liquid, and gaseous CO₂ on fracture behavior in sandstone