Modeling of CO2-LPG WAG with asphaltene deposition to predict coupled enhanced oil recovery and storage performance

Cho, Jinhyung; Min, Baehyun; Jeong, Moon Sik; Lee, Young Woo; Lee, Kun Sang

doi:10.1038/s41598-021-81316-2

Cited by 3 publications

(2 citation statements)

References 28 publications

(36 reference statements)

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“…The cost of implementing CCS and EOR technologies can be high, and there may be technical challenges associated with storage and injection processes [54,158]. There may also be regulatory barriers and public perception issues that need to be addressed [159].…”

Section: Potential Use Of Ccs and Eor As A Combined Approachmentioning

confidence: 99%

Carbon Capture and Storage: Application in the Oil and Gas Industry

Yasemi,

Khalili,

Sanati

et al. 2023

Sustainability

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As a rapidly evolving technology, carbon capture and storage (CCS) can potentially lower the levels of greenhouse gas emissions from the oil and gas industry. This paper provides a comprehensive review of different aspects of CCS technology, including its key components, the methods and stages of carbon storage, implied environmental effects, and its pros and cons. This paper also investigates the utilization of CCS as an alternative method to water injection into oil reservoirs. It also probes the technical and operational challenges of implementing CCS technology in the oil and gas industry. Additionally, this paper examines the regulatory and policy issues associated with CCS, including incentives and frameworks for promoting the deployment of CCS technology. Finally, in this paper the potential benefits of CCS are discussed, including reducing the carbon footprint of the oil and gas industry, enhancing energy security, and supporting the transition to a low-carbon economy.

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Section: Potential Use Of Ccs and Eor As A Combined Approachmentioning

confidence: 99%

Carbon Capture and Storage: Application in the Oil and Gas Industry

Yasemi,

Khalili,

Sanati

et al. 2023

Sustainability

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show abstract

“…Therefore, a reliable and precise enhanced oil recovery screening method is desirable to develop depleting reservoirs. A literature review indicates that there are generally two techniques for EOR screening: (1) conventional EOR screening (CEORS) and (2) advanced EOR screening (AEORS) [7][8][9] . The CEORS technique considers several predefined screening parameters to indicate the likelihood of successful implementation of each EOR technique.…”

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confidence: 99%

Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios

Pandey

Gandomkar

Vaferi

et al. 2023

Sci Rep

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High oil prices and concern about limited oil reserves lead to increase interest in enhanced oil recovery (EOR). Selecting the most efficient development plan is of high interest to optimize economic cost. Hence, the main objective of this study is to construct a novel deep-learning classifier to select the best EOR method based on the reservoir’s rock and fluid properties (depth, porosity, permeability, gravity, viscosity), and temperature. Our deep learning-based classifier consists of a one-dimensional (1D) convolutional neural network, long short-term memory (LSTM), and densely connected neural network layers. The genetic algorithm has been applied to tune the hyperparameters of this hybrid classifier. The proposed classifier is developed and tested using 735 EOR projects on sandstone, unconsolidated sandstone, carbonate, and conglomerate reservoirs in more than 17 countries. Both the numerical and graphical investigations approve that the structure-tuned deep learning classifier is a reliable tool to screen the EOR scenarios and select the best one. The designed model correctly classifies training, validation, and testing examples with an accuracy of 96.82%, 84.31%, and 82.61%, respectively. It means that only 30 out of 735 available EOR projects are incorrectly identified by the proposed deep learning classifier. The model also demonstrates a small categorical cross-entropy of 0.1548 for the classification of the involved enhanced oil recovery techniques. Such a powerful classifier is required to select the most suitable EOR candidate for a given oil reservoir with limited field information.

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A comprehensive review direct methods to overcome the limitations of gas injection during the EOR process

Shafiei,

Kazemzadeh,

Escrochi

et al. 2024

Sci Rep

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Among the Enhanced Oil Recovery (EOR) methods, gas-based EOR methods are very popular all over the world. The gas injection has a high ability to increase microscopic sweep efficiency and can increase production efficiency well. However, it should be noted that in addition to all the advantages of these methods, they have disadvantages such as damage due to asphaltene deposition, unfavorable mobility ratio, and reduced efficiency of macroscopic displacement. In this paper, the gas injection process and its challenges were investigated. Then the overcoming methods of these challenges were investigated. To inhibit asphaltene deposition during gas injection, the use of nanoparticles was proposed, which were examined in two categories: liquid-soluble and gas-soluble, and the limitations of each were examined. Various methods were used to overcome the problem of unfavorable mobility ratio and their advantages and disadvantages were discussed. Gas-phase modification has the potential to reduce the challenges and limitations of direct gas injection and significantly increase recovery efficiency. In the first part, the introduction of gas injection and the enhanced oil recovery mechanisms during gas injection were mentioned. In the next part, the challenges of gas injection, which included unfavorable mobility ratio and asphaltene deposition, were investigated. In the third step, gas-phase mobility control methods investigate, emphasizing thickeners, thickening mechanisms, and field applications of mobility control methods. In the last part, to investigate the effect of nanoparticles on asphaltene deposition and reducing the minimum miscible pressure in two main subsets: 1- use of nanoparticles indirectly to prevent asphaltene deposition and reduce surface tension and 2- use of nanoparticles as a direct asphaltene inhibitor and Reduce MMP of the gas phase in crude oil was investigated.

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Modeling of CO2-LPG WAG with asphaltene deposition to predict coupled enhanced oil recovery and storage performance

Cited by 3 publications

References 28 publications

Carbon Capture and Storage: Application in the Oil and Gas Industry

Carbon Capture and Storage: Application in the Oil and Gas Industry

Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios

A comprehensive review direct methods to overcome the limitations of gas injection during the EOR process

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