期刊
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
卷 62, 期 43, 页码 18023-18031出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.iecr.3c02741
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A fast and reliable method to predict asphaltene deposition zones in oilfield wells is proposed. The study reveals that the colloidal instability index of crude oil increases during the production process, making the crude oil colloidal system more prone to instability. The Standing and Glaso models are used to determine the dissolved gas-oil ratio and predict the location of asphaltene deposition. Results show that the predicted plugging removal region by the model aligns with the observed plugging position in the field. The proposed model can guide the design of oilfield plugging removal technology and chemical dosage.
A fast and reliable method to predict the zones of asphaltene deposition in oilfield wells is proposed. The study reveals that the critical colloidal instability index of crude oil during the production process increases, causing the crude oil colloidal system to be more prone to instability. The standing and Glaso models were used to identify the dissolved gas-oil ratio in order to predict the location of asphaltene deposition. Results show that the expected priority plugging removal region predicted by the model agrees with the actual plugging position observed in the field. The proposed model can guide the design of oil field plugging removal technology and chemical dosage.
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