CO2-原油體系體積系數測定及預測模型
首發時間:2023-09-04
摘要:為了確定地層注入CO2對原油體積系數的變化規律,以XJ油田57025井為例,開展不同溫度、壓力、CO2含量及含水率條件下的原油體積測定實驗,同時對比現有體積系數預測模型并加以修正。結果表明:注入CO2摩爾含量相同條件下,混合流體體積系數隨壓力的增加而減小,隨溫度的升高而增大;溫度和壓力相同的條件下,混合流體體積系數隨CO2摩爾含量的增加而增大;溫度、壓力和CO2摩爾含量相同條件下,混合流體體積系數隨含水率增加而減小。修正后的體積系數預測模型考慮因素更為全面,平均相對誤差僅為1.98%,可滿足工程計算精度要求。
關鍵詞: CO2驅 CO2-原油混合體系 高壓物性 體積系數 模型修正
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Formation Volume Factor Measurement and Prediction Model of CO2-Crude Oil System
Abstract:The accurate measurement and prediction of formation volume factor of CO2-crude oil mixed system are of great significance for the efficient development of CO2-EOR, CO2-CCS and volume method to calculate crude oil reserves. In order to determine the changing rule of crude oil formation volume factor by injecting CO2 into formation, the crude oil formation volume factor measurements under different temperature, pressure, CO2 content and water content were carried out, and the existing formation volume factor prediction model was compared and modified taking well 57025 in XJ oilfield as an example. The results show that under the same injection CO2 mole content, the formation volume factor of the mixed fluid decreases with the increase of pressure and increases with the elevation of temperature. Under the same temperature and pressure, the formation volume factor of the mixed fluid increases with the increase of CO2 mole fraction. Moreover, under the same conditions of temperature, pressure and CO2 mole content, the formation volume factor of mixed fluid decreases with the increase of water content. The revised formation volume factor prediction model takes into consideration of more comprehensive factors, leading to a low average relative error of only 1.98 %, which can meet the requirements of engineering calculation accuracy.
Keywords: CO2 flooding CO2-crude oil mixed system High-pressure physical property Formation volume factor model modification
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