Abstract
At present, the method of predicting the oil recovery in the CO2 oil displacement area of the peripheral oil field of Daqing is mainly through numerical simulation with no empirical formulas. To solve this problem, research on the method of predicting recovery rate of CO2 drive characteristic curve is carried out. Firstly, an inhomogeneous ideal model of miscible, near miscible and immiscible by CO2 flooding based on the basic physical properties and PVT parameters of the peripheral oil field in Daqing oilfield is established. Secondly, there kinds of characteristic curves of CO2 flooding are defined, including carbon content-accumulation of oil, type A, B. The feature curve is used to predict the recovery rate in the model, and the calculation method of characteristic curve suitable for different displacement modes is optimized. The selected characteristic curve prediction method is applied to the block of the CO2 oil displacement test area on the periphery of Daqing. The prediction results are accurate comparing with the result of field predicted recovery. The results show that the B block of miscible drive and the S block of near miscible drive are suitable for the method of carbon content-accumulation of oil, A and B characteristic curves. The F block of immiscible drive is suitable for the characteristic curve method of carbon content-accumulation of oil. This method can be used to calculate the recovery yield of CO2 quickly and simply, and it is of guiding significance for the development and evaluation of the block.
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Wang, X. (2021). Method of Recovery Prediction by CO2 Flooding Characteristic Curve in Ultra-low Permeability Reservoir. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2020. IFEDC 2020. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0761-5_199
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DOI: https://doi.org/10.1007/978-981-16-0761-5_199
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