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Displacement efficiency is an important index of water drive oilfield. This article takes water drive oilfield as the object to analyze the influence factors of displacement efficiency in limit water cut stage of water drive oilfield. The displacement efficiency experimental data of 99 cores which come from 65 development wells of 34 oilfields have been collected. The authors use the method of multiple linear regression analysis to establish a new empirical formula of displacement efficiency. The relative error of the empirical formula is less than 7% compared to the experimental data.

The displacement efficiency is the ratio that is the volume of the produced oil to the volume of oil in place [

In addition, due to the influence of sample data representation, the existing empirical formula has a poor adaptability to Bohai oilfield. At present, the widely used empirical formula of displacement efficiency was established by Mr. Yu Qitai (Equation (1)). This empirical formula was established based on the experimental data of water flooding experiment of onshore oilfields in the US, the Soviet Union and China, thus the empirical formula has poor adaptability to offshore oil fields. The relative error of the empirical formula already exceeds 10% compared to the experimental data of cores in Bohai oilfield. So, the displacement efficiency of Bohai oilfield is difficult to obtain. It is necessary to establish an empirical formula of displacement efficiency based on the experimental data of water flooding experiment of Bohai oilfield.

E D = 0.5757 − 0.1157 lg μ o + 0.03753 lg k , (1)

where E_{D} is displacement efficiency, f; μ o is oil viscosity in place, mPa・s; k is permeability, mD.

This article takes displacement efficiency at limited water cut of Bohai oilfield as object, by collecting data of developed oil field, and the influence factors of displacement efficiency are researched, using the method of multiple linear regression analysis to establish a new empirical formula of displacement efficiency. The relative error of the empirical formula is less than 7% compared to the experimental data. The empirical formula enriches the method of displacement efficiency calibration in Bohai Oilfield.

There are many influence factors of displacement efficiency. In this paper, by literature research [

Reservoir permeability and porosity characterize the influence of rock microscopic pore structure on percolation capacity. The large number of experimental results shows that there is a positive correlation between displacement efficiency and reservoir permeability and porosity. If the reservoir porosity and permeability is higher, displacement efficiency is higher.

The oil viscosity in place has great influence on oil displacement efficiency. If the oil viscosity in place is low, then the pistons drive is formed easily during water displacement.

The pore volume ratio of injected water is defined as the ratio of the volume of injected water to reservoir pore volume. Experiments show that with the increase of injection multiple, displacement efficiency increases. But the increase rate is different at different stages of development and different pore volume multiple of injected water. Especially, the increase rate is smaller when the development of oil reservoir is at high water cut period. Because this article takes displacement efficiency at limited water cut of Bohai oilfield as object, the pore volume multiple of injected water is very high, the pore volume multiple of injected water has little influence on oil displacement efficiency.

In this paper, the displacement efficiency experimental data of 118 rocks which come from 65 development wells of 34 oilfields have been collected. On this basis, the data which has unreasonable experimental condition and inaccurate result is rejected. Finally, the displacement efficiency experimental data of 99 cores which come from 65 development wells of 34 oilfields has been collected as sample data. The sample data covers the typical oil fields in Bohai oilfield, which is highly representative.

In order to further verify the data reliability, the correlation between three influence factors and displacement efficiency is analyzed.

The process of empirical formula establishment the formula is the process of obtaining the relationship between three influence factors and displacement efficiency. There are two methods in regression formula, one method is multivariate linear regression (Equation (2)); the other method is multivariate nonlinear regression (Equation (3)).

y ^ = a 1 x 1 + a 2 x 2 + ⋯ + a n x n + b , (2)

y ^ = f ( x 1 ) + f ( x 2 ) + ⋯ + f ( x n ) + b , (3)

The method of multivariate nonlinear regression has high accuracy, but the calculation is complicated and difficult to operate. In the conditions of guaranteeing the accuracy, the method of multivariate linear regression is easy to operate and simple to calculate. By comparison, the method of multivariate linear regression is used to establish empirical formula. Considering that the range of permeability and oil viscosity in place is very large, the two parameters are expressed in logarithmic form. The sample data is substituted into the Equation (2), there are 99 equations (Equation (4)):

{ E D 1 = a 1 ϕ 1 + a 2 log k 1 − a 3 log μ 1 + b E D 2 = a 1 ϕ 1 + a 2 log k 1 − a 3 log μ 1 + b ⋮ E D 99 = a 1 ϕ 99 + a 2 log k 99 − a 3 log μ 99 + b , (4)

Use least square method and Gaussian elimination method to solve equations.

The solution process is as follows: Use Gaussian elimination method to solve Equation (4). The values of a 1 , a 2 , ⋯ , a 6 and b are obtained.

Through a series of operations, finally, a new empirical formula (Equation (5)) of displacement efficiency is established.

E D = 0.002 ϕ + 0.053 lg k − 0.034 lg μ o + 0.443 , (5)

where E D is displacement efficiency, f; ϕ is porosity, %; k is permeability, mD; μ o is oil viscosity in place, mPa・s.

New empirical formula is used to calculate displacement efficiency of sample rocks. The calculation results are shown in the figure (

The general empirical formula is based on a specific set of data, so it has a specific scope of application. By combing the sample data, the scope of parameters of empirical formula is confirmed (

1) Confirm the influence factors of displacement efficiency at limited water cut. The influence factors are permeability, porosity and oil viscosity in place.

Parameter | Porosity % | Air Permeability mD | Oil viscosity in place mPa・s |
---|---|---|---|

Range | 10.3 - 40.1 | 42.0 - 9720.0 | 8.2 - 252.7 |

Mean | 30.6 | 2367.0 | 52.9 |

2) Establish a new empirical formula of displacement efficiency. The relative error of the empirical formula is less than 7% compared to the experimental data.

The authors declare no conflicts of interest regarding the publication of this paper.

Duan, Y., Wang, S.P., Wang, M.N., Li, J.Y. and Wang, G. (2018) Research on Empirical Formula of Displacement Efficiency in Bohai Oilfield. Journal of Power and Energy Engineering, 6, 27-31. https://doi.org/10.4236/jpee.2018.69004