Research Article | Open Access
Yahui Li, Haitao Li, Ying Li, "Prediction Method of Bottom Water Coning Profile and Water Breakthrough Time in Bottom Water Reservoir without Barrier", Mathematical Problems in Engineering, vol. 2015, Article ID 149490, 6 pages, 2015. https://doi.org/10.1155/2015/149490
Prediction Method of Bottom Water Coning Profile and Water Breakthrough Time in Bottom Water Reservoir without Barrier
During the exploitation of bottom water oil reservoir, bottom water coning influences the breakthrough of bottom water significantly. Because water cut rises quickly after the breakthrough of bottom water, measures should be taken before the breakthrough to postpone production period without water, thus improving oil recovery. So accurate prediction of water coning profile and breakthrough time is very essential. Through mathematical derivation, this paper proposed a prediction method of bottom water coning profile and bottom water breakthrough time in bottom water reservoir without barrier. Based on theory of fluids flow in porous media, this paper assumes that the flow models are plane radial flow in opened intervals and spherical radial flow in unopened intervals. Further, factors of fluid viscosity, irreducible water saturation, residual oil saturation, and oil-water contact (OWC) movement are also taken into account. Compared with other prediction equations, this method achieves more precise bottom water breakthrough time, and the relative deviation is only 1.14 percent.
Sandstone reservoir with bottom water is a common kind of oil reservoir. During the recovery of this kind of reservoir, bottom water provides energy to drive oil. However, the breakthrough of bottom water, which is influenced by bottom water coning, will lead to the quick increase of water cut, thus decreasing recovery rate. Therefore, it is essential to obtain bottom water coning profile and control the breakthrough time.
For bottom water reservoir without barrier, a number of researches have explored the recovery theory and the breakthrough of bottom water. Zhu  developed his prediction method using a conic bottom water body with straight generatrix; however the generatrix should in fact be curved. Tang  concluded the prediction equations for breakthrough time and geometrical function of water cone height, postulating that there are plane radial flow and spherical flow but disregarding the impact of residual oil saturation, irreducible water saturation, and oil/water viscosity. Providing curved generatrix of the bottom water cone, Li  and Xiong et al.  presented their prediction equations of breakthrough time, respectively. Moreover, Li believes bottom water right below the well hole goes up vertically and reaches well bottom first. However, neither of them took account of the OWC movement and nor do they consider the bottom water coning profile.
On condition that the shot density of the oil-bearing zone in bottom water reservoir is relatively low or open hole completion is performed, this paper proposed prediction method of the bottom water profile and the breakthrough time. In this paper, two flow models, that is, plane radial flow and spherical radial flow, are applied, so these models yield more accurate prediction results than the previous simple model [5–7]. Meanwhile, oil/water viscosity, initial irreducible water saturation, residual oil saturation, and the OWC movement which are often ignored are also considered. What is more, the water coning profile is considered and presented, which will give visual assistance for the coning process.
2. Model and Equations
During the development of bottom water reservoir, formation pressure will shape like a funnel, causing bottom water to rise like a cone and OWC to rise. So bottom water breakthrough is the result of bottom water coning and OWC increase. Moreover, bottom water begins to break through when bottom water cones to the highest point, namely, the well bottom.
Figure 1 describes the condition where oil-bearing zone is partly opened and completion intervals are fully perforated. To simplify the mathematical analysis, assumptions are put forward as follows:(1)Reservoir is homogenous.(2)Effect of oil-water transition zone is ignored.(3)Capillary force and gravity are ignored.(4)Flow is governed by Darcy’s law.(5)The opened reservoir sections are planar radial flow; the unopened reservoir sections are spherical radial flow.
According to the assumptions above, prediction method is developed as follows.
If the impact of oil-water transition zone is not considered, the vertical seepage velocity of oil and water is  where is the height covered by water from OWC, is the vertical pressure of oil phase, is the average permeability, is the oil relative permeability at initial irreducible water saturation, is the water viscosity, is the vertical pressure of water phase, and is the water relative permeability at residual oil saturation.
Oil and water share the same pressure gradient on the oil-water level  due to the ignorance of capillary force, which generates the following equation:
So the following equation can be obtained by (2):
The relationship between the real and the upper seepage velocity yields the real seepage velocity:where is the porosity.
Concerning the influence of initial irreducible water saturation and the residual oil saturation after water flooding, (4) can be corrected aswhere is the residual oil saturation and is the initial irreducible water saturation.
In the perforated interval, oil recovery can be determined from the plane radial flow as where is the thickness of opened oil-bearing zone, is the drainage radius, is the well radius, and is the pressure drop.
Under the perforated interval, oil recovery can be calculated from the spherical radial flow as 
Total oil output can be calculated as
Oil recovery from spherical radial flow is
Oil seepage velocity can be derived from spherical radial flow:
So the vertical seepage velocity of oil iswhere is the height from OWC to well bottom, is the radius of the flow sphere, and is the radius of the circle formed from tangent OWC plane of the flow sphere.
Distance covered by water of OWC is
Equation (20) is the geometrical equation of OWC water which takes well axis as the origin of radius . Given certain value for , coning height of the OWC water at different times can be concluded.
When radius , that is, at the well bottom axis, coning height is exactly , so (20) can be simplified as
Expressing (22) and integrating in from 0 to yield the expression for bottom water breakthrough time:
Applying Matlab, (23) results in its analytical expression as follows:
Equation (24) is right expression for breakthrough time.
3. Case Study
The case is a well from a certain bottom water reservoir in Tarim oilfield; related parameters are as follows: is 22 m, is 5 m, is 500 m, is 0.1 m, is , is 1.7, is 0.19, is 0.96 mPa·s, is 6.3 mPa·s, surface production rate is 250 m3/d, is 0.22, is 0.19, is 0.807, is 0.19, and is 3.5 d. Table 1 compares the calculated results from different prediction methods for breakthrough time.
Comparing the predicted breakthrough time with the real one, it is clear that Zhu’s equations yield the largest deviation; Tang’s equations report more precise result than Zhu’s but cannot avoid substantial deviation; Xiong et al. present even more accurate outcome; however deviation still exists obviously because of the ignorance of OWC movement, especially when oil output is large. This paper calculates the most accurate result which puts forward smaller deviation than Li’s method.
As is shown in Figures 3 and 4, for the bottom water coning profile versus distance to well axis and the corresponding three-dimensional profile for 3.48 days, coning rate becomes higher in the position near the well axis. In addition, there is a sharp rising period of bottom water before its breakthrough. So for the sake of postponing production period without water time, controlling measures should be taken during the period from 80 to 85 percent of the entire breakthrough time.
Shengju postulates that bottom water moves along the straight generatrix of the cone body, which enlarges the swept volume of the coning bottom water, thus obtaining a longer breakthrough time; Renxuan ignores the impact of the mobility ratio of oil and water, irreducible water saturation, and the residual oil saturation after water flooding, so he also presents a longer breakthrough time; without consideration of the movement of OWC, Li and Xiong et al. report longer breakthrough time too. This paper proposed a more precise method from which the calculated prediction time is much closer to the actual time.
Usually sections near the well could be damaged as a result of well drilling and completion, thus leading to the change of permeability. Therefore, (10) is modified aswhere is the well skin factor, which can be calculated by  where is the permeability of the damaged inner sections and is the radius of the damaged inner sections. As is shown in Figure 5, the section marked in blue represents the damaged sections, and the damaged and undamaged sections are assumed to be homogeneous, respectively.
When oil well is a perfect well, that is, the skin factor , (25) expresses the same conditions like (10); when oil well is not perfect, in other words, , recovery rate of not being perfect will be lower than the perfect one, and the predicted breakthrough time of being not perfect will be shorter than the perfect one. Similarly, if oil well is super-perfect well, that is, , produced oil of the super-perfect well will be more than the perfect one, with longer predicted breakthrough time. So if the influence caused by drilling and completion is considered, the prediction method will yield more accurate results.
From Figures 6 and 7, on the one hand, we can see that the predicted production period without water will be shorter with the increase of surface recovery rate and crude oil volume factor. On the other hand, the predicted production period without water falls dramatically at the early time, followed by a slight decrease, while crude oil volume factor causes a relatively stable drop.
From Figure 8, it can be concluded that the predicted production period without water increases evenly; to rephrase it, bottom water rise up at a uniform speed with the growing of formation porosity.
According to Figure 9, the predicted water-free production time falls with the increase of oil/water viscosity ratio. It is attractive that when oil/water viscosity is relatively small, the predicted water-free production time experiences rapid changes. Consequently, oil/water viscosity ratio will influence bottom water coning to some extent, which is consistent with Yu et al.’s proposal .
Considering oil and water viscosity, initial irreducible water saturation, residual oil saturation, and OWC contact movement, this paper proposed a prediction method of bottom water coning profile and bottom water breakthrough time in bottom water reservoir without barrier. Based on theory of fluids flow in porous media, this paper assumes that the flow models are plane radial flow for opened reservoir sections and spherical radial flow for unopened reservoir sections. Compared with other prediction methods, this method can best match the real bottom water breakthrough time, and the relative deviation is only 1.14 percent. Therefore, this method has considerable potential for predicting water breakthrough time in bottom water oil reservoir without barrier.
|:||The thickness of the oil-bearing zone, m|
|:||The opened thickness of oil-bearing zone, m|
|:||Drainage radius, m|
|:||Well radius, m|
|:||Underground production, m3/d|
|:||Underground oil volume factor|
|:||Oil viscosity, mPa·s|
|:||Water viscosity, mPa·s|
|:||Residual oil saturation|
|:||Initial irreducible water saturation|
|:||Oil relative permeability of initial irreducible water saturation|
|:||Water relative permeability of residual oil saturation|
|:||The bottom water breakthrough time, d|
|:||Oil-water mobility ratio, dimensionless|
|:||The well skin factor.|
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
- S. Zhu, “Modified equations of predicting water breakthrough time in bottom water reservoirs without barrier,” Xinjiang Petroleum Geology, vol. 20, no. 1, pp. 56–57, 1999.
- R. Tang, “Simulation of water coning performance and prediction of water breakthrough time in bottom-water reservoirs,” Xinjiang Petroleum Geology, vol. 24, no. 6, pp. 572–573, 2003.
- C. Li, “The prediction equations of water breakthrough time in bottom water reservoirs with barrier,” Petroleum Geology & Oilfield Development in Daqing, vol. 16, no. 4, p. 49, 1997.
- X. Xiong, Y. Li, J. Zhang et al., “A new method of predicting water coning performance and water breakthrough time in bottom water reservoir,” Fault-Block Oil&Field, vol. 21, no. 2, pp. 222–223, 2014.
- L. Jin, A. K. Wojtanowicz, and R. G. Hughes, “An analytical model for water coning control installation in reservoir with bottom water,” Journal of Canadian Petroleum Technology, vol. 49, no. 5, pp. 65–70, 2010.
- D. P. Sobocinski and A. J. Cornelius, “A correlation for predicting water coning time,” Journal of Petroleum Technology, vol. 17, no. 5, p. 594, 1965, Paper SPE-894.
- M. C. T. Kuo, “A simplified method for water coning predictions,” in Proceedings of the SPE Annual Technical Conference and Exhibition, SPE-12067-MS, San Francisco, Calif, USA, October 1983.
- D. Tiab and E. C. Donaldson, Petrophysics: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties, Elsevier, 2nd edition, 2004.
- X. Li, Fluid Flow in Underground Porous Media, Petroleum Industry Press, Beijing, China, 2007.
- C. Li, Fundamental Theory of Reservoir Engineering, Petroleum Industry Press, Beijing, China, 2005.
- X. Zhang, C. Li, and R. Fan, “Influence of recovery rate on movement velocity of oil-water contact and bottom-water coning,” Fault-Block Oil & Gas Field, vol. 17, no. 5, pp. 584–585, 2010.
- G. Yu, J. Ling, and M. Jiang, “Production mechanism and development tactics on sandstone reservoirs with bottom water,” Acta Petrolei Sinica, vol. 18, no. 2, pp. 63–64, 1997.
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