Abstract
Foam acid diversion is a widely adopted well stimulation technique based on its superior efficiency and applicability to reservoir layers with varying permeability. However, no study has critically analyzed the performance of a well after foam acid diversion operation from a field perspective. In this study, Well 2L was used as case study, and the field data obtained from the Nigerian Petroleum Development Company were carefully analyzed using pressure transient equations. A clustered column chart was used to compare the performance of the well before and after acid foam diversion. Combining the results of previous researches, the causes of formation damage due to the initial decline in the productivity of Well 2L was established. The results indicated that, first, a rapid decline in production of Well 2L before foam acid diversion was due to formation damage by drilling and completion operations previously carried out on the well. Second, after foam acid diversion, the productivity of Well 2L remarkably increased by 70%, suggesting that the application of foam acid diversion significantly improves oil recovery .
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Abbreviations
- Ø:
-
Porosity
- B:
-
Formation volume factor
- BHP:
-
Bottom hole pressure
- BS & W:
-
Base sediment and water
- b/d:
-
Barrel per day
- C3:
-
Clustered column chart
- Ct:
-
Compressibility factor
- H:
-
Total reservoir thickness
- hp:
-
Height of perforation
- ht:
-
Height of interval
- J:
-
Productivity index
- K:
-
Formation permeability
- KH:
-
Horizontal permeability
- Kv:
-
Vertical permeability
- M:
-
Honer’s plot slope
- mD:
-
Milli Darcy
- Pavg:
-
Average pressure
- Ppt:
-
Part per thousand
- Pwf:
-
Flowing well pressure
- Pws:
-
Static well pressure
- ΔPs:
-
Pressure drop due to skin
- Q:
-
Production flowrate
- Sd:
-
Skin effect due to damage
- Sp:
-
Skin due to incomplete perforation
- tp:
-
Total production time
- µ:
-
Viscosity
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Okere, C.J., Zheng, L., Su, G., Liu, H., Chang, Q., Obiafudo, O.J. (2021). Critical Analysis of Productivity of Well 2L After Foam-Acid Diversion. In: Zheng, L., Sun, C., Goh, KL. (eds) Proceedings of MEACM 2020. MEACM 2020. Mechanisms and Machine Science, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-030-67958-3_3
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