Application of deconvolution methods to eliminate wellbore storage effect in determining the parameters of oil reservoirs by well testing tools

Authors

1 Department of petroleum engineering-Ahvaz Faculty of petroleum-Petroleum University of Technology (PUT)- Ahvaz - Iran

2 Master's Degree in Petroleum Engineering, Department of Petroleum Engineering, Islamic Azad University, Omidiye branch, Iran

3 Petroleum Engineering Department, Faculty of Petroleum Engineering, Petroleum University of Technology, Ahvaz, Iran

Abstract

Well testing is a reservoir engineering technique to determine the characteristics of the well, reservoir, and near wellbore. The results of well tests can be used to calculate reservoir characteristics such as permeability, initial pressures, skin effects, and reservoir geometry. Thus, well testing will enable evaluation of well production conditions, fluid sampling and prediction of field development scenarios. Well test data is analyzed based on bottom-hole pressure variations versus time. At the initial stages of well testing, the bottom-hole flow rate is very high due to the wellbore storage effect. This makes well test data analysis very difficult because tests are short. For this reason, it is necessary to accurately measure the flow at the beginning of the tests. In addition, down-hole measurement devices are very costly with low accuracy at low flow rates. If long-term well testing is not possible, obtaining maximum information from conducting a normal test with interpretation and analysis methods is the best alternative. The deconvolution method is one of the methods of interpreting and extracting well test data. Different deconvolution techniques are applied to interpret initial pressure data affected by the wellbore storage effect. This study used only the pressure response of the wellbore storage area to interpret well test data from two wells in a fractured reservoir in Iran. It compared the obtained results with Horner’s well test results. Additionally, three deconvolution techniques were used: material balance, beta, and Russell. The obtained results indicated the relative efficiency and accuracy of the techniques.

Keywords

Main Subjects

References

Bourdet, D., Whittle, T., Douglas, A., Pirard, Y., 1983. A new set of type curves simplifies well test analysis. World oil  196, 95-106.
Earlougher, R.C., 1977. Advances in well test analysis. Henry L. Doherty Memorial Fund of AIME New York. P. 264.
Gladfelter, R., Tracy, G., Wilsey, L., 1995. Selecting wells which will respond to production-stimulation treatment. Drilling and Production Practice conference. American Petroleum Institute.
Gravand, R., Nakhai, A., Abbasi, M., 2021. Performance evaluation of matrix acidizing operation in a multi-layer carbonated condensate gas tank by combining the results of well test analysis and interpretation of the production chart. Advanced Applied Geology 11, 838-855. https://doi.org/10.22055/aag.2020.34456.2144.
Gringarten, A., Ramey Jr., H., Raghavan, R., 1975. Applied pressure analysis for fractured wells. Journal of Petroleum Technology  27, 887-892.  https://doi.org/10.2118/5496-PA.
Johnston, J.L. 1992. Variable rate analysis of transient well test data using semi-analytical methods, Texas A&M University.
Joseph, J.A., Koederitz, L.F., 1982. A simple nonlinear model for representation of field transient responses. Society of Petroleum Engineers  Conference proceedings.
Kuchuk, F.J., 1990. Gladfelter deconvolution. SPE Formation Evaluation 5, 285-292.
Matthews, C.S., Russell, D.G., 1967. Pressure buildup and flow tests in wells. Henry L. Doherty Memorial Fund of AIME. P. 27
Ramey Jr, H., 1970. Short-time well test data interpretation in the presence of skin effect and wellbore storage. Journal of Petroleum Technology  22, 97-104.  https://doi.org/10.2118/2336-PA.
Russell, D.G., 1966. Extensions of pressure build-up analysis methods. Journal of Petroleum Technology 18, 1,624-621. https://doi.org/10.2118/1513-PA.
Van Everdingen, A., Hurst, W., 1949. The application of the Laplace transformation to flow problems in reservoirs. Journal of Petroleum Technology  1, 305-324. https://doi.org/10.2118/949305-G.
Advanced Applied Geology
Volume 14, Issue 2
In progress
June 2024
Pages 328-349

Files

Share

How to cite

Statistics