Analysis of Field Data Using Microsoft Excel and MATLAB Software to Evaluate Reservoir and Well Damage

Anthony Ogbaegbe Chikwe

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

Onyebuchi Ivan Nwanwe *

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

Jude Emeka Odo

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

Chidera Blessing Ezenkwa

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

Ifeanyichukwu Michael Onyejekwe

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

Christian Emelu Okalla

Department of Petroleum Engineering, Federal University of Technology Owerri, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

Reservoir formation damage is a drop in a well's productivity caused by a decrease in reservoir rock permeability. To tackle this issue and maximize well production, obtained pressure build-up time data at a steady production rate from a vertical producing oil WELL 20A, was analysed to establish the wellbore and reservoir characteristics. A numerical well test simulator (Matlab) is used to simulate damage in the area close to the wellbore, a Microsoft Excel sheet and an analytical approach to calculate the impact of wellbore and reservoir factors such as skin, wellbore storage, and average reservoir permeability. In order to determine whether the numerical well test simulator was successful at performing pressure transient analysis on observed data, the findings from the analytical solutions using Microsoft Excel Sheet and numerical well test simulator Matlab were compared. Comparable outcomes for the permeability and skin values were obtained from the build-up test data analysis generated; hence, the negative skin values for wells 20A acquired after the analysis suggest that the formation is not damaged. This indicate that well 20A is not a candidate for workover operations.

Keywords: MATLAB software, reservoir formation damage, permeability


How to Cite

Chikwe , A. O., Nwanwe , O. I., Odo , J. E., Ezenkwa , C. B., Onyejekwe , I. M., & Okalla , C. E. (2024). Analysis of Field Data Using Microsoft Excel and MATLAB Software to Evaluate Reservoir and Well Damage. Journal of Engineering Research and Reports, 26(3), 71–78. https://doi.org/10.9734/jerr/2024/v26i31094

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References

Radwan AE, Abudeif AM, Attia MM, Mahmoud MA. Development of formation damage diagnosis workflow, application on Hammam Faraun reservoir: a case study, Gulf of Suez, Egypt. Journal of African Earth Sciences, 2019;153:42-53.

Radwan AE. Integrated reservoir, geology, and production data for reservoir damage analysis: A case study of the Miocene sandstone reservoir, Gulf of Suez, Egypt. Interpretation, 2021;9(4):1-46. Available:https://doi.org/10.1190/int-2021-0039.1

Civan F. Reservoir formation damage: Fundamentals, modeling, assessment, and mitigation. Gulf Professional Publishing; 2015.

Yuan B, Wood DA. A comprehensive review of formation damage during enhanced oil recovery. Journal of Petroleum Science and Engineering. 2018;167:287-299.

Rezaee R, Clennell B. Water blocking damage in hydraulically fractured tight sand gas reservoirs: an example from Perth Basin, Western Australia. Journal of Petroleum Science and Engineering. 2012;88:100–106. Available:https://doi.org/10.1016/j.petrol.2012.04.012

El Ela MA. Complete and cost-effective approach for diagnosing formation damage and performing successful stimulation operations. Journal of Petroleum Science Research. 2013;2(2): 65–74.

Mahmoud MA. Evaluating the damage caused by calcium sulfate scale precipitation during low-and high-salinity-water injection. Journal of Canadian Petroleum Technology. 2014;53(03):141–150. Available:https://doi.org/10.2118/163067-PA

Fang W, Jiang H, Li J, Li W, Li J, Zhao L, Feng X. A new experimental methodology to investigate formation damage in clay-bearing reservoirs. Journal of Petroleum Science and Engineering. 2016;143:226–234. Available:https://doi.org/10.1016/j.petrol.2016.02.019

Zhao X, Qiu Z, Sun B, Liu S, Xing X, Wang M. Formation damage mechanisms associated with drilling and completion fluids for deepwater reservoirs. Journal of Petroleum Science and Engineering. 2019;173:112–121. Available:https://doi.org/10.1016/j.petrol.2018.09.014

Xu C, You Z, Kang Y, You L. Stochastic modelling of particulate suspension transport for formation damage prediction in fractured tight reservoir. Fuel, 2018;221: 476–490. Available:https://doi.org/10.1016/j.fuel.2018.02.114