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Keywords = West Qurna oil field

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17 pages, 3183 KiB  
Article
Influences of Well Test Techniques and Uncertainty in Petrophysics on Well Test Results
by Abdulaziz M. Abdulaziz, Mohamed K. Ali and Omalsaad F. Hafad
Energies 2022, 15(19), 7414; https://doi.org/10.3390/en15197414 - 9 Oct 2022
Cited by 4 | Viewed by 2093
Abstract
In the present study, well logs and well test data of both conventional build-up tests and Mini-DST from different oil and gas fields are utilized to evaluate the effects of uncertainty in petrophysics and test techniques on well test results. This includes producing [...] Read more.
In the present study, well logs and well test data of both conventional build-up tests and Mini-DST from different oil and gas fields are utilized to evaluate the effects of uncertainty in petrophysics and test techniques on well test results. This includes producing wells from the Nile Delta and Western Desert-Egypt together with published results from West Qurna oil field-Iraq. Results indicated that permeability is strongly dependent on petrophysics interpretation, particularly pay thickness, while the radius of investigation is significantly dependent on fluid properties, especially compressibility. The skin factor calculations showed great sensitivity towards the pressure measurements with medium influences on porosity and oil viscosity. The calculations of Mini DST and Build-up test are compared within the uncertainty context for effective permeability, radius of investigation, and skin factor, and the findings are discussed in detail. In all cases, error analysis indicated that well test results and interpretation of conventional build up data are largely stable and may reduce overall uncertainty to 30% of the corresponding Mini-DST results/interpretation. The results of this study not only characterize each input parameter involved in the interpretation of well test data but also confirms the superiority of conventional build-up on Mini-DST techniques. Full article
(This article belongs to the Special Issue The Optimization of Well Testing Operations for Oil and Gas Field)
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