The performance production analysis of Gialo Paleocene

Critical Oil Rate, Empirical Correlations, Production Performance Analysis, Water Channeling, Water Coning, WOR Diagnostic Plots

Authors

No. 11 (2025): hvbtgvtg
Applied Sciences
2 December 2025
2 December 2025

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Abstract:

Production performance analysis is considered of the important tools of oil reservoir management. This can diagnosis many problems and obstacles early in time, which enable curing then problem in proper time in order to optimize oil production and maximize oil recovery. The performance production analysis of Gialo Paleocene reservoir is done through two parts. The first part of this study attempts to predict critical rate and post-breakthrough performance in vertical and horizontal wells as a result of water coning. The second part includes post breakthrough performance analysis in terms of the Water Oil Ratio (WOR). Gialo Paleocene reservoir studied to predict the oil critical rate, including the correlations of (Meyer-Garder Method, Hoyland-Papatzacos-Skjaeveland Method, Schols Method and Craft and Hawkins Method) in a vertical well and the correlations of (Efros Method, Karchers Method and Joshis Method) in a horizontal well. PVT and Relative permeability data for reservoir were used in the correlations. From result, the critical oil flow rate was calculated by four correlations given different values due to effect of permeability and the pressure depletion effect was neglected in three correlations (Meyer-Garder, Hoyland-Papatzacs-Skjaeveland, Schols). While in horizontal well, the correlations where given small values or inaccurate values for the critical oil rate due to the permeability effect and pressure depletion effect was neglected through the calculations. Finally of this study considers the use of plots of water/oil ratio versus time to diagnose excessive water production mechanisms. From result, Water production in all studied wells was classified based on cause of problem such as coning, channeling

How to Cite

“The Performance Production Analysis of Gialo Paleocene”. 2025. Alrefak Journal for Knowledge 11 (11): 1-26. https://doi.org/10.64489/nd5pmy21.