02182nab a2200205 4500 20260520001850.0 260224s2010 xxu Development and testing of proxy models for screening cyclic pressure pulsing process in a depleted, naturally fractured reservoir ago. 2010 20/09/2010 ; 20/09/2010 13 p. ; 73-85 Transcripción del resumen del autor. Cyclic pressure pulsing using CO2 and N2 is an effective improved oil recovery method in naturally fractured reservoirs. Determining the optimum design parameters for the process is an arduous task due to the computational cost of simulating a large number of injection schemes. In this paper, we present neural-network based proxy models that mimic a reservoir simulation model and provide estimated quantities of critical performance indicators. The proxy models are trained with a set of representative design scenarios. These design scenarios are run in a compositional, dual-porosity reservoir model and corresponding performance indicators are collected. Cyclic pressure pulsing process is modeled using two huff ‘n’ puff design schemes with variable and constant cyclic injection volumes. The reservoir model is constructed based on reservoir characteristics of the Big Andy Field in Kentucky which is a depleted, naturally fractured reservoir with stripper-well production. Predictive capability and accuracy of developed proxy models are checked by comparing simulation outputs with proxy outputs. It is observed that neural-network based proxy models are able to accurately predict the performance indicators including the peak rate, time to reach the peak rate, cycle flow rates, incremental oil production, and gas–oil ratio. The proposed methodology is practical and computationally efficient in structuring more effective decisions towards the optimum design of the process. 1-2 Journal of Petroleum Science & Engineering 73 ARTICULO Artun, E. 46878 Ertekin, T. 5736 Watson, R. 46879 176997 176997 0 0 0 0 244816 BAAB BAAB 2026-03-05 200048932 0 200048932 2026-03-05 18:58:06 2026-03-05 ARTICULO