Water-Driven Reservoir performance prediction using Integrated Production Modelling
Reservoir performance prediction is an important aspect of oil and gas field development planning and reserves estimation that reflects future reservoir behavior. Reservoir production success is dependent on accurate exemplification of reservoir rock properties, reservoir fluid properties, rock-fluid properties, and reservoir flow performance. Petroleum engineers must have knowledge about reservoir characteristics, production operation optimization and, more importantly, to develop an analytical model that will adequately describe the physical processes occurring in the reservoir. Reservoir performance prediction based on the material balance equation described by several authors such as Muskat, Craft and Hawkins, Tarner, Havlena & Odeh, Tracy and Schilthuis.
This paper compares the estimation of reserves using dynamic simulations in MBAL software and predictive physical equilibrium method after matching the history of both of these models. The results of this paper demonstrate the functionality of MBAL in terms of history matching and performance prediction. The purpose of this paper is to establish the water drive reservoir model and algorithms for each technique are presented and validated with an example. PVT analysis, collecting well data for production and quality checks, quality checking based on determining discrepancies between data and physical reality with the help of correlations. Also, this paper shows the history of the original oil matching the place and size of the aquifer. The conclusions obtained from the various plots between different parameters indicate the history matching data, simulation results, and future performance of the reservoir system and observations of these results that represent the results of similar simulations and future predicted plots.