Abstract
Assessment of the suitable enhanced oil recovery method in an oilfield is one of the decisions which are made prior to the natural drive production mechanism. In some cases, having in-depth knowledge about reservoir’s rock, fluid properties, and equipment is needed as well as economic evaluation. Both putting such data into simulation and its related consequent processes are generally very time consuming and costly. In order to reduce study cases, an appropriate tool is required for primary screening prior to any operations being performed, to which leads reduction of time in design of ether pilot section or production under field condition. In this research, two different and useful screening tools are presented through a graphical user interface. The output of just over 900 simulations and verified screening criteria tables were employed to design the mentioned tools. Moreover, by means of gathered data and development of artificial neural networks, two dissimilar screening tools for proper assessment of suitable enhanced oil recovery method were finally introduced. The first tool is about the screening of enhanced oil recovery process based on published tables/charts and the second one which is Neuro-Simulation tool, concerns economical evaluation of miscible and immiscible injection of carbon dioxide, nitrogen and natural gas into the reservoir. Both of designed tools are provided in the form of a graphical user interface by which the user, can perceive suitable method through plot of oil recovery graph during 20 years of production, costs of gas injection per produced barrel, cumulative oil production, and finally, design the most efficient scenario.
Highlights
Enhanced oil recovery is the process of recovering oil by injection of fluids which are not normally present in the reservoir
The first screening tool is based on updated criteria proposed by Al Adasani and Bai [2], so efficient networks developed for classification of EOR methods via miscible and immiscible injection of carbon dioxide, nitrogen and hydrocarbon, while the other, Neuro-Simulation technique used for prediction of reservoir performance and economic evaluation for injection of CO2, N2 and natural gas into the reservoir
For economic evaluation of each method, the price of each gas should be entered by the user, so that amount of cumulative gas injection is utilized in economic evaluation of each approach
Summary
Enhanced oil recovery is the process of recovering oil by injection of fluids which are not normally present in the reservoir. The first screening tool is based on updated criteria proposed by Al Adasani and Bai [2], so efficient networks developed for classification of EOR methods via miscible and immiscible injection of carbon dioxide, nitrogen and hydrocarbon, while the other, Neuro-Simulation technique used for prediction of reservoir performance and economic evaluation for injection of CO2, N2 and natural gas into the reservoir. In case of ANN based tools Surguchev and Li [10] proposed an artificial neural network model for assessment and screening of IOR*/EOR processes, such as water and gas shut off methods, based on applicable ranges for dominant reservoir parameters in mentioned processes. H. Chon [18] generated ANN models for oil recovery, net CO2 storage and cumulative CO2 production, by simulation and collecting total number of 233 numerical samples in training networks and established optimal injection design for various technical and economic reservoir conditions.
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