«Automation and Informatization of the fuel and energy complex»

Complex modeling of the oil production processes: analytical review

UDC: 681.5:622.276
DOI: 10.33285/2782-604X-2023-2(595)-51-62

Authors:

¹ Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

Keywords: simulation modeling, modeling of oil production processes, predictive models of oil production, multilevel oil production model

Annotation:

The world scientific community is aware of a lot of oil production mathematical models that solve the problems of predicting the oil flow rate, as well as for debugging the work of structures, technological accounting, and balance sheet profit prediction. However, the presence of many practices applied is a problem for researchers due to the lack of a generally accepted classification of the models used. Thus, this work aims to review the existing practices of modeling oil production processes, considering the applicability of certain types of tools for different levels of modeling. Within the study, the model classification was carried out according to the following criteria: the modeling level, the model type, modeling tools, multilevel solutions (the possibility of making decisions at different modeling levels), the availability of the real field-testing, modeling tasks. The most promising approach in terms of the prediction accuracy and duration is simulation modeling that takes into account the formation structure and geological indicators. Statistical models and machine learning models show an average prediction accuracy, which is caused by limited capabilities to account for the characteristics of the oil production process. This study is an analytical basis for the further research and development in the field of modeling oil production processes.

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