DBPapers
DOI: 10.5593/SGEM2016/HB14/S01.006

APPLICATION OF ARTIFICIAL INTELLIGENCE IN CO2-EOR PROCESS OPTIMIZATION

D. Janiga, J. Stopa, P. Wojnarowski
Friday 11 November 2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, SGEM Vienna GREEN Extended Scientific Sessions, www.sgemviennagreen.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-80-3 / ISSN 1314-2704, 2 - 5 November, 2016, Book 1 Vol. 4, 41-48pp, DOI: 10.5593/SGEM2016/HB14/S01.006

ABSTRACT

The application of Enhanced Oil Recovery (EOR) techniques is encouraged by the current oil price and the growing of global demand for oil. Among them carbon dioxide (CO2-EOR) is a technology to improve oil production combine with geological sequestration. Optimization method base on the artificial intelligence (AI) can be used as a tool to support decision about well location, well exposure or well control. AI tools mimic intelligent human behaviors and use the acquired knowledge in new situations. CO2 EOR process involves the determination of optimal well placement and control strategy to maximize objective function express project economic value. The problem of well location, perforation interval or even well type in heterogeneous formation is difficult because of roughness and multimodal of the objective function. Well control optimization involves determining the time dependent operating variables like bottom hole pressure or oil and gas rates. An additional difficulty is associated with number of production and injection wells, and CO2 injection time as well. This paper is an attempt to create synergy between AI tools and reservoir simulation to determine optimum CO2-EOR policy. Optimization procedure base on genetic algorithm and particle swarm which belongs to derivative-free algorithms. Well location is supporting by expert system merge available reservoir information. The combining reservoir modeling and AI tool approach used in this study illustrates an improved approach to optimizing CO2-EOR process.

Keywords: EOR-CO2, optimization, artificial intelligence

PAPER DOI: 10.5593/SGEM2016/HB14/S01.006, APPLICATION OF ARTIFICIAL INTELLIGENCE IN CO2-EOR PROCESS OPTIMIZATION

35 EURO ADD TO CART


Your cart ( items)

Subtotal:
Tax cost ():
Shipping cost:
Total:
Checkout Empty