Experience and effects of development and integration of digital twins based on AEROSYM soft ware at Dobrinskoye gas and condensate field

Introduction. This paper demonstrates the economic effect of implementing soft ware based on a digital twin that can forecast in real-time and provide recommendations for optimal operating modes of wells and processing facilities, relying on existing sensor data retrieved from the SCADA system and the target performance parameters of the extraction asset.

Aim. The aim of this work is to develop and implement a digital twin system for automated analysis and optimization of gas condensate asset operations, which will increase product output and reduce resource costs.

Materials and methods. The study utilized the so` ware “AEROSYM” and the module “Virtual process engineer” for real-time data integration and analysis. Modules were developed for calculating elements of the “reservoirwell-NGS-UKPG/UPN” system, hydraulic calculations of the gathering manifold, and automatic creation of calculation schemes. Modeling of the gas condensate studies during testing, trial, and development of wells was implemented, considering current measurements of volumetric flow rates.

Results. As a result of implementing the digital twin, resource savings were achieved: a reduction in methanol and electricity consumption by 2–5%. Additionally, through optimizing key parameters of the technological process, the output of marketable products from gas processing facility increased by 3% (LPG) and by 1% (stable condensate).

Conclusion. The implementation of a digital twin for monitoring and optimizing technical parameters of the gas extraction asset has demonstrated its economic efficiency. The system provides prompt calculations and decision-making support based on telemetry data, allowing for minimized costs and increased productivity. The main business effects include an increase in component extraction, enhanced gas production, and a reduced likelihood of technological complications.

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2. Certifi cate of the computer program registration RU 2021664140, 08/31/2021. A so` ware package based on digital twins for on-line monitoring, prediction and optimization of oil and gas production facilities — «Virtual process engineer «: application 08/18/2021: published 08/31/2021/ Imaev S.Z., Dmitriev L.M., Bordachev S.G., Nikolaev E.A., Voytenkov E.V., Rataushkin V.A., Vovchuk L.L. (Russia). — Bull. # 9. — 1 p.