Solving direct and reverse thermodynamic PROBLEMS for determining fluid flow parameters in wells with intelligent completion system
https://doi.org/10.31143/2221-7789-2026-1-15-20
EDN: UUFVFW
Abstract
An algorithm for solving direct and reverse thermohydrodynamic tasks has been developed in order to define parameters of fluid flow, as well as specifics of working with distributed temperature measurement (DTS) data. The algorithm is demonstrated through an example of real multi-reservoir and multi-phase systems.
About the Authors
Мaksim V. Zuev
Tyumen Oil Research Center LLC
Russian Federation
Russian Federation
Кonstantin М. Fedorov
Tyumen State University
Russian Federation
Russian Federation
Nadezhda А. Chikhareva
Tyumen Oil Research Center LLC
Russian Federation
Russian Federation
Iosif V. Sudi
Tyumen Oil Research Center LLC
Russian Federation
Russian Federation
References
1. Gayazov M.S., Davletshin F.F., Valiullin R.A., et al. Features of the thermal field in a horizontal well in relation to determining the fluid flow rate by active thermometry // Oil and Gas Business. 2023. No. 21 (5). Pp. 6–18.
2. Nowak T.J. The Estimation Water Injection Profiles from Temperature Survey // Petroleum Transaction AIME. 1953. N 198. P. 203-212.
3. Ramey H.J. Wellbore Heat Transmission // Journal of Petroleum Technology. 1962. N 4. P. 427–435.
4. Hasan A.R., Kabir C.S., Wang X. A robust Steady-State Model for Flowing-Fluid Temperature in Complex Well // SPE 109765. Annual Technical Conference. Anaheim, 2007. P. 17–18.
5. Nigmatulin R.I. Continuum Mechanics. Kinematics. Dynamics. Thermodynamics. Statistical Dynamics. Moscow: GEOTAR-Media, 2014. 640 p.
6. Rubinstein, L.I. Temperature Fields in Oil Reservoirs. Moscow: Nedra, 1972. 276 p.
7. Arnold L.V., Mikhailovsky G.A., and Seliverstov V.M. Technical Thermodynamics and Heat Transfer. Vol. 2. Moscow: Vysshaya Shkola. 1979. 446 p.
8. Brown G.B., Kennedy B., Meling T. Using Fiber-Optic Distributed Temperature Measurements to Provide Real-Time Reservoir Surveillance Data on Witch Farm Field Horizontal Extended-Reach Wells // SPE Annual Technical Conference and Exhibition. Dallas, 2000. P. 45–47.
9. Goiffon J. Applications of Fiber-Optic Real-Time Distributed Temperature Sensing in a Heavy-Oil- Production Environment // SPE Annual Technical Conference and Exhibition. Amsterdam: The Netherlands, 2006. P. 7–14.
10. Ryzhov V.A., Lyutoev P.A. Control of steam-cyclic reservoir treatment using the DAS and DTS distributed fiber-optic system in the wells of LUKOIL-Perm LLC // Collection of materials from the 6th Scientific and Practical Conference "Horizontal Wells - 2024". Moscow, 2024. Pp. 281-284.
11. Hasan A.R., Kabir C.S. Fluid Flow and Heat Transfer in Wellbores // SPE Annual Technical Conference and Exhibition. Dallas: SPE. Richardson, 2002. P. 31–36.
12. Brown G., Field D. Production Monitoring Through Openhole Gravel-Pack Completions Using Permanently Installed Fiber-Optic Distributed Temperature Systems in the BP-Operated Azeri Field in Azerbaijan // SPE Annual Technical Conference and Exhibition. Dallas, 2005. P. 5–8.
13. Costello C., Sordyl P., Hughes C. Permanent Distributed Temperature Sensing (DTS) Technology Applied in Mature Fields: A Forties Field Case Study // Proceedings of the SPE Intelligent Energy International. Utrecht: The Netherlands, 2012. P. 12–13.
Review
For citations:
Zuev М.V., Fedorov К.М., Chikhareva N.А., Sudi I.V. Solving direct and reverse thermodynamic PROBLEMS for determining fluid flow parameters in wells with intelligent completion system. Proceedings of the Kabardino-Balkarian State University. 2026;16(1):15-20. (In Russ.) https://doi.org/10.31143/2221-7789-2026-1-15-20. EDN: UUFVFW
Views:
46
JATS XML
Email this article 