Digital solutions for field development surveillance based on permanent distributed fiber-optic systems

UDK: 622.276.1/.4:681.518
DOI: 10.24887/0028-2448-2022-3-54-60
Key words: oil recovery, horizontal wells, production logging, well-testing, dynamic reservoir modeling
Authors: A.I. Ipatov (Gazpromneft STC LLC, RF, Saint-Petersburg; Gubkin University, RF, Moscow), M.I. Kremenetsky (Gazpromneft STC LLC, RF, Saint-Petersburg; Gubkin University, RF, Moscow), A.A. Andrianovsky (OptoMonitoring LLC, RF, Moscow), A.V. Trusov (OptoMonitoring LLC, RF, Moscow), D.N. Gulyaev (Gubkin University, RF, Moscow), V.V. Solovyova (Gubkin University, RF, Moscow)

The paper is focused on innovative technologies of well and reservoir real-time surveillance for both data recording, and further study of the thermo-dynamic processes around the well and the reservoir. In particular, a special role is given to temperature field, the most promising method of cased-hole production logging. Today, such a tool as distributed fiber-optic downhole temperature and acoustic sensors record an enormous amount of information at a high speed, and this is possible in real time. In this regard, there is a need for the development of specialized software that allows for primary processing and interpretation of distributed temperature records by fiber-optic. This need contributed to the activation of the creation of software and methodological support (SMS) of DTS - software aimed at solving the mentioned above tasks: a portal for data documentation and analytical module for interpretation of a distributed temperature records. This paper discusses approaches to the software concept. In addition, some requirements for the composition, structure and principles of operation of such software-analytical products are substantiated and outlined, recommendations are given for their practical use when working with the results of fiber-optic temperature records. Implementation of the presented approaches to increasing the efficiency of oil and gas fields development, namely: clarification and adaptation of the current dynamic model of the field, assess the degree and reasons for the decrease in well productivity, identify the places of water breakthroughs, as well as which hydraulic fracturing ports or wellbore intervals are not flowing. A clear advantage of the proposed concept of data interpretation lies in the fact that the presented fiber-optic technologies are simultaneously elements of instrumental digital control and a digital processing system for geomonitoring processes, capable of providing optimal well control during long-term production.

References

1. Ipatov A.I., Kremenetskiy M.I., Kaeshkov I.S., Buyanov A.V., Experience in the application of distributed fiber optic thermometry for monitoring wells in the company Gazprom Neft (In Russ.), PRONEFTʹ. Professionalʹno o nefti, 2017, no. 3, pp. 55–64.

2. Ramazanov A.Sh., Sadretdinov A.A., The use of simulators for the quantitative interpretation of thermal logs (In Russ.), Karotazhnik, 2014, no. 9, pp. 38–46.

3. URL: https://www.slb.ru/services/wireline/ production_logging/flow_scanner.

4. Ipatov A.I., Andrianovskiy A.V., Voronkevich A.V. et al., Study of seismoacoustic effects in an producing oil horizontal well based on a fiber-optic cable sensor DAS (In Russ.), PRONEFTʹ. Professional'no o nefti, 2021, no. 2, pp. 52–59, DOI: 10.51890/2587-7399-2021-6-2-50-57

5. Aslanyan A., Aslanyan I., Karantharath R. at al., Spectral noise logging integrated with high-precision temperature logging for a multi-well leak detection survey in South Alberta, SPE-175450-MS, 2015, https://doi.org/10.2118/175450-MS

6. Kremenetskiy M.I., Ipatov A.I., Primenenie promyslovo-geofizicheskogo kontrolya dlya optimizatsii razrabotki mestorozhdeniy nefti i gaza (Application of field geophysical control to optimize the development of oil and gas fields), Part II. Rol' gidrodinamiko-geofizicheskogo monitoringa v upravlenii razrabotkoy (Role of hydrodynamic and geophysical monitoring in development management), Moscow – Izhevsk: Publ. of Institute of Computer Science, 2020, 756 p.


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