Assessing Waterflood Efficiency with Deconvolution Based Multi-Well Retrospective Test Technique

Authors
Artur Aslanyan (Nafta College) | Fedor Grishko (Salym Petroleum Development N.V.) | Vladimir Krichevsky (Sofoil) | Danila Gulyaev (Sofoil) | Ekaterina Panarina (Sofoil) | Anton Buyanov (Polykod)
DOI
https://doi.org/10.2118/195518-MS
Document ID
SPE-195518-MS
Publisher
Society of Petroleum Engineers
Source
SPE Europec featured at 81st EAGE Conference and Exhibition, 3-6 June, London, England, UK
Publication Date
2019
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-661-4
Copyright
2019. Society of Petroleum Engineers
Keywords
multiwell deconvolution, waterglood optimisation, EOR, formation pressure
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Abstract

A waterflood study has been performed on a heterogeneous oil deposit with a rising water-cut and production decline after 10 years of commercial production.

The objective was to analyze the efficiency of waterflood patterns across the field and suggest injection optimization opportunities.

The production is facilitated by ESP with Permanent Downhole Gauges (PDGs) which provides an opportunity to analyze the productivity index and cross-well interference.

The PDG analyzes was performed in PolyGon pressure modelling facility and followed Multi-well Retrospective Testing (MRT) workflow which is based on the mathematical procedure of multiwell deconvolution (MDCV).

MDCV trains the correlation between bottom-hole pressure (BHP) variations from PDG data records and rates variations from daily production history of a given well and other wells around it.

This provides a robust short-term predictor for production response for different rate/BHP scenarios and makes a basis for injection optimization opportunities.

MDCV allows reconstructing formation pressure and productivity index back in time, pick up the changes and understand if they were caused locally (by skin) or massively (by transmissibility).

The diffusion modelling of deconvolved data allows a robust quantification of some reservoir properties in cross-well intervals, such as the current drained volume around each well, potential drained volume (as if the offset wells are shut-down), apparent cross-well transmissibility, boundary types and compare them against the various geological scenarios and possible well-reservoir contact scenarios.

The quantitative analysis allows picking up anomalously high cross-well interference which may be caused by thin-bedding circuiting or induced fracture. It also provides a strong hint for thief-injection and thief-production in cases of poor cross-well interference.

File Size  2 MBNumber of Pages   18

Aslanyan, A., Kovalenko, I., Ilyasov, I., Gulyaev, D., Buyanov, A., & Musaleev, K. (2018, December 10). Waterflood Study of High Viscosity Saturated Reservoir with Multiwell Retrospective Testing and Cross-Well Pressure Pulse-Code Testing. Society of Petroleum Engineers. doi:10.2118/193712-MS

Aslanyan, A., Gilfanov, A., Gulyaev, D., Krichevsky, V., & Timerbaev, M. (2017, October 16). Dynamic Reservoir-Pressure Maintenance System Study in Carbonate Reservoir with Complicated Pore Structure by Production Analysis, Production Logging and Well-Testing (Russian). Society of Petroleum Engineers. doi:10.2118/187776-RU

Polygon v2.1 Pressure and Rate data processing and simulation facility, Operation Manual, Polykod Softwares, 2016

Levitan, M. M., Crawford, G. E., Hardwick, A. 2006. Practical Considerations for Pressure-Rate Deconvolution of Well Test Data. Society of Petroleum Engineers. doi:10.2118/90680-PA. doi:org/10.2118/90680-PA

Levitan, M. M. 2007. Deconvolution of Multiwell Test Data. Society of Petroleum Engineers. doi:10.2118/102484-PA. doi:org/10.2118/102484-PA

Zheng, S.-Y., & Wang, F. (2009, January 1). Multi-Well Deconvolution Algorithm for the Diagnostic, Analysis of Transient Pressure With Interference From Permanent Down-hole Gauges (PDG). Society of Petroleum Engineers. doi:10.2118/121949-MS. doi:org/10.2118/121949-MS

Zheng, S., & Wang, F. (2010, January 1). Extraction of Interference from Long Term Transient Pressure Using Multi-Well Deconvolution Algorithm for Well Test Analysis. Society of Petroleum Engineers. doi:10.2118/131294-MS. doi:org/10.2118/131294-MS

Cumming, J., Wooff, D., Whittle, T., & Gringarten, A. C. (2014, November 1). Multiwell Deconvolution. Society of Petroleum Engineers. doi:10.2118/166458-PA. doi:org/10.2118/166458-PA

Thornton, E. J., Mazloom, J., CNOOC, N., Gringarten, A. C., & Cumming, J. A. (2015, June 1). Application of Multiple Well Deconvolution Method in a North Sea Field. Society of Petroleum Engineers. doi:10.2118/174353-MS. doi:org/10.2118/174353-MS

Tung, Y., Virues, C., Cumming, J., & Gringarten, A. (2016, May 30). Multiwell Deconvolution for Shale Gas. Society of Petroleum Engineers. doi:10.2118/180158-MS. doi:org/10.2118/180158-MS

De Gaetano, V., Azzarone, E., Beretta, E., & Tripaldi, G. (2015, June 1). Eni TLS Deconvolution for the Reservoir Management. Offshore Mediterranean Conference. https://www.onepetro.org/conference-paper/OMC-2015-400

Kim, J., Lee, H., & Sung, W. (2016, June 26). Deconvolution for Pressure-interfered Production Data of Multiple Shale Gas Wells Containing Sorption Characteristics. International Society of Offshore and Polar Engineers. https://www.onepetro.org/conference-paper/ISOPE-I-16-622

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