Preview

PROneft. Professionally about Oil

Advanced search

Proactive analysis in the field development monitoring

Abstract

The paper presents the approach to monitoring, analysis and management efficiency of oil fields development – proactive block analysis. Powered methodological substantiation implemented as a software module algorithms, scope and results of test calculations.

About the Authors

A. N. Sitnikov
LLC “Gazpromneft STC”
Russian Federation


A. A. Pustovskikh
LLC “Gazpromneft STC”
Russian Federation


A. S. Margarit
LLC “Gazpromneft STC”
Russian Federation


A. V. Akhmetov
LLC “Gazpromneft STC”
Russian Federation


D. Y. Kolupaev
LLC “Gazpromneft-Hantos”
Russian Federation


D. A. Ishchuk
LLC “Gazpromneft-Hantos”
Russian Federation


M. A. Shakirov
LLC “Gazpromneft-Hantos”
Russian Federation


References

1. Ojo K.P., Tiab D., Osisanya S.O., Dynamic material balance equation and solution technique using production and PVT data, Petroleum Society of Canada, 2006, March 1, DOI:10.2118/06-03-03.

2. Rezapour A., Ortega A., Ershaghi I., Reservoir waterflooding system identification and model validation with injection / Production rate fluctuations, SPE 174052-MS, 2015, DOI:10.2118/174052-MS.

3. Ling K., He J., Theoretical bases of Arps empirical decline curves, SPE 161767-MS, 2012, January 1, DOI:10.2118/161767-MS.

4. Doublet L.E., Pande P.K., McCollum T.J., Blasingame T.A., Decline curve analysis using type curves – analysis of oil well production data using material balance time: application to field cases, SPE 28688-MS, 1994, DOI:10.2118/28688-MS.

5. Izgec O., Sayarpour M., Shook G. M., Optimizing volumetric sweep efficiency in waterfloods by integrating streamlines, design of experiments, and hydrocarbon curves, SPE 132609-MS, 2010, DOI:10.2118/132609-MS.

6. Grinestaff G.H., Waterflood pattern allocations: Quantifying the injector to producer relationship with streamline simulation, SPE 54616- MS, 1999, DOI:10.2118/54616-MS.

7. Thiele, M.R., Batycky R.P., Fenwick D.H., Streamline simulation for modern reservoir-engineering workflows, SPE 118608-JPT, 2010, DOI:10.2118/118608-JPT.

8. Cao F., Luo H., Lake L.W., Development of a fully coupled two-phase flow based capacitance resistance model (CRM), SPE 169485-MS, 2014, DOI:10.2118/169485-MS.

9. Gladkov A., Kondakov D., Gareev R. et al., Streamlines for the target injection calculation in complex field conditions (In Russ.), SPE 166874- MS, 2013, DOI:10.2118/166874-MS.

10. Lee K.-H., Ortega A., Jafroodi N., Ershaghi I., A multivariate autoregressive model for characterizing producer-producer relationships in waterfloods from injection/Production rate fluctuations, SPE 132625-MS, 2010, DOI:10.2118/132625-MS

11. El-Khatib N.A., Waterflooding performance in inclined communicating stratified reservoirs, SPE 126344-MS, 2010, DOI:10.2118/126344-MS

12. Galeev D., Dadalko R., Potapov A., Criteria and techniques of waterflooding adjustment for brownfield (In Russ.), SPE 171150-RU, 2014, DOI:10.2118/171150-RU

13. Cao F., Luo H., Lake L.W., Development of a fully coupled two-phase flow based capacitance resistance model (CRM), SPE 169485-MS, 2014, DOI:10.2118/169485-MS.


Review

For citations:


Sitnikov A.N., Pustovskikh A.A., Margarit A.S., Akhmetov A.V., Kolupaev D.Y., Ishchuk D.A., Shakirov M.A. Proactive analysis in the field development monitoring. PROneft. Professionally about Oil. 2016;(1):60-67. (In Russ.)

Views: 110


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-7399 (Print)
ISSN 2588-0055 (Online)