Determination of the reservoir pressure dynamics based on multiwell deconvolution in low-permeability reservoirs

UDK: 622.276.5.001
DOI: 10.24887/0028-2448-2025-4-93-97
Key words: reservoir pressure, multiwell deconvolution, fictitious periodic buildups method, pseudo-stabilization pressure time, welltests, RN-VEGA software package
Authors: R.R. Urazov (RN-BashNIPIneft LLC, RF, Ufa); O.V. Akhmetova (RN-BashNIPIneft LLC, RF, Ufa); A.Ya. Davletbaev (RN-BashNIPIneft LLC, RF, Ufa; Ufa University of Science and Technology, RF, Ufa); I.A. Zarafutdinov (RN-BashNIPIneft LLC, RF, Ufa); V.V. Spele (RN-BashNIPIneft LLC, RF, Ufa); R.M. Amekachev (RN-BashNIPIneft LLC, RF, Ufa); V.P. Miroshnichenko (RN-Yuganskneftegaz LLC, RF, Nefteyugansk); G.A. Shutskiy (RN-Yuganskneftegaz LLC, RF, Nefteyugansk); A.V. Sergeychev (Rosneft Oil Company, RF, Moscow)

The article describes the advantages of using multiwell deconvolution to determine reservoir pressure at all operation stages of the well under study. The workflow process of reservoir pressure recovery in the presence of interfering wells is given. The RN-VEGA software package has the functionality of restoring reservoir pressure dynamics based on multi-well deconvolution and the method of fictitious periodic buildups in a customized deconvolution model. The functionality was tested on synthetic data and approbated on actual data of oil wells in low-permeability reservoirs. The values of the model parameters used in testing are close to the geological and physical characteristics of deposits with low-permeability reservoirs. The test well operation histories containing drawdown and buildup periods were modeled for testing. The last interval containing the buildup was removed from the synthetic histories. The deconvolution model is adjusted based on the reduced history data, the reservoir pressure was restored using the fictitious buildups method, with the duration of the fictitious buildups corresponding to the duration of the removed buildup. The value of the restored reservoir pressure at the beginning of the buildup was then compared with the value of the model bottomhole pressure at the end of the buildup. The functionality was approbated on production data using the same scenario. The results of testing and approbation were presented, which showed good coherence between the value of the restored reservoir pressure and the value of the bottomhole pressure at the end of the actual buildup.

References

1. Cumming J.A., Wooff D.A., Whittle T., Gringarten A.C., Multiwell deconvolution, SPE-166458-PA, 2014, DOI: http://doi.org/10.2118/166458-PA

2. Levitan M.M., Deconvolution of multiwell test data, SPE-102484-MS, 2006, DOI: http://doi.org/10.2118/102484-MS

3. Asalkhuzina G.F., Davletbaev A.Ya., Salakhov T.R., Loshak A.A. et al., Applying decline analysis for reservoir pressure determination (In Russ.),

Neftyanoe khozyaystvo = Oil Industry, 2022, no. 10, pp. 30-33, DOI: http://doi.org/10.24887/0028-2448-2022-10-30-33

4. Earlougher R.C. Jr., Advances in well test analysis, SPE Monograph Series, 1977, V. 5, 264 p.

5. Dake
L.P., The practice of reservoir engineering, Elsevier Science, 2001, 570 p.


Attention!
To buy the complete text of article (Russian version a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .