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Algorithm for Determining the Permeability and Compaction Properties of a Gas Condensate Reservoir based on a Binary Model | ||
Journal of Applied and Computational Mechanics | ||
مقاله 19، دوره 8، شماره 3، مهر 2022، صفحه 1014-1022 اصل مقاله (476.88 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22055/jacm.2022.39336.3389 | ||
نویسندگان | ||
Mahammad Jamalbayov1؛ Tayfun Jamalbayli2؛ Nazile Hajiyeva3؛ Jafarov Allahverdi4؛ Fikret A. Aliev* 3 | ||
1SOCAR "OilGasScientificResearchProject" Institute, AZ1122, Hasan bey Zardabi, 88А, Baku, Azerbaijan | ||
2Azerbaijan State Oil and Industry University, 16/21 Azadliq Ave. Baku, Azerbaijan | ||
3Institute of Applied Mathematics Baku State University, Baku, Azerbaijan | ||
4Azerbaijan Pedagogical University, Baku, Azerbaijan | ||
چکیده | ||
The paper proposes a new technique for the well-test data interpretation using two different steady-state flow tests of gas condensate well to determine the initial value of the effective reservoir permeability and the permeability change factor. The described technique has been developed on the base of the Binary filtration model of a multicomponent hydrocarbon system which considers the gas-condensate mixture as a composition of two pseudo components, taking into account the phase transformation of pseudo components and the mass exchange between the phases. The implementation of the new method requires data on well flow rates measured in two different steady-state conditions. The presented algorithm is verified on a number of examples (including real data) covering a wide range of changes in reservoir pressure and reservoir compaction factor. The results of a number of numerical experiments have confirmed the high reliability of the proposed technique. | ||
کلیدواژهها | ||
Gas-condensate؛ permeability؛ rocks compaction؛ permeability change profile؛ well-test data interpretation | ||
مراجع | ||
[1] Wendt, W.A., Sakurai, S., Nelson, P.H., Permeability Prediction from Well Logs Using Multiple Regression, Reservoir Characterization, Academic Press, New York, 1986.
[2] Hasanov, M.M., Spivak, S.I., Yulmukhametov, D.R., Determination of permeability from well test data as improperly posed problem, Oil and Gas Engineering, 3(1), 2005, 155-166.
[3] Dubrule, O., Haldorsen, H.H., Geostatistics for Permeability Estimation, in Lake, Reservoir Characterization, Academic Press, New York, 1986.
[4] Farshidi, S., Yu, D.F., Slade, J., Pooladi-darvish, M., Mattar, L., Permeability Estimation from Inflow Data During Underbalanced Drilling, Journal of Canadian Petroleum Technology, 47(6), 2008, 56-63.
[5] Guo, J., Estimation of Permeability and Viscoelastic Properties of Shale by Three-Point Bending Test, SEG Annual Meeting, New Orleans, Louisiana, 2015.
[6] Angeles, R., Torres-Verdin, C., Lee, H.J., Alpak, F.O., Sheng, J., Estimation of Permeability and Permeability Anisotropy from Straddle-Packer Formation-Tester Measurements Based on the Physics of Two-Phase Immiscible Flow and Invasion, SPE Journal, 12(3), 2007, 339-354.
[7] Farahani, Z.D., Ahmadi, M., Sharifi, M., History matching and uncertainty quantification for velocity dependent relative permeability parameters in a gas condensate reservoir, Arabian Journal of Geosciences, 12(15), 2019, 1-19.
[8] Pope, G.A., Wu, W., Narayanaswamy, G., Delshad, M., Sharma, M.M., Wang, P., Modeling relative permeability effects in gas-condensate reservoirs with a new trapping model, SPE Reservoir Evaluation & Engineering, 3(2), 2000, 171-178.
[9] Jamiolahmady, M., Sohrabi, M., Ireland, S., Ghahri, P., A generalized correlation for predicting gas-condensate relative permeability at near wellbore conditions, Journal of Petroleum Science and Engineering, 66(3-4), 2009, 98-110.
[10] Jamiolahmady, M., Danesh, A., Tehrani, D.H., Duncan, D.B., Positive effect of flow velocity on gas-condensate relative permeability: network modelling and comparison with experimental results, Transport in Porous Media, 52(2), 2003, 159-183.
[11] Sergeev, V.L., Hoai Phuong, N.T., Krainov, A.I., Gorlach, A.Y., Adaptive System for Analysis and Interpretation of Combined Well Test Data, Society of Petroleum Engineers, SPE Russian Petroleum Technology Conference, Paper Number: SPE-187761-MS, DOI: https://doi.org/10.2118/187761-MS, 2017.
[12] Cumming, J.A., Botsas, T., Jermyn, I.H., Gringarten, A.C., Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. Society of Petroleum Engineers, SPE Europec, Paper Number: SPE-200617-MS, DOI: https://doi.org/10.2118/200617-MS, 2020.
[13] Pitzer, S.C., Rice, J.D., Thomas, C.E., A Comparison of Theoretical Pressure Build-Up Curves with Field Curves Obtained from Bottom-Hole Shut-In Tests, Journal of Petroleum Technology, 11(8), 2014, 49–52.
[14] Khosravi, V., Ketabi, S., Well Test Analysis of Gas Condensate Reservoirs from Pressure Build Up and Draw Down Tests, Offshore Technology Conference-Asia, Kuala Lumpur, Malaysia, Paper Number: OTC-24897-MS, https://doi.org/10.4043/24897-MS, 2014.
[15] Mehdizadeh Khalsaraei, M., Shokri, A., A new explicit singularly P-stable four-step method for the numerical solution of second order IVPs, Iranian Journal of Mathematical Chemistry, 11(1), 2020, 17-31.
[16] Aliev, F.A., Ilyasov, M.H., Dzhamalbekov, M.A., Simulation of gas lift wells, Report of the NAS Azerb, 2008.
[17] Shokri, A., A new eight-order symmetric two-step multiderivative method for the numerical solution of second-order IVPs with oscillating solutions, Numerical Algorithms, 77(1), 2018, 95-109.
[18] Jamalbayov, M., Hasanov, I., Valiyev, N., Ibrahimov, K., Mathematical Modeling of the Depletion of a Compacting Gas-Condensate Reservoir with Creeping Effects, Proceedings of the 7th International Conference on Control and Optimization with Industrial Applications, Baku, Azerbaijan, II, 2020.
[19] Shor, Y.B., Statistical methods of analysis and reliability and quality control, Gosenergoizdat, 1962, 552. | ||
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