Estimating reliability of reservoir properties determination on the basis of production analysis and pressure stabilization curves

UDK: 622.276.031.011.43
DOI: 10.24887/0028-2448-2019-8-111-113
Key words: low-permeability reservoir, formation filtration parameters, software KAPPA Workstation, production analysis, pressure stabilization curve
Authors: I.N. Ponomareva (Perm National Research Polytechnic University, RF, Perm), D.A. Martyushev (Perm National Research Polytechnic University, RF, Perm)

The article presents a comparative analysis of three methods for determining the reservoir filtration parameters: the traditional one, based on recording and processing the pressure build-up curve, and two new methods – pressure stabilization curve and production analysis. The method, based on the processing of pressure build-up curves, is theoretically justified; its reliability is confirmed by a long-term history of practical application. The predominant characteristic of the methods of the pressure stabilization curve and production analysis is the lack of a technological stage of a long well shutdown. However, it seems necessary to assess the reliability of the results shown by these methods, in comparison with the traditional method of pressure build-up curve. To solve the problem, we used materials from the records of bottomhole pressure and fluid flow rates in wells of Perm region fields. The pressure build-up and pressure stabilization curves were processed in the KAPPA Workstation v5.20.01 software package (Saphir module), the same software product (Topaz module) was used to process the production data. As a result of the analysis, we can conclude that when comparing the results high convergence was found and the error between the values was less than 5%. Thus, it is possible to use the methods of the pressure stabilization curve and production analysis for determining the parameters of low-permeable reservoirs, when this cannot be done using the pressure build-up curve because of poor data quality (under-restored pressure recovery curves), and based on the reservoir information it is possible to refine the hydrodynamic model and optimize wells operating modes.

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