The RN-VEGA program complex for well test analysis and interpretation

UDK: 622.276.1/.4.001.57
DOI: 10.24887/0028-2448-2023-12-124-129
Key words: well test, program complex, interpretation, factor analysis, machine learning, Pressure buildup curve, production prediction, pseudo-pressure
Authors: V.V. Sarapulova (RN-BashNIPIneft LLC, RF, Ufa), A.Ya. Davletbayev (RN-BashNIPIneft LLC, RF, Ufa), A.F. Kunafin (RN-BashNIPIneft LLC, RF, Ufa), R.R. Urazov (RN-BashNIPIneft LLC, RF, Ufa), A.H. Nuriev (RN-BashNIPIneft LLC, RF, Ufa), I.A. Zarafutdinov (RN-BashNIPIneft LLC, RF, Ufa), R.I. Abdullin (RN-BashNIPIneft LLC, RF, Ufa), A.V. Pestrikov (Rosneft Oil Company, RF, Moscow), I.R. Yamalov(Rosneft Oil Company, RF, Moscow)

Monitoring the development of a hydrocarbon field begins with the recording of field dynamic data, such as measurements during well test. These data are then used to solve various field tasks: issuing recommendations on well operation, developing measures to improve the efficiency of the reservoir pressure maintenance and development system, estimating reserves, building a hydrodynamic model, and so on. In specialized program complexes are used for interpretation of well testing data, both domestic and foreign. Rosneft Oil Company is one of the industry leaders that successfully develop knowledge-intensive software covering all key oil and gas production processes. The software lineup currently includes 24 software products, 10 of which have already been brought to the market. RN-BashNIPIneft is the main developer of Rosneft's engineering software, maintaining the company's high status in this area. The developed software products are used to solve production tasks in geology and design, field development and operation. They surpass analogs in terms of speed and quality of algorithm implementation and offer users a clear and simple interface. In particular, the new program complex RN-VEGA allows interpreting the results of well test – from the preparation of primary data to the issuance of a conclusion. The functionality of RN-VEGA includes effective algorithms and software solutions for determining the most important reservoir properties, such as formation pressure and permeability. The article presents the physical and mathematical basis of pressure field modeling, functional capabilities and examples of practical application of RN-VEGA, approbation results and user solutions.

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