An adaptive approach to processing and interpretation well testing data in order to build seismic models
https://doi.org/10.31660/0445-0108-2020-2-8-17
Abstract
The article is devoted to increasing the efficiency of well testing in the construction of seismic models of oil and gas objects. We suggest using the adaptive approach, which has been developed by us, to processing and interpretation of well testing data; it will increase the efficiency of management of the processing and interpretation of well testing data. The essence of the approach consists of dividing the process into stages, developing for each stage a multivariate decision scheme, and formal criteria for evaluating the results.
A conceptual framework has been developed for the implementation of the proposed approach as applied to the processing and interpretation of well testing data in order to construct seismic models of terrigenous deposits in Western Siberia. We propose formalized criteria for assessing the quality of processing results of well testing data, modeling of well testing curves, and determination of petro-physical parameters. The results obtained are illustrated on practical data on oil fields in Western Siberia.
About the Authors
S. K. Turenko
Industrial University of Tyumen
Russian Federation
Russian Federation
Sergey K. Turenko, Doctor of Engineering, Head of the Department of Applied Geophysics
Tyumen
E. A. Cherepanov
KogalymNIPIneft Branch of LUKOIL-Engineering LLC
Russian Federation
Russian Federation
Evgeny A. Cherepanov, Candidate of Geology and Mineralogy, Associate Professor at the Department of Applied Geophysics, Industrial University of Tyumen, Head of Geophysical Seismic Support Projects and Exploration
Tyumen
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Review
For citations:
Turenko S.K., Cherepanov E.A. An adaptive approach to processing and interpretation well testing data in order to build seismic models. Oil and Gas Studies. 2020;(2):8-17. (In Russ.) https://doi.org/10.31660/0445-0108-2020-2-8-17
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