Evaluating the efficiency of using different variants of background models for inversion calculations
https://doi.org/10.31660/0445-0108-2020-5-36-52
Abstract
The use of the method of seismic data acoustic inversion, in the presence of thick gas cap, can lead to difficulties when building background models of elastic parameters. In this regard, in the conditions of acoustically contrast thin environments within the perimeter of the Russkoye oil and gas condensate field, in addition to the standard version based on the well data, the authors considered a number of modified techniques ("block", "flat", and background models). The use of these background models provided the best results and made it possible to significantly improve the quality of predicting rock properties; based on the drilling results, effective penetration was ensured at 66 %, which was 102 % of the plan. Also, based on the inversion results, it became possible to predict reservoir properties using the Bayesian lithotype classification method.
About the Authors
I. A. Kopysova
Tyumen Petroleum Scientific Center LLC
Russian Federation
Russian Federation
Irina A. Kopysova, Team Leader at Drilling Support Section, Yamal Subsurface Division UGRM Yamal
Tyumen
A. S. Shirokov
Tyumen Petroleum Scientific Center LLC
Russian Federation
Russian Federation
Andrey S. Shirokov, Project Leader, Project Office Subsurface Block
Tyumen
D. V. Grandov
Tyumen Petroleum Scientific Center LLC
Russian Federation
Russian Federation
Dmitry V. Grandov, Chief Manager, Project Office Subsurface Block
Tyumen
S. A. Eremin
Tyumen Petroleum Scientific Center LLC
Russian Federation
Russian Federation
Sergey A. Eremin, Head of New Ventures Subsurface Division
Tyumen
E. N. Zhilin
Tyumen Petroleum Scientific Center LLC
Russian Federation
Russian Federation
Evgeny N. Zhilin, Head of Geology and Drilling Support Section, New Ventures Subsurface Division
Tyumen
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Review
For citations:
Kopysova I.A., Shirokov A.S., Grandov D.V., Eremin S.A., Zhilin E.N. Evaluating the efficiency of using different variants of background models for inversion calculations. Oil and Gas Studies. 2020;(5):36-52. (In Russ.) https://doi.org/10.31660/0445-0108-2020-5-36-52
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