RoCES technology application in geological modelling
Abstract
The area of Chona field that is explored with transient electromagnetic survey is 3350 square kilometers that is about 50 % of the whole license area. At the moment the approaches to integration TEM data in geological modelling directly are developed since taking into account TEM data can reduce uncertainty of reservoir saturation. The approach to analysis of TEM data and its application in geological modelling process to determine reservoir saturation and reduce uncertainty of OWC/ GOC is provided. The process is a multivariant modelling of electrical properties as specific electrical resistance and longitudinal conductance that correspond to geological realizations and comparison of synthetic electrical properties with properties that were obtained from TEM data inversion. The problem of geological realization ranking and optimal value of uncertain parameters determination is solved with calculation of residual error between synthetic electrical parameters and measured ones..
About the Authors
P. Ya. MostovoiRussian Federation
Saint-Petersburg
A. V. Ostankov
Russian Federation
Saint-Petersburg
P. A. Oshmarin
Russian Federation
Saint-Petersburg
O. A. Tokareva
Russian Federation
Irkutsk
D. A. Orlova
Russian Federation
Irkutsk
I. F. Safarov
Russian Federation
Saint-Petersburg
V. S. Vorobev
Russian Federation
Saint-Petersburg
References
1. Vorob'ev V. S., Chekanov I. V., Klinovaya Ya. S., The distribution model of terrigenous reservoirs and saline sand-gravelite deposits within the fields of the central part of the Nepal arch (In Russ.), Geologiya nefti i gaza = The journal Oil and Gas Geology, 2017, no. 3, pp. 47 – 61.
2. Oshmarin R. A., Ostankov A. V., Kompaniets S. V., Tokareva O. V., Capabilities and limitations of electromagnetic techniques in Eastern Siberia , SPE 182082-MS, 2016.
3. Smirnov A. S., Gorlov I. V., Yaitskiy N. N., Gorskiy O. M., Ignat'ev S. F., Pospeev A. V., Vakhromeev A. G., Agafonov Yu. A., Buddo I. V., Integration of geological and geophysical data is a way to design an accurate model of the Kovykta gas condensate deposit (In Russ.), Geologiya nefti i gaza = The journal Oil and Gas Geology, 2016, no. 2, pp. 56 – 66.
Review
For citations:
Mostovoi P.Ya., Ostankov A.V., Oshmarin P.A., Tokareva O.A., Orlova D.A., Safarov I.F., Vorobev V.S. RoCES technology application in geological modelling. PROneft. Professionally about Oil. 2017;(4):26-31. (In Russ.)