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DEVELOPMENT OF AN APPROACH TO GEOCHEMICAL MODELING OF SUPER-VISCOUS OIL DEPOSITS, TATARSTAN, RUSSIA

Regina Safina

First published: 2018-06-20https://doi.org/10.5593/sgem2018/1.4/s06.051View metrics

Abstract

The development of the world oil industry shows a significant growth of interest to the super-viscous oil deposits. One of the technologies for extracting super-viscous oil is Steam-Assisted Gravity Drainage technology, which has been developed in the 1970s and is still used, including in the Republic of Tatarstan, Russia. Determination of the direction of steam chamber growth, the main operating factor of this method, is the main task of modeling heavy oil deposits. In this paper authors propose modeling of the heavy oil deposits based on geochemical analysis data. The concentration of the chemical compounds, which can be used as indirect indicator of the organic matter`s biodegradation degree, is chosen as key parameter for modeling. As a part of this work the geochemical analysis of core samples from evaluation wells and oil samples from producing wells were carried out. Examination included hydrocarbon fraction isolating and GCMS analysis. Then there have been determined key biomarkers and their concentrations. Based on distribution of biomarkers? concentrations, geochemical model were constructed. It made possible to define oil flow directions during the development of heavy oil fields by SAGD method, and hence the possible boundaries of the steam chamber.

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Publication details

Title
DEVELOPMENT OF AN APPROACH TO GEOCHEMICAL MODELING OF SUPER-VISCOUS OIL DEPOSITS, TATARSTAN, RUSSIA
Authors
Regina Safina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2018
Pages
389-396
SWS Citekey
SAFINA20186389396
ISSN
1314-2704
ISBN
978-619-7408-38-6
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 1

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