MULTIPLE VARIABLE REGRESSION ANALYSIS FOR THE PERMEABILITY PREDICTION OF UNCORED WELL INTERVALS IN THE SOUTH TURGAY BASIN'S OILFIELD

Авторы: Abirov R., Ivakhnenko A.P., Eremin N.A.
Сборник: Proceedings of seventh international scientific & practical conference 605 p. ISBN 978-601-269-055-2
Серия: Innovative development problems in oil & gas industry the seventh international scientific & practical conference
Год издания: 2015
Место издания: Kazakh-British Technical University Kazakhstan
Первая страница: 138
Последняя страница: 142
Аннотация: We are used real core and wireline logging data from the field that located in the South Turgay basin, Kazakhstan. The field is the sandstone reservoir comprised from the sand bodies. There are four main productive horizons. Permeability of the main oil horizons varies from 0,031 to 2,2 μм2. Coring operation is expensive so sometimes well some intervals remain uncored. Thus it is needed to do the permeability prediction for the uncored well intervals for better reservoir description, reserves estimation and etc. We are applied statistical method known as multiple variable regression to predict the permeability from wireline logging data and then compare it to the core-determined data that considered to be standard. Resulted mathematical model for the cored model can be used for the future well’s uncored interval permeability prediction.
Добавил в систему: Еремин Николай Александрович

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