Electromagnetic resistivity pseudo-log as a new instrument for estimating reservoir properties beyond boreholes

Spichak, V.V.; Zakharova, O.K.

Авторы: Spichak V.V., Zakharova O.K.
Журнал: Journal of Applied Geophysics
Том: 215
Год издания: 2023
Издательство: Elsevier BV
Местоположение издательства: Netherlands
Первая страница: 1
Последняя страница: 9
Номер статьи: 105115
DOI: 10.1016/j.jappgeo.2023.105115
Аннотация: A new approach to the reservoir properties’ prediction using so called “electromagnetic resistivity pseudo-log” built in the target location is suggested. It is based on artificial neural network continuation of resistivity well logs beyond boreholes using electromagnetic resistivity profiles determined from adjacent ground electromagnetic survey. As a result of this transformation, we obtain a resistivity profile which possesses high resolution of the borehole resistivity log in the reservoir scale. We demonstrate advantages of this approach by neural network modelling of the porosity prediction below boreholes and in the interwell space. To this end we use electrical logging data collected in two boreholes located in the Northern Tien Shan and results of magnetotelluric survey in their vicinity. It is shown that porosity prediction using the developed algorithm provides better results than its estimation using resistivity logs or lectromagnetic resistivity alone. In particular, the mean relative error can be as low as ~2% in the case of predicting at double borehole depth and around 8% in the interwell space.
Добавил в систему: Спичак Вячеслав Валентинович

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Electromagnetic resistivity pseudo-log as a new instrument for estimating reservoir properties beyond boreholesстатья