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An Automatic Algorithm for Core-To-Log Matching
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, First EAGE Digitalization Conference and Exhibition, Nov 2020, Volume 2020, p.1 - 5
Abstract
Predicting reservoir properties, such as porosity and permeability, is one of the major tasks of a petrophysicist. But since the most reliable information about these properties can be obtained only by studying core plugs, one must ensure, that well logs and core data are properly depth-aligned before fitting any statistical model.
Unfortunately, specifics of the coring process can lead to depths divergence between them of up to several meters and an auxiliary procedure called core-to-log matching is required to determine the actual depths of coring intervals. Currently, the matching is performed manually, since there is still no option to do it automatically in many popular commercially available software packages.
In this paper, we propose a novel algorithm for core-to-log matching, which automatically shifts coring intervals so that the correlation between well and core logs is maximized. On the example of 12 wells, we show that the algorithm not only outperforms a petrophysicist by a large margin but also works more than two orders of magnitude faster. The algorithm is implemented in an open-source PetroFlow framework available at https://github.com/gazprom-neft/petroflow.