Digital oilfield

Augmented Artificial Intelligence Improves Data Analytics in Heavy-Oil Reservoirs

The authors of this paper propose a novel work flow for the problem of building intelligent data analytics in heavy-oil fields.

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Recently, many heavy-oil fields have seen exponentially higher volumes of data made available as a result of omnipresent connectivity. Existing data platforms have focused traditionally on solving the problem of data storage and access. The more-complex problem of true knowledge discovery and systematic value creation from the massive amount of data is less frequently addressed. The authors of this paper propose a novel work flow for the problem of building intelligent data analytics in heavy-oil fields.

Introduction

Optimal reservoir management for heavy-oil reservoirs requires systematic solutions that combine both engineering ability and advanced analytics.

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