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Cognitive Technologies for Geology ExplorationNormal access

Authors: Z. Filippova, A. Bochkov and R. Abreu de Paula
Event name: ProGREss'19
Session: Digital Transformation in O&G Exploration / Цифровая трансформация в ГРР
Publication date: 05 August 2019
DOI: 10.3997/2214-4609.201953075
Language: Russian
Info: Extended abstract, PDF ( 420.54Kb )
Price: € 20

Summary:
Analysis and interpretation of geological data for decision making at the exploration stage is one of the most difficult and important tasks for the O&G industry. At this stage, experts aim at maximizing the understanding of the value of an asset, while dealing with high levels of uncertainty. IT solutions based on classical mathematical algorithms are not able to support such complex operations, for they require well-defined and structured data-process models. The new generation of technological systems capable of continuous analysis and cognition of the surrounding world are better fit to cope with such tasks. A Joint research project between Gazprom-Neft and IBM Research has shown evidence that cognitive technologies have the potential for application in geology exploration. The global goal is to support all professionals involved in the process of geological data analysis so that they can make more efficient and informed decisions by automating the routine tasks and reducing the number of unnecessary cycles, iterations. The results at the current stage corroborate the value of introducing cognitive technologies not only for solving linear problems of processing and interpreting geological data, but they will form the basis for the transformation of standard approaches throughout the geological exploration cycle.


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