Abstract

With the view to obtain reliable information in difficult geological conditions, the oil and gas industry is increasingly mastering Big Data to optimize technological processes and prevent accidents. Contemporary Big Data technologies, predictive analysis and machine-learning methods are changing the general image of many industries, and the oil and gas industry is no exception. New players are quickly emerging throughout the industry, and digitalization will affect the entire value chain in the oil and gas industry. Among the most promising segments for the transition to digital technologies are asset management and infrastructure facilities, field development, geophysical services, pipelines and processing.

The applied production logging system using markers allows for evaluating horizontal well (HW) production after multi-stage hydraulic fracturing (MFrac). In addition, the performance of each oil and water stage can also be evaluated. Based on this information control, users can leverage the technology to optimize their operations.

The technology is based on the use of marker-reporters with quantum dots placed in the polymer proppant coating or in the lower completion. Unlike conventional methods of horizontal well logging, this technology does not require any special means of equipment delivery and eliminates the risk of downhole equipment getting stuck or ambiguous data interpretation.

From 2017-2019, production logging technology using markers was applied in more than 30 horizontal wells in the fields of LUKOIL-Western Siberia LLC.

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