METHOD AND COMPUTER SYSTEM FOR PROCESSING BOREHOLE DATA Russian patent published in 2022 - IPC G01V11/00 E21B47/00 E21B44/00 G06F30/27 G06N3/04 G06N3/08 G01V99/00 

Abstract RU 2782505 C2

FIELD: data processing.

SUBSTANCE: invention relates to the field of automated analysis and processing of borehole data obtained during and after drilling. In accordance with the proposed method, initial borehole data is collected, containing at least one type of data selected from a group containing data characterising the process of drilling and constituting measurement results from surface sensors and logging data at each point in time. All collected initial borehole data is subjected to computer processing, according whereto, structured data arrays of each type are formed from the collected data. The structured data arrays formed as a result of processing the data characterising the process of drilling therein contain a full technological characteristic of the drilling process at each point in time, and the structured data arrays formed as a result of processing the logging data contain a geophysical characteristic of the near-borehole zone. Using the formed structured data arrays of each type as input data, the collected initial borehole data of each type is marked by means of a pre-trained artificial intelligence algorithm, and using the marked data of each type as input data, a result is formed to be issued to the user in the form of a fragment of interest of the marked data in time and/or depth.

EFFECT: provided possibility of automatically determining the type of rock and the nature of saturation thereof (petroleum, gas, water), as well as the type of performed operations and the probability of events arising and/or developing during drilling (e.g., a complication or accident), by interpreting and monitoring the geological and technological borehole information obtained both directly in the process of drilling process in real time and using historical data from previously drilled boreholes.

10 cl, 4 dwg

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RU 2 782 505 C2

Authors

Antipova Kseniya Aleksandrovna

Meshalkin Yurij Evgenevich

Klyuchnikov Nikita Andreevich

Koroteev Dmitrij Anatolevich

Dates

2022-10-28Published

2020-12-24Filed