Post-job Data Analysis by Python for a Miniature Recorder in Drilling Motors

Autor:	Haolan Song, Fei Li
Rok vydání:	2020
Předmět:	Computer science Operating system Drilling Python (programming language) computer.software_genre computer computer.programming_language
Zdroj:	IOP Conference Series: Materials Science and Engineering. 799:012048
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/799/1/012048
Popis:	A vibration recorder has been deployed to capture the dynamics data of drilling motors for their operation and health evaluation. The recorder is usually inserted inside the rotor catcher of a conventional drilling motor in such a way that no extra length is introduced to the planned bottom hole assembly (BHA). The recorder can log data over the full operation cycle of a drilling motor, including vibration during surface activities and downhole operation. A post-job data analyzer was specifically designed based on Python. The analyzer processes the recorded data and generates statistics, time plots, and the various statistical plots such as histograms. These statistics and plots help the operators and maintenance technicians to gain insights into the motor operation and performance. The analyzer can provide adequate information on a drilling motor to asset owners for maintenance and operation optimization without analysis training or qualification from operators.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::28919dfc3d175b8f75323f91c7b89209 https://doi.org/10.1088/1757-899x/799/1/012048 Zobrazit plný text záznamu