Woodside Petroleum

History

2021: Purchase of oil and gas business from Woodside Petroleum

On August 17, 2021, BHP Group, the largest mining company in the world, announced the sale of the oil and gas business to Woodside Petroleum. More details here.

2019: Using Big Data and machine learning to prevent people from dangerous production

In early January 2020, Australian oil giant Woodside spoke about how it uses Big Data and machine learning to prevent people from dangerous production.

Jason Crusan, vice president of new technologies, shared examples of big data use. The ultimate goal of this analytical program is to identify dangerous production conditions under which it is more reasonable to use robots than to risk human life.

Woodside talks about how it uses Big Data and machine learning to prevent people from dangerous production

Although Woodside has just begun working with large arrays of data, Cruzan notes that the use of Big Data analysis and machine learning has already increased the overall security of operators. For example, now various measurements in workshops with a high temperature are carried out not by employees, but by robotic mechanisms. Another example that Cruzan cited concerned production checks. Now the inspection does not need to stop the entire process, since robotics provide constant active monitoring.

We use robots in workshops with difficult environmental conditions: with high air temperature, high noise, vibration, the risk of electric shock... And in addition, we receive control data without waiting for the next maintenance, "Cruzan explained.

Continuous monitoring of robotic mobile platforms increases the overall level of production security, and machine learning allows you to actively analyze data coming from cameras and equipment sensors. For example, machine learning is used to assess the need for lubrication of various parts of mechanisms. In addition, Woodside uses automated data logs so that all employees can accurately assess the condition of the equipment at the beginning of their shift.^[1]

Notes