Why Data Matters in Oil and Gas
How data supports safer, more reliable and more efficient operations, and what analytics and artificial intelligence add.
8 min
Activities: 0 of 2
An oil and gas facility produces data every second. A pressure transmitter on a wellhead sends a reading. A vibration sensor on a gas compressor sends another. A maintenance technician closes a work order. A supervisor writes a near-miss report. A geologist loads a new well log.
For many years, most of this data was stored and then rarely used again. People looked at the screen in the control room, made a decision, and moved on. The history stayed in the system.
Today, companies try to use that history. They ask questions such as: Which pumps fail most often, and why? Which wells are producing less than expected? Where do our incidents really come from? The answers are already in the data. The work is to find them, check them and act on them.
Where data helps the business
Health, safety and environment (HSE) teams study incident and near-miss reports to find repeated causes. Trends in gas detector readings can show a small leak before it becomes a large one.
A simple example
An onshore operator has 40 electric submersible pumps (ESPs) in its wells. An ESP is a pump installed deep in the well to lift fluid to the surface. When one fails, the well stops producing until a workover crew replaces it.
An engineer exports two years of motor current, intake pressure and temperature data, and joins it to the failure dates in the maintenance system. She sees that several failures followed a period of rising motor temperature and unstable current. She did not use a complex model. She used good data, a clear question and her own knowledge of pumps.
This is the core message of the course: value comes from the question and the domain knowledge as much as from the technology.
Which statement best describes machine learning (ML)?