Oil & Gas Plant Maintanance prediction

Early detection of misfunction in Oil plant with high-resolution camera and additional sophisticated equipment such as hyperspectral imaging tools. It is now feasible to equip a drone with these equipment and fly over massive areas of energy infrastructure.

 

Oil & Gas sector is highly regulated. Many government agencies oversee every aspect of traditional energy companies because of its importance and potential risks. As the infrastructure built many years ago start to age, maintaining equipment safety and on-time inspection are becoming priorities for these companies. There have been cases reported such as gas pipeline explosion that resulted in human casualties resulting in hundreds of millions of fines from the government over the past decade.

 

To prevent malfunctions such as an explosion from happening, early detection of equipment condition is key. Unfortunately, inspections required by the government agencies today are all done through a very labor intensive and manual process. Human errors and neglect can result in inaccurate inspection report leading to disastrous consequences. In addition, early indicators of equipment issues such as a small gas leak is very difficult to detect by an inspection agent or employee.

 

Solution

 

With high-resolution camera and additional sophisticated equipment such as hyperspectral imaging tools, early detection becomes possible. It is now feasible to equip a drone with these equipment and fly over massive areas of energy infrastructure.

 

Problems such as small gas leak can be detected in the air through hyperspectral imaging analysis where human inspectors cannot. It is also very feasible to detect oil leaks through vegetation index analysis combined with machine learning.

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