RTDM News:

 

Data-driven Oil Recovery (DOR)

With the recent advancements in sensing and data acquisition technologies, it is now economically viable to equip the oilfield assets, such as production wells and water/steam injection wells as well as oilfield facilities with multi-modal sensors for fine-monitoring of the oilfield. With DOR, we research, design and develop the data storage, access, querying and mining techniques that enable data-driven optimization of the oil recovery.

Opportunities

  • Increasing production
  • Reducing cost
  • Improving safety
  • Enabling better and faster decision-making by real-time information processing
  • Creating value by more proactive intervention

Challenges

  • High-rate data streams
  • Multidimensional data
  • Large-scale datasets
  • Complex queries
  • Historical and real-time analysis

 

 

 

 

DOR is a research program under CiSoft (Center for Interactive Smart Oilfield Technologies) is a USC-Chevron Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies .

 

 
 

 

 

Sponsors :