Using influence diagrams to analyze decisions in 4‐D seismic reservoir monitoring

2005 ◽  
Author(s):  
Debarun Bhattacharjya ◽  
Tapan Mukerji
Keyword(s):  
Influence Diagrams ◽  
Seismic Reservoir ◽  
Reservoir Monitoring

Using influence diagrams to analyze decisions in 4D seismic reservoir monitoring

2006 ◽  
Vol 25 (10) ◽  
pp. 1236-1239 ◽  
Author(s):  
Debarun Bhattacharjya ◽  
Tapan Mukerji
Keyword(s):  
Influence Diagrams ◽  
Seismic Reservoir ◽  
Reservoir Monitoring ◽  
4D Seismic

Towards cost-effective permanent seismic reservoir monitoring

2009 ◽  
Vol 2009 (1) ◽  
pp. 1
Author(s):  
N. Hendrick ◽  
M. Farouki ◽  
S. Mass ◽  
B. Bunn
Keyword(s):  
Cost Effective ◽  
Seismic Reservoir ◽  
Reservoir Monitoring

Semipermanent ocean-bottom seismic node: Toward practical reservoir monitoring

2019 ◽  
Vol 38 (9) ◽  
pp. 716-719
Author(s):  
Satoshi Shimizu ◽  
Masaya Katagiri ◽  
Yuta Watarai ◽  
Yoshitaka Ueda ◽  
Peter Sack ◽  
...  
Keyword(s):  
Asset Management ◽  
High Speed ◽  
Autonomous Underwater Vehicle ◽  
Internal Clock ◽  
Ocean Bottom ◽  
Remotely Operated Vehicle ◽  
Recording Time ◽  
Seismic Reservoir ◽  
Reservoir Monitoring

Seismic reservoir monitoring has been found to be effective with recent ocean-bottom seismic techniques. The technology of ocean-bottom nodes can be extended to a semipermanent ocean-bottom-node (SPN) acquisition type, which is fixed on the seabed and activated on demand for reservoir monitoring. A newly developed SPN method allows a high-speed underwater optical to communicate with a remotely operated vehicle or an autonomous underwater vehicle to stably harvest seismic data on multiple repeat surveys. Long-term capabilities of deployment life, cumulative recording time, and internal clock characteristics are also key technologies for practical use of SPN acquisition. This is an alternative to fixed ocean-bottom cables that are currently a major tool of permanent reservoir monitoring. SPN acquisition will present more flexibility for receiver spreads, low installation cost, and fewer risks for asset management compared with existing seabed technologies.

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