Rapid autonomous marine 4D (RAM4D): Unmanned time-lapse seismic acquisition

Chalenski, D.A.; Hatchell, Paul; López, Jorge L.; Ross, Malcolm; Potters, Hans; Bröker, Koen

doi:10.1190/segam2017-17739013.1

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…Autonomous seismic sources that operate similarly as conventional sources have been introduced and tested, for example in the embodiment called Rapid Autonomous Marine 4D (RAM4D) (Chalenski, Hatchell, Lopez, & Ross, 2017) (Patent No. US 2018/0164456).…”

Section: Autonomous Marine Acquisition -Sourcesmentioning

confidence: 99%

Fully Autonomous Marine Seismic Acquisition Systems for Reservoir Monitoring

López¹,

Grandi²

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Section: Autonomous Marine Acquisition -Sourcesmentioning

confidence: 99%

Fully Autonomous Marine Seismic Acquisition Systems for Reservoir Monitoring

López¹,

Grandi²

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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“…In recent years, autonomous marine vehicles (AMVs) towing sources have been proposed by Berkhout () and Chalenski et al . (). Surface AMVs towing and controlling underwater streamers have been developed and demonstrated by Moldoveanu et al .…”

Section: Introductionmentioning

confidence: 97%

“…However, planting seabed nodes by remotely operated vehicles (ROV) or laying them on the seabed by cables or ropes is an inefficient process, especially in deep water (Beaudoin et al 2010). In recent years, autonomous marine vehicles (AMVs) towing sources have been proposed by Berkhout (2012) and Chalenski et al (2017). Surface AMVs towing and controlling underwater streamers have been developed and demonstrated by Moldoveanu et al (2017) and Haumonté (2017), whereas autonomous underwater vehicles equipped with seismic sensors have been proposed by Essaouari and Turetta (2016) and Tsingas et al (2017).…”

Section: Introductionmentioning

confidence: 99%

Design, modelling and imaging of marine seismic swarm surveys

Muyzert

2018

Geophysical Prospecting

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Autonomous marine vehicles instrumented with seismic sensors allow for new efficient seismic survey designs. One such design is the swarm survey, where a group, or swarm, of slow moving autonomous marine vehicles record seismic data from shots fired by a source vessel sailing around circles within the swarm. The size of the swarm is dictated by the maximum offset requirement of the survey, and it can be shaped to acquire wide‐ and full‐azimuth data. The swarm survey design equation describes the relationship between the source and receiver positions of the survey and the subsurface coverage or fold. It is used to adapt the swarm to the seismic survey requirements and to calculate survey duration time estimates as function of available equipment. It is shown that a survey conducted by a slowly moving swarm requires six times fewer shots than an equivalent seabed node survey conducted over 85.5 km2. Swarm surveys can also be adapted to efficiently conduct infill surveys and replace multi‐vessel undershoots. The efficiency of the survey can further be increased when the autonomous marine vehicles are towing short streamers with multiple receivers. Synthetic tests show that the seismic images for swarm surveys are comparable to those from streamer surveys, while little variation in image quality is found when reducing the number of autonomous marine vehicles but equipping them with a short streamer with multiple receivers.

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