The oil and gasoline enterprise works with petabytes of
diverse information, of which raw, processed and localized seismic facts is the
various maximum essential facts units, specifically for operators with active
exploration assets. The industry is currently present process a strategic
transformation to boost up and enhance seismic statistics workflows. This
technological trade will permit fast and seamless access to seismic records
from multiple applications with a view to feed into included seismic workflows,
making lifestyles less difficult for exploration equipment.
The most important challenges related to Big Data are
categorised as 4S in Oil & Gas - Exploration:
Size: Data Scale - The problem is absolutely the length /
length of the data. For example, 3D seismic records
Speed: evaluation on the go with the flow of facts. For
example, real-time show
Choice: a diffusion of various sorts of statistics /
records. For instance, pics of the subsoil
Fidelity: Honesty that revolve around the uncertainty of the
facts. For example, tank characterization
A commonplace task is the downtime at some point of which
seismic records is downloaded, copied, exchanged, and tailored, making it
difficult to switch and use in workflows.
The query then is, why isn't large (seismic) data moving to
the cloud?
The subsequent question that involves thoughts is if cloud
storage is so reasonably-priced, why isn't anyone moving their seismic
statistics to the cloud? Currently, seismic statistics is stored in diverse
formats, both offline and on line, in multiple places. The principal factors to
consider are cost and scalability whilst moving facts from underground to the
cloud. The most popular cloud garage can keep massive libraries of statistics
(the selection is yours as wanted among hot and bloodless storage).
Manner ahead:
• Workstation virtualization - Data accessibility is crucial
to typical utility performance. So if we push the facts faraway from the app,
we may turn out to be with more demanding situations. Basically, there may be a
need to make the computer digital via also transferring the utility to the
cloud. Thus, we are sure that the software is virtualized in the cloud,
collectively with the seismic information.
• Lift-and-Shift technique: Now that the utility and
information are inside the cloud, the utility isn't yet directly related or has
a manner to have interaction with the object shops. The carry and switch method
allows the transfer of seismic files to a document machine in the digital
surroundings (workload transfer to the cloud). But this could add to the price
of filing the information requirements for the utility.
Compression techniques: we need a complex compression
mechanism that prevents information loss and stores the records in an original
format in the cloud. This eliminates the need to switch entire documents to a
digital report gadget, but handiest sends the specified facts in real time.
The want here is to have an answer that starts offevolved
with a seismic information lake well matched with the Open Subsurface Data
Universe (OSDU) platform with full resolution seismic records housed in cloud
object storage. The seismic records could be saved in a way that supports
lossless coordination and is cloud-native. The answer can even allow
flexibility in the transmission of seismic data to the cloud and ingestion to
OSDU in SEG-Y and compressed format. This answer will permit the use of a centralized
seismic platform to simplify the usage of a fashionable format that supports
in-flight seismic data. This advanced journey will permit O&G businesses to
adopt quicker cloud computing workflows, boom performance, and reduce the time
required to make choices.
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