Big data is emerging technology in oil and gas industry. In oil and gas industry, drilling, exploration, maintenance, production all these activities produces very vast amount of data. Until recently it has been too vast to process efficiently.

1. Big value for
Big Data in
Oil and Gas Industry!

3. ✘ Big data is emerging technology in oil and
gas industry. In oil and gas industry, drilling,
exploration, maintenance, production all
these activities produces very vast amount
of data.
✘ Also these industries are facing major
challenges, the costs of extraction are rising
and the turbulent state of international
politics adds to the difficulties of exploration
and drilling for new reserves.

5. areas where big data can
be used to benefit oil
exploration.

6. Oil exploration and discovery:
Seismic waves monitors large amount of data during oil and
gas exploration which can be used for discovering new oil
deposits. In addition, weather, soil, and equipment data can
be analyzed to predict the success of drilling operations
and make intelligent decisions about drilling sites. This can
have a direct impact on cost and revenue.

7. New oil fields identification:
:Oil field managers need to analyze well data, seismic data,
industry news and potentially social media to evaluate
potential oil fields. They can also utilize that information to
identify optimum oil drilling locations. The big data platform
can be used to analyze geospatial data and other oil and
gas reports to bid on new oil prospects.

8. Oil exploration and discovery:
Seismic waves monitors large amount of data during oil and
gas exploration which can be used for discovering new oil
deposits. In addition, weather, soil, and equipment data can
be analyzed to predict the success of drilling operations
and make intelligent decisions about drilling sites. This can
have a direct impact on cost and revenue.

9. Oil production:
Analyzing seismic, drilling and production data is important
in order to enhance oil recovery from existing wells. This
data can help production engineers figure out when to
make changes in the oil reservoir after some time.
Cloud computing and big data techniques can be further be
used to forecast oil production at wells.

10. Equipment maintenance:
In order to identify potential drilling errors or equipment
failures, sensor data from equipment and geological data
can be analyzed to predict equipment failure and
understand what equipment works best in which
environment.

11. Safety:
Oil and gas companies need to identify events or patterns
that could indicate security threat or cyber- terrorist act in
order to keep their personnel, property and equipment safe.
Predictive analytics is a main part of identifying patterns
that can help detect these threats in advance.
The big data platform can help in identifying threats in real
time through machine learning and anomaly detection
technique.

12. Safety and environment:
:By using big data from various sources anomalies in drilling
can be identified in real time. So problems can be solved
before they become very serious and drills can be shut
down proactively before any environmental hazards.
The big data can be used to increase environmental health
and safety of oil rigs and drills through identification of
patterns and outliers before any catastrophic incidents
take place.

13. New trends
with big data in
oil and gas industry !

14. Drone Technology:
Drone technology is already improving safety in the oil and
gas industry by removing the need for workers to operate in
high-risk environments. Some of the ways where drones
are capturing new sources of data is pipeline surveillance,
post hurricane analysis, flare stake inspection.

15. Adoption of use friendly predictive modeling:
There has been an aggressive introduction of user-friendly
predictive modeling tools, which are offered either
independently or as embedded features of big data
solutions for the oil and gas sector. This will help in to
accelerate decision making.

16. Increase in demand for advanced analytics:
:Planning and forecasting of production data, data
generated from well and set of data produced during
seismic acquisitions are examples of advanced analytics.
So basically advanced analytics helps in enhancing
exploration and drilling efforts.

17. Emerging cloud computing technology:
:
:
Emerging cloud computing technology has enabled oil and
gas organizations to increase their efficiency and reduce
their cost of deploying the big data solution. So
organizations are investing in cloud computing to store the
data of their application, infrastructure automation and
collaboration.

18. Some of the examples !

19. Royal Dutch Shell is one of the largest oil and gas companies
which also include BP, Chevron, Total and ExxonMobil – and
the world’s fourth largest company by revenue. For some
time now it has been developing the idea of the “data-
driven oilfield” with the help of cloud computing and Big
data, in an attempt to bring down the cost of drilling for oil.

20. Shell uses fiber optic cables, created in a special
partnership with Hewlett-Packard, for these sensors, and
data is transferred to its private servers, maintained by one
of the largest cloud provider.

21. So finally we can say that by
applying Big data and applying
advanced computer analysis to
ever growing amount of digital
information that we can collect
and store from oil and gas
industry can grow faster.

22. thanks!
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