THE SCIENCE OF NLG — OIL & GAS CASE STUDY
An oil and gas super major using the Arria NLG Engine
could increase oil production dramatically
Our existing oil and gas client has stated that by adding the Arria NLG Engine to traditional surveillance
technologies to monitor their global rotating equipment assets, that a one percentage point
uptick in production uptime could be achieved. They have also stated that if the Arria NLG Engine
can be added to all of their global production assets, they could be the first super-major to achieve
the production levels that can result from optimal surveillance. This potential could equate to billions
of dollars of increased production per year.
See an example of the Arria NLG Engine’s output below
A typical deepwater oil platform is a highly complex, integrated, industrial production facility operating 24/7/365.
Its production capabilities depend on a number of large scale rotating machines such as turbines, compressors,
pumps, generators and engines. An oil platform operates in one of the most challenging production environments
in the world. The production output as well as the safety of the oil platform both depend on the reliable
performance of its rotating equipment. When equipment begins to perform outside acceptable operating envelopes,
embedded sensors detect the issue and cause alerts to be generated. In addition to rotating equipment,
alerts cover a wide range of sources including wells, facilities, and sub-surface equipment. These alerts
are monitored by automated systems and highly skilled engineers.
An Example of the Current Monitoring Situation in Complex, Multi-Asset, Surveillance Centres
- Automated systems monitor data streams and raise alerts.
- Expert analysts assess whether alerts are valid and need to be further investigated.
- For valid alerts, the experts write a situational analysis summation which includes context and background.
- Subject matter experts then further analyse the situation, and create a service recommendation for the
The problem is that while current monitoring systems generate alerts and notifications, they cannot articulate
what has gone wrong. So expert engineers with decades of experience are required to analyse the alerts. But
there is such a vast array of equipment generating so many thousands of alerts, it is impossible for human experts
to analyse them all. Some control centre operators have likened this data overload experience to “drinking
from a fire hose.” Further, the level of expertise required is so high, there is an acute shortage of human experts
available to accurately analyse all of the alerts. As a result, alerts are missed and production suffers.
We Believe the Arria NLG Engine Can Effectively Solve This Problem
The Arria NLG Engine effectively becomes the expert. It instantly, automatically, continuously, accurately and effortlessly:
- Reviews every alert even in the absence of the expert.
- Performs analysis that determines what the alerts mean.
- Provides a plain English report identifying which alerts need the expert’s attention and provides the
situational awareness that allows the engineer to immediately formulate an action plan to correct the cause
of the alerts.
The Arria NLG Engine determines and reports the problem and solution faster than the engineer ever could. It
saves each engineer hours of analysis and report writing per day. It works around the clock—never sleeping.1
The Benefits of Surveillance
One of the most common sources of production downtime on an oil and gas platform is in the category of rotating
equipment. The ability to implement continuous surveillance on such equipment is a key determinant in improving
production uptime. The impact of surveillance on rotating and other equipment on oil and gas production
platforms for international operating companies can be understood at a general level by considering three production
||Production Levels with Minimal Surveillance
(Using planned maintenance routines)
|84% – 88%
||Production Levels with Limited Surveillance
(Across a portfolio of production assets where
surveillance is limited by human expertise resources)
|88% – 92%
||Productions Levels with Optimal Surveillance
(Potential production levels attainable with digital
oil field capability combined with minimal constraints
on human expertise resources)
|92% – 98%