Case Study
CRITICAL OIL & GAS ROTATING EQUIPMENT IS MORE PRODUCTIVE USING OUR STATE-OF-THE-ART NLG SOFTWARE ENGINE

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

  1. Automated systems monitor data streams and raise alerts.
  2. Expert analysts assess whether alerts are valid and need to be further investigated.
  3. For valid alerts, the experts write a situational analysis summation which includes context and background.
  4. Subject matter experts then further analyse the situation, and create a service recommendation for the equipment.

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 metrics:2

 

1. Production Levels with Minimal Surveillance
(Using planned maintenance routines)
84% – 88%
2. Production Levels with Limited Surveillance
(Across a portfolio of production assets where
surveillance is limited by human expertise resources)
88% – 92%
3. Productions Levels with Optimal Surveillance
(Potential production levels attainable with digital
oil field capability combined with minimal constraints
on human expertise resources)
92% – 98%


 

OIL & GAS SUMMARY


The Arria NLG Engine Instantly
Analyses Multiple Complex Inputs
From Large Scale Rotating Equipment

 

The Arria NLG Engine can take inputs from multiple, complex systems and disparate technology platforms, from any point in the service delivery stack, and from such inputs, generate engineering analysis and situational awareness reports.

 

The Arria NLG Engine effectively becomes the expert, doing the work of any number of surveillance engineers—24/7/365.

 

 

“It is a compelling summary that
you would believe was produced by
a human”

 

The Arria NLG reports are written as if by
the most expert engineers in the field.
Here’s how our existing oil and gas client
described them: “We’re not talking about
simple statements around readings of
levels of curves. We’re talking about
how many times a certain threshold
was exceeded over a certain period of
time. We’re talking about how many
times people acted in the past. It is a
compelling summary you would believe
was produced by a human.”

 

 

 

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HEALTH CAREMedical
reporting >

1 The Arria NLG Engine is subject to the same performance limitations of enterprise level software.
2 Source: Dr. Anthony Edwards, CEO, Stepchange Global Limited.