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AI Automation in Oil & Gas

1) Automation is currently used for repetitive processes in the oil and gas industry, but full automation is not possible. Processes that can be automated include building drill strings, checking mud levels and weights, and monitoring pressure gauges. 2) Several major oil and gas companies are scaling up their use of artificial intelligence and automation, including deploying autonomous robots to detect gas leaks and explore deep sea areas. 3) For automation to be safe, systems must be designed to correctly perform their work, take care of themselves, and take care of the environment without causing damage or hazards. They must be trained using artificial intelligence systems based on past human errors and situations.

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Vishal Rana
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75 views11 pages

AI Automation in Oil & Gas

1) Automation is currently used for repetitive processes in the oil and gas industry, but full automation is not possible. Processes that can be automated include building drill strings, checking mud levels and weights, and monitoring pressure gauges. 2) Several major oil and gas companies are scaling up their use of artificial intelligence and automation, including deploying autonomous robots to detect gas leaks and explore deep sea areas. 3) For automation to be safe, systems must be designed to correctly perform their work, take care of themselves, and take care of the environment without causing damage or hazards. They must be trained using artificial intelligence systems based on past human errors and situations.

Uploaded by

Vishal Rana
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
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Designing a Safe and

intelligent automation
using AI training
PRESENTED BY: Yojan Saini
Vishal Rana
Scope of automation in Oil and Gas

• Automation is done for repetitive processes


• Full automation is not possible right now
• Processes that can be automated:
1. Building drill string
2. Checking Mud level and weight
3. Monitoring pressure gauges

2
How automated are we?

• Shell scales artificial


intelligence across business
• BP completes major data
analytics installation
• An autonomous robot is going
to be deployed in North Sea rig
to detect gas leaks
• ExxonMobil has designed a
robot based on mars rover to
be used for exploration in deep
sea.
3
What makes automaton safe?

1 2 3

Do it’s work Take care of Take care of


correctly itself environment

4
Example: Cleaning Robot

It should not Finally it should


It should clean spill water on not damage the
the floor itself or bump objects present
without leaving into objects in its
dust behind that can hinder environment
its working. like vase.

5
Smart Automation

• A smart automation needs to be


designed based on several
parameters which enables it to
work efficiently
• For this Artificial Intelligence
system can be used
• It needs to be trained based on the
human errors and different
situations that has happened in
past

6
Basics of Artificial Intelligence

• Artificial Intelligence is a way of making a computer, a computer-


controlled robot, or a software think intelligently, in the similar
manner the intelligent humans think.
• Fuzzy logic is an approach to computing based on "degrees of
truth" rather than the usual "true or false" (1 or 0) .
• Artificial Neural Network are computing systems vaguely inspired
by working of brain cells. The neural network itself is not an
algorithm, but rather a framework for many different machine
learning algorithms to work together and process complex data
inputs.

7
Designing and Training process of AI

Design:
• Buiding data set
• Analyze the requirement
• Code

Training:
OFFSET DATA divided into three sets
• Training set (80%)
• Calibration set (10%)
• Testing set (10%)

8
Application

1. Safety
2. Downtime
3. Faster thus cost effective
4. Can be used for monitoring purposes
5. Assisted decision making

9
Economics and current scenario

O&G Industry to go through:


• Unconventional Exploitation
• An aging workforce and talent shortage
• Increased regulations

10
Thank You !
Any Questions?

11

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