E73 AI Innovations | Cognitive to a Comman Man

First in industry to bring Cognitive Intelligence powered System in your everyday work

Cognitive intelligence, also known as cognitive computing, is a rapidly growing technology in the Energy industry. This technology uses advanced algorithms and machine learning to analyse large amounts of data and make predictions and recommendations based on that data.

In the oil and gas industry, the advantage of cognitive intelligence can be used to identify:

Optimize operations - Cognitive intelligence can be used to analyze production data, identify patterns, and make recommendations for optimizing production and reducing costs.
Improve safety - Cognitive intelligence can be used to analyze safety data, identify potential hazards, and make recommendations for improving safety.
Predict equipment failure - Cognitive intelligence can be used to predict equipment failure and recommend maintenance and repair actions before equipment fails.
Improve exploration - Cognitive intelligence can be used to analyze geological data and identify potential areas for exploration.
Reduce environmental impact - Cognitive intelligence can be used to monitor environmental data and make recommendations for reducing the environmental impact of oil and gas operations.

The benefits of implementing cognitive intelligence in the oil and gas industry include:

Increased efficiency - Cognitive intelligence can help companies optimize their operations and reduce costs, leading to increased efficiency and profitability.
Improved safety - Cognitive intelligence can help identify potential safety hazards and make recommendations for improving safety, reducing the risk of accidents and injuries.
Better decision-making - Cognitive intelligence provides valuable insights and recommendations, enabling better decision-making and risk management.
Reduced downtime - Cognitive intelligence can predict equipment failure and recommend maintenance and repair actions, reducing downtime and improving productivity.
Improved environmental stewardship - Cognitive intelligence can help companies monitor and reduce their environmental impact, improving their reputation and regulatory compliance.

Cognitive Intelligence

Cognitive intelligence is referred to as human mental ability and understanding developed through thinking, experiences and senses. Everywhere people use their our experience out of their work experience to carry out their job in a safe way. We believe that a worker who is experienced in the field equipment for more than 20 years will have more knowledge than a fresher or with as little as 1-5 years of experience as the same the Cognitive Intelligence will be high for an experienced than a fresher.

So our software will collect all the data from the user from both experienced and fresher and the data will be analysed and algorithms will be created based on their usage our software will get energized by creating its own Work Permit with the user Cognitive intelligence from our algorithm and if any Equipment selected will get all the information checked and the permit will get ready in few minutes rather spending 30 – 50 minutes.

Our Software

Now our CiePTW is a cognitive powered software where we study the user interface and our algorithms are the world best in Cognitive for the user to provide accurate results from the selection of the Permit Type and the Hazardous Zone and Zone Classification. We also select all the safety measures on Cognitive Intelligence collected from our algorithms. Our Main aim is to minimise the time for creating the permit as well delivering the top experienced Cognitive to all the users so as to provide a safe operation.

We implement the Company Isolation philosophy in our Dynamic P&ID and the interdependency of the Isolation will never compromised at any time. Even if the user didn’t follow the isolation Philosophy the software will implement all the safety measures in all Levels.

Incident Reporting Management

Incident Reporting Management is an integrated reporting system that encompasses equipment failure, Loss of Containment, and environmental reporting and injury/illness, into one reporting system.

The modules will cover the different types of incidents / classifications, levels of investigation and the appropriate way of addressing causes to avoid recurrence. The purpose of Incident Management is to report, investigate and learn from incidents that occur within the Company so that similar future incidents can be prevented. Incident management is an essential part of the risk management learning loop.

Our Incident Reporting Management Workflow
Incident Report | Investigation | Technical Review | Final Approval

Notification of Incidents to the relevant people in the organisation
Actual/Potential Loss Matrix
Identify correct cause and possible immediate cause
Implement Preventive / Corrective action
Track corrective action to closure
Share lesson learned
Prevent reoccurrence

Incident Investigation activities and step-by-step guidelines.

Fact Finding
Inspecting the Location
Collecting Background Information
Preserving Physical Evidence
Conducting Interviews
Conflicting Evidence

Supervisory Responsibilities
Identifying Missing Information
Underlying Causes and Human Factors
Establishing the Sequence of Events
Team Conclusions
Report

Artificial Intelligence for safer, more reliable, and more efficient equipment.

From your plant data, we create a lot more value.

Our Software Advantage

Our software enables you to optimize your equipment data, decisions, and operations.
Data from a variety of equipment, such as pumps, gas engines, gas turbines, and compressors, was used to train our models.
We Develop predictive machine learning models to predict normal and healthy readings for offshore and onshore rotating equipment and process Instruments.
We Perform Anomaly detection to autonomously highlight deviation from desired setpoints and parameters.
We Improve equipment reliability by preventing equipment trips through early anomaly detection and warnings.
We Design prescriptive component to recommend follow-up action based on developed failure mode library with associated root causes.

Our Predictive Workflow

Data Collection from Plant Information(PI) Server or client Server
Data cleaning & processing
Development of Machine-Learning Modelling Methodology
Application for anomaly detection

Create more value from your equipment data.

We integrates your equipment data to create a consolidated equipment record and applies field-validated machine learning to:

Predict equipment failure, performance degradation, and other critical events.
Identify anomalous operations for an individual asset or across a system, without having to explicitly program alarms.
Optimize set point and control strategies around target business outcomes.

First in industry to bring Cognitive Intelligence powered System in your everyday work