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PROBLEM STATEMENT.

The traditional process of rigging, transfer of crude materials, pipeline management at remote areas require human intervention and use of high machinery, which creates inflation of oil price and jeopardizes the safety of maintenance staff.

Let’s look at the above cases in greater detail:

Rigging: Oil & Gas industries have always tried to maintain safety standards on offshore oil rigs, but despite such steps there are frequent mishaps, some major while others minor. While the industry has opted for 4.0 by using wireless sensors for small oil rigs, bigger rigs are now getting equipped with robots to combat the safety. Despite all such measures safety is still an issue.

Maintenance of pipeline:

Pipelines used to transfer oil need regular maintenance. Monitoring of pipeline for leakage or corrosion, laid across remote zones which are beyond reach for human access, prove to be difficult.

HOW HAS TECHNOLOGY
EVOLVED

With the advent of smart industrial sensors that can record data, the monitoring system of industrial units have now become relatively safe and easier. A trained technology analyst can now visualize data received from sensors to find the actual situation of a remote unit. The right choice of wireless sensors is one of the prime factors behind a successful deployment of a remote monitoring system. Engineers involved in such implementation should have strong expertise to choose the right hardware and accumulation of data.

While Industry 4.0 is oriented towards simplification of production, it is only achievable when right minds with right expertise join hands. In the context of Oil & Gas exploration, IIOT is paving the way for intelligent automation.

HOW CAN WE HELP DOWNSTREAM OIL GAS ENTITIES ADOPT INDUSTRY 4.0?

At Data Analytec we understand the cruciality to acquire right data and its management. We therefore offer a digital twin framework that will not only impact operational excellence but also define industry standard predictive maintenance model to generate business value. The data collected from hardware will be applied to provide deep predictive insight on asset management which will help the industry to function efficiently by averting any possible downtime.

Following are the steps that Data Analytec follow for a successful digital disruption:

  • Thorough understanding of the current situation of a manufacturing unit [AS-IS Study].
  • Define a new approach to adapt to the transformation [2B Phase]
  • Gather historical data of the Oil & Gas unit.
  • Build Proof of Concept [POC]

Once the POC gets approved the next function would be to:

  • Strategize a policy to roll out the new model in the production unit.
  • Installation of hardware, such as, sensors, RFID whatever applicable to strategic points to ensure gathering of raw data.
  • Implementation of network and security layer.
  • Develop real-time application to review current operation.
  • Develop predictive models for inspection and take preventive measures.
CONTACT A DATA ANALYTEC TECHNOLOGY ANALYST TODAY TO KICK-START YOUR 'OUTCOME BASED' TRANSFORMATION ROADMAP NOW!

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