Exploring Big Data technologies for operations related to oil and gas industry.
A shortage of skillful human capital has led to the graying of the oil industry. The obvious question many have thus asked is,
“Do we adopt a new technology and explore, potentially reaping the rewards of requiring less skilled labor to drill more efficiently and productively or do we continue with what just works and accept certain losses?”
When hundreds of millions, if not billions, of dollars a day are at stake, the answer is clear. Yes to harnessing Big Data.
Where is the technology leading us then?
The biggest challenge in the field is integrating all the well plans and reservoir data sets that were sent. One each was received from the geologist, the geophysicist, drilling department, and another from the electrical and fluids departments. Have we left anyone out? To add to the challenges for our driller, each contributor had developed their plans in different software so that integration was challenging. This forced the drillers to come back to “gut.” A good modern data integration tool is real powerful and a game changer. How?
• A modern data integration tool should be able to take integration to where the data lives
• It should have the ability to integrate with any data architecture – interact with data in any premise, cloud or a mix of both
• It should leverage the technology it works on such as Hadoop or Spark and many more, making all investments made in future technology secure
• It should have minimal development time with a smart, intuitive, browser based UI making integration possible instantaneously
• The transparent metadata offering in modern data integration brings in quick reusability of data
• It should be a smart solution so that there is no dependence on tech wizards. So economically and systemically it should be a sustainable business model
All of this brings down the total cost of ownership of a given project significantly. The right data integration helps oil and gas companies wanting to improve asset value and yield by transforming data into actionable insights. If one wants to move ahead of traditional real-time monitoring to real-time prediction and instant responses, modern data integration is the only way to go.