Revolutionary Big Data and Hadoop Technologies for Oil and Gas Industry

In United States, the oil and gas industry has changed remarkably over the years. Sources of oils and natural gases touch human lives in invaluable ways. Together, they also supply over 60 percent of the country’s energy resources. They warm up our homes, fuel vehicles, cook our daily nourishment and make lives much easier.

With the concept of digital oil fields hitting the market, it is definitely possible to produce more cost-effective energy and address environmental safety concerns. With Big Data Training and corrective approach, the oil and gas industry that handles large volume of data can also proliferate.

Big Data- What is it?

Big Data is a historically recognized term, associated with the oil and gas industry as a term used by the softer industries that track buying tendencies, people’s behavior, sentiments, nature etc. However, this concept has been further defined as the increasing variety, volume and velocity of innumerable data – something that is common in the oil and gas industry.

There are different processes and several decisions related to natural gas and oil exploration, production and development, and generation of large volume of data. In fact, the volume of data grows regularly. With more data acquisition, processing as well as storage solutions, followed by the development of latest devices for tracking an array of machinery, personnelperformance andreservoir, today’s data can predictably get double in the next 2 years.

Big Data training equips individuals with skills to implement Hadoop and Big Data technologies and tools in modern oil and gas industries.

Areas of Work

Big Data for Oil Exploration and Discovery

Seismic monitors and similar equipments are used to generate large volumes of data while recognizing, selecting potential oil deposits and choosing drill sites. During these situations, Hadoop can be utilized as the Enterprise Data Hub to store and handle seismic information like well data, weather, industry news, equipment data, and soil data. In fact, Hadoop Big Data can make smart and intelligent decisions about different types of drilling operations. It’s definitely a cost-effective solution compared to conventional legacy systems. In addition, it can also be used for analyzing and processing geospatial data and several gas or oil reports to bid on innovative oil prospects.

Big Data for Production

Big Data courses prepare individuals for production-based needs too. Drilling, seismic and production data is imperative for improving oil recovery from the existing wells. Data of this type can help the production engineers to make sense of when and how to roll out different improvements in their oil supply and when to make improvements to the oil lifting routine. In addition, Big Data technologies can also be used as an effective tool to forecast oil production at different well by bringing seismic, production and drilling data together. Report generated from this source can be used for increasing the process throughout the existing wells.

Big Data for Equipment Maintenance

Sensors can be attached to equipment and drill-heads that can further be used for monitoring the devices. To prevent workers from any kind of injury, it is very important to identify potential sensor data errors or potential drilling errors from equipment that can be used for examining the use of Hadoop and predicts the state of equipment failure.

Big Data for Reservoir Engineering

Oil associations have to organize a continuous flow of data into the mechanical earth models. In this way, they can also discover and anticipate future availability of oil, perceive it and store oil at the same time.

Big Data for Safety and Environment

Using Hadoop as the key tool, Big Data training enables individuals to investigate drilling and mechanical data and prevents both environmental issues and safety incidents. It can also be used for improving health of the environment and safety of different drills and oil apparatus through identification of cases and patterns before any such deplorable events take place.