Oil and Gas

The oil and natural gas industry has been slow to adopt comprehensive Big Data solutions. But over the last few years, energy companies have found success with Big Data, and its becoming increasingly integrated into drilling operations. Companies now have the ability to capture and analyze drilling data in real time, and in turn, mitigate failure risks and improve safety measures. Big Data solutions are also being used to monitor the approximately one million active wells in the United States and their associated valves, gauges, and compressor stations.

While slow to adapt, the oil and gas industry have realized the potential benefit of Big Data and have begun to implement it in their daily operational processes. It is now easier than ever to uncover new site locations with negatively impacting the environment. Energy companies can monitor the entire drilling process, from end-to-end, and in so doing, limit downtown and reduce traditional operating cost. The future is bright for a Big Data-driven oil and gas industry.

Oil and Gas User Stories

Big Data solutions are helping the oil and gas industry reduce operational costs and making drilling and fracking processes safer. Decision makers on an active pad can now monitor relevant operational data in real-time in order to limit downtime and improve recovery rates. Data such as weather and soil data, coupled with drilling and equipment data can predict the success of a drilling operation in real-time. Site leader can take all of this data into consideration and quickly determine if and how to proceed. Machine data combined with historical maintenance data is often used to predict maintenance schedules. Energy companies can use this to ship parts before exactly when they are needed, further improving operational efficiency while limiting downtime.

The oil and gas industry have begun to rely heavily on Big Data to determine where and when to drill. Seismic monitors produce massive data sets during the exploration process. In order to make this data actionable, energy companies are using multiple parallel processing platforms, which quickly and accurately analyze all of the data and provide insight. The insight accounts for different data variables, such as production cost, transport of oil or gas, and pertinent weather related information, that could potentially affect the profitability of a new well.

The ability to mitigate risk with Big Data is a valuable asset for energy companies. Drilling has traditionally been a high-risk, high-reward process, but Big Data is limiting those risks, leading to greater rewards. For instance, an energy company can monitor drilling in real-time from different sources. This makes it possible to detect anomalies in real-time and site shut down decisions can be made if necessary to avoid negatively impacting the environment.

Oil and Gas Use Cases

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