Technology can be the culprit and the savior in the chemical and oil business. This blog explores how engineering insight from operational performance can help companies in this market to access, unlock and understand all engineering information no matter where it resides.
Mohammed Husain is the Deputy Chairman and Deputy Managing Director for gas at Kuwait Oil Company. The Kuwait Oil Company is striving to achieve 4 million barrels per day of production by 2020 and maintaining that to 2030, also striving to have the capability of 4 billion gallons of gas by 2030.
Harnessing the power of big data and analytics is valuable when conducting competitive analyses. Organizations can search and analyze a range of industry information to identify trends, anticipate changes and uncover emerging opportunities. To use big data in this way, organizations need solutions
Solutions designed for big data can help the oil and gas industry integrate operational analysis with business intelligence so they can optimize processes in order to meet specific business goals. For example, a company might want to determine the best offshore drilling location for maximizing oil
Big data presents important opportunities for enhancing the efficiency, safety, productivity and cost-effectiveness of oil and gas operations. Yet it comes with an array of operational technology challenges that often impede the use of big data for operational gains. For example, companies need
As I wrote in Part 1 of this blog series, big data and analytics can help companies develop the “digital oilfield”— integrated operations that unite operational technology (OT) with information technology (IT) to improve decision making and enhance operational and business performance. Adding
The petroleum industry is no stranger to large volumes of data. Operating in arguably the original sensor-based industry, oil and gas companies have for decades used tens of thousands of data-collecting sensors installed in subsurface wells and surface facilities to provide continuous, real-time