Last week I attended the RSA Conference (RSAC) Innovation Sandbox for the first time. Not only was I an attendee, but I also was fortunate enough to host a CTO panel during the event. For those that aren’t aware, the Innovation Sandbox is one of the more popular programs of the RSAC week. The highlight of the Innovation Sandbox is the competition for the coveted “Most Innovative Company at the RSA Conference” award. This is basically the information security version of ABC’s Shark Tank. If you want to learn about the up-and-coming vendors and technologies, this is one place to do it. To participate, companies had to meet the following criteria:
The product has been in the market for less than one year (launched after February 2013).
The company must be privately held, with less than $5M in revenue in 2013.
The product has the potential to make a significant impact on the information security space.
The product can be demonstrated live and on-site during Innovation Sandbox.
The company has a management team that has proven successful in the delivery of products to market.
The Oil And Gas Information Technology Innovation Dilemma
The hydrocarbon logistics chain of natural gas and crude oil connects globally distributed exploration and production sites with industrial and private consumers via pipelines, tankers, rail cars, and trucks with massive intermediate buffering storage and conversion facilities (tank farms, refineries, gas plants); it is the lifeblood of our energy supply chain today and for the coming decades.
More than 75 million barrels of oil and 300 billion cubic feet of natural gas are produced, transported, and consumed all over the globe — every day. Along the complex transportation chain, these special bulk products, both liquids and gases, are transferred between the different modes of transportation, resulting in a number of challenges based on complex measurements of product volumes and masses:
Measurement accuracy. In an ideal world, we would always determine the mass of crude oil and natural gas at each measurement point; however, due to the large quantities involved, weighing is possible only at the very end of the logistics chain. Consequently, we have to live with measurement data that typically carries an uncertainty of 0.1% to 0.5 %, depending on the measurement devices’ intrinsic accuracy.