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.
SAP Has Managed A Turnaround After Léo Apotheker’s Departure
In February 2010, after Léo Apotheker resigned as CEO of SAP, I wrote a blog post with 10 predictions for the company for the remaining year. Although the new leadership mentioned again and again that this step would not have any influence on the company’s strategy, it was clear that further changes would follow, as it doesn’t make any sense to simply replace the CEO and leave everything else as is when problems were obviously growing bigger for the company.
I predicted that the SAP leadership change was just the starting point, the visible tip of an iceberg, with further changes to come. Today, one year later, I want to review these predictions and shed some light on 2010, which has become the “Turnaround Year For SAP.”
The 10 SAP Predictions For 2010 And Their Results (7 proved true / 3 proved wrong)