Royal Dutch Shell
Now, if you think words like "stochastic" seem complex, you need to understand that the work the group is doing in designing new mathematical procedures is even more difficult to comprehend. But these procedures (actually, they're algorithms) are important, because they can be used to quickly analyze complex images.
In the oil business, companies often spend tens of millions of dollars drilling a single well. If the drill comes up dry, the mistake can be costly. Now, a few million dollars might seem like chump change to an industry where the likes of ExxonMobil
The advantage of MIT's technology -- which works by comparing sophisticated 3-D images against one another, then identifying discrepancies that might suggest the presence of oil -- resides less in its ability to avoid areas where the oil isn't, than in finding areas where it is. After all, that's what really keeps the oil companies pumping out the profits.
Oil is now becoming increasingly difficult to locate, largely because many of the remaining pockets of oil are either miles beneath the earth's surface, far offshore, or both. MIT's algorithms, by establishing key relationships that can correlate to the presence of oil, are helping Royal Dutch explorers hone their ability to decide where to drill.
Because members of the Shell International Exploration and Production team are working in close partnership with the researchers at MIT, the odds that the technology will continue to improve are good. As the members share more information through this internal feedback mechanism, the algorithms will also get more accurate.
In the grand scheme of the oil business, the technology is unlikely to make or break Royal Dutch Shell, but it's the kind of powerful tool that might help the company keep pace with fellow competitors such as BP
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