Digital Energy: Natural Language Processing in Oil and Gas

Speaker Reed Barrett
Reed currently serves as the Director of Business Development for Expert System’s oil and gas vertical, based in Houston. He manages existing Expert System deployments, new business acquisition, and partnership strategy for Expert System. Reed has spent the last 9 years in the oil and gas information and analytics industry. ...

Reed currently serves as the Director of Business Development for Expert System’s oil and gas vertical, based in Houston. He manages existing Expert System deployments, new business acquisition, and partnership strategy for Expert System. Reed has spent the last 9 years in the oil and gas information and analytics industry. Reed began his career with Austin based Drillinginfo Inc., and experienced 7 years of tremendous growth with the company from 2007-2013, having served multiple roles with the company during this time. In 2013, Reed was asked to work in the Reservoir and Production Engineering consulting and software business for Optimization Petroleum Technologies, Inc. Reed served as the Director of Sales & Operations for OPT's Houston office from 2013-2015. Reed recently joined Expert System in April 2015 to tackle unstructured data and natural language processing, the unexploited zone in oil the and gas information and analytics world. The work that he and the Expert System team are doing is revolutionizing the way that machines read and interpret natural language and unstructured data within the overall oil and gas context, and many sub contexts within the vertical. 

Full Description

Oil and gas operators are inherently good with structured data, naturally, as this is the very data in which their decisions are based. Unstructured data has always been the thorn in the side of the data hungry oil and gas operator. Every geologist or engineer has asked themselves at least a time or two in their day “If I could only convert the content of this SPE paper, or this unstructured bit of text on this completion report into structured data, then we could really take advantage of it!”. Reed and Expert System work with some of the most admired and respected oil and gas companies in the world to solve the hardest of unstructured data challenges. Whether it is within a geological context, or a health and safety context, companies want to be able to machine read all of their internal documents quickly, in order to analyze and make sense of the knowledge at hand. Keyword and statistics based technologies fall short, however deep linguistics are the answer to accurately being able to tell the difference between “Yates” the company, “Yates” the oilfield, or “Yates” the well. Understanding the meaning of words in context is the critical component to be able to remove the ambiguity that exists in the language.

Organizer Tim Loser

When?

Wed, May. 18, 2016
11:30 a.m. - 1 p.m. US/Central

How Much?

A $5 donation for the SPE-GCS Scholarship Fund has automatically been added to the registration fee. Use OptOut in the Discount Code field if you do not wish to donate at this time.
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Where?

Norris Conference Centers - Houston/Westchase
9990 Richmond Ave.
Houston, TX 77042
United States

Parking is complimentary. Any special dietary requests will be met upon request to the event contact.


For additional information please contact SPE-GCS DE SG Chair John Reichardt at john.reichardt@rpsgroup.com or 713-595-5121.

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