Data Analytics Initiative: Has the E&P Industry realized the value of digital transformation and leveraged Big Data analytics?

Speaker: Dr. Satyam Priyadarshy, Chief Data Scientist, HALLIBURTON
Speaker Dr. Satyam Priyadarshy, Chief Data Scientist, HALLIBURTON
Dr. Satyam Priyadarshy is a pioneer in the fields of data science, big data, analytics, and emerging technologies. He is the chief data scientist at Halliburton, leading the digital transformation to next generation of E&P industry, by leveraging Big Data.  Dr. Priyadarshy is the first Chief Data Scientist of Oil and ...

Dr. Satyam Priyadarshy is a pioneer in the fields of data science, big data, analytics, and emerging technologies. He is the chief data scientist at Halliburton, leading the digital transformation to next generation of E&P industry, by leveraging Big Data.  Dr. Priyadarshy is the first Chief Data Scientist of Oil and Gas Industry. In September 2016, Smart Industry (www.smartindustry.com) named Dr. Priyadarshy as one of key innovators on the leading edge of digital transformation. Dr. Priyadarshy is also an adjunct faculty at Oklahoma State University, Georgetown University. He is also a Senior Fellow at the International Cyber Center, George Mason University.  His profile has appeared in many magazines including Chemical and Engineering News, The Scientist, Silicon India, Oil Review Middle East, Petroleum Review, RigZone among others. He has published over 35 papers and articles including an expert opinion in magazines like Science. Dr. Priyadarshy obtained his Ph.D. from IIT Bombay and MBA from The Pamplin School of Business, Virginia Tech.

Full Description

Big Data as a business paradigm has impacted and transformed many industry verticals. Upstream oil and gas industry has been slow in adopting value creation through Big Data, while it claims to have ‘lots of data’ in its silos. To decrease the cost of supply and leverage the voice of the oilfield is critical for E&P industry, if it wants to be part of the Industry 4.0 revolution. This requires that E&P industry becomes agile in Big Data technologies, adaptable to Big Data actionable insights, and advance to next generation. In this talk, Dr. Priyadarshy will discuss current state of E&P industry in adopting digital transformation.

Ice Breaker session from 5:30 to 5:45 pm (Dinner will be provided) . Starting 5:45 pm, the Data Analytics group will introduce itself and talk about its vision.  It will be followed by Dr. Priyadarshy's talk, Q&A and a networking session.

** No walk-in registrations are allowed.

Parking and Venue Directions:
Please refer to the map for directions to parking and the venue. 
 
1A/1B: You can enter the facility premises via Westheimer Rd (1A) or Sage Rd (1B). 
 
2: Please use IHS Markit's covered garage for parking your vehicle. Grab the ticket from the ticket meter as you are entering the parking lot* 
 
3: Use the stairs to come to Level 1 and follow the passage as shown in the map to enter the building. Follow the arrows to enter the Red/Rio Rooms. 
 
* The parking is estimated to cost between $2-$4 for the entire duration. You can pay for the parking after the event; either via parking ticket meter on Floor 1 or while exiting the parking lot through the meter at the entrance. 
 
Map for reference:

 

SPE GCS Data Analytics Event 1 - IHS Markit Venue/Parking Directions

For questions, please contact:

Supriya Gupta at supriya026@gmail.com

Shakti Sehra at shakti.sehra@ihsmarkit.com

 

Organizer Shakti Sehra

When?

Wed, Jan. 18, 2017
5:30 p.m. - 7:30 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?

IHS Markit
5333 Westheimer Rd, Suite 100
Houston, TX 77056
United States

Refund Policy: You must notify the SPE-GCS office of your intent to cancel at least 24 hours prior to the event date to receive a refund. For all refund inquiries, email spe-gcs@spe.org. View our Terms & Conditions for more information.