When:  Nov 1, 2018 from 11:00 AM to 01:00 PM (CT)
Where:   10777 Westheimer Rd #1075, Society of Petroleum Engineers, Houston, TX, 77042, US

When & Where



10777 Westheimer Rd #1075
Society of Petroleum Engineers
Houston, TX 77042
US

Nov 1, 11:00 AM - 01:00 PM (CT)

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Description

A Statistical Engine to Model Well Operations and Evaluate Asset Performance



Holistic understanding of well operations can play a key role in optimization and maintenance of assets. The traditional process for understanding well operations mainly involves fitting a curve through all of the historical production data and extending the curve to forecast production without modeling the stochastic nature of production history, considering impact of any well interventions, or feeding any a priori information into curve-fitting workflows. This leads to unreliable production and reserves estimates which, in turn, impact the strategy and planning process for asset management. A novel workflow which learns the production characteristics of a well through a statistical framework using principles of signal processing and Bayesian inferences will be discussed. Using this workflow, high-fidelity empirical production performance forecasts can be obtained for all the wells in the asset in an automated fashion. This novel workflow aims to significantly simplify interpretation of well operations, reduce the turnaround time for analyzing and modeling well performance, and improve the quality of reserves estimates.

Supriya Gupta

Data Scientist, Schlumberger

Ms. Gupta works on researching and implementing machine learning techniques to address production and subsurface challenges. She is very passionate about developing cutting-edge analytics solutions for next generation E&P software. She has been an invited speaker to several industry forums on topics related to data analytics, digital innovation and applicability of emerging digital technologies in upstream oil and gas industry. She founded the SPE Gulf Coast Data Analytics Study Group in 2017 and under her leadership, the study group hosted a successful Data Science Convention and received the Outstanding Study Group Award for 2017-2018. She is also involved with SPE International Committee in various initiatives on Digital Technology and Data Analytics. She was awarded the 2017 SPE Regional Management and Information Award. Supriya graduated with a Master’s Degree in Petroleum Engineering from University of Houston (2013) and a Bachelor’s Degree in Chemical Engineering from BITS Pilani, India (2009).

Pricing

registration type
regular
    Member
$25.00

    Non-member/Guest
$30.00

    Student
$10.00

Contact Information

Oris Hernandez

Oris dot Hernandez at bp dot com