Jan. 16, 2020


Description

This presentation and demonstration will focus on Drilling Planning and Optimization workflows in the upstream Oil and Gas domain by applying artificial intelligence and machine learning techniques to operational data. The model uses both unsupervised Machine Learning as well as supervised deep learning techniques on data gathered by drilling sensors and the daily operations reports and provides KPI dashboards as well as a predictions to aid in better drilling operations. The workflow encompasses the detection of outliers and data quality issues and their subsequent validation and suggested corrections to improve the quality of data in an automated fashion during the model training process. The presentation will showcase the end-to-end process used in building this workflow as well as a unique performance dashboard to validate its performance.


Featured Speakers

Speaker Sunil Garg - dataVediK
Sunil Garg is the founder and CEO of dataVediK, an early stage startup specializing in Consulting, Big Data, Data Analytics, Machine Learning and end-to-end Data Ecosystems for Oil & Gas industry. Prior to this, he spent 20+ years establishing and growing Data Management, Big Data and Analytics business for Schlumberger. …

Sunil Garg is the founder and CEO of dataVediK, an early stage startup specializing in Consulting, Big Data, Data Analytics, Machine Learning and end-to-end Data Ecosystems for Oil & Gas industry. Prior to this, he spent 20+ years establishing and growing Data Management, Big Data and Analytics business for Schlumberger. Sunil is a sought-after speaker at various industry conferences and also conducts Big Data, Machine Learning and Blockchain trainings for the Industry, the Government and the Academia.

Full Description


Date and Time

Thu, Jan. 16, 2020

11:30 a.m. - 1 p.m.
(GMT-0500) US/Central

Event has ended

Location

PETROLEUM CLUB (NEW LOCATION), 35th Floor, TOTAL Building

1201 LOUISIANA STREET, 35th Floor
Houston, Texas 77002



Group(s): Drilling