Leveraging Analytics to Improve Drilling Performance and Safety: The Experience of ‘Shell’ and ‘CoVar’

Speaker: Brian Tarr
Speaker Brian Tarr
Brian Tarr is a Senior Well Engineer at Shell based in Houston, Texas. His long career has included assignments in both drilling and completion operations and he has managed several significant technology projects related to well construction process safety, including the first surface BOP implementation for a deepwater subsea develop ...

Brian Tarr is a Senior Well Engineer at Shell based in Houston, Texas. His long career has included assignments in both drilling and completion operations and he has managed several significant technology projects related to well construction process safety, including the first surface BOP implementation for a deepwater subsea develop (offshore Brazil) and the design and construction of compact, modular, subsea capping stacks (for deployment in the North Sea and offshore S.E. Asia). 


Mr. Tarr has previously served as both a review committee chairman and a technical editor for the SPE Drilling and Completion magazine. He has also been active in both IADC and API well control related committees, including contributing to the 2nd edition of the IADC Deepwater Well Control Guidelines and to API RP 96, Deepwater Well Design and Construction.


He has a Master of Petroleum Engineering degree from Heriot Watt University, Edinburgh Scotland, and is a registered professional engineer in Texas.

Full Description
Speaker: Mark W. Hibbard
Speaker Mark W. Hibbard
Prior to founding CoVar, Mark was Executive Vice President and Chief Technology Officer of NIITEK, Inc., a company dedicated to saving warfighter lives through the development and manufacture of its proprietary ground penetrating radar sensor systems. Mark was responsible for technology and product development from the inception of the company, ...

Prior to founding CoVar, Mark was Executive Vice President and Chief Technology Officer of NIITEK, Inc., a company dedicated to saving warfighter lives through the development and manufacture of its proprietary ground penetrating radar sensor systems. Mark was responsible for technology and product development from the inception of the company, through the initial deployment of its first system, to aggregate sales in excess of $250M. He holds six patents, and has presented as an invited speaker at conferences on counter-IED and sensing technologies. Mark has a Bachelor of Science in Physics from the College of William and Mary and a Master of Business Administration from the Robert H. Smith School of Business, University of Maryland.  Mark’s vision for CoVar is to create world-changing products; foster an environment that rewards ingenuity and innovation as well as delivery and accountability; and solve real-world problems by combining state-of-the-art technology with common-sense practicality.

Full Description

 

Topic 1: Shell Machine Learning Inplementation : Automated Kick Detection during Connections

In 2010 Shell began investigating how to automate the initial response to a well control incident.  Since at least 25% of kicks in deep water GoM wells occur on connections it was quickly realized that robust kick detection during connections was important but especially challenging due to the associated transient flow and pit volume signatures.  A work stream was kicked-off to develop new software based on pattern recognition technology and machine learning. The resulting IDAPS (Influx Detection at Pumps Stopped) software has now been implemented as a real-time monitoring application for all Shell operated GoM deep water wells.  Presentation will include IDAPS development roadmap and implementation results, including adding a ballooning discriminator.  

 

Topic 2: Covar's Adaptive Alarms and Computer Vision applications for drilling industry

Machine learning technology, including data analytics and computer vision, have been maturing rapidly over the past decade and applications range from autonomous driving to facial recognition to defense applications.  CoVar has developing applications for these technologies in the oil and gas drilling industry.  This talk will focus on two technology lines: CoVar Adaptive Alarms and CoVar Computer Vision.  CoVar Adaptive Alarms applies machine learning pattern recognition approaches to real-time drilling traces to better inform the driller of impending issues and hazards, including influxes, losses, and stuck pipe/pack-off while reducing alarm fatigue and workload.  CoVar Computer Vision applications offers a new sensing modality for rig-floor sensing problems that are difficult or impossible to instrument with conventional instrumentation.  These include automated pipe measurement, shaker table solids measurement, and equipment and personnel location.  CoVar’s unique technical approach to these problems combines domain expertise derived simplified physical models and big-data statistical methodologies into a reliable and intelligent AI solution.

 

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:
 
Organizer SPE GCS Data Analytics

Supriya Gupta - 857-264-9460


AJ Gundepalli - 806-319-0270


2017 Events Sponsor:


Accenture logo

When?

Thu, Mar. 23, 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.
Event has ended

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.