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Data Analytics, Machine Learning & Artificial Intelligence > Data Analytics
Workflows for Artificial Lift, Production and Facility Engineers - Classroom
Training


DATA ANALYTICS WORKFLOWS FOR ARTIFICIAL LIFT, PRODUCTION AND FACILITY ENGINEERS
– CLASSROOM TRAINING

Brochure Download Request for Online Training Request an In-House Proposal
Request for In-person Training


Code Date Format Currency Team of 10
Per Person* Team of 7
Per Person* Early Bird Fee
Per Person Normal Fee
Per Person PE1738 11 - 12 Sep 2023 Kuala Lumpur, Malaysia SGD 2837 2969 2,999
3,299 PE1738 11 - 12 Sep 2023 Kuala Lumpur, Malaysia USD 2132 2232 2,255 2,480

*Fee per person in a team of 7 or 10 participating from the same organisation,
registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation,
alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees
for team based learning. Contact us on info@asiaedge.net to learn more today!

CODE

PE1738

DATE

11 - 12 Sep 2023

FORMAT

Kuala Lumpur, Malaysia

CURRENCY

SGD

TEAM OF 10
PER PERSON*

2837

TEAM OF 7
PER PERSON*

2969

EARLY BIRD FEE
PER PERSON

2,999

NORMAL FEE
PER PERSON

3,299

CODE

PE1738

DATE

11 - 12 Sep 2023

FORMAT

Kuala Lumpur, Malaysia

CURRENCY

USD

TEAM OF 10
PER PERSON*

2132

TEAM OF 7
PER PERSON*

2232

EARLY BIRD FEE
PER PERSON

2,255

NORMAL FEE
PER PERSON

2,480

*Fee per person in a team of 7 or 10 participating from the same organisation,
registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation,
alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format


ABOUT THIS TRAINING COURSE

Business Impact: The main aim is to provide insight and understanding of data
analytics and machine learning principles through applications. Field data is
used to explain data-analysis workflows. Using easy to follow solution scripts,
the participants will assess and extract value from the data sets. Hands-on
solution approach will give them confidence to try out applicable techniques on
data from their field assets.

Data analysis means cleaning, inspecting, transforming, and modeling data with
the goal of discovering new, useful information and supporting decision-making.
In this hands-on 2-day training course, the participants learn some data
analysis and data science techniques and workflows applied to petroleum
production (specifically artificial lift) while reviewing code and practicing.
The focus is on developing data-driven models while keeping our feet closer to
the underlying oil and gas production principles.

Unique Features:

 * Eight business use cases covering their business impact, code walkthroughs
   for most all and solution approach.
 * Industry data sets for participants to practice on and take home.
 * No software or complicated Python frameworks required.

Training Objectives

After the completion of this training course, participants will be able to:

 * Understand digital oil field transformation and its impact on business
 * Examine machine learning methods
 * Review workflows and code implementations
 * After completing the course, participants will have a set of tools and some
   pathways to model and analyze their data in the cloud, find trends, and
   develop data-driven models

Target Audience

This training course is suitable and will greatly benefit the following specific
groups:

 * Artificial lift, production and facilities engineers and students to enhance
   their knowledge base, increase technology awareness, and improve the facility
   with different data analysis techniques applied on large data sets

Course Level
 * Intermediate
 * Advanced

Training Methods

The course discusses several business use-cases that are amenable to data-driven
workflows. For each use case, the instructor will show the solution using a data
analysis technique with Python code deployed in the Google cloud. Trainees will
solve a problem and tweak their solution.

Course Duration: 2 days in total (14 hours).

Training Schedule

0830 – Registration 0900 – Start of training 1030 – Morning Break 1045 –
Training recommences 1230 – Lunch Break 1330 – Training recommences 1515 –
Evening break 1530 – Training recommences 1700 – End of Training

The maximum number of participants allowed for this training course is 20.

This course is also available through our Virtual Instructor Led Training (VILT)
format.

Prerequisites:

 * Understanding of petroleum production concepts
 * Knowledge of Python is not a must but preferred to get the full benefit.
 * The training will use the Google Collaboratory environment available in
   Google-Cloud for hands-on exercises
 * Trainees will need to bring a computer with a Google Chrome browser and a
   Google email account (available for free)

Trainer

Your expert course leader has over 35 years’ work-experience in multiphase flow,
artificial lift, real-time production optimization and software
development/management. His current work is focused on a variety of use cases
like failure prediction, virtual flow rate determination, wellhead integrity
surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has
worked for national oil companies, majors, independents, and service providers
globally. He has multiple patents and has delivered a multitude of industry
presentations. Twice selected as an SPE distinguished lecturer, he also
volunteers on SPE committees. He holds a Bachelor’s and Master’s in chemical
engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in
Petroleum Engineering from the University of Tulsa, USA.

Highlighted Work Experience:

 * At Weatherford, consulted with clients as well as directed teams on digital
   oilfield solutions including LOWIS – a solution that was underneath the
   production operations of Chevron and Occidental Petroleum across the globe.
 * Worked with and consulted on equipment’s like field controllers, VSDs,
   downhole permanent gauges, multiphase flow meters, fibre optics-based
   measurements.
 * Shepherded an enterprise-class solution that is being deployed at a major oil
   and gas producer for production management including artificial lift
   optimization using real time data and deep-learning data analytics.
 * Developed a workshop on digital oilfield approaches for production engineers.

Patents:

 * Principal inventor: “Smarter Slug Flow Conditioning and Control”
 * Co-inventor: “Technique for Production Enhancement with Downhole Monitoring
   of Artificially Lifted Wells”
 * Co-inventor: “Wellbore real-time monitoring and analysis of fracture
   contribution”

Worldwide Experience in Training / Seminar / Workshop Deliveries:

 * Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he
   has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of
   Southern California, and U of Houston.
 * He has conducted seminars, bespoke trainings / workshops globally for
   practicing professionals:
   * Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor,
     KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco,
     Shell, Sonatrech, QP, Tatneft, YPF, and others.
   * Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China,
     Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait,
     Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia,
     Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE,
     Ukraine, Uzbekistan, Venezuela.
   * Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol,
     UEP-Pakistan, and others since pandemic.

POST TRAINING COACHING SUPPORT (OPTIONAL)

To further optimise your learning experience from our courses, we also offer
individualized “One to One” coaching support for 2 hours post training. We can
help improve your competence in your chosen area of interest, based on your
learning needs and available hours. This is a great opportunity to improve your
capability and confidence in a particular area of expertise. It will be
delivered over a secure video conference call by one of our senior trainers.
They will work with you to create a tailor-made coaching program that will help
you achieve your goals faster.
Request for further information post training support and fees applicable

Accreditions And Affliations



LEARN WHAT PAST PARTICIPANTS HAVE SAID ABOUT ENERGYEDGE TRAINING COURSES

One of the best instructors. Very knowledgeable and professional, kind, funny
and very understandable. Thank you very much.

SENIOR PETROLEUM ENGINEER, KUWAIT OIL COMPANY

Highly recommended course for all Petroleum Engineers, really helpful for myself
with less than 5 years in the role. Very applicable in my daily work and also
fill in the technical gaps that I have in the understanding of gas lift.

PETROLEUM ENGINEER, PETROFAC

The trainer was excellent, extremely professional & knowledgeable. I can
confidently say that I have closed some gaps from the GL technical point of
view.

WELL SERVICES SUPERVISOR, PETROFAC MALAYSIA LTD.

Register Now Request an In-House Proposal Request for In-person Training Request
for Online Training Quick Enquiry Brochure Download


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