October 2021
Data-Driven Geophysical and Petrophysical Models – Virtual Instructor Led Training (VILT)
This three-half-day VILT course will then get you going with sound background understanding, illustrated by real case studies.
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PE1509Date
25 - 27 Oct 2021Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,165
Team of 7
Per Person*
1,649
Early Bird Fee
Per Person
1,999
Normal Fee
Per Person
2,199
Course code
PE1509Date
25 - 27 Oct 2021Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
900
Team of 7
Per Person*
1,274
Early Bird Fee
Per Person
1,499
Normal Fee
Per Person
1,699
November 2021
Power BI® - Business Data Analytics - Virtual Instructor Led Training (VILT)
This 3-full day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data.
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PE1524Date
29 Nov - 01 Dec 2021Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,695
Team of 7
Per Person*
2,399
Early Bird Fee
Per Person
2999
Normal Fee
Per Person
3199
Course code
PE1524Date
29 Nov - 01 Dec 2021Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,324
Team of 7
Per Person*
1,874
Early Bird Fee
Per Person
2299
Normal Fee
Per Person
2499
September 2022
Fundamentals of E&P Data Management – Virtual Instructor Led Training (VILT)
The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments.
Read MoreCourse code
PE1623Date
26 - 30 Sep 2022Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,271
Team of 7
Per Person*
1,799
Early Bird Fee
Per Person
2,199
Normal Fee
Per Person
2,399
Course code
PE1623Date
26 - 30 Sep 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
953
Team of 7
Per Person*
1,349
Early Bird Fee
Per Person
1,599
Normal Fee
Per Person
1,799
Assessing and Managing Cyber Security Risks for Essential Services Operators – Virtual Instructor Led Training (VILT)
This 3 half-day Virtual Instructor Led Training (VILT) course will help participants grasp the idea of real-world risk management and how this relates to the cyber world. It will cover topics surrounding identifying cyber risks and vulnerabilities, guidance on applying administrative actions, and comprehensive solutions to ensure your organization is adequately secure and protected.
Read MoreCourse code
PWR1091Date
12 - 14 Sep 2022Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,695
Team of 7
Per Person*
2,399
Early Bird Fee
Per Person
2,999
Normal Fee
Per Person
3,199
Course code
PWR1091Date
12 - 14 Sep 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,324
Team of 7
Per Person*
1,874
Early Bird Fee
Per Person
2,299
Normal Fee
Per Person
2,499
October 2022
Practical Machine Learning Methods in Geoscience - Virtual Instructor Led Training (VILT)
Our 5 half-day Virtual Instructor Led Training (VILT) course introduces key concepts in Machine Learning (ML) and shows how they can be applied to geoscience data.
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PE1613Date
03 - 07 Oct 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,854
Team of 7
Per Person*
2,624
Early Bird Fee
Per Person
3,199
Normal Fee
Per Person
3,499
Refinery Asset Performance Analytics & Digital Twins – Virtual Instructor Led Training (VILT)
This 4 half-day Virtual Instructor-Led Training (VILT) course discusses Asset Performance Analytics (APA) in a Refinery. It addresses the fundamental business problems to yield a Smart Digital Twin, providing an end-to-end centralized perspective of all critical operations.
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PE1606Date
03 - 06 Oct 2022Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,642
Team of 7
Per Person*
2,324
Early Bird Fee
Per Person
2,899
Normal Fee
Per Person
3,099
Course code
PE1606Date
03 - 06 Oct 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,271
Team of 7
Per Person*
1,799
Early Bird Fee
Per Person
2,199
Normal Fee
Per Person
2,399
November 2022
Computer Vision and Real-Time Analytics – Virtual Instructor Led Training (VILT)
This 4 half-day Virtual Instructor-Led Training (VILT) course introduces Computer Vision (CV) and real-time data analysis. It discusses several architectures and data quality procedures to optimize operations and maximize production.
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PE1605Date
21 - 24 Nov 2022Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,642
Team of 7
Per Person*
2,324
Early Bird Fee
Per Person
2,899
Normal Fee
Per Person
3,099
Course code
PE1605Date
21 - 24 Nov 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,271
Team of 7
Per Person*
1,799
Early Bird Fee
Per Person
2,199
Normal Fee
Per Person
2,399
December 2022
Data-Driven Geophysical and Petrophysical Models – Virtual Instructor Led Training (VILT)
This three-half-day VILT course will then get you going with sound background understanding, illustrated by real case studies.
Read MoreCourse code
PE1579Date
05 - 07 Dec 2022Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,324
Team of 7
Per Person*
1,874
Early Bird Fee
Per Person
2,299
Normal Fee
Per Person
2,499
Course code
PE1579Date
05 - 07 Dec 2022Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,006
Team of 7
Per Person*
1,424
Early Bird Fee
Per Person
1,699
Normal Fee
Per Person
1,899
September 2023
Fundamentals of E&P Data Management – Virtual Instructor Led Training (VILT)
The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments.
Read MoreCourse code
PE1683Date
18 - 22 Sep 2023Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,271
Team of 7
Per Person*
1,799
Early Bird Fee
Per Person
2,199
Normal Fee
Per Person
2,399
Course code
PE1683Date
18 - 22 Sep 2023Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
953
Team of 7
Per Person*
1,349
Early Bird Fee
Per Person
1,599
Normal Fee
Per Person
1,799
Assessing and Managing Cyber Security Risks for Essential Services Operators – Virtual Instructor Led Training (VILT)
This 3 half-day Virtual Instructor Led Training (VILT) course will help participants grasp the idea of real-world risk management and how this relates to the cyber world. It will cover topics surrounding identifying cyber risks and vulnerabilities, guidance on applying administrative actions, and comprehensive solutions to ensure your organization is adequately secure and protected.
Read MoreCourse code
PWR1150Date
18 - 20 Sep 2023Format
Virtual Instructor Led Training (VILT)Currency
SGDTeam of 10
Per Person*
1,695
Team of 7
Per Person*
2,399
Early Bird Fee
Per Person
2,999
Normal Fee
Per Person
3,199
Course code
PWR1150Date
18 - 20 Sep 2023Format
Virtual Instructor Led Training (VILT)Currency
USDTeam of 10
Per Person*
1,324
Team of 7
Per Person*
1,874
Early Bird Fee
Per Person
2,299
Normal Fee
Per Person
2,499
May 2024
Data-Driven Forecasting for Optimized Production in Well Portfolio – Virtual Instructor Led Training (VILT)
This Virtual Instructor-Led Training (VILT) course will discuss key Machine Learning (ML) and Deep Learning (DL) techniques to help the reservoir engineer analyze the production time-series data to forecast well performance. Participants will explore and fully understand the difference between supervised and unsupervised learning and how to use the ML/DL algorithms under each learning technique.
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