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.

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Course code

PE1623

Date

26 - 30 Sep 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1271

Team of 7
Per Person*

1799

Early Bird Fee
Per Person

2,199

Normal Fee
Per Person

2,399

Course code

PE1623

Date

26 - 30 Sep 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

953

Team of 7
Per Person*

1349

Early Bird Fee
Per Person

1,599

Normal Fee
Per Person

1,799

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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Course code

PE1613

Date

03 - 07 Oct 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

1854

Team of 7
Per Person*

2624

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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Course code

PE1606

Date

03 - 06 Oct 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1642

Team of 7
Per Person*

2324

Early Bird Fee
Per Person

2,899

Normal Fee
Per Person

3,099

Course code

PE1606

Date

03 - 06 Oct 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

1271

Team of 7
Per Person*

1799

Early Bird Fee
Per Person

2,199

Normal Fee
Per Person

2,399

November 2022

Power BI® – Business Data Analytics – Classroom Training

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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Course code

PE1596

Date

14 - 16 Nov 2022

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

3353

Team of 7
Per Person*

3509

Early Bird Fee
Per Person

3,699

Normal Fee
Per Person

3,899

Course code

PE1596

Date

14 - 16 Nov 2022

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

2493

Team of 7
Per Person*

2609

Early Bird Fee
Per Person

2,699

Normal Fee
Per Person

2,899

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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Course code

PE1605

Date

21 - 24 Nov 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1642

Team of 7
Per Person*

2324

Early Bird Fee
Per Person

2,899

Normal Fee
Per Person

3,099

Course code

PE1605

Date

21 - 24 Nov 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

1271

Team of 7
Per Person*

1799

Early Bird Fee
Per Person

2,199

Normal Fee
Per Person

2,399

Harness Big Data for Upstream Analytics - Virtual Instructor Led Training (VILT)

This 5-half day VILT course introduces the key concepts of ML & DL and the understanding of terminology and meaning of the AI landscape. The course will give you a deeper insight with case studies and will explore ML & DL soft-computing architecture and its parameters. The course will cover case studies in drilling and completion, subsurface reservoir characterization and production & forecasting optimization.

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Course code

PE1573

Date

28 Nov - 02 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1589

Team of 7
Per Person*

2249

Early Bird Fee
Per Person

2,799

Normal Fee
Per Person

2,999

Course code

PE1573

Date

28 Nov - 02 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

1271

Team of 7
Per Person*

1799

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.

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Course code

PE1579

Date

05 - 07 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

SGD

Team of 10
Per Person*

1324

Team of 7
Per Person*

1874

Early Bird Fee
Per Person

2,299

Normal Fee
Per Person

2,499

Course code

PE1579

Date

05 - 07 Dec 2022

Format

Virtual Instructor Led Training (VILT)

Currency

USD

Team of 10
Per Person*

1006

Team of 7
Per Person*

1424

Early Bird Fee
Per Person

1,699

Normal Fee
Per Person

1,899

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Introduction to Artificial Intelligence For Non-Data Scientists In Oil & Gas - Classroom Training

Artificial Intelligence is probably the most important technology development of this decade. Artificial Intelligence attempts to simulate several key human capabilities. Simply put, it is a tool that looks for hidden patterns in a massive pool of data that most energy companies are acquiring or developing in business daily. These patterns have predictive value. Machines that can learn from these massive amounts of data can help you make faster, better and cheaper decisions.

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