SPENC Information Desk
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Meet Our Speakers
A: Special Guest of Honour
B: Guest of Honour
C: Special Guest
D: Panelist
E: Short Course Facilitators
Host
Agenda
25
Opening Session
Opening Session

Amidst growing concerns about the environmental impacts of oil and gas activities (eg. carbon emissions), awareness and policy geared towards renewable energy use and energy efficiency is spreading.  This places a potential cap to oil and gas demand in the future.The impact of this transition towards a low carbon economy on energy-deficient and energy- hungry countries like Nigeria (where enhanced energy access and availability is crucial to human well-being and country’s economic growth and development), is a subject of great concern for sustainability.  Consequently, there is a tendency of having rapid evolution and adoption of renewable energy technology (solar and wind) thereby reducing energy costs, changing lifestyles and habits by our large youth population.All these are expected to impact the economic futures of the affected countries and the future of Energy.

Main Stage
Alex Nachi Tarka, CPG, FNAPE
Engr. Babagana Mohammed, FNSE
Engr. Sarki Auwalu
H.E. Chief Timipre Marlin Sylva
Mr. Mele Kolo Kyari
Mr. Nicolas Odinuwe
Shauna Noonan
Mr. Joseph Nwakwue
Start
10:00 AM
End
11:20 AM
Plenary Session I
Plenary Session I

Focus and key objectives of the session will be on the following:

Increased global concern about climate change and impact on demand for conventional sources of energy and future growth potential of the energy industry

ESG considerations and requirements for project financing in the energy industry Approaches to investing in renewable energy resources and the necessary clean energy technologies and infrastructure.

Is Gas Flare Commercialization a Panacea to the problem?

Policy and Regulatory framework for compliance

How can energy companies use their resources to drive research into low carbon and renewable energy to deliver an environmental sustainable solution?

Leapfrog opportunities for value capture through technological / infrastructural domiciliation in a decentralized supply chain 

Gas as a lever for economic diversification and macroeconomic growth

Main Stage
Aderonke Onadeko
Henry Olufumi Macauley
Mr. Chikezie Nwosu
Nike Kolawole
Pearl Uzokwe
Start
11:30 AM
End
1:50 PM
Short Course 1
Short Course 1

Course Objective

·         Understand the difference between traditional programming and artificial intelligence (AI)

·         Understand the theory of artificial intelligence, machine learning, deep learning etc.

·         Understand how real-world problems are solved with artificial intelligence

·         Learn the definition of the buzzwords, concepts and terminologies

·         Develop enough knowledge to identify business challenges well suited for AI

·         Gain hands-on knowledge on embedding digitalisation and digital practices within their everyday work process –   digitisation, integration, democratisation and analytics.

Course Outline

Day 1 - Introduction to AI/ML

Day 2 - Hands-on Session on ML

Day 3 - Review of Day 2 exercise, Q&A

Short Course #1
Abdulrahman Mijinyawa
Dr. Kabir Mijinyawa
Mr. ThankGod Egbe
Start
2:00 PM
End
5:00 PM
Short Course 2
Short Course 2
Short Course #2
Mr. Pringle Egbe
Start
2:00 PM
End
5:00 PM
Short Course 3
Short Course 3

This course presents an overview of petroleum fiscal arrangements and general elements of fiscal regimes. We review the economic rent extraction mechanism, keeping in perspective the mutuality of interests of stakeholders -- government, investors and society. The aim is to enhance requisite knowledge for the understanding of the mechanics of estimating and evaluating the effects of fiscal terms and instruments on upstream project economics and systems metrics within the context of global competiveness. Further a stochastic spreadsheet modeling framework is applied to quantify the associated risk and uncertainty in upstream oil and gas investment case studies in Nigeria.

Short Course #3
Professor Wumi Iledare
Start
2:00 PM
End
5:00 PM
Short Course 4
Short Course 4

·         Purpose of Resource & Reserves Evaluation & Reporting 

·         History of PRMS

·         Concepts & Terminology

·         Classification Framework

·         Reserves & Resource Definition

·         Reserves & Resource Classes & Sub-classes

·         Reserves & Resource Categories

·         Evaluation & Reporting

·         Resource Evaluation Methods

·         Uncertainty Management Methods

·         Aggregation Methods

Short Course #4
Engr. Ukauku Ikwan, Ph.D
Start
2:00 PM
End
5:00 PM
Short Course 5
Short Course 5
Dr. Michael A. Adegbite
Emmanuel Okudor
Start
2:00 PM
End
5:00 PM
Short Course 6
Short Course 6
Short Course #6
Collins Alaka
Start
2:00 PM
End
5:00 PM
Short Course 7
Short Course 7

This course demonstrates the fundamentals of integrated asset modeling studies. It covers coupling model procedures for reservoir to network, network to surface and reservoir, network to economic model including the composition management between models.

The course also covers a brief introduction to IAM utilities like variable sensitivity, and optimizer.

Short Course #7
Obianuju Igbokwe
Samuel Aderemi
Sofyan Salem
Start
2:00 PM
End
5:00 PM
26
Plenary Session II: OnDemand
Plenary Session II: OnDemand
Main Stage
Anibor Kragha
Fatona ‘Layi Francis (DR.)
Mr. Chikezie Nwosu
Mr. D.V.G. Edwin
Mustapha Y. YAKUBU (Engr.) FNSE
Start
9:00 AM
End
10:00 AM
Short Course 1
Short Course 1

Course Objective

·         Understand the difference between traditional programming and artificial intelligence (AI)

·         Understand the theory of artificial intelligence, machine learning, deep learning etc.

·         Understand how real-world problems are solved with artificial intelligence

·         Learn the definition of the buzzwords, concepts and terminologies

·         Develop enough knowledge to identify business challenges well suited for AI

·         Gain hands-on knowledge on embedding digitalisation and digital practices within their everyday work process –   digitisation, integration, democratisation and analytics.

Course Outline

Day 1 - Introduction to AI/ML

Day 2 - Hands-on Session on ML

Day 3 - Review of Day 2 exercise, Q&A

Short Course #1
Abdulrahman Mijinyawa
Dr. Kabir Mijinyawa
Mr. ThankGod Egbe
Start
2:00 PM
End
5:00 PM
Short Course 2
Short Course 2
Short Course #2
Mr. Pringle Egbe
Start
2:00 PM
End
5:00 PM
Short Course 3
Short Course 3

This course presents an overview of petroleum fiscal arrangements and general elements of fiscal regimes. We review the economic rent extraction mechanism, keeping in perspective the mutuality of interests of stakeholders -- government, investors and society. The aim is to enhance requisite knowledge for the understanding of the mechanics of estimating and evaluating the effects of fiscal terms and instruments on upstream project economics and systems metrics within the context of global competiveness. Further a stochastic spreadsheet modeling framework is applied to quantify the associated risk and uncertainty in upstream oil and gas investment case studies in Nigeria.

Short Course #3
Professor Wumi Iledare
Start
2:00 PM
End
3:00 PM
Short Course 4
Short Course 4

·         Purpose of Resource & Reserves Evaluation & Reporting 

·         History of PRMS

·         Concepts & Terminology

·         Classification Framework

·         Reserves & Resource Definition

·         Reserves & Resource Classes & Sub-classes

·         Reserves & Resource Categories

·         Evaluation & Reporting

·         Resource Evaluation Methods

·         Uncertainty Management Methods

·         Aggregation Methods

Short Course #4
Engr. Ukauku Ikwan, Ph.D
Start
2:00 PM
End
5:00 PM
Short Course 5
Short Course 5
Short Course #5
Dr. Michael A. Adegbite
Emmanuel Okudor
Start
2:00 PM
End
5:00 PM
Short Course 6
Short Course 6
Short Course #6
Collins Alaka
Start
2:00 PM
End
5:00 PM
Short Course 7
Short Course 7

This course demonstrates the fundamentals of integrated asset modeling studies. It covers coupling model procedures for reservoir to network, network to surface and reservoir, network to economic model including the composition management between models.

The course also covers a brief introduction to IAM utilities like variable sensitivity, and optimizer.

Short Course #7
Obianuju Igbokwe
Samuel Aderemi
Sofyan Salem
Start
2:00 PM
End
5:00 PM
Short Course 8
Short Course 8
Ezinne Nnebocha
Raymond Lawani
Start
2:00 PM
End
5:00 PM
27
Plenary Session III: OnDemand
Plenary Session III: OnDemand

In light of the twin pressures of rising global energy demand and increasing clamor about climate change, the drive towards cleaner energy sources continues to intensify. This gradual but sure shift away from fossil fuels is leading to chronic unease, especially amongst oil and gas professionals and countries that depend on the industry for revenue and jobs.

Many oil workers are concerned about the long term relevance of their current skill sets in a future world of a much more diversified energy supply mix.

How do people remain relevant and resilient in this relatively uncharted energy terrain? How sufficient and fit are current skill sets for the future? What additional skills and capabilities must today's oil and gas professionals pick up?

Main Stage
Cecilia Nkeoma Aqua-Umoren
Eberechukwu Oji
Mrs. Silfat Olabimpe AFOLABI
Mrs. Susan Howes
Nnoaham Iyke
Start
9:00 AM
End
10:00 AM
SPENC WAY Awards
SPENC WAY Awards
Main Stage
Start
12:30 PM
End
1:30 PM
Short Course 1
Short Course 1

Course Objective

·         Understand the difference between traditional programming and artificial intelligence (AI)

·         Understand the theory of artificial intelligence, machine learning, deep learning etc.

·         Understand how real-world problems are solved with artificial intelligence

·         Learn the definition of the buzzwords, concepts and terminologies

·         Develop enough knowledge to identify business challenges well suited for AI

·         Gain hands-on knowledge on embedding digitalisation and digital practices within their everyday work process –   digitisation, integration, democratisation and analytics.

Course Outline

Day 1 - Introduction to AI/ML

Day 2 - Hands-on Session on ML

Day 3 - Review of Day 2 exercise, Q&A

Short Course #1
Abdulrahman Mijinyawa
Dr. Kabir Mijinyawa
Mr. ThankGod Egbe
Start
2:00 PM
End
5:00 PM
Short Course 2
Short Course 2
Short Course #2
Mr. Pringle Egbe
Start
2:00 PM
End
5:00 PM
Short Course 3
Short Course 3

This course presents an overview of petroleum fiscal arrangements and general elements of fiscal regimes. We review the economic rent extraction mechanism, keeping in perspective the mutuality of interests of stakeholders -- government, investors and society. The aim is to enhance requisite knowledge for the understanding of the mechanics of estimating and evaluating the effects of fiscal terms and instruments on upstream project economics and systems metrics within the context of global competiveness. Further a stochastic spreadsheet modeling framework is applied to quantify the associated risk and uncertainty in upstream oil and gas investment case studies in Nigeria.

Short Course #3
Professor Wumi Iledare
Start
2:00 PM
End
5:00 PM
Short Course 4
Short Course 4

·         Purpose of Resource & Reserves Evaluation & Reporting 

·         History of PRMS

·         Concepts & Terminology

·         Classification Framework

·         Reserves & Resource Definition

·         Reserves & Resource Classes & Sub-classes

·         Reserves & Resource Categories

·         Evaluation & Reporting

·         Resource Evaluation Methods

·         Uncertainty Management Methods

·         Aggregation Methods

Short Course #4
Engr. Ukauku Ikwan, Ph.D
Start
2:00 PM
End
5:00 PM
Short Course 5
Short Course 5
Short Course #5
Dr. Michael A. Adegbite
Emmanuel Okudor
Start
2:00 PM
End
5:00 PM
Short Course 6
Short Course 6
Short Course #6
Collins Alaka
Start
2:00 PM
End
5:00 PM
Short Course 7
Short Course 7

This course demonstrates the fundamentals of integrated asset modeling studies. It covers coupling model procedures for reservoir to network, network to surface and reservoir, network to economic model including the composition management between models.

The course also covers a brief introduction to IAM utilities like variable sensitivity, and optimizer.

Short Course #7
Obianuju Igbokwe
Samuel Aderemi
Sofyan Salem
Start
2:00 PM
End
5:00 PM
Short Course 8
Short Course 8
Ezinne Nnebocha
Raymond Lawani
Start
2:00 PM
End
5:00 PM
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