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WHY SHOULD YOU ATTEND? WHO SHOULD ATTEND

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As asset yields are becoming harder to realise and even harder to forecast, it is imperative to deploy and advance science and data-driven technologies. As we seek to improve production operations management, now is the time to re-look our processes that capture and transform raw data into actionable insights to improve asset value and returns, while enhancing safe and environmentally friendly operations. To maintain profitability, predict business outcomes and derive real-time decisions, it is becoming fundamental for the oil & gas industry to:

♦ Correctly acquire, classify and interpret all geological, engineering, production, equipment and performance data ♦ Manage the data repositories securely

♦ Understand and analyse trends and correlations to quickly and efficiently unlock the “hidden” knowledge from complex large-scale datasets

With the growth of Intelligent Digital Oil-Field (iDOF) assets and projects, the oil & gas industry needs to adapt and take advantage of a next generation of transformative digital technologies. The integration of advanced remote smart sensing, surveillance tools and work processes results in an exponential growth in the volume and complexity of acquired data. A key challenge is to effectively mine huge amounts of acquired datasets, while at the same time deriving cost-effective processes and predictive analytical platforms for achieving critical objectives such as:

♦ Generating opportunities to debottleneck or improve production rates and reserves ♦ Optimising operations and improving efficiency across the product / value chain ♦ Increasing operational productivity and efficiency across major business units ♦ Improving ability to recognise and react rapidly to changes in performance

WHY SHOULD YOU ATTEND?

✓ Learn the value of information acquired ✓ Application of data throughout the field life cycle ✓ Learn how others manage data ✓ Learn about the tools and workflows available ✓ Demonstrate cost benefits of implementation ✓ Learn how operators are using the data

WHO SHOULD ATTEND

The Workshop will be of particular interest to operators and key service providers in the upstream oil & gas business including:

✓ Asset Managers ✓ Surface & Subsurface Engineers

✓ Geoscientists ✓ Production & Optimisation Engineers

✓ Infrastructure Developers ✓ Data Scientists & Engineers ✓ Surveillance Engineers ✓ Chief Information Officers

SPE Training Course on Oilfield Data Mining will be held on 25 February 2016 and be presented by Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry. He is also the President and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University.

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Co-Chairpersons

Mohamad Othman General Manager PETRONAS

TECHNICAL PROGRAMME COMMITTEE

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Abdul Rahman Abdul Rahim

Senior Technical Professional Advisor ExxonMobil E&P Malaysia Inc.

The Workshop aims to facilitate oil & gas operators, service companies and other organisations in the exchange of information and knowledge on current technologies, methods, solutions and best practices, including:

♦ Ascribing value to information – What to collect, when and why? Not smart data, but being smart about your data ♦ Predicaments of selecting the “fit-for-purpose” tools and field life-cycle considerations

♦ How to collect, classify and maintain data efficiently

♦ Automation in large-scale data analytics – Is it feasible, when and how? ♦ Large-scale data analytics framework

♦ Value of data integration – digital surveillance and optimisation ♦ Pros and cons of large-scale data-driven analytics

♦ Industry trend in the IoT(Internet of Things) in oil & gas

SESSION HIGHLIGHTS

Workshop Advisor

Lee Kean-Seng

Reservoir Engineering Supervisor (GM) ExxonMobil E&P Malaysia Inc.

Juan Carlos G. Bonilla

SIS Head of Strategy & Business Transformation Services

Schlumberger Jan Briers

Asia Pacific RTO Deployment Coordinator Shell Global Solutions (Malaysia) Sdn. Bhd. Robert Do

Director, International Zedi

Eddy Kamaruddin

Partner (Geoscience & Client Relationships) Beicip Tecsol

Marzuki Kamaruzaman

Senior Manager, Planning & Delivery, Technical Data, Technical Global, Upstream Business

PETRONAS

Rafiqah Rafar

Business Development Manager

SCOMI Energy Services Bhd. Shaiful Helmi Shafie

Technical Advisor – Asia Pacific Tendeka

Peter Mark Smith

Region Leader – Asia Pacific, Lufkin Pumps, Automation & Optimisation

GE Oil & Gas Martin Storey Principal Well Data QA Lan Mai-Cao

Head, Department of Drilling & Production Engineering, Faculty of Geology & Petroleum Engineering (GEOPET)

Ho Chi Minh City U. of Technology (HCMUT)

Jonathan Lee Seng Wei Director, Oil & Gas SAS Institute Sdn. Bhd. Philip Lesslar

Principal Consultant, Technical Assurance, Regulatory Compliance & Technical Assurance, Technical Data, Technical Global

PETRONAS Michael E. Potts

Region Manager for Software & Flow Measurement

Weatherford

Committee Members

21-24 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia

MAXIMISING ASSET VALUE THROUGH

DATA SCIENCE AND ANALYTICS

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SUNDAY, 21 FEBRUARY 2016

1400 – 1600 Final Programme Committee Meeting 1700 – 1900 SPE Workshop Registration

1730 – 1830 Discussion Leaders and Session Chairpersons/Managers Briefing 1830 – 1930 Welcome Reception

MONDAY, 22 FEBRUARY 2016

0730 – 0830 Arrival of Delegates

0830 – 0835 Safety Announcement by Hotel

0835 – 0845 Introduction/Opening by Workshop Co-Chairpersons 0845 – 0930 Session 1: Keynote Address

0930 – 1000 Group Photo/Coffee Break

1000 – 1200 Session 2: Panel Session – Where Are We Now?

Session Chairs: Juan Carlos G. Bonilla, Schlumberger; Philip Lesslar, PETRONAS

Maximising asset value through data analytics starts with an understanding of the problems we are trying to solve, where we are and what the journey looks like. We need to quantify value in order to properly track progress and targets. Such quantification has been mostly lacking in data management. This panel session will weigh in on the need for taking a more scientific and quantified approach to this subject area versus the adequacy of anecdotal justifications.

1200 – 1300 Lunch

1300 – 1500 Session 3: Subsurface Technology (Reservoir)

Session Chairs: Eddy Kamaruddin, Beicip Tecsol; Lan Mai-Cao, HCMUT

With recent plunge in global oil price, a prudent reservoir management through better understanding of the subsurface is ever more important. Adoption of better data management and data analysis technique can deliver improved visualisation and more accurate interpretation of the subsurface. An integral part of the discussion is controlling the cost of technology while still delivering the intended value. The exponential availability in connected sensors and devices add to the complexity of subsurface data management and analysis.

This session intends to highlight these issues, provide understanding of the broader technical challenges, and attempt at rationalising currently used methods in meeting these challenges.

1500 – 1515 Coffee Break

1515 – 1715 Session 4: Surface Technology (Instrumentation)

Session Chairs: Michael E. Potts, Weatherford; Juan Carlos G. Bonilla, Schlumberger

The building blocks of the digital oilfield begin with field measurement. However, a solid foundation needs the design, implementation and management of the necessary surface technology to be carefully considered. This session will discuss such surface technology and instrumentation, with session topics focusing on adding value, data management and case histories demonstrating real results. 1715 – 1815 Session 5: Poster Session (Refer to Page 4 for details on poster solicitation and information)

Session Chair: Martin Storey, Well Data QA 1900 onwards Group Dinner

TUESDAY, 23 FEBRUARY 2016

0730 – 0830 Arrival of Delegates

0830 – 1030 Session 6: Advent of Big Data vs Smart Data

Session Chairs: Jonathan Lee Seng Wei, SAS Institute Sdn Bhd; Peter Mark Smith, GE Oil & Gas Big Data are collected across upstream siloed engineering disciplines and are growing exponentially as digital oilfields are being implemented to manage conventional and unconventional assets. But are all the data collected relevant, smart and making business sense? More importantly, have they delivered the intended ROIs?

This session will explain by way of case studies, the issues faced by engineers in dealing with big data along the lifecycle of fields. It will present and discuss pertinent applications of analytical methodologies to help engineers in the oil and gas upstream business address problems compounded by big data. 1030 – 1045 Coffee Break

PRELIMINARY DAILY ACTIVITIES AND TECHNICAL AGENDA

Attention Nonmembers

Join Our Worldwide Membership!

Nonmember registrants are eligible for one (1) year SPE Membership at no additional cost. To take advantage of this offer, you must fill out the membership application form onsite.

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TRAINING COURSE

25 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia

OILFIELD DATA MINING

Course Description

In this course we give practical examples of how integrating all of the data commonly acquired in the oilfield can improve drilling efficiencies, help build better reservoir models, guide field development and improve well productivity.  The course is devoted to giving real examples of production improvement and recovery enhancement and thus equip you to use this technique in your own fields. It will help you unlock the power of the information you already possess on your operations.

This course examines the successful application of Artificial Intelligence and Data Mining (AI&DM) in the E&P industry in the past several years. It will start with the fundamentals of AI&DM, covering artificial neural networks, evolutionary computing, and fuzzy logic. The course is devoted to field application of this technology with focus on production optimization and recovery enhancement.

Why You Should Attend?

Large amount of data is routinely collected in the upstream oil and gas operation. The collected data can be utilised to gain a competitive advantage in optimising production and increasing recovery. It has been predicted that the use of AI technologies will introduce a step-change in how E&P industry does business in the future. Get ahead of the curve by learning how this technology works in our industry.

Who Should Attend?

This course is designed for engineers and managers. Specifically those involved with drilling, reservoir, completion and production in operating and service companies. In general, those involved in planning, completion, and operation in assets are the main target audience.

Course Instructor

Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry, is the president and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University. He holds B.S., MS, and PhD degrees in petroleum and natural gas engineering.

He has authored more than 150 technical papers and carried out more than 50 projects for NOCs and IOCs. He is a SPE Distinguished Lecturer and has been featured in the Distinguished Author Series of SPE’s Journal of Petroleum Technology (JPT) four times. He was the founder and the program chair of Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to data mining. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and was a member of U.S. Secretary of Energy’s Technical Advisory Committee on Unconventional Resources (2008-2014). He represents the United States in the International Standard Organization (ISO) on Carbon Capture and Storage.

Continuing Education Units (CEU)

Engineers are responsible for enhancing their professional competence throughout their careers. Licensed, chartered, and/or certified engineers are sometimes required by government entities to provide proof of continued professional development and training. Training credits are defined as Continuing Education Units (CEUs) or Professional Development Hours (PDHs).

Attendees of SPE training courses earn 0.8 CEUs for each day of training. We provide each attendee a certificate upon completion of the training course.

Daily Agenda

0800 – 0900 Registration Opens & Welcome Coffee/Tea 0900 – 1030 Introduction to Data Mining and Petroleum

Data-Driven Analytics (Part 1)

-

Domain Expertise versus Statistics

-

Petroleum Engineering Data Science 1030 – 1045 Coffee/Tea Break

1045 – 1200 Introduction to Data Mining and Petroleum Data-Driven Analytics (Part 2)

-

Artificial Neural Networks

-

Fuzzy Set Theory 1200 – 1300 Lunch

1300 – 1530 Introduction of Data-Driven Workflows Specifically developed for the Oil and Gas Industry (Part 1)

-

Production Optimization

-

Data Driven Reservoir Management 1530 – 1545 Coffee/Tea Break

1545 – 1700 Introduction of Data-Driven Workflows Specifically developed for the Oil and Gas Industry (Part 2)

-

Data Driven Full Field Models

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The Majestic Hotel Kuala Lumpur

5, Jalan Sultan Hishamuddin, 50000, Kuala Lumpur, Malaysia Tel: +60 3 2785 8000 Fax: +603 2785 8080

Website: www.majestickl.com

Documentation:

• Proceedings will not be published; therefore, formal papers and handouts are not expected from speakers. • Work in progress, new ideas, and interesting projects are sought.

• Note-taking by participants is encouraged. However, to ensure free and open discussions, no formal records will be kept.

Workshop Deliverables:

• The committee will prepare a full report containing highlights of the Workshop discussions. This report will be circulated to all attendees.

• PowerPoint presentation materials will be posted on a specific SPE URL site and made available to attendees after the Workshop. Provision of the materials by discussion leaders will signify their permission for SPE to do so.

Commercialism:

In keeping with the Workshop objectives and the SPE mission, excessive commercialism in posters or presentations will not be permitted. Company logos must be limited to the title slide and used only to indicate the affiliation of the presenter and others involved in the work.

Attendance Certificate:

All attendees will receive an attendance certificate attesting to their participation at the Workshop. This certificate will be provided in exchange for a completed Workshop Attendee Survey Form.

Continuing Education Units:

This Workshop qualifies for SPE Continuing Education Units (CEU) at the rate of 0.1 CEU per hour of the Workshop.

Transportation/Visa:

Attendees are advised to book their international / domestic airline tickets early from their country to Malaysia. All travelers to Malaysia must be in possession of passports valid for at least six (6) months with proof of onward passage, either return, or through tickets. Contact your local travel agent for information on visa requirements to Malaysia before your departure.

Dress Code:

Casual clothing is recommended. The Workshop atmosphere is informal.

Registration Fees:

• Registration fees include all workshop sessions, daily coffee breaks and luncheons, a welcome reception on Sunday, a group dinner on Monday, workshop workbook and a certificate of attendance.

• Registration fee does not include hotel accommodation and meal costs for additional family members. However, SPE will provide details of recommended hotels upon receipt of your registration.

Registration Policy:

• Registration fee MUST be paid in advance for attending the Workshop.

• Full fixed fee is charged regardless of the length of time registrant attends the Workshop.

• Fixed fee cannot be prorated or reduced for anyone (Workshop chairpersons, committee members, speakers, discussion leaders, students and registrants).

• Attendees are expected to attend all Workshop sessions and are not permitted to attend on a partial basis.

• No refund will be issued if a registrant fails to show up at the workshop onsite. Refer cancellation policy on registration form.

GENERAL INFORMATION

The Society of Petroleum Engineers (SPE) is a not-for-profit organisation. Income from this event will be invested back into SPE to support many other Society programmes. When you attend an SPE event, you help provide even more opportunities for industry professionals to enhance their technical and professional competence. Scholarships, certification, the Distinguished Lecturer programme, and SPE’s energy education programme Energy4me are just a few examples of programmes that are supported by SPE.

21-24 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia

MAXIMISING ASSET VALUE THROUGH

DATA SCIENCE AND ANALYTICS

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Cancellation Policy:

a) A processing fee of USD150.00 will be charged for

cancellation received before the registration deadline 22 January 2016.

b) Cancellation received after the registration deadline 22 January 2016, a 25% refund will be made to the registrant.

c) No refund on cancellation received seven (7) days, 15 February 2016, prior to the starting of the Workshop date. d) No refund will be issued if a registrant fails to show up on-site.

This form may be used as a company invoice.

Mail completed registration form with remittance and any supporting material to:

Society of Petroleum Engineers

Level 35, The Gardens South Tower, Mid Valley City Lingkaran Syed Putra, 59200 Kuala Lumpur, Malaysia. Tel : 60.3.2182.3000 Fax : 60.3.2182.3030

E-mail: spekl@spe.org

Payment by Telegraphic Transfer

Telegraphic Transfer (Bank details will be provided on the tax invoice).

Payment by Credit Card

Credit Card Payment will be in U.S. Dollars only

American Express

MasterCard

Visa

Diners Club Card Number Expiration Date (mm/yy)

_______________________________________________________________ Credit Card Billing Address & Zip/Postal Code

_______________________________________________________________ Name of Card Holder

_______________________________________________________________ Signature

Note: Forms will not be processed and space cannot be guaranteed unless accompanied by payment for total amount due.

Security Code (3 digits on back of card / 4 digits on the front of Amex)

21-24 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia

MAXIMISING ASSET THROUGH

DATA SCIENCE AND ANALYTICS WORKSHOP

SPE Member:

Yes

No

Membership No. ______________________________________________

Name:____________________________________________________________________________________________________________ (First / Forename) (Middle) (Last / Family Name)

Position: __________________________________________________________________________________________________________ Company:_________________________________________________________________________________________________________ Address:__________________________________________________________________________________________________________ Town/City:_______________________ Zip/PostalCode:_____________________ Country: __________________________________ Tel:_____________________________ Fax: _______________________________ Email: _____________________________________ Would you be willing to give a brief (10-15 minutes) presentation _______(Yes/No)? If yes, please attach the topic with a short abstract of your proposed presentation. One of the Programme Committee members will contact you to discuss your presentation. Important: Registrants for SPE Workshops are accepted on the basis of information submitted by each registrant.

Technical Disciplines (Check One)

Drilling and Completions

Health, Safety, Security, Environment and Social Responsibility

Management and Information

Production and Operations

Projects, Facilities and Construction

Reservoir Description and Dynamics Primary Responsibility (Check One)

Drilling

Economics

Geology

Geophysics

Management

Operation

Production

Reservoir

Surveillance

Other: ________________________________ List background and experience. (Use additional paper if required).

List your expectation for the Workshop, so that the committee can tailor a portion of the Workshop to answering attendees’ concerns. (Use additional paper if required).

REGISTRATION FORM

Registration Fees: Early Bird Registration Registration after

(Inclusive of 6% GST) on/before 22 January 2016 22 January 2016

Workshop Only (Fee includes all workshop sessions, workbook, certificate, 1 welcome reception, 1 group dinner, daily luncheons and coffee breaks). Registration does not include hotel accommodation.

 SPE Member USD 1,850.00 USD 1,950.00

 Nonmember USD 2,050.00 USD 2,150.00

Training Course Only (Fee includes 1-day training course, training workbook, certificate, daily luncheons and coffee breaks).

 SPE Member USD 600.00 USD 700.00

 Nonmember USD 800.00 USD 900.00

Workshop and Training Course (Fee includes all workshop sessions, 1-day training course, workbooks, certificates, 1 welcome reception, 1 group dinner, daily luncheons and coffee breaks).

 SPE Member USD 2,150.00 USD 2,250.00

 Nonmember USD 2,510.00 USD 2,610.00

25 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia

OILFIELD DATA MINING TRAINING COURSE

References

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