WHY SHOULD YOU ATTEND? WHO SHOULD ATTEND

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1 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 Learn how others manage data Demonstrate cost benefits of implementation Application of data throughout the field life cycle Learn about the tools and workflows available 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 Geoscientists Infrastructure Developers Surveillance Engineers Surface & Subsurface Engineers Production & Optimisation Engineers Data Scientists & 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. Refer to Page 5 for more information on the course.

2 MAXIMISING ASSET VALUE THROUGH DATA SCIENCE AND ANALYTICS February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia TECHNICAL PROGRAMME COMMITTEE Co-Chairpersons Mohamad Othman General Manager PETRONAS Abdul Rahman Abdul Rahim Senior Technical Professional Advisor ExxonMobil E&P Malaysia Inc. Workshop Advisor Lee Kean-Seng Reservoir Engineering Supervisor (GM) ExxonMobil E&P Malaysia Inc. Committee Members 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 SESSION HIGHLIGHTS 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 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 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

3 PRELIMINARY DAILY ACTIVITIES AND TECHNICAL AGENDA SUNDAY, 21 FEBRUARY Final Programme Committee Meeting SPE Workshop Registration Discussion Leaders and Session Chairpersons/Managers Briefing Welcome Reception MONDAY, 22 FEBRUARY Arrival of Delegates Safety Announcement by Hotel Introduction/Opening by Workshop Co-Chairpersons Session 1: Keynote Address Group Photo/Coffee Break 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 Lunch 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 Coffee Break 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 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 Arrival of Delegates 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 Coffee Break 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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5 OILFIELD DATA MINING 25 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia TRAINING COURSE 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. Daily Agenda Registration Opens & Welcome Coffee/Tea Introduction to Data Mining and Petroleum Data-Driven Analytics (Part 1) - Domain Expertise versus Statistics - Petroleum Engineering Data Science Coffee/Tea Break Introduction to Data Mining and Petroleum Data-Driven Analytics (Part 2) - Artificial Neural Networks - Fuzzy Set Theory Lunch Introduction of Data-Driven Workflows Specifically developed for the Oil and Gas Industry (Part 1) - Production Optimization - Data Driven Reservoir Management Coffee/Tea Break Introduction of Data-Driven Workflows Specifically developed for the Oil and Gas Industry (Part 2) - Data Driven Full Field Models - Smart Proxy 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 ( ). 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.

6 MAXIMISING ASSET VALUE THROUGH DATA SCIENCE AND ANALYTICS February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia GENERAL INFORMATION The Majestic Hotel Kuala Lumpur 5, Jalan Sultan Hishamuddin, 50000, Kuala Lumpur, Malaysia Tel: Fax: Website: 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. 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.

7 MAXIMISING ASSET THROUGH DATA SCIENCE AND ANALYTICS WORKSHOP February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia OILFIELD DATA MINING TRAINING COURSE 25 February 2016 The Majestic Hotel, Kuala Lumpur, Malaysia SPE Member: Yes No Membership No. Name: (First / Forename) (Middle) (Last / Family Name) Position: Company: Address: Town/City: Zip/PostalCode: Country: Tel: Fax: 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). REGISTRATION FORM 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 Fees: Early Bird Registration Registration after (Inclusive of 6% GST) on/before 22 January 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, USD 1, Nonmember USD 2, USD 2, Training Course Only (Fee includes 1-day training course, training workbook, certificate, daily luncheons and coffee breaks). SPE Member USD USD Nonmember USD USD 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, USD 2, Nonmember USD 2, USD 2, 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) Security Code (3 digits on back of card / 4 digits on the front of Amex) 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. Cancellation Policy: a) A processing fee of USD will be charged for cancellation received before the registration deadline 22 January 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, Kuala Lumpur, Malaysia. Tel : Fax : spekl@spe.org