April 19-20, nd Annual Machine Learning in Oil & Gas Conference. Featured Speakers The Westin Houston, Memorial City Houston, TX

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1 2nd Annual Machine Learning in Oil & Gas Conference April 19-20, 2017 The Westin Houston, Memorial City Houston, TX Featured Speakers Mark Reynolds Senior Solutions Architect Southwestern Energy platinum Sponsor Associate Sponsors Giewee Hammond Lead Data Scientist Aramco Services Gold Sponsors silver Sponsor Innovation Partners Gilbert Chahine Director of Data Science and Analytics National Oilwell Varco lunch Sponsor Endorsing Partner Telephony Partner exhibitiors Media Partners 150+ Senior level oil & gas attendees 25+ Machine Learning speakers 18+ Hours of networking with industry leaders

2 A word from the CEO of Energy Conference Network: With 2016 in the rear view mirror, oil and gas companies now see the glimmer of an upturn with the increase in barrel price. Now more than ever, companies will seek to advance and improve their processes and technologies to remain profitable and secure their continued growth in the current market. Artificial intelligence and machine learning have enabled operators to automate manual processes and achieve multiple new outcomes. With massive amounts of computational power, machines can now analyze large sets of data points and apply relationship modeling in a predictive way and in real time. Big data technology has the potential to leverage machine learning capabilities and enable accurate and real-time decision making, improving overall operating efficiency and reduce unnecessary cost. Strategies to transform your business Symon P. Rubens CEO, Energy Conference Network The conference is the perfect platform to discuss the adoption of machine learning techniques and technology in the oil and gas industry. It brings together industry experts, professionals and solution providers to share their insights and real world applications. At the conference you will learn from: Practical case studies of companies benefiting from the utilization of machine learning techniques and technology Leading technology and solution providers that are transforming the industry and help make businesses become more efficient and competitive Bring your team to get the most of the conference Melissa Zerber Research and Content Director, Energy Conference Network We believe this conference is a must-attend for oil and gas and technology professionals keen to find a competitive advantage in their business. Maximize the value of the conference and bring your team. You already know that technology implementation and data projects often encompass several teams - what better way to bring team members together and refine your machine learning and data strategy? Use our contact details below for special team rates. We look forward to meeting you in April. Symon Rubens Symon Rubens CEO Symon.Rubens@energyconferencenetwork.com Melissa Zerber Melissa Zerber Research and Content Director Melissa.Zerber@energyconferencenetwork.com Upcoming Events Machine Learning & AI in Healthcare May 3-4, 2017 Boston, MA 2nd Annual Big Data, IoT & Machine Learning in Oil & Gas Europe May 23-24, 2017 London, England 3rd IoT in Oil & Gas September 13-14, 2017 Houston, TX 3rd Annual Oil & Gas Supply Chain and Procurement December 5-6, 2017 Houston, TX For more, visit:

3 SPONSORSHIP The 2017 event includes buyers from companies including: Anadarko Apache Aramco Energy Services Baker Hughes BHP Billiton BP Devon Energy Exxon GE Oil & Gas Halliburton Marathon Oil National Oilwell Varco Newfield Exploration Oxy Phillips 66 Pioneer Resources Schlumberger Shell Southwestern Energy Transocean Weatherford Williams Energy 7 benefits you can expect from becoming a sponsor of our conferences 1. You meet with prospects at the operational level and C-suite we ensure you get one-on-one access with frontline professionals and executives at the same time. This way, you re able to interact with the key decision makers that literally control budgets, and sign off on important investments like your products and services. 2. You get dynamic online brand exposure from website logo displays and social media announcements to onsite booth and banner setups, we communicate your brand in a consistent manner in the lead-up to conferences and onsite. 3. You set up meetings with prospects before the conference through our powerful communication platform, Conference Connect, you can check out who s attending a conference, and engage with delegates to organize face-to-face meetings in advance. 4. You get the chance to share your insights several of our sponsorship packages offer you the opportunity to speak and share insightful presentations. This is a fantastic way to deliver true value to prospects. Case studies enable you to inform and educate delegates, but at the same time demonstrate the innovative capabilities of your solutions. 5. You engage in meaningful conversations with other experts interacting with peers on panel discussions enables you to provide a unique perspective on highly topical issues relevant to delegates. Panel discussions are a powerful form of thought leadership and often lead to meaningful conversations and new business relationships. 6. You network with the right people at the right time networking is key to connecting with prospects and triggering long-term business opportunities. In a professional but relaxed setting, there are multiple networking breaks (including the main lunch session) where you can sit down with delegates, understand their pain points, and create engagement that leads to new and continued business. 7. You forge long-term business relationships across multiple industries our conferences are respected forums across multiple industries, which means you re not restricted to engaging with prospects in one industry. You can establish commercial relationships that align with your various product and service offerings. It s a really great place to not only interact with prospective customers, but also partners. Kenneth Smith GM Energy, Hortonworks I was impressed with the event attendees, range of topics, and blend of customer, vendor, and thought leader presentations. Energy Conference Network puts on a first class event. Craig Harclerode Oil and Gas Business Development Executive, OSIsoft To discuss a customized sponsorship package, please contact: Symon.Rubens@energyconferencenetwork.com

4 Speakers Mark Allen Chief Petroleum Engineer, Goji Energy Dr. Mehrzad Mahdavi Vice President of Digital Solutions, Weatherford Michelle Bennett Executive - Digital Advanced Analytics, Avanade Rob Patterson VP - Strategic Marketing, Technology Platform Group, PTC Carl Byers Co-Founder and Chief Strategy Officer, Contextere Arik Pelkey Sr. Director - Product Marketing Pentaho Gilbert Chahine Director - Data Science & Analytics, National Oilwell Varco Boisy Pitre Emotion AI Evangelist, Affectiva Victor Chaves Founder & CEO, RIO Analytics Dr. Satyam Priyadarshy Chief Data Scientist, Halliburton Daniel Davila Research Engineer, Southwest Research Institute Mark Razmandi ESS Analyst - Data Science, Anadarko Pradyumna Dhakal Data Analyst, Pioneer Natural Resources Mark Reynolds Senior Solutions Architect, Southwestern Energy Giewee Hammond Lead Data Scientist - Upstream, Aramco Services Bill Robertson Senior Manager - Enterprise Analytics Baker Hughes Alex Hendren Founder & Lead System Architect Remuv Technologies Francisco Sanchez President Houston Energy Data Science, Inc. Catalina Herrera Senior Solutions Consultant, Tibco Jeremy Sweek Partner, Darcy Partners Abhilash Iyer Research Engineer, SAAPE Designs Brant Swidler Manager - Customer Success, SparkCognition Eric Jones CEO, Enthought Sarah Tamilarisan Vice President, Reat Global Dave Lafferty President Scientific Technical Services Umesh Verma Founder, Cyber Houston, CEO, Blue Lance

5 Agenda Day One April 19, :00 am Registration and real-time big data analytics to get insights into NPT and ILT (will be briefly discussed). 12:30 pm Lunch 8:30 am Chairperson s opening remarks Dave Lafferty President, Scientific Technical Services 9:00 am Overview: What is Machine Learning? The Revolution in the Oil and Gas Industry 9:30 am AI, Machine Learning & Business Value Unlocking the Value Hidden in Oil & Gas IoT Data Machine learning makes use of certain types of artificial intelligence. However, not all artificial intelligence is machine learning. In this presentation you will hear how a combination of sophisticated artificial intelligence & machine learning can help all users quickly unlock the business value found in oil & gas IoT data whether that data is found on the edge, in a data center or in a cloud. Additionally, you will hear the unique challenges associated with turning raw data into actionable, contextualized intelligence for all users so that better business and process decisions can be made in real time. Rob Patterson VP Strategic Marketing, Technology Platform Group PTC 10:00 am What it Takes to Create Value from Machine Learning for E&P Machine learning has been around for a few decades and the E&P industry has used various algorithms for a diverse set of problems. However, not a significant amount of industry problems have been solved effectively. The challenges lies in how we leverage machine learning. E&P industry needs to leverage an integrated and modular approach to address industry problems. They need to bring search automation to build recommendation for actions from insights from machine learning applied to E&P Big Data. They also need to use case related drilling performance, Satyam Priyadarshy Chief Data Scientist, Halliburton Landmark 10:30 am Morning break and networking 11:00 am Emerging Applications of Machine Intelligence in Oil & Gas With recent advancements in the field of embedded computing and artificial intelligence, new applications of machine learning are emerging which enable substantial improvements in the effectiveness of existing COTS sensor technology and open the way for highly autonomous capabilities in deployed systems. This presentation will focus on recent applications of machine learning to pipeline leak detection, remote satellite sensing, and communications. Daniel Davila Research Engineer, Southwest Research Institute 11:30 am Road Map to Constructing a Top-Down Big Data and Machine Learning System E&P organizations are turning more attention to accumulated data to enhance operating efficiencies, safety and recovery. The computing paradigm is shifting, the O&G paradigm is shifting and the rise of the machine learning paradigm requires careful attention to top-down integrated systems engineering. A system approach will be presented to stimulate out-of-the-box thinking to address the machine learning paradigm. Mark Reynolds Senior Solutions Architect, Southwestern Energy 12:00 pm The Hunt for Data Scientists Breaking down your organization into individual contributors vs the unicorn data scientist Understanding the types of data scientists you need Giewee Hammond Lead Data Scientist, Aramco Services 1:30 pm Applications of Machine Learning and Analytics: What is it good for? As the Industrial Internet of Things has become a major topic in the oil and gas industry, much talk has focused on the analytics engine. Less has been said, however, about the fuel and the product of the engine: the data that serves as input, and the application of the output. While applied analytics is certainly very powerful, it is only as good as the data being analyzed. In this talk, Dr. Mehrzad Mahdavi will discuss what kind of data is best suited for machine learning applications and how this data can be acquired. He explains why it is essential to have the right sensors collecting the right data in order to get the right output: actionable information that optimizes asset production. He also emphasizes that the end goal of any machine learning project must be defined at the outset, before the algorithm is built, to ensure success. Dr. Mehrzad Mahdavi Vice President of Digital Solutions, Weatherford 2:00 pm Pathways for Innovation in the Digital Oilfield An expose on our most compelling findings from a series of research studies completed for a group of top E&P companies over the past year. We will explore a wide array of actual use cases, such as water management, completion optimization, asset integrity and artificial lift systems through the lens of digital innovation. Jeremy Sweek Partner Darcy Partners 2:30 pm Bridging the Gap Between Data and Value Data analytics projects provide tremendous value and will grow exponentially as we digitize our operations and acquire more data. By exploring case studies on predictive maintenance for Artificial Lift and product performance for Flow Assurance, we will highlight the potential value

6 Agenda Day One April 19, 2017 that can be realized and the best practices that are vital to the success of data analytics efforts. Bill Robertson Senior Manager - Enterprise Analytics Baker Hughes 3:00 pm Afternoon break 3:30 pm Data-driven Methods for Improving Critical Equipment Uptime Turning Hype into Value. The Data. The People. The Process Machine Learning Case Study Condition-Based Maintenance Gilbert Chahine Director of Data Science and Analytics, National Oilwell Varco 4:00 pm Shallow Learning, Deep Networks; Identifying Opportunity, Context, and Structure to Generalize our Approach to Massive Amounts of Information Creating a structural network that takes a community approach to combining various skillsets and knowledge-bases has the potential to change the way we approach problems. Technically, the use of combinatorics, graph theory and network analysis is extremely powerful when applied as an overlaying guide to both technical analysts and leadership. What we know in mathematics, computer science, geoscience, physics and engineering is most valuable when coupled with business acumen, enterprise strategy and corporate management Mark Razmandi ESS Analyst- Data Science Anadarko Petroleum 4:30 pm Conference Close Agenda Day Two April 20, :00 am Registration 8:30 am Opening remarks Dave Lafferty President, Scientific Technical Services 8:45 am Machine Learning for the Citizen Data Scientist Catalina Herrera Solutions Consultant, Tibco Software 9:15 am There Has to be a Better Way - Leveraging Machine Learning to Optimize Workflows Improve efficiency and eliminate time consuming tasks so operators can focus on innovation and problem solving Automating processes to optimize workflow efficiency Arik Pelkey Sr. Director - Product Marketing Pentaho 9:45 am Rage against the Machine (Learning): A top level view Francisco Sanchez President Houston Energy Data Science, Inc. 10:15 am Morning break and networking 10:45 am How to Boost Machine Learning Success The termination of the IBM Watson project at MD Anderson is a setback for machine learning and artificial intelligence for medicine that promised so much for cancer treatment. However, all machine learning algorithms have flaws. Statistics never promise 100% accuracy. So how do we detect flaws and even proactively plan for them? Different techniques for detecting and preventing problems include: early human interactions with the systems as part of troubleshooting, ensuring that the ML team understands multiple methods as well as why and when to use them, revisiting models to ensure that the factors that were true when the project started are still true, learning how to recognize false positives and negatives before the machine learns bad habits, and having enough subject matter expertise in the ML team to understand how to interconnect the logic we take for granted as cognitive beings. Early adopters of ML started small, but now the industry is impatient to tackle more impactful projects where the stakes are much higher and performance metrics misses can have devastating results. As those in the forefront of ML, we need to ensure that projects have the best chances of success. Michele Bennett Executive - Digital Advanced Analytics, Avanade

7 Agenda Day Two April 20, :15 am Flexible and Hybrid Electronics - Enabling Internet of Things Saape Design s efforts in implementing a flexible hybrid electronic platform which senses physical quantities and sends the data to a cloud service for data aggregation. Saape Designs will demonstrate its current design and capabilities for common physical measurements and possible chemical measurements Further integration of different types of sensors with an end to end solution to make Industrial Internet of Things possible in Upstream sector of oil and gas industry Different machine learning algorithms like neural networks and advanced analytics capabilities to derive meaning from the raw sensor data and provide feedback loop for remedial actions Abhilash Iyer Research Engineer SAAPE Designs Innovation Partners 11:45 am SAAPE 12:00 pm Smart Workforce Guidance for Smart Infrastructure and Smart Industry: Getting the Job Done in the Last Tactical Mile In Oil and Gas and other sectors, the Industrial Internet of Things (IIOT) discussion has been dominated by the technologies and benefits of analytics or smart, self-optimizing machines in industry. Similarly, strategies for smart infrastructure and cities has focused on embedded sensors, green solutions and sustainable living. In both cases, the missing topic is the workforce the effectiveness and safety of the human at the edge where warm hands touch cold steel to maintain and operate equipment. Smart guidance delivered on mobile and wearable devices at the right time, enabled by machine learning and a continuous understanding of worker context, ensures that the workforce maintains and operates systems and equipment to reap the benefits of the smart in infrastructure and across industry. Contextere will share real-world examples of the value associated with smart guidance to workforces across cities and industry. Carl Byers Chief Strategy Officer, Contextere 12:15 pm Arundo Analytics 12:30 pm Machine Learning on Subsea Applications Subsea environmental introduction Machine learning introduction Machine learning (neural networks, genetic algorithms ) applications on subsea environment: Subsea umbilicals, risers & flowlines design Subsea umbilicals, risers & flowlines life extension Drilling Installation Subsea layout What is coming next? Victor Chaves Founder & CEO, RIO Analytics 12:45 pm Presentation by Enthought Eric Jones CEO Enthought 1:05 PM Lunch sponsored by Enthought 2:05 pm Using A.I. to remove the clutter, extract value and gain a holistic view of oil and gas operations using an asset most companies already have: data. Utilizing predictive analytics to get ahead of failures in orders of magnitude greater than with traditional computer programming Optimizing operations by enhancing the decision making of subject matter experts. Understanding who is in control by applying machine learning to cyber security. Brant Swidler Customer Success Manager Sparkcognition 2:35 pm Machine Learning Applications in Production Optimization and Operational Excellence Panel: Moderator: Sarah Tamilarasan, Vice President, Reat Global Pradyumma Dhakal- Data Analyst, Pioneer Resources Chris Robart- Managing Director, Unconventional Capital Mark Allen- Chief Petroleum Engineer, Goji Energy 3:05 pm Accessing the Impact of Emotion AI in the Field Our emotions have an appreciable influence on every aspect of our lives, including our work environment. Although they are central to who we are, emotions are rarely explored from a data analytics point of view, especially in the context of the enterprise. Is it possible to draw a correlation between emotional health and safety in an E&P environment? Can emotional cues in the interviewing process help to identify the best candidates for a safety critical position? This presentation will explore these questions and explore how Emotion AI could be useful in the O&G industry. Boisy Pitre Emotion AI Evangelist, Affectiva 3:35 pm Machine Learning: Disrupting a Legacy Industry What is the future of Machine Learning in the Oil and Gas Industry What do companies need to do today to prepare for the rapidly changing future Alex Hendren Founder & Lead System Architect Remuv Technologies 4:05 pm Conference Close

8 Register Your Ticket Company Name April 19-20, 2017 The Westin Houston, Memorial City Houston, TX Company Name delegate details Address City Postal/Zip Code Country Mr/Mrs/Ms (other) First Name Last Name payment details Job Title Tel. Mobile Fax Please select your method of payment. 1. BY CREDIT CARD Visa Mastercard American Express Cardholder Card number Mr/Mrs/Ms (other) Last Name Job Title First Name Mobile Start date Issue no. (If applicable) Expiry date Tel. Fax Security code Signature Date Card billing address, if different from above delegate fees Mr/Mrs/Ms (other) Last Name Job Title Tel. First Name Mobile Fax Price for E&P, midstream, downstream and drilling companies $495 Full ticket price for solution providers and consultants $1195 TOTAL USD ($) PAYMENT POLICY Payment is due in full at the time of registration and includes lunches, refreshments and detailed conference materials. Your registration will not be confirmed until payment is received and may be subject to cancellation. call +1 (855) Cobia Dr, Ste Katy, TX Tel: , Fax: CANCELLATION, POSTPONEMENT AND SUBSTITUTION POLICY You may substitute delegates at any time by providing reasonable advance notice to the Energy Conference Network. For any cancellations received in writing not less than five (5) days prior to the conference, you will receive a 90% credit to be used at another Energy Conference Network conference which must occur within one year from the date of issuance of such credit. An administration fee of 10% of the contract fee will be retained by the Energy Conference Network for all permitted cancellations. No credit will be issued for any cancellations occurring within five (5) days (inclusive) of the conference. In the event that the Energy Conference Network cancels an event for any reason, you will receive a credit for 100% of the contract fee paid. You may use this credit for another Energy Conference Network event to be mutually agreed with Energy Conference Network, which must occur within one year from the date of cancellation. In the event that Energy Conference Network postpones an event for any reason and the delegate is unable or unwilling to attend in on the rescheduled date, you will receive a credit for 100% of the contract fee paid. You may use this credit for another Energy Conference Network event to be mutually agreed with the Energy Conference Network, which must occur within one year from the date of postponement. Except as specified above, no credits will be issued for cancellations. There are no refunds given under any circumstances. The Energy Conference Network is not responsible for any loss or damage as a result of a substitution, alteration or cancellation/postponement of an event. The Energy Conference Network shall assume no liability whatsoever in the event this conference is cancelled, rescheduled or postponed due to a fortuitous event, Act of God, unforeseen occurrence or any other event that renders performance of this conference impracticable, illegal or impossible. For purposes of this clause, a fortuitous event shall include, but not be limited to: war, fire, labor strike, extreme weather or other emergency. Please note that while speakers and topics were confirmed at the time of publishing, circumstances beyond the control of the organizers may necessitate substitutions, alterations or cancellations of the speakers and/ or topics. As such, the Energy Conference Network reserves the right to alter or modify the advertised speakers and/or topics if necessary without any liability to you whatsoever. Any substitutions or alterations will be updated on our web page as soon as possible. Interested in sponsorship or group discounts? Contact us at: Phone: +1 (855) info@energyconferencenetwork.com