2nd Annual Machine Learning in Oil & Gas Conference

April 19-20, 2017The Westin Houston, Memorial City – Houston, TX

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Featured Speakers

Mark ReynoldsSenior Solutions Architect

Southwestern energy

Giewee Hammondlead data ScientistAramco Services

Gilbert Chahinedirector of data Science and Analytics

national oilwell varco

Senior level oil & gas attendees

Machine Learning speakers

Hours of networking with industry leaders

www.energyconferencenetwork.com/machine-learning-oil-gas-2017

25+

18+

150+

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

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

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 RubensSymon rubensCeoSymon.rubens@energyconferencenetwork.com

A word from the CEO ofEnergy Conference Network:

Symon P. RubensCeo, energy Conference network

Melissa Zerberresearch and Content director,energy Conference network

Upcoming Events

Machine Learning & AI in HealthcareMay 3-4, 2017 • boston, MA

2nd Annual Big Data, IoT & Machine Learning in Oil & Gas EuropeMay 23-24, 2017 • london, england

3rd IoT in Oil & GasSeptember 13-14, 2017 • Houston, TX

3rd Annual Oil & Gas Supply Chain and Procurementdecember 5-6, 2017 • Houston, TX

Melissa ZerberMelissa Zerberresearch and Content directorMelissa.Zerber@energyconferencenetwork.com

For more, visit: www.energyconferencenetwork.com/energy-events

“It’s a really great place to not only interact with prospective customers, but also partners.”

KENNETH SMITHGM – 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 HARCLERODEOil and Gas Business Development Executive, OSIsoft

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 •

SPONSORSHIP

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.

To discuss a customized sponsorship package, please contact:

Symon.Rubens@energyconferencenetwork.com

832-709-0098

7 benefits you can expect from becoming a sponsor of our conferences

SPEAKERS

Mark AllenChief petroleum engineer,goji energy

Michelle Bennettexecutive - digital Advanced Analytics, Avanade

Carl ByersCo-Founder and Chief Strategy officer, Contextere

Gilbert Chahine director - data Science & Analytics, national oilwell varco

Victor ChavesFounder & Ceo,rio Analytics

Daniel Davilaresearch engineer, Southwest research institute

Pradyumna Dhakaldata Analyst, pioneer natural resources

Giewee Hammond lead data Scientist - upstream, Aramco Services

Alex Hendren Founder & lead System Architectremuv Technologies

Catalina Herrera Senior Solutions Consultant, Tibco

Abhilash Iyer research engineer, SAApe designs

Eric JonesCeo,enthought

Dave LaffertypresidentScientific Technical Services

Dr. Mehrzad Mahdavivice president of digital Solutions, Weatherford

Rob Pattersonvp - Strategic Marketing, Technology platform group,pTC

Arik PelkeySr. director - product Marketingpentaho

Boisy Pitreemotion Ai evangelist,Affectiva

Dr. Satyam PriyadarshyChief data Scientist, Halliburton

Mark RazmandieSS Analyst - data Science, Anadarko

Mark ReynoldsSenior Solutions Architect, Southwestern energy

Bill Robertson Senior Manager - enterprise Analyticsbaker Hughes

Francisco SanchezpresidentHouston energy data Science, inc.

Jeremy Sweekpartner,darcy partners

Brant SwidlerManager - Customer Success, SparkCognition

Sarah Tamilarisanvice president,reat global

Umesh VermaFounder, Cyber Houston,Ceo, blue lance

Day One April 19, 2017

AGENDA

8:00 AM Registration

8:30 AM Chairperson’s opening remarks

Dave LaffertyPresident, 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 PattersonVP Strategic Marketing, Technology Platform GroupPTC

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,

and real-time big data analytics to get insights into npT and ilT (will be briefly discussed).

Satyam PriyadarshyChief Data Scientist, Halliburton Landmark

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 DavilaResearch Engineer, Southwest Research Institute

10:30 AM Morning break and networking

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 ReynoldsSenior 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 HammondLead Data Scientist, Aramco Services

12:30 PM Lunch

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 MahdaviVice 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 SweekPartnerDarcy 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

Day One April 19, 2017

Day Two April 20, 2017

AGENDA

AGENDA

8:00 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

that can be realized and the best practices that are vital to the success of data analytics efforts.

Bill RobertsonSenior Manager - Enterprise AnalyticsBaker 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 ChahineDirector 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 RazmandiESS Analyst- Data ScienceAnadarko Petroleum

4:30 PM Conference Close

Day Two April 20, 2017

AGENDA

11:15 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 IyerResearch EngineerSAAPE 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 ByersChief 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 ChavesFounder & CEO, RIO Analytics

12:45 PM Presentation by Enthought

Eric JonesCEOEnthought

1:05 PMLunch 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 SwidlerCustomer Success ManagerSparkcognition

2:35 PMMachine 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 PitreEmotion 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 HendrenFounder & Lead System ArchitectRemuv Technologies

4:05 PM Conference Close

April 19-20, 2017 • The Westin Houston, Memorial City – Houston, TXwww.energyconferencenetwork.com/machine-learning-oil-gas-2017

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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.

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INTERESTED IN SPONSORSHIP OR GROUP DISCOUNTS? CONTACT US AT: PHONE: +1 (855) 869-4260 • info@energyconferencenetwork.com

DELEGATE FEES

Price for E&P, midstream, downstream and drilling companies $495

Full ticket price for solution providers and consultants $1195

TOTAL USD ($)