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  • AI/ML Drilling Systems Need Timely Trusted Data to Deliver Trusted Results

    Contains 3 Component(s), Includes Credits Includes a Live Event on 11/06/2019 at 9:30 AM (EST)

    ​Real-time data now represents a growing stream of scores of channels of digital data being fed concurrently to numerous receiving entities in the operator's remote monitoring amenities, at contractor centers and other facilities. Analytics are applied to data channels to signal or predict deviations from expected readings that require attention. For such systems to work effectively and reliably the input data must be trustworthy.

    Real-time data now represents a growing stream of scores of channels of digital data being fed concurrently to numerous receiving entities in the operator's remote monitoring amenities, at contractor centers and other facilities. Analytics are applied to data channels to signal or predict deviations from expected readings that require attention. For such systems to work effectively and reliably the input data must be trustworthy.

    Establishing trust in a digital, i.e. binary, manner requires more rigor than what would be performed by a human observer. The boundary conditions for trust must be codified into rules that are grouped in a policy suitable for each data stream. Such conditions could include e.g. temperature range for a sensor outside of which readings are invalid.

    The standards-based transmittals of WITSML data can be augmented with Data Assurance that codifies the rules that have established each data sample’s “pass” or “fail” status. To avoid cluttering the transmission channels, samples are transmitted with a blank Data Assurance field if the relevant policy was satisfied; the metadata indicating the rule or rules that were failed and the policy they are attached to are sent only with samples that failed. This information can be ingested by automated analytical tools.

    All content contained within this webinar is copyrighted by Jay Hollingsworth and its use and/or reproduction outside the portal requires express permission from Jay Hollingsworth.

    Jay Hollingsworth

    Chief Technology Officer, Energistics

    Jay Hollingsworth is currently Chief Technology Officer for Energistics. In this role, he is responsible for the technical adequacy of the standards stewarded by the organization, including WITSML, PRODML, and RESQML among others.

    Jay has a BS plus post-graduate studies in Chemical Engineering at Tulane University in New Orleans. In addition, he attended graduate school in Computer Science at University of Texas in Dallas. As his career advanced as an Environmental and Process Engineer, he focused on technical computing – first as a consultant and then for 20 years at Mobil Oil. At Mobil he was responsible for the data model of their FINDER global master data store and the suite of engineering applications in global use. After leaving ExxonMobil, he spent time in Landmark’s data modeling group before settling at Schlumberger. He spent 10 years at Schlumberger where he was responsible for the data modeling group and was the Portfolio manager for the Seabed database technology. After Schlumberger, he was an Industry Principal at Oracle, focusing on oil & gas solutions.

    Jay is active in numerous industry organizations, including APSG, ISO, SPE and SEG. He was a Technical Editor of the SPE Microcomputer Journal and is currently on the Board of the SPE Digital Energy Technical Section. He was a long-time member of the Board of Directors of PPDM and served as past president of APSG.

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  • Data Driven Model for Anomaly Detection – Case Studies from Oil and Gas Applications

    Contains 3 Component(s), Includes Credits Includes a Live Event on 10/31/2019 at 1:00 PM (EDT)

    ​In data science, anomaly detection is the identification of deviation of a specific data point or often apparently unrelated set of complex data from normal expected paths. E & P companies are spending millions of dollars, towards building cognitive anomaly detection processes to ensure optimal performance of their respective exploration and production assets.

    In data science, anomaly detection is the identification of deviation of a specific data point or often apparently unrelated set of complex data from normal expected paths. E & P companies are spending millions of dollars, towards building cognitive anomaly detection processes to ensure optimal performance of their respective exploration and production assets. Traditional physics-based modeling, performance measurement, and diagnostic techniques used in E&P industry, are ineffective given volatility of operating practices, hybrid designs, variety, and unevenness in data collected from the field. They require constant modifications and often are sub-optimal to successfully quantify the real-time impact of dynamic operating environments; resulting in significant NPT. In this talk, I will discuss two case studies where we leveraged structured and unstructured data from drilling and production towards building an anomaly detection model.

    All content contained within this webinar is copyrighted by Dr. Geetha Gopakumar Nair and its use and/or reproduction outside the portal requires express permission from Dr. Geetha Gopakumar Nair.

    Dr. Geetha Gopakumar Nair

    Senior Tech Advisor / Data Scientist, Halliburton-Landmark

    Dr. Geetha leads customer co-innovation engagements in Machine Learning/ Data Science space. She is a highly accomplished computational physicist / data scientist with 15+ years of global experience across India, Japan and US. She works closely with individual Product Service Lines within Halliburton (Sperry, Production Enhancement, Artificial Lift, Drill Bit Services) and with external customers from North America, Latin America and MENA service regions in solving business problems.   

    She holds a PhD in Computational Atomic Physics from Indian Institute of Astrophysics, India and a Master of Science degree in Applied Physics from Gandhigram Rural Institute, India.  Dr. Geetha has previously worked as a research faculty for 5 years each at University of Tokyo and Tokyo Metropolitan University before joining Halliburton Landmark.  She has published more than 40 peer reviewed technical papers with 590+ citations (h-index ~ 14). Dr. Geetha also has been reviewer of various international journals like Journal of Chemical Physics (American Institute of Physics), International Journal of Quantum Chemistry (Wiley), Physics Letters (Elsevier) and Molecular Physics (Taylor & Francis). She has also been a speaker at several conferences across the globe and has co-authored book chapters.

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  • Produced Water Management in Shell

    Contains 3 Component(s), Includes Credits Includes a Live Event on 10/30/2019 at 10:00 AM (EDT)

    This presentation will cover the various sources of produced water that can be found in the O&G industry.

    This presentation will cover the various sources of produced water that can be found in the O&G industry. Drivers and opportunities for Produced Water re-use will be presented and an overview of treatment and technologies and disposal options will be discussed. Special attention will be paid to risk-based assessment (RBA) of produced water discharges. Finally, some case studies will be shown.

    Albert Janssen

    Global Environmental Risk Manager for Water, Shell

    Albert joined Shell in 2003 as a Sr. Water Treatment Technologist, mainly serving Shell’s Downstream and Chemical businesses. From 2010-2012 he was Team Lead R&D developing enhanced fluid separation technologies for IOR/EOR. Hereafter, he moved to Bangalore where he established Shell’s Foundational Water Technology Platform. Processes were developed for a.o. treating refinery effluents, enhanced fluid separation, subsurface water fingerprinting.

    In November 2017 Albert moved to The Hague where he became the Global Environmental Risk Manager for Water. He leads the Water Risk Support Team, represents Shell in IPIECA’s Water Working Group and is Board Member of the Petroleum Environmental Research Foundation (PERF). 

    In 2004, he was appointed visiting professor at Wageningen University & Research Centre. His chair is in the department of Environmental Engineering and his expertise in the field of gas and water treatment. He holds an MSc and PhD in Environmental Engineering and is co-author of some 75 peer reviewed papers, 2 book chapters and 11 patents.

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  • The Exceptional Price Performance of Oil - Explanations and Prospects

    Contains 3 Component(s), Includes Credits Includes a Live Event on 10/24/2019 at 9:30 AM (EDT)

    Presented by Dr. Roberto Aguilera

    Oil price developments over the past 45 years have been truly spectacular. In constant money, prices rose by 759% between 1970-72 and 2012-14. This can be compared with a price index for metals and minerals, which increased by a mere 38%. Analysis shows that the exceptionality of oil’s upward price push over the past decades cannot be adequately explained by cost-raising depletion or by OPEC interventions. The better explanation is an inadequate development of production capacity, caused by above-ground hurdles; e.g. onerous fiscal regimes and conflicts over resource rents. Despite past experience, a turning point has been reached where scarcity, uncertain supply and high prices will be replaced by abundance, undisturbed availability and suppressed price levels. Technical advances in drilling and hydraulic fracturing, which led to fast rising oil and natural gas production in the US but is also applicable to unconventional and conventional formations worldwide, will assure ample and diversified future supply. Although short-run price spikes may occur, oil prices are unlikely to prevail above the total production costs of new supplies, which are estimated to settle at $40-60/barrel in the coming two decades. Expanding global gas output and trade will likely depress gas prices as well. It is concluded that oil and gas will continue to play an important role in satisfying energy demand, from Asia to the Americas, with innovation that will allow for economic production in spite of low prices.

    All content contained within this webinar is copyrighted by Roberto Aguilera and its use and/or reproduction outside the portal requires express permission from Roberto Aguilera.

    Dr. Roberto Aguilera

    Research Fellow, Curtin University Oil and Gas Innovation Centre, Australia

    From 2013-2017, Dr. Aguilera was an analyst with the OPEC Secretariat, Vienna, and a co-author of their annual World Oil Outlook. Previous affiliations include IIASA, University of Vienna, Catholic University of Chile and Servipetrol. He has participated in numerous energy studies, including with the World Petroleum Council and US National Petroleum Council. He holds PhD and Master degrees from Colorado School of Mines and a Bachelor’s from Haskayne School of Business, University of Calgary. His publication record comprises The Price of Oil, a book published by Cambridge University Press (2015) in English and Chinese.

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  • Data Science Project from End to End: A Sucker-Rod Pump Example

    Contains 3 Component(s), Includes Credits

    The concepts behind the digital oilfield will be discussed and how they fit together into creating an ecosystem to deliver value. Concrete elements will be presented that illustrate the entire value chain and technology stack necessary to deliver on the promise of the digital oilfield. We illustrate this vision with a concrete example in which live data from an entire oilfield full of sucker-rod pumps is fed into a central facility, analyzed for predictive maintenance, and used to perform proactive maintenance on the pumps.

    The concepts behind the digital oilfield will be discussed and how they fit together into creating an ecosystem to deliver value. Concrete elements will be presented that illustrate the entire value chain and technology stack necessary to deliver on the promise of the digital oilfield. We illustrate this vision with a concrete example in which live data from an entire oilfield full of sucker-rod pumps is fed into a central facility, analyzed for predictive maintenance, and used to perform proactive maintenance on the pumps. Apart from various physical technologies, we will go into some detail on the analytics used to obtain the result. While the digital oilfield is a large complex made up of many moving parts, the central message of this webinar is that there are two essential factors that govern the success of the entire enterprise: Analytics and change management. Both of these will be discussed and the value of the final outcome will be quantified. Finally, we will present some lessons learned that can be applied to any digital oilfield.

    All content contained within this webinar is copyrighted by Dr. Patrick Bangert and its use and/or reproduction outside the portal requires express permission from Dr. Patrick Bangert.

    Dr. Patrick Bangert

    Founder/CEO, Algorithmica Technologies

    Dr. Bangert is the founder and CEO of Algorithmica Technologies, a machine learning company specializing in oil and gas applications. He was educated as a theoretical physicist and took his PhD in applied mathematics from University College London. After a few research positions at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory, Patrick became Assistant Professor of applied mathematics at Jacobs University Bremen in Germany. In 2005, he founded Algorithmica in order to bring the machine learning methods from the ivory tower into real-life practice. He now analyzes empirical data from upstream and downstream plants the world over to provide production optimization and predictive maintenance using machine learning methods. Patrick lives in Cupertino, California.

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  • Collaborative Negotiation Skills

    Contains 3 Component(s), Includes Credits Recorded On: 10/15/2019

    The only place success comes before work is in the dictionary. Successful negotiations, as measured by a win-–win agreement, require that you invest time and effort in managing your negotiation from start to finish. It is a lot of work, but it is worth the effort needed to secure a win-win outcome. This webinar will reference many concepts, processes, and tools that you can use to achieve a win-win outcome.

    Business-to-Business (B2B) Collaborative Negotiations: The only place success comes before work is in the dictionary. Successful negotiations, as measured by a win-–win agreement, require that you invest time and effort in managing your negotiation from start to finish. It is a lot of work, but it is worth the effort needed to secure a win-win outcome. This webinar will reference many concepts, processes, and tools that you can use to achieve a win-win outcome. Negotiations are a normal part of an ongoing business relationship with your suppliers, customers and business partners. The goal of this webinar is to provide you with the skills needed to conduct a successful negotiation while strengthening the relationship between you and the other party. It is not unusual, even after preparing a detailed scope of work, that the other party wishes to change your offer. You should never feel your submitted offer is final, so in a spirit of collaborative negotiation, it is your responsibility to work with the other party to better satisfy their needs and still maintain the value of your offer. This is achieved by taking a flexible approach to finding mutually beneficial trades to modify the offer. This webinar describes the processes you can follow to prepare and skillfully manage the negotiation meeting to arrive at a win–win agreement. Finally, you know that not all negotiators will come to a negotiation with the principled win-win approach.  The other party may use pressuring tactics to obtain a concession from you in an effort to secure a better deal for them. The last part of this wibnar discusses how to effectively handle competitive negotiators in an effort to get them back on track to finding a win–win agreement. 

    All content contained within this webinar is copyrighted by JP Amlin and its use and/or reproduction outside the portal requires express permission from JP Amlin.

    JP Amlin

    Senior Training Consultant

    Mr. Amlin is a Senior Training Consultant with extensive experience in the technology and energy industries working with suppliers and operators. JP delivers fundamental and advanced sales programs to sell side companies and contract management to buy side companies globally.  He is the author of several publications relating to marketing, complex sales and advanced contracting methods.

    Prior to becoming a consultant, JP was Manager of Worldwide Sales Training for Schlumberger for 13 years. In this role he developed the content of Schlumberger’s sales training program, consisting of 15 different programs covering basic, intermediate and advanced training in selling skills, strategic sales plan development and execution, account management, sales management, negotiations, and demand generation. Prior to leading the sales training organization, JP was Vice President of Information Technology for Schlumberger’s Asia and Middle East regions. JP was also President of Schlumberger Indonesia and lived in Indonesia for 14 years. Prior to his roles in APAC, JP led the Schlumberger sales force in Canada and Alaska and brings a wealth of real-world experience in executive level operations management, sales and sales management.


     

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  • Oil and Gas in the Era of Decarbonization

    Contains 3 Component(s), Includes Credits Recorded On: 10/10/2019

    The new abundance of natural gas resources (from both conventional and unconventional sources) and ever-expanding LNG capabilities provide opportunities for fuel switching from coal to natural gas around the world.

    The new abundance of natural gas resources (from both conventional and unconventional sources) and ever-expanding LNG capabilities provide opportunities for fuel switching from coal to natural gas around the world. As demonstrated by the dramatic decrease in CO2 emissions associated with electrical power generation in the United States, fuel switching from coal to natural gas has the potential to yield immediate, and significant, climate benefits in many countries around the world. The benefits to air quality are equally important in many areas where coal-related air pollution poses a significant threat to human health. In addition, the widespread availability of global gas resources (and natural gas liquids) has the potential to provide critically needed thermal fuels for cooking and heating in the developing world and obviating the dramatic health impacts associated with indoor air pollution. Finally, to limit global warming to 2°C (as agreed to in the Paris Accords) massive amounts of CO2 need to be sequestered in the subsurface by mid-century. Extensive use of depleted oil and gas reservoirs for CO2 storage represents the only reasonable strategy for sequestering sufficient volumes of CO2 to significantly reduce GHG emissions and thus positively limit climate change. The oil and gas industry of the future needs to be in the businesses of producing hydrocarbons and sequestering CO2.

    All content contained within this webinar is copyrighted by Dr. Mark D. Zoback and its use and/or reproduction outside the portal requires express permission from Dr. Mark D. Zoback.

    Dr. Mark D. Zoback

    Stanford University

    Dr. Zoback is the Benjamin M. Page Professor of Geophysics at Stanford University, Director of the Stanford Natural Gas Initiative and Co-Director of the Stanford Center for Induced and Triggered Seismicity as well as the Co-Director of the Stanford Center for Carbon Storage.  Dr. Zoback conducts research on in situ stress, fault mechanics, and reservoir geomechanics with an emphasis on shale gas, tight gas and tight oil production. He is the author of a textbook entitled Reservoir Geomechanics published by Cambridge University Press in 2007, now in its 15th printing and is the author/co-author of approximately 400 technical papers. His online course in reservoir geomechanics has been completed by approximately 10,000 students from around the world. His newest book, entitled Unconventional Reservoir Geomechanics (written with former PhD student Arjun Kohli), was published by Cambridge University Press in 2019. Dr. Zoback has received a number of awards and honors including election to the U.S. National Academy of Engineering in 2011.  He served on the National Academy of Engineering committee investigating the Deepwater Horizon accident and the Secretary of Energy’s committee on shale gas development and environmental protection. He currently serves as the Chair-elect of the SPE Technical Committee on CCUS as well as the SPE Task Force on Climate Change.

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  • How Do We Quantify Subsurface Uncertainty and Reduce It?

    Contains 3 Component(s), Includes Credits Recorded On: 10/02/2019

    ​All subsurface models derived from seismic and offset well data have uncertainties inherent in the data even after all possible steps have been taken to process the data to maximize the accuracy. There is, however, one more step that could be taken – to quantify the remaining uncertainty. This is a relatively new technology that has value in exploration and drilling. For drilling applications this means a statistical 3D earth model at the well location instead of a fixed, deterministic one.

    All subsurface models derived from seismic and offset well data have uncertainties inherent in the data even after all possible steps have been taken to process the data to maximize the accuracy. There is, however, one more step that could be taken – to quantify the remaining uncertainty. This is a relatively new technology that has value in exploration and drilling. For drilling applications this means a statistical 3D earth model at the well location instead of a fixed, deterministic one.

    The drilling marker positions (depths) are represented as the best estimate plus an uncertainty distribution, for example 10% - 90% probability window, around it. Similarly pore pressure estimates, derived from velocities, come with confidence bounds. Statistical subsurface enables better well plans and contingencies before the spud and better decision making while drilling.

    All content contained within this webinar is copyrighted by Dr. Cengiz Esmersoy and its use and/or reproduction outside the portal requires express permission from Dr. Cengiz Esmersoy.

    Dr. Cengiz Esmersoy

    Technology Advisor, Schlumberger

    Dr. Esmersoy is a Technology Advisor with Schlumberger in the areas of geophysics, drilling, logging, and integrated solutions. He has a large number of publications and received Hart's E&P Meritorious Award for Engineering Innovation (twice), OTC Spotlight on Technology Award (twice), the SEG Best Paper at The Leading Edge award, and a number of company recognitions including the Performed by Schlumberger Chairman's Award. Cengiz has a Ph.D. from M.I.T. and has been active with SEG, SPE, EAGE, and SPWLA, serving in many committees and organizing events. He has been the GEOPHYSICS Associate Editor and the Chairman of the SEG Research Committee.

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  • Wax Deposition and Hydrate Transport Modeling for Flow Assurance and Its Application in Field Design

    Contains 3 Component(s), Includes Credits Recorded On: 09/26/2019

    This webinar will describe the wax deposition and hydrate transport models chosen and the importance of its integration into a generic, but well proven multiphase transient simulator framework. The use and importance of these integrated flow assurance models will be briefly demonstrated through a field conceptual design application with results.

    To minimize capital costs, operating companies are choosing to produce oil and gas through longer and longer subsea tie-backs. Transportation of multiphase gas, oil and aqueous mixture over long pipelines under high pressure and low subsea temperatures present some unique challenges. One of the most important challenges in flow assurance for such more common long pipeline designs is the possibility of blockage due to hydrate formation and/or wax deposition.

    This webinar will describe the wax deposition and hydrate transport models chosen and the importance of its integration into a generic, but well proven multiphase transient simulator framework. The use and importance of these integrated flow assurance models will be briefly demonstrated through a field conceptual design application with results.

    All content contained within this webinar is copyrighted by Dr. Neeraj Zambare and its use and/or reproduction outside the portal requires express permission from Dr. Neeraj Zambare.

    Dr. Neeraj Zambare

    Product Director of LedaFlow, Kongsberg Digital

    Dr. Zambare is responsible for the business development, R&D and strategy of LedaFlow, a well-known transient multiphase flow simulator, which is one of the rare available options in the market for high fidelity transient flow assurance work. Throughout his career, Dr. Zambare has worked in the area of dynamic simulation with oil and gas industry as the main focus. He has consulted on various deep water, shallow water and onshore assets from early design phase of projects to operations. He has nearly 20 years of experience in building, delivering and consulting on training simulator systems, real-time online systems, flow assurance studies and process engineering studies. Prior to his role with LedaFlow, he has held focused technical roles as Product Manager of K-Spice (dynamic Process Simulation software) and Principal Engineer for Real-time online advisory systems. He has many technical papers to his credit and also gave number of presentations at various conferences and workshops. He has a Ph.D. in Chemical Engineering from Drexel University.

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  • Leadership in the Digital Age -- Interview with Bart Stafford

    Contains 1 Component(s) Recorded On: 09/25/2019

    Tune in to this 30-minute interview to gain insight into this industry expert’s personal views and professional experiences on how leadership challenges are similar yet different, in the world of digital transformation.

    Leadership is always important in any strategic program, but is the leadership challenge different in a digital world any different than for safety or for operational excellence programs? This podcast series will ask leadership of global oil & gas companies for their views and experiences on how leadership challenges are similar or different in the world of digital transformation.

    Tune in to this 30-minute interview to gain insight into this industry expert’s personal views and professional experiences on how leadership challenges are similar yet different, in the world of digital transformation.

    Interview with: Bart Stafford, Senior Vice President, Epsis

    Interviewed by: Helen Gilman, VP at Wipro, Oil and Gas Consulting and Solutions

    Bart Stafford

    Senior Vice President, Epsis

    Mr. Stafford has been focused on implementing Integrated Operations (IO) solutions over the last 15 years of his career. He is currently a senior leader in Epsis, a Norwegian based Integrated Operations solutions company. He previously led Wipro’s global upstream production consulting organization, and prior to that he led SAIC’s global digital oilfield solution group.

    He started his professional career with Mobil Oil and later moved to Burlington Resources where he progressed through technology management roles.  Bart holds a degree in business data processing from Stephen F. Austin State University and a management certificate in energy from Rice University. 

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