Take yourself to greater depths right from your desktop with SPE Webinars and Online Education.
Join our industry experts as they explore solutions to real problems and discuss trending topics.

Catalog Advanced Search

Search by Categories
Search in Packages
Search by Format
Search by Date Range
Products are filtered by different dates, depending on the combination of live and on-demand components that they contain, and on whether any live components are over or not.
Start
End
Search by Keyword
Sort By
  • Preparing the Next Generation Workforce for the Digital Transformation of the Oil and Gas Industry – Interview with Angela Dang Atkinson

    Contains 1 Component(s) Recorded On: 10/18/2019

    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.

    Preparing the next generation workforce for the digital transformation of the Oil & Gas Industry is a critical task. The Big Crew Change of professionals hired in the 1970s and 1980s is largely over with and a new generation is taking their place. Beyond the obvious changes in technology, what other skills will the new petroleum engineer need and what new challenges will they face in the digital oilfield 2.0?

    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: Angela Dang Atkinson, Data Scientist, Cognite

    Interviewed by: Jim Crompton, Reflections Data Consulting / CO School of Mines

    Angela Dang Atkinson

    Data Scientist, Cognite

    Angela earned her B.A. in Biochemistry at Colorado College and her M.Sc. in Petroleum Engineering at the Colorado School of Mines.

    Prior to joining Cognite, Angela served in various roles at Encana Corporation, a North American energy producer with core natural gas and oil assets in the Permian, Eagle Ford, STACK/SCOOP, Montney, and Duvernay plays. She has a wide range of oil and gas experience from onshore field operations to reserves evaluation, predictive data analytics, research experience with Schlumberger Doll Research, and technical data management skills honed at Occidental Petroleum (now California Resource Corporation).

    Angela is the recipient of the 2018 SPE Rocky Mountain Region Young Outstanding Member Award for exceptional service and dedication to the oil and gas community in Denver. She has been a champion of STEM education and women in STEM since her early career, mentoring young women through the Denver Public Schools Career Coach program.

    A believer in the power of liberating data for agile and informed decision making through dashboarding and data analytics, Angela has focused her career on creating fundamental pathways for technical, industrial professionals to more easily access critical information. An adventure-seeker with a penchant for traveling, climbing mountains, cooking, and learning languages, her curiosity often leads her down the less-traveled roads both personally and professionally.

    SPE Webinars are FREE to members courtesy of the

    image

    Members : Free!

    Non-members : USD 50.00

  • 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.

    SPE Webinars are FREE to members courtesy of the

    image
  • Leadership in the Digital Age -- Interview with Michelle Pfleuger

    Contains 1 Component(s) Recorded On: 10/17/2019

    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: Michelle Pfleuger, General Manager, Digital Innovation and Acceleration, Chevron

    Interviewed by: Jim Crompton, Reflections Data Consulting / CO School of Mines

    Michelle Pflueger

    General Manager, Digital Innovation and Acceleration, Chevron

    Michelle’s team is responsible for expanding and accelerating digital innovation across the enterprise. Michelle’s career with Chevron has given her the opportunity to work in multiple countries, with leadership responsibilities ranging from roles in field operations (Offshore Installation manager on Agbami FPSO, Nigeria), to production engineering (Lead Production Engineer in Block 2, Angola), to central technology groups (Petroleum Engineering Consultant in Chevron’s Energy Technology Company). By furthering her education through a Master’s degree in Applied Statistics, she expanded her knowledge in advanced data analytics and complimented her experience in Chevron’s efforts around i-field, Upstream Workflow Transformation, and Lean Six Sigma. Michelle has passion around the transformation of business and workflows through the integration of data analytics and digital technologies.

    A native of California, Michelle received her Bachelor of Science degree in Chemical Engineering from University of California Berkeley in 2000 and a Master’s Degree in Applied Statistics from Texas A&M in 2011. Michelle is a lifetime member of the Society of Women Engineers and the Society of Petroleum Engineers.

    SPE PetroCasts are FREE to members courtesy of the

    image

    Members : Free!

    Non-members : USD 50.00

  • 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.


     

    SPE Webinars are FREE to members courtesy of the

    image
  • 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.

    SPE Webinars are FREE to members courtesy of the

    image
  • 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.

    SPE Webinars are FREE to members courtesy of the

    image
  • 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.

    SPE Webinars are FREE to members courtesy of the

    image
  • 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. 

    SPE PetroCasts are FREE to members courtesy of the

    image

    Members : Free!

    Non-members : USD 50.00

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

    Contains 3 Component(s), Includes Credits

    ​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.

    SPE Webinars are FREE to members courtesy of the

    image
  • Using Downhole Fiber Optic Temperature Sensing Technology to Monitor, Control and Improve Well Performance

    Contains 3 Component(s), Includes Credits Recorded On: 09/18/2019

    Presented by Dr. Ding Zhu

    Downhole sensing technology today provide engineers continuous measurements for flow condition diagnosis. The measurements include temperature, pressure, acoustic, and strain, with distributed temperature sensors (DTS) and distributed acoustic sensors (DAS) being more commonly used compared with other measurements. Since the optical fiber technology introduced to the industry, it has advanced dramatically. Many field applications have been proven effective and beneficial. From downhole flow condition characterization, we can diagnose flow problems, monitor, control, and optimize producing and injecting well performance, monitor well stimulation, both matrix acidizing and hydraulic fracturing, and optimize treatment designs. There are rich field application examples to show the potential of the technology.

    One of the keys of applying downhole sensing technology is to develop models and methodologies to interpret the senor measurements. This is challenging, because from data collection and processing, to model development, to invert the measured parameters to flow profiles, it is extremely mathematical and computationally intensive. In this lecture, we will review current status of downhole sensing technology, explain the available models and approaches for interpretation, and present field application examples including production profiling, horizontal well flow control, matrix acidizing optimization and multi-stage hydraulic fracture diagnosis. The lecture is based on publications by the author and other SPE publications. The lecture illustrates the power of DTS as a tool for production problem diagnosis and well performance optimization.

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

    Dr. Ding Zhu

    Professor, Petroleum Engineering Department, Texas A&M University

    Dr. Zhu holds a BS degree in mechanical engineering from the University of Science and Technology, Beijing, China, a MS and PhD degree in Petroleum Engineering, both from the University of Texas at Austin. Her research areas are production engineering, well stimulation, intelligent well modeling and complex well-performance optimization. Dr. Zhu is an author of more than 150 technical papers, a co-author of text book, Petroleum Production Systems (2nd edition), and a co-author of a SPE book, Multilateral Wells. She has been a committee member and chairperson for many conferences and events with Society of Petroleum Engineers, and is currently an associate editor for SPE Production and Operation Journal. She is a Distinguished Member of SPE.

    SPE Webinars are FREE to members courtesy of the

    image