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  • Visualization of Asphaltene Deposition and Removal Using Microfluidic

    Contains 2 Component(s), 0.10 credits offered Recorded On: 06/28/2018

    My lab has generated micromodels, which are combined with high-speed imaging to visualize asphaltene deposition and transport in microfluidic devices with permeability contrasts, fractures, and multiple phases. The surfaces can be altered to mimic the chemistry and wettability found in reservoir systems. I will discuss how these devices can be utilized to advance our understanding of oil flow processes and design better strategies to address flow assurance problems.

    Asphaltene deposition is a common cause of significant flow assurance problems in wellbores and production equipment as well as near-wellbore regions in oil reservoirs. Asphaltenes are surface-active and stabilize water-in-oil emulsions by flocculating and coagulating at interfaces. Commercial dispersants have been developed to mitigate asphaltene deposition, but their role on the interfacial properties of asphaltene films is unclear. My lab has generated micromodels, which are combined with high-speed imaging to visualize asphaltene deposition and transport in microfluidic devices with permeability contrasts, fractures, and multiple phases. The surfaces can be altered to mimic the chemistry and wettability found in reservoir systems. I will discuss how these devices can be utilized to advance our understanding of oil flow processes and design better strategies to address flow assurance problems.

    Dr. S. Lisa Biswal

    Associate Professor, Department of Chemical and Biomolecular Engineering, Rice University

    Dr. Biswal is an Associate Professor in the Department of Chemical and Biomolecular Engineering at Rice University in Houston, TX and leads the Soft Matter Engineering Laboratory. Dr. Biswal’s research focuses on multiphase flow and interfacial phenomena. Research examples include directed assembly of colloidal systems with magnetic fields, nanomaterials for energy, and the understanding and manipulation of microscale fluids for oil processes. She has a B.S in chemical engineering from Caltech (1999) and a Ph.D. in chemical engineering from Stanford University (2004). She is the recipient of an ONR Young Investigator Award (2008), a National Science Foundation CAREER award (2009), the Southwest Texas Section AICHE Best Fundamental Paper Award (2014), and the George R. Brown Award for Superior Teaching (2015). Biswal has authored or coauthored more than 70 peer-reviewed publications and holds 5 US patents/patent disclosures.

    SPE Webinars are FREE to members courtesy of the

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  • Materia Expert Hour -- Improving Reliability and Performance of Subsea Insulation & Downhole Tools with Proxima® Thermoset Resins

    Contains 1 Component(s) Recorded On: 06/12/2018

    Content for this webinar is provided by Materia. By registering, your contact information will be shared with the sponsor.

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    This webinar will focus on improving the reliability and performance of subsea insulation & downhole tools with Proxima® thermoset resins.  Aegion Corporation will discuss how Proxima filled its unmet needs for high performance thermal insulation for miles and miles of flowline. 

    Randall Perkins

    Director of Engineering, Aegion Corporation

    Mr. Perkins has worked at Aegion Corporation for 10 years. He has over 30 years of experience in engineering, and has worked in a number of areas of oil and gas related fields. He recently led the startup of the new Bayou Wasco Insulation business, a joint venture between The Bayou Companies and Wasco Energy. His current responsibilities include providing global support for Aegion subsidiaries on engineering and technical matters, including technology development, R&D project management and client relationships. Mr. Perkins previously worked at Trelleborg Offshore, IQ Products Company, and Brown & Root. He earned a BS in Mechanical Engineering Technology from Texas A&M University.

    J. Chad Gill

    President and Founder, Mustang Solutions

    Mr. Gill is the President and Founder of Mustang Solutions, a consulting, manufacturing and distribution company specializing in the oil and gas sector. He works with companies in the fields of product development, new product introduction, process improvement, operational planning, and business development. With over 30 years’ experience in the oil and gas sector, and half of that time spent at Baker Hughes, he often draws upon his expert knowledge, industry experience, and relentless energy to solving issues. Mr. Gill earned an  MBA in International Business from Our Lady of the Lake University and a BA in Management from Southern Nazarene University.

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    Content for this webinar is provided by Materia. By registering, your contact information will be shared with the sponsor.

    About Materia

    Materia® provides Proxima® advanced polymer materials for the oil and gas industry. Applications include subsea insulation, buoyancy, and downhole tools.

  • Technology Development and Disruptive Innovation at Petroleum Industry

    Contains 2 Component(s), 0.15 credits offered Recorded On: 05/29/2018

    The oil industry is in a period of transition during which companies, professionals, governments and academic institutions await what may be a new cycle in oil prices or a complete change in market dynamics due to policies, technologies and CO2 emission regulations. More often, innovation has come up as a common topic either because of process optimization, cost reduction or for disruptive solutions.

    The oil industry is in a period of transition during which companies, professionals, governments and academic institutions await what may be a new cycle in oil prices or a complete change in market dynamics due to policies, technologies and CO2 emission regulations.  More often, innovation has come up as a common topic either because of process optimization, cost reduction or for disruptive solutions. The industry’s production flow segments (upstream, midstream and downstream) projects and product lifecycles have specific technology demands, which compared to other markets, are conservative and slow to innovate and where success is measured in the number of patents.

    Daniel Delfino

    Founder/CEO, R&D Technologies

    Daniel is Founder and CEO of technology-company, R&D Technologies, which uses technical concepts to settle old challenges such as: solve problems, reduce costs, increase profits, introduce an innovation process and articulate disruptive and sustaining technology at all levels of a company.  He is Co-founder of AEC, American Energy Consortium, a global Joint Venture with a mission to leverage knowledge and best practices in the energy market by consulting, auditing, training and performing projects using a global workforce of specialists.

    Mr. Delfino graduated as a Mechanical Engineer and Electrician Technician.  His career began 16 years ago by solving problems and developing technologies for  the automotive and subsea O&G industries.  Throughout his professional career he has devoted time to studying innovation trends in and outside the Petroleum industry; the dynamics of each industry and how they interact and transform business and society.  Daniel is passionate about the power technology has on changing the everyday human experience and life.

    SPE Webinars are FREE to members courtesy of the

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  • Optimism in Reservoir Production Forecasting – Impact of Geology, Heterogeneity, Geostatistics, Reservoir Modeling, and Uncertainty

    Contains 2 Component(s), 0.15 credits offered Recorded On: 05/10/2018

    Presented by W. Scott Meddaugh

    The oil and gas industry uses static and dynamic reservoir models to assess volumetrics and to help evaluate development options via production forecasts.   The models are routinely generated using sophisticated software.  Elegant geological models are generated without a full understanding the limitations imposed by the data or the underlying stochastic algorithms.  Key issues facing reservoir modelers that have been evaluated include use of reasonable semivariogram model parameters (a measure of heterogeneity), model grid size, and model complexity.  However, reservoir forecasts tend to be optimistic – a statement not provable with data in the public domain.  Yet, conversations at technical meetings, the lack of industry publications highlighting actual forecast accuracy, the development of more detailed reservoir models (presumably to yield better forecasts), all suggest that the industry could improve its reservoir performance forecast accuracy.  For example, dynamic models that use larger grid cells yield optimistic forecasts for some recovery processes as compared to forecasts obtained from models built with smaller grid sizes.  Also, the use of stochastic earth models and well placement optimization workflows will likely yield optimistic forecasts.  Overall, the impact of cell size, model parameters, inadequate use of analog data, and poorly constrained well location optimization may increase forecast optimism by 5-10 recovery factor units or more. Knowing what workflow aspects may contribute to forecast optimism should enable the industry to generate more reliable forecasts and make better use of capital.

    Dr. W. Scott Meddaugh

    RL Bolin Distinguished Professor of Petroleum Geology, Midwestern State University

    Dr. Meddaugh joined the Midwestern State University in 2013 as the RL Bolin Distinguished Professor of Petroleum Geology.  He has 32 years of experience with Chevron including technical project management experience on projects in the United States, Canada, Venezuela, Middle East, West Africa, and Australia.   He is a member of the SPE, AAPG, and EAGE and is an Associate Editor for the SPE Reservoir Evaluation and Evaluation Journal.  He received a PhD in geology from Harvard in 1983.  He has authored or co-authored over 30 peer reviewed and SPE technical papers on forecast optimism, reservoir characterization, and modeling.

    SPE Webinars are FREE to members courtesy of the

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  • Probabilistic Real-Time Trajectory Control and Drilling Uncertainty

    Contains 2 Component(s), 0.15 credits offered

    We are presenting a probabilistic approach to proactively adjust drilling parameters (which can be uncertain) in real time to help ensure the actual drilling path overlaps the target drilling path to the maximum extent.

    We are presenting a probabilistic approach to proactively adjust drilling parameters (which can be uncertain) in real time to help ensure the actual drilling path overlaps the target drilling path to the maximum extent. The planned well path is initially adjusted by a probabilistic formation earth model (EM) for maximum production potential and then adjusted to help improve well path smoothness to allow the passage of tubular strings. Drilling parameters and EM data can be updated in real time during drilling operations. Statistical methods are applied to quantify the uncertainty of the predicted actual well path.

    Considering the uncertainty associated with petrophysical properties and drilling parameters, the overlap probability between actual and target well paths was computed and used as feedback for drilling parameter adjustments. This closed-loop feedback process enables proactive control of the actual well path. The drilling path simulation indicates that the trajectory resulting from using this new control method provides better reservoir access and maintains dogleg severity (DLS) at an acceptable level.

    Dr. Robello Samuel

    Technology Fellow, Halliburton

    Concurrent adjunct faculty position at University of Houston and University of Southern California

    SPE: International Drilling Engineering award, Gulf Coast Section Drilling Engineering award, Distinguished Lecturer, Distinguished member, SPE JPT Editorial Committee

    Education: BS, MS (Mechanical engineering), MS & PhD (Petroleum Engineering)

    Publications: more than 270 technical publications and 13 books

    Dr. Zhengchun (Michael) Liu

    Senior Technologist, Halliburton

    Dr. Liu works for Halliburton as a Senior Technologist in the Drilling, Production, and Economics group based out of Houston, Texas. He has a M.S. degree in Petroleum Engineering from the University of Houston and a Ph.D. degree in Engineering from Louisiana Tech University. His research interests include down-hole drilling automation, drilling simulation and optimization, and wellbore thermal flow simulation of drilling, completion, and production operations. He also holds a B. Engr. Degree in Materials Science from North University of China.

    SPE Webinars are FREE to members courtesy of the

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  • Field Automation for data collection and control in O&G beyond SCADA

    Contains 2 Component(s), 0.15 credits offered Recorded On: 04/26/2018

    This presentation will discuss how the Internet of Things (IoT) is irreversibly changing the way businesses think about field automation and data collection, as well as the current state of leading edge IoT, the advantages and disadvantages of SCADA, and the future of leading edge IoT technologies.

    In this webinar, Ryan Benoit, Ambyint's Chief Technology Officer, will discuss how the Internet of Things (IoT) is irreversibly changing the way businesses think about field automation and data collection, as well as the current state of leading edge IoT, the advantages and disadvantages of SCADA, and the future of leading edge IoT technologies.

    Ryan Benoit

    Chief Technology Officer, Ambyint

    Mr. Benoit has worked in technology for over 15 years and has served in various technical roles where he advanced, mentored, and lead consulting, solution, and product development initiatives across a number of technology companies including Matrikon (acquired by Honeywell), Thoughtworks, NavNet, and Clarocity (formerly Zaio). He holds a BSc in Electrical Engineering with a specialization in Biomedical Engineering from the University of Alberta.

    SPE Webinars are FREE to members courtesy of the

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  • How Can We Thrive In Deepwater Gulf of Mexico With US Shale Threats?

    Contains 2 Component(s), 0.15 credits offered Recorded On: 04/26/2018

    The talk will be focused on ideas and technologies that can be applied to achieve 20-50% improvement in CAPEX or operating efficiency without increasing risk profile. Specific field development ideas and efficiency improvements will be discussed.

    In our new reality of $50 – 60/bbl of oil, innovation and efficiency are critical to survive and thrive. Innovation is perceived to be a trial and error process where failure is necessary to learn. Adoption of new concepts and technologies is relatively slow in Gulf of Mexico because the perceived cost of failure is high.

    The talk will be focused on ideas and technologies that can be applied to achieve 20-50% improvement in CAPEX or operating efficiency without increasing risk profile. Specific field development ideas and efficiency improvements will be discussed. Active participation of operators and suppliers to bring such efficiencies would allow Gulf of Mexico (GoM) to remain relevant, support and compete with US Shale.

    Nikhil Joshi

    Asset Manager, Anadarko

    Mr. Joshi is currently asset manager for the western Gulf of Mexico facilities at Anadarko. He has 19 years of experience working in areas of flow assurance, production engineering, reservoir engineering  and fluid phase behavior. Nikhil has published over 40 papers related to flow assurance, phase behavior and multiphase measurements and presented at multiple conferences. He has a bachelors and masters from University of Houston in Chemical Engineering and a masters in finance from Harvard.

    SPE Webinars are FREE to members courtesy of the

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  • Flow Assurance 20/20

    Contains 2 Component(s), 0.10 credits offered

    What have we learnt practicing flow assurance in the last 20 years that can help navigate the next 20 years? What have we done well; what could we do better? What technologies can we consider field proven that can enable/enhance assets in the next 20? Can a Flow Assurance engineer do more with less in this environment? This talk by a mid career Flow Assurance engineer will attempt to address some of these questions.

    The term Flow Assurance appears to have come into existence in the 1990s when the push was being made by industry into harsher environments such as Deepwater. It was a realization that industry would need to be able to guarantee flow over longer distances, 24/7 with high reliability, in a high stakes environment where intervention to rectify issues & blockages would be costly. Risk avoidance as a result was the default flow assurance strategy. We are about 20 years in with the field of flow assurance. Today, Deepwater and harsher environments are still a part of the portfolio of assets but there is pressure to make those assets thrive in a prolonged lower oil price environment and compete for investment capital. What have we learnt practicing flow assurance in the last 20 years that can help navigate the next 20 years? What have we done well; what could we do better? What technologies can we consider field proven that can enable/enhance assets in the next 20? Can a Flow Assurance engineer do more with less in this environment? This talk by a mid career Flow Assurance engineer will attempt to address some of these questions.

    Siva Subramanian

    Flow Assurance Engineer, Chevron

    Mr. Subramanian has been with Chevron for 18 years. The majority of his time with the company has been spent as a Flow Assurance Engineer within Chevron Energy Technology Company where he has worked on research, technology development, and deployment in support of deepwater major capital projects and operations. Siva has a doctoral degree in Chemical Engineering from the Colorado School of Mines.

    SPE Webinars are FREE to members courtesy of the

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  • Electromagnetics: Technologies for Reservoir Surveillance and Monitoring

    Contains 2 Component(s), 0.15 credits offered Recorded On: 04/24/2018

    This presentation will outline the theory of cross-well EM system, survey design and modelling, data acquisition configuration and workflow. Two field examples will be presented to demonstrate the usefulness of the method for fluid monitoring, reservoir characterization and locate by-passed hydrocarbon.

    The formation electrical resistivity is a basic petrophysical parameter used to evaluate subsurface reservoirs, particularly in petroleum fields. Data are normally collected in open holes immediately after drilling, applying galvanic or inductive physics in wireline deployed tools. The tools themselves are very well engineered devices in continuous development since the late 30’s. When used in combination with gamma ray and neutron porosity logs, resistivity logging data are frequently used to estimate lithology and fluid saturations and thereby evaluate the quality of oil bearing strata.

    As reservoirs become more mature it has become imperative to extend this knowledge deeper into the reservoir to better characterize the rocks and fluids distribution away from the wells, and thereby improve field management. This can be accomplished by applying tools that are sensitive to the reservoir scale. One of these tools is inductive crosswell electromagnetics (EM).

    Cross-well EM, initially developed in the 1990’s, involves applying inductive physics and 2D/3D inversion to interrogate the interwall resistivity distribution. The method has developed into a mature technology in the oil and gas community, especially for EOR and time lapse studies. A cross-well EM system consists of a transmitter in one well that broadcasts a time varying magnetic field in the 3D region surrounding the boreholes, and multiple receivers that detect the magnetic field in another well some distance away. The collected data are used to image the interwall conductivity structures providing insights to fluid distribution and saturation mapping. 

    With the same physics, one can place the transmitters on surface and keep the receivers in a well, then it is a surface to borehole EM measurements. Alternatively, the receivers can be placed on the surface and the transmitter is placed in a well, then we have borehole to surface EM measurements. Both source-receivers configurations can image subsurface EM structures, but with much larger investigation range than the crosswell EM.     

    This presentation will outline the theory of cross-well EM system, survey design and modelling, data acquisition configuration and workflow. Two field examples will be presented to demonstrate the usefulness of the method for fluid monitoring, reservoir characterization and locate by-passed hydrocarbon. The first example is time lapse survey in the Middle East to monitor water flood. The project consists of five surveys in two and half years. The data and interpretations clearly demonstrate the water flood pattern and effectiveness of using cross-well EM for monitoring. The second example is from a cross-well EM survey on two horizontal wells, the first ever in the world. The purpose of the survey is to understand the water breakthrough from a peripheral injector to a producer and map water flood path through a system of fractures. The data interpretation requires 3D modelling/inversion, a very challenge task considering the limited data coverage. The final resistivity model is used to compute saturation map and define by-passed hydrocarbon which resulted in placement of new wells. 

    Dr. Ping Zhang

    Principal Geophysicist, Schlumberger

    Dr. Zhang received his PhD degree in geophysics from Uppsala University in 1989.  He joined Schlumberger in 1999 where he is currently Principal Geophysicist. Ping was an assistant researcher in University of Montreal, Canada from 1990 to 1994 and an area geophysicist for Inco Ltd, a mining company in Canada from 1995 to 1998. His research has focused on the application of electromagnetic (EM) technologies for geophysical exploration and characterization, with emphasis on developing numerical techniques that are used for interpretation of EM data. Ping has worked on crosswell EM data quality control, processing, inversion and interpretation for petroleum applications. He is also actively involved in studies and development for reservoir monitoring and characterization. He is member of SPE and SEG.

    SPE Webinars are FREE to members courtesy of the

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  • PSE Expert Hour -- Produce More From Your Field

    Contains 1 Component(s) Recorded On: 04/17/2018

    Content for this webinar is provided by PSE. By registering, your contact information will be shared with the sponsor.

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    Determining the optimal operational strategy for an oil & gas asset requires addressing several complex questions simultaneously: which wells to operate, which to choke back, which to apply gas lift to, how to manage the production–facilities interaction and how to meet processing constraints. Malcolm Woodman, formerly with BP, will describe how next generation model-based optimization technology is increasingly used to address these challenges and is assisting operators in maximizing production while simultaneously reducing operating costs.

    Malcolm Woodman

    Production Optimisation Specialist, PSE

    Dr. Woodman started consulting for PSE in 2016, after more than 25 years with BP. For the last 10 years at BP, Malcolm was Project Manager, Program Manager and Technical Lead for the use of model-based optimization in BP Upstream. His key responsibility was the development of systems to allow the use of commercial production modeling packages for production optimization on the operating assets, not just by central modeling specialists. Malcolm is the author of many peer-reviewed journal papers and conference presentations, covering topics including three phase distillation, use of thermodynamics packages in industry, and production optimization.

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    Content for this webinar is provided by PSE. By registering, your contact information will be shared with the sponsor.

    About PSE

    Process Systems Enterprise (PSE) is the leading supplier of Advanced Process Modeling software and model-based engineering and innovation services to the process industries. PSE Oil & Gas delivers next-generation model-based solutions to oil & gas operators and engineering companies for all stages of design and operation.