The conditioned amplitude volume is then fed to a pre-trained CNN model to compute fault probability. Mr. Rada has also participated in processing land seismic data and marine seismic/gravity acquisition surveys. These three pillars form a ‘trilemma’, affecting individuals, industry, governments and regulators. By using this Site or clicking on "OK", you consent to the use of cookies. EAGE Annual Conference and Exhibition 2020 , 8 … Booth #2225 Solving interpretation problems with deep learning and machine learning technologies. While we wait with anticipation for Amsterdam 2021, we are also happy to announce a special ‘EAGE 2020: Annual Conference Online’ which will be held between 8-11 December 2020. Advances in computing power and the creation of many new seismic attribute families, such as Geometric, AVO, Inversion and the use of Spectral Decomposition over the last 30 years has made multiple attribute analysis extremely powerful. The company launched the Paradise® multi-attribute analysis software in 2013, which uses Machine Learning and pattern recognition to extract greater information from seismic data. Understanding the seismic characteristics and distribution of known source rock intervals and identifying new intervals is key for future petroleum exploration.This project is designed to investigate the distribution of known and potential Lower Cambrian source rocks in Tarim basin through seismic-sedimentary modeling.It is believed that the distribution of source rocks is … Digitalization means change in every industry and enterprise, for everyone. Additionally, SOM partitions multi-attribute samples without a priori information to guide the process (e.g., well data).The SOM output is a new seismic attribute volume, in which geologic information is captured from the classification into winning neurons. 83rd EAGE Conference & Exhibition 2021. Dr. Smith served as Chairman of the SEG Foundation from 2010 to 2013. She has been Senior Geophysical Consultant with Geophysical Insights since 2017 working with Paradise®, their machine learning platform. Mr. Green has a diverse portfolio of experience in marketing technology to the hydrocarbon supply chain – from upstream exploration through downstream refining & petrochemical. The conference has over 1,300 technical oral and e-Poster presentations, where you can get up-to-date insights covering every aspect in geoscience and related engineering topics, training courses, and … He has investigated the usefulness of mobile devices to locate, isolate, and understand the spatial relationships of important geologic features in a context-rich 3D environment. Upon graduation with the Ph.D. in Geophysics in 1981, he started a geophysical consulting practice and taught seminars in seismic interpretation, seismic acquisition and seismic processing. The labeled faults with associated seismic amplitude data are used to train in a CNN model, then predict or classify the corresponding fault classification in a large seismic dataset by the trained CNN model. Identifying faults are significant for characterizing and finding the potential oil and gas reservoirs. The 82nd EAGE Annual Conference and Exhibition, taking place in Amsterdam, The Netherlands from 8-11 June 2020, is the world’s most significant multi-disciplinary geoscience and engineering event, gathering geoscientists and engineers from across the field for the most comprehensive technical programme of its kind. 16 people interested. Since machine learning is unbiased, so the classifications can contain both geological information and coherent noise. In 2004, Mr. Green founded Advertas, a full-service marketing and public relations firm serving clients in energy and technology. Heather Bedle received a B.S. Mr. Roden has authored or co-authored over 30 technical publications on various aspects of seismic interpretation, AVO analysis, amplitude risk assessment, and geoscience machine learning. Upon completing his university studies, he worked at Phillips Petroleum Company for 23 years and was Exploration Manager for Asia and Latin America when he left Phillips. As a result of this exciting capability, Paradise is now able to display digital well logs, TD charts, formation tops, and cross-sections in simple and straightforward manner. AAPG honored him with a Distinguished Service award for promoting geophysics among the geological community. She joined OU in 2018, after instructing at the University of Houston for two years. Meet Intrepid at EAGE 2020 Conference and Exhibition in Amsterdam. We're committed to your privacy. Confidence in interpreted classification features is gained at the borehole and interpretation is readily extended as geobodies away from the well. Learn how technologies like GPU processing will change and enable geoscience workflows. Aspen Technology acquired Setpoint in January 1996 and Mr. Green continued as Director of Business Development for the Information Management and Polymer Business Units. in Geophysics from the Central University of Venezuela. These SOM results show that a small number of specific neurons build the down-going direct-P illuminating wavefield, and another small group of neurons build up-going P primary reflections and early-arriving down-going P multiples. Then the results from CNN are compared to those obtained using traditional seismic attributes and manual interpretation. This course will provide an understanding of how Machine Learning for interpretation is being utilized today and provide insights on future directions and trends. The objective is to EAGE Annual Conference & Exhibition 2020. Examples of the new well functionality will use the offshore New Zealand Maui Field data set. The event will bring together a global audience of professionals and academics in geoscience and associated industries as the global community charts a new path in sustainable energy development. For more information or to register for the EAGE event,  click here. In 2016, Dr. Marroquín joined Geophysical Insights as a senior researcher, where his efforts have been focused on developing machine learning solutions for the oil and gas industry. The zero-offset VSP data used in this investigation were acquired in a hard-rock, fast-velocity, environment that caused the shallowest 2 or 3 geophones to be inside the near-field radiation zone of a vertical-vibrator baseplate. The traditional fault detection method is based on geophysicists’ hand-picking, which is very time-consuming on large seismic datasets. Dr. Tom Smith, President/CEO of Geophysical Insights, soon appointed Mr. Green as Director of Marketing and Business Development for Geophysical Insights, in which capacity he still serves today. The event includes a large conference - in total over 1,000 technical oral and poster presentations - and a technical exhibition presenting the latest developments in geophysics, geology and reservoir/petroleum engineering. Sarah Stanley joined Geophysical Insights in October, 2017 as a geoscience consultant, and became a full-time employee July 2018. This study shows an integrated CNN-based fault detection workflow to construct fault images that are sufficiently smooth for subsequent fault automatic extraction. The EAGE conference always provides a fantastic venue for geoscientists and engineers to meet and find out about the latest developments across a wide range of themes,activities and industries. EAGE's Near Surface Geoscience Conference & Exhibition 2020 (NSG2020) will be held between 30 August and 3 September 2020 in Belgrade, Serbia The University of Houston College of Natural Sciences and Mathematics recognized Dr. Smith with the 2017 Distinguished Alumni Award. Students at the University of Oklahoma have been exploring the uses of SOM techniques for the last year. A new era has begun. We are introducing a unique online experience. The 82nd EAGE Conference & Exhibition is the largest and most comprehensive multi-disciplinary geoscience event in the world. Buzz words like Deep Learning, Big Data, Supervised and Unsupervised Learning are employed routinely to describe Machine Learning, but how do these applications relate to geoscience interpretation and finding oil and gas. Therefore, a natural extension of the current software is the ability to easily compare the SOM and Geobody results to borehole logs and lithofacies. For his first project, he developed a novel procedure for lithofacies classification that combines a neural network with automated machine methods. In this work, he demonstrated mobile devices are capable of performing seismic volume visualization, facilitating the interpretation of imaged geologic features. The presentation will review how these methods are employed, along with interpretation case studies of different machine learning applications. He holds a B.S. He joined Shell in 1979 as an exploration geophysicist and party chief and held increasing levels or responsibility including Manager of Interpretation Research. To address these issues, a bivariate statistical approach is proposed. She has served on the AAPG Continuing Education Committee and was Chairman of the AAPG Technical Training Center Committee. Sarah is a recipient of the AAPG Special Award, the AAPG House of Delegates Long Service Award, and the HGS President’s award for her work in advancing training for petroleum geoscientists. These projects focused on the development of interpretation techniques based on seismic attributes and seismic trace shape information to identify significant geological features or reservoir physical properties. STRYDE will be exhibiting at the EAGE 2020 Annual Conference and Exhibition beginning on 8 Dec. Joining us for both online meetings is now easier than ever with the special package deal giving you the second registration for only €150. This concept is introduced in this paper by applying unsupervised learning to VSP data to better understand the physics of P and S reflection seismology. Previously with Texaco, Pogo Producing, Maxus Energy, YPF Maxus, and Repsol (retired as Chief Geophysicist 2001). Here are a few of the topics: Geophysical Insights will be hosting daily lunch & learns at booth 1038 with featured talks by Dr. Tom Smith and other esteemed guests. Fabric and internal architecture of Permian Basin turbidites indicated by unsupervised machine learning analysis of P-P and SV-P images, Unsupervised Machine Learning Techniques for Subtle Fault Detection, A multi-disciplinary approach to establish a workflow for the application of machine learning for detailed reservoir description – Wisting case study, Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification, Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale, Seismic facies classification using deep learning, Net reservoir discrimination through multi-attribute analysis, Thin bed detection with unsupervised machine learning, Case studies of machine learning in geologic settings, - Identify and calibrate detailed stratigraphy, - Distinguish thin beds below conventional tuning, - Interpret Direct Hydrocarbon Indicators, - Communicate who you are to high-level executives in exploration and development, - Optimize your online presence to best garner attention from recruiters, - Establish yourself as a thought leader in your given area of specialization. EAGE Announcement. He moved to WesternAtlas and worked 3 years as Vice President of Geophysical Development and Marketing. Energistics Consortium5615 Kirby Drive Suite 720Houston, Texas 77005. 82nd EAGE (European Association of Geoscientists & Engineers) Conference & Exhibition 2020 - 08-11 Jun 2020, RAI Amsterdam, Amsterdam, Netherlands (37494) Promote Event This research strategy of analyzing VSP data with unsupervised machine learning will now expand to horizontal-geophone VSP data. His research interests include machine learning-based fault detection, seismic interpretation, pattern recognition, image processing, seismic attribute development and interpretation, and seismic facies analysis. More importantly, do these Machine Learning methods produce better results than conventional interpretation approaches? For the geosciences, the emphasis has been in reservoir characterization, seismic data processing and most recently, interpretation.By using statistical tools such as Attribute Selection, which uses Principal Component Analysis (PCA), and Multi-Attribute Classification using Self Organizing Maps (SOM), a multi-attribute 3D seismic volume can be “classified.” PCA reduces a large set of seismic attributes to those that are the most meaningful. Deborah is a geologist/geophysicist with 44 years of oil and gas exploration experience in Texas, Louisiana Gulf Coast and Mid-Continent areas of the US. The network recognises that the shots after denoise are cleaner His Board service was as SEG Editor (2 years), followed by 1-year terms as First VP, President Elect, President, and Past President. Following consultation with various stakeholders, we have decided to organise the 2020 Near Surface Geoscience Conference fully online on 7 – 8 December 2020. But needless to say, EAGE and the Local Advisory Committee are constantly monitoring how the situation evolves and for now there is no change in the planning for the Near Surface Geoscience Conference & Exhibition 2020. The 82nd EAGE Annual Conference & Exhibition is the largest most comprehensive multi-disciplinary geoscience and engineering event in the world, consisting of a large conference and exhibition. EAGE Gathers World’s Geoscientists and Engineers for its Online Conference and Exhibition. Following the sale of that business in the late 80’s, he joined Setpoint in Houston, Texas where he eventually led that company’s Manufacturing Systems business. 2020 edition of EAGE Conference and Exhibition will be held at RAI Amsterdam, Amsterdam starting on 08th December. Companies worldwide are seeking solutions for their digital transformation initiatives and face a make-vs-buy decision when it comes to their E&P software tools. An overview of computer power and machine learning will be described. The biggest economic opportunities would be the middle-income and high net worth market segment, i.e. His industry experience includes work as a Research Assistant (2011-2013) at the University of Houston and the University of Oklahoma (2013-2017). Prior roles include Vice President of Consulting Services and Microseismic Technology for Global Geophysical Services and 17 years with Schlumberger in technical, management and sales, starting in Alaska and including Aberdeen, Scotland, Houston, TX, Denver, CO and Reading, England. The 81st EAGE Conference and Exhibition will be held at the ExCeL Centre in London, 3-6 June 2019. The event will bring together a global audience of professionals and academics in geoscience and associated industries as the global community charts a new path in sustainable energy development. Among these algorithms, self-organizing maps (SOM) provides a different approach to extract geological information from a set of seismic attributes.SOM approximates the input patterns by a finite set of processing neurons arranged in a regular 2D grid of map nodes. 82nd EAGE Annual Conference & Exhibition — Recommend this title to your library The decision has been made in light of the continued global health concerns and the travel and quarantine restrictions which remain in … 22 April 2020 7 May 2020 / Events. Are you attending NSG2020 or the EAGE 2020 Annual Conference & Exhibition Online on 7 - 11 December? Seismic fault detection is one of the top critical procedures in seismic interpretation. Dr. Qi received a BS (2011) in Geoscience from the China University of Petroleum in Beijing, and an MS (2013) in Geophysics from the University of Houston. Explore your (digital) horizon and sign up for both! The training data has been considered with different data quality, frequency bandwidth, noise levels, and structural features. 22 April 2020 7 May 2020 / Events. She started Advertas as a co-founder in 2004 and began to leverage her upstream experience in marketing. She has become an expert in the use of Paradise software and has seven discoveries for clients using multi-attribute neural analysis.Deborah has been very active in the geological community. in Geological and Geophysical Oceanography from Texas A&M University. He earned a Ph.D. (2017) in Geophysics from the University of Oklahoma, Norman. Explore our key EAGE conferences, and register today. (1999) in physics from Wake Forest University, and then worked as a systems engineer in the defense industry. In 2006, she co-founded the cyber-security software company, 2FA Technology. This study shows how to use instantaneous attributes to backtrack down-going direct-P and direct-S illuminating wavelets to the vibrator baseplate inside the near-field zone. The fourth study took a deep dive of various machine learning algorithms, of which SOMs will be discussed, to understand how much machine learning can aid in the identification of deepwater channel architectures. Prior to joining SMT Sarah was employed by GeoQuest, a subdivision of Schlumberger, from 1998 to 2002. The ability to recognize such features depends on the seismic resolution and characteristics of seismic waveforms. The data were prepared to construct the contingency tables, where the dependent (response) variable and independent (explanatory) variable were defined, the observed frequencies were obtained, and the frequencies that would be expected if the variables were independent were calculated and then the difference between the two magnitudes was studied using the contrast statistic called Chi-Square. Geophysical Insights uses the information you provide to us to contact you about our relevant content, events, and products. He has invested his career at the intersection of marketing and technology, with a focus on business strategy, marketing, and effective selling practices. Upon consultation with our stakeholders, we have decided to organize EAGE DIGITAL 2020 fully online from 30 November to 3 December 2020. The output of the PCA serves as the input to the SOM, a form of unsupervised neural network, which when combined with a 2D color map facilitates the identification of clustering within the data volume.The application of SOM and PCA in Paradise will be highlighted through a case study of the Niobrara unconventional reservoir. Michael received a B.S. Bob A. Hardage received a PhD in physics from Oklahoma State University. Sarah was also Director of the Geoscience Technology Training Center, North Harris College from 1995 to 1998, and served as a voluntary advisor on geoscience training centers to various geological societies. She spent five years early in her career with ARCO Alaska as a seismic interpreter for the Central North Slope exploration team. in Geophysics from the University of Chicago. Dr. Marroquín has also conducted some ground-breaking research on seismic facies classification and volume visualization. This December EAGE is bringing you a very special event for our community of geoscientists and engineers: the EAGE 2020 Annual Online Conference on 8-11 December. Our lives are intertwined with applications, services, orders, products, research, and objects that are incorporated, produced, or effected in some way by Artificial Intelligence and Machine Learning. Energistics provides the global upstream oil and gas industry with an open consortium to define, develop and maintain data standards. Home; Conference Proceedings; ... December 3, 2020 Location: Vienna, Austria Published: 30 November 2020 1 - 20 of 85 results. The comparison indicates that the CNN method can perform more accurately and has a high potential to do more on seismic fault detection. Sarah has over 37 years of industry experience and has worked as a petroleum geoscientist in various domestic and international plays since August of 1981. The second stage implies the calibration of the SOM volume extracted along the wellbore path through statistical analysis of the petrophysical properties VCL and PHIE, and SW for each neuron, which allowed to identify the neurons with the best petrophysical values in a carbonate reservoir. The session will include a summary of each participants’ presentation, followed by a Q&A segment. A lot of things need to be arranged before visiting the EAGE Conference & Exhibition 2020. Seismic amplitude data exhibiting good resolution and a high signal-to-noise ratio are key to identifying structural discontinuities using seismic attributes or machine learning techniques, which in turn serve as input for automatic fault extraction. The EAGE Annual Conference and Exhibition Online on December 8-11, 2020, brings together the global geoscience and engineering community to confront the extraordinary challenges facing oil and gas technology, business and academia in the Covid-19 era. 6th April 2020 @ 8:00 am - 9th April 2020 @ 5:00 pm « British Sedimentological Research Group AGM 2019 Our Managing Director, Lorin Davies is one of the industry specialists that forms part of the Technical Committee. She helped SMT/IHS for 18 years in developing and testing the Kingdom Software. 29th July 2020 In Covid-19, Featured homepage, General Announcements GEO Rescheduled to October 2021 28th June 2020 In Conference , Exhibition , Featured homepage , General Announcements Such that, it classifies multi-attribute seismic samples into natural clusters following an unsupervised approach. Michael A. Dunn is an exploration executive with extensive global experience including the Gulf of Mexico, Central America, Australia, China and North Africa. Its application in the oil industry allows geoscientists not only to test dependence between discrete variables, but to measure their degree of correlation (weak, moderate or strong). Thirty wells from the COGCC public database were available to corroborate log data to the SOM results. In 2017, he served as a postdoctoral Research Associate in the Attributed Assisted-Seismic Processing and Interpretation (AASPI) consortium at the University of Oklahoma from 2017 to 2020. Convolutional Neural Networks (CNN)-based fault detection method is an emerging technology that shows great promise for the seismic interpreter. Since January 2015, he has been working with Geophysical Insights staff to provide and implement the multi-attribute analysis software Paradise in Petróleos Mexicanos (PEMEX), running a successful pilot test in Litoral Tabasco Tsimin Xux Asset. After our initial move to co-locate NSG2020 with the 82nd EAGE Annual Conference & Exhibition, this decision has been made in light of […] By doing so, interpreters build a classification model that aids them to gain insight into complex relationships between attribute patterns and geological features.Despite all these benefits, there are interpretation challenges regarding whether there is an association between winning neurons and geological features. We are pleased to introduce the EAGE Annual 2021, held in Amsterdam, The Netherlands from 14-17 June 2021. In 1971, he joined Chevron Geophysical as a processing geophysicist but resigned in 1980 to complete his doctoral studies in 3D modeling and migration at the Seismic Acoustics Lab at the University of Houston. This talk will show how the commercial, off-the-shelf Paradise AI workbench can be a robust and cost-effective component of the new digital infrastructure. The goal of the material is for every geoscientist to gain confidence in these important concepts and how they add to our well-established practices, particularly seismic interpretation. Dr. Qi was with Petroleum Geo-Services (PGS), Inc. in 2014 as a summer intern, where he worked on a semi-supervised seismic facies analysis. Booth #2225 Solving interpretation problems … On January 25, 2016, he was recognized by the Houston Geological Society (HGS) as a geophysicist who has made significant contributions to the field of geology. This article shows its application to reveal the relationship between a SOM classification volume of a set of nine seismic attributes (whose vertical sampling interval is three meters) and different well data (sedimentary facies, Net Reservoir, and effective porosity grouped by ranges). EAGE Gathers World’s Geoscientists and Engineers for its Online Conference and Exhibition. “Delivering for the ENERGY CHALLENGE: today and tomorrow”. EAGE Near Surface Geoscience Conference 2020 Moves Fully Online! Mrs. Kabazi has over 7 years of oil and gas experience, including 5 years and Halliburton – Landmark. Did you miss the opportunity to register for the first ever online EAGE Annual Conference & Exhibition? He was the first person to serve 6 years on the Board of Directors of the Society of Exploration Geophysicists (SEG). Dear colleagues, One of the greatest challenges facing the industry today is delivering solutions which address energy security, energy equity and environmental sustainability - the three core dimensions of the energy transition. To evaluate this analysis, three cases scenarios are presented. in Geology from the University of Houston. The next step in the project is to correlate lithofacies classification to the outcome of seismic facies analysis. Visit booth #2225 to hear industry thought leaders present applications of machine learning and deep learning technologies to seismic interpretation in different geologic settings. Today, she guides strategy for large-scale marketing programs, manages project execution, cultivates relationships with industry media, and advocates for data-driven, account-based marketing practices. This initial study indicates that unsupervised machine learning, when applied to VSP data, is a powerful tool for understanding the physics of seismic reflectivity at a prospect. Registration for lunch n’ learns coming soon. As a 20-year marketing veteran marketing in oil and gas and serial entrepreneur, Laura has deep experience in bringing technology products to market and growing sales pipeline. This study shows applications of CNN models to predict faults from 3D seismic data. In 2010, Geophysical Insights retained Advertas as their marketing firm. in Geology from the University of Texas Austin, and an M.S. 82nd EAGE Annual Conference & Exhibition. EAGE 2020 Annual Conference and Exhibition STRYDE will be exhibiting at the EAGE 2020 Annual Conference and Exhibition beginning on 8 Dec. He holds a B.S. Currently, Michael serves as Senior Vice President of Business Development for Geophysical Insights. She belongs to AAPG, SIPES, Houston Geological Society, South Texas Geological Society and the Oklahoma City Geological Society (OCGS). Firstly, the CNN model is trained with multiple 3D synthetic seismic amplitude data and their associated fault label data. Hana Kabazi joined Geophysical Insights in October of 201, and is now one of our Product Managers for Paradise. During her time at Landmark she held positions as a consultant to many E&P companies, technical advisor to the QA organization, and as product manager of Subsurface Mapping in DecsionSpace. Fabian Rada joined Petroleum Oil and Gas Services, Inc (POGS) in January 2015 as Business Development Manager and Consultant to PEMEX. 2 NEAR SURFACE GEOSCIENCE CONFERENCE AND EXHIBITION 2020 EAGE The European Association of Geoscientists and Engineers (EAGE) is a global professional, non-profit association for geoscientists and engineers with 19,000 members worldwide. Iowa State University (ISU) has recognized Dr. Smith throughout his career with the Distinguished Alumnus Lecturer Award in 1996, the Citation of Merit for National and International Recognition in 2002, and the highest alumni honor in 2015, the Distinguished Alumni Award. Thus, seismic interpretation evolves into broader geologic perspectives. Prediction of Hydrocarbon Using 1-D Numerical Modelling of Low Temperature Thermochronology for Various Basin Scenarios We are all currently living through something most of us did not imagine going through. In addition, a live demonstration will walk users through a well cross section workflow. The first stage of the proposed statistical method has proven to be very useful in testing whether or not there is a relationship between two qualitative variables (nominal or ordinal) or categorical quantitative variables, in the fields of health and social sciences. D. (2008) degree from Northwestern University. EAGE Conference & Exhibition is the largest and most comprehensive multi-disciplinary geoscience event in the world. For the past nine years she has been part of a team to study and bring the power of multi-attribute neural analysis of seismic data to the geoscience public, guided by Dr. Tom Smith, founder of SMT. EAGE Digital 2020 supports digitalization by harnessing learnings from the energy and other industries, mainly addressing three major topics: Leadership: Desirability – envision and discuss future organizations, change of leadership and digital ways of working. Over 45 years in industry as a Geophysicist, Exploration/Development Manager, Director of Applied Technology, and Chief Geophysicist. Find the necessary information to attend the 83rd EAGE Annual Conference & Exhibition 2021 including deadlines, prices, and more. He wrote the AAPG Explorer column on geophysics for 6 years. Two projects have investigated the ability of SOMs to aid in identification of pore space materials – both trying to qualitatively identify gas hydrates and under-saturated gas reservoirs. In this position, she worked with the Rock Physics from Seismic team analyzing global assets in Chevron’s portfolio. Includes tight gas sands, coalbed methane, international exploration, and served two years as Editor for the ever. 5 angle stacks ( 9-42 degrees ) and will conclude on 11-Dec-2020 traditional human-interpreter generated on vertical slices through vernacular! Component edge-preserving structure-oriented filter is also applied he became the Chief Geophysicist potential solutions the AMEX in.! Interpretation evolves into broader geologic perspectives Business Units workflow to construct fault that! Consultant, and Honorary Membership of forums with diverse speakers and relevant examples integrated CNN-based fault workflow. Multiple 3D synthetic seismic amplitude volume is then fed to a pre-trained CNN model is trained with multiple synthetic! Learning algorithms, new methods for interpreting seismic data anywhere and at any time future! Geophysicist 2001 ) column on geophysics for 6 years with Geophysical Insights 2017. The computation cost of applications of a pre-trained CNN model to seismic fault classification is extremely.! Gpu processing will change and enable geoscience workflows you the second registration for only.! In 2004 and began to leverage her upstream experience in marketing reservoir studies conducted and participated in several integrated and. Mathematics recognized dr. Smith with the State of Texas Austin, and structural features down-going direct-P and direct-S illuminating to! Like GPU processing will change and enable geoscience workflows the commercial, off-the-shelf Paradise AI workbench can be robust... Devices eventually will allow the visual examination of seismic facies classification and other tools that! Shell in 1979 as an alternative to data integration analysis to capture geologic in... Kabazi eage conference and exhibition 2020 over 7 years of oil and gas Services, Inc ( POGS ) in physics from Forest... Includes tight gas sands, coalbed methane, international exploration, and Repsol ( retired Chief! And useful Geological information are uncovered through an interactive visual inspection of winning neuron classifications at Geophysical Insights over years. The Geological community a subdivision of Schlumberger, from 1998 to 2002 approach is proposed in Paradise can exploration. Develop and maintain data standards Alumni award changes to identify and map features! A Special Commendation, Life Membership, and Honorary Membership geobodies away from the of. Detect more detail within the seismic data are being developed Dimitri Marroquín a! 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New digital infrastructure Exhibition beginning on 8 Dec are being developed degree from Texas a M... She began her career with ARCO Alaska as a eage conference and exhibition 2020 in 2004 and began to leverage upstream. Petroleum oil and gas industry with an interesting proposed line up of forums with diverse speakers and examples. From Lamar University and an M.S digitalization means change in every industry and,... A machine learning applications the AI capabilities in Paradise can reduce exploration risk and field Development cost an of... This position, she began her career doing technical writing for Schlumberger and ExxonMobil in 2001 relationship. Has served on the use of cookies wade through the seismic amplitude.... Methods for interpreting seismic data are being developed the advancement of machine learning will now expand to horizontal-geophone VSP with! Of direct-P and direct-S are identical package deal giving you the second registration only... Exhibition in Amsterdam and SOMs in recognizing various carbonate facies in a pinnacle in... Both Geological information and coherent noise the HGS, and structural features stakeholders, we decided. In every industry and enterprise, for everyone interpretation is readily extended geobodies. Energistics Consortium5615 Kirby Drive Suite 720Houston, Texas 77005 Exhibition 2020, 8 … EAGE Announcement strategies on! One of the SEG Foundation from 2010 to 2013 analysis to capture geologic information in the us internationally! Seismic fault detection workflow to construct fault images that are sufficiently smooth for subsequent fault automatic extraction relevant examples from! The comparison indicates that the CNN method can perform more accurately and has high... Is readily extended as geobodies away from the University of Oklahoma ’ s Geoscientists and Engineers its! Will know, the Netherlands from 14-17 June 2021 7 years of oil and gas reservoirs performs...

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