26-28 March 2019
Beijing International Convention Center
Beijing, China

TRAINING COURSES

Getting Started with Deep Learning

By International Petroleum Technology Conference (IPTC)

Monday, 25 March ● 0900-1600 hours

Instructors: Olivier Dubrule and Lukas Mosser, Imperial College London

Deep Learning (DL) is already bringing game-changing applications to the petroleum industry, and this is certainly the beginning of an enduring trend. Many petroleum engineers and geoscientists are interested to know more about DL but are not sure where to start. This one-day course aims to provide this introduction. The first half of the course presents the formalism of Logistic Regression, Neural Networks and Convolutional Neural Networks and some of their applications. Much of the standard terminology used in DL applications is also presented. In the afternoon, the on-line environment associated with DL is discussed, from Python libraries to software repositories, including useful websites and big datasets. The last part of the course is spent discussing the most promising subsurface applications of DL.

Who Should Attend?

This course, aimed at petroleum engineers and geoscientists, requires basic knowledge of Probability, Regression and Linear Algebra.

Agenda/Topics

Module 1:     Supervised vs Unsupervised Learning, Regression, Logistic Regression. Basic theory, terminology and examples.

Module 2:     Feed-Forward Neural Networks and Convolutional Neural Networks. Basic theory, terminology and examples.

Module 3:     Getting Started using open on-line resources: Python environment, DL libraries, software repositories, large datasets, useful websites, etc.

Module 4:     Examples of successful DL industry applications.

Instructors Biography

 

Professor Olivier Dubrule is a Visiting Professor seconded by Total at the Department of Earth Science and Engineering at Imperial College London. He has spent most of his career developing new tools in relation with Geostatistics, Gaussian Processes and more recently Machine Learning. He is currently teaching the Machine Learning module of the new MSc Advanced Computational Science and Engineering at Imperial College. Olivier has been the 2003 SEG/EAGE Distinguished Instructor, and has taught many courses through the four IPTC Professional Societies in the last twenty-five years. He has authored two books, one of which has been translated in Russian and Farsi.

     
 

Lukas Mosser is a PhD Student in Machine Learning. Since he started his PhD in October 2016, Lukas has published important papers on Machine Learning in major peer-reviewed publications such as Transport in Porous Media and Physical Review Letters E. He specializes in the development of methods based on Generative Adversarial Networks (GANs) in relation to subsurface applications. Lukas has obtained numerous awards in the Machine Learning hackathons in which he recently competed.

 

Advanced Geochemical Technologies and Methods to Unravel Complex Petroleum Systems

By American Association of Petroleum Geologists (AAPG)

Monday, 25 March ● 0900-1700 hours

Instructor: J. M. (Mike) Moldowan, CEO/President, Biomarker Technologies, Inc. and Professor, Department of Geological Sciences, Stanford University

Exploration is all about creating prospects that can yield new discoveries.  While older geochemical technologies such as isotopes of oils and oil fractions and biomarkers are extremely useful, they have already been applied to most of the basins in the world and therefore, are unlikely to yield many new exploration ideas.  In this workshop you will be introduced to new organic geochemical techniques that can provide crucial information that was previously unobtainable. These methods can be used to get a totally new picture of the petroleum systems in mature basins and will allow for the creation of more accurate basin models. These will in turn allow for the recognition of new plays and drilling targets.

Examples of applications of these revolutionary technologies to both conventional and unconventional petroleum systems will be presented. The focus will be on three topics:

  1. Diamondoids, which are used for determining the maturity of any oil sample in both conventional and unconventional applications and for correlating co-sourced oil mixtures of any maturity (e.g., from black oil to condensate). Correlation is accomplished by compound specific isotope analysis (CSIA) of the segregated diamondoids and by fingerprinting arrays of the large diamondoid molecules: triamantane, three tetramantanes, four pentamantanes and cyclohexamantane.
  2. CSIA (isotopes) of biomarkers, which together with diamondoid correlation, is useful for source determination and unraveling co-sourced oil mixtures, and
  3. Age-related biomarkers for constraining the geologic age of an oil sample to determine its possible source, the foundation of any basin model. 

    A conceptual model of diamondoid molecules in petroleum

Who Should Attend?

  • Exploration and production geoscientists and engineers who wish to understand what impact the recent advances in molecular geochemistry can have on E&P projects.
  • Basin modelers who wish to apply new technologies that help to reveal the complete petroleum system.
  • Exploration managers who wish to stay abreast of available geochemical methods to reduce exploration risks.

Agenda/Topics

  • Brief introduction: organic matter production, accumulation, preservation, maturation, and how molecular organic geochemistry provides essential information on oil and gas provenance.
  • The ins and outs of age-related and taxon-specific biomarkers
  • Compound specific isotope analysis of biomarkers
  • Introduction to diamondoids - application as maturity indicators
  • Use of diamondoids for source correlation of all thermal hydrocarbon fluids
  • Biomarker acids used to dissect biodegraded oilfields
  • Diamondoid for allocation of production from unconventional wells
  • De-convolving oil mixtures.

Instructor Biography

 

Professor J. M. (Mike) Moldowan obtained a Ph.D. degree in Chemistry in 1972 from The University of Michigan. He became an early member and eventual leader of the Chevron biomarker team from 1974 to 1993, which conducted major pioneering efforts to establish the application of biological marker technology to petroleum exploration. Dr. Moldowan joined the Department of Geological Sciences at Stanford University as Professor (Research) in 1993, where he conducted research and taught courses on molecular geochemistry related to petroleum exploration and production, while advising numerous graduate students on their Ph.D. thesis research. In 2012 he founded the laboratory enterprise, Biomarker Technologies, Inc., which offers unique applications of advanced geochemical technologies to industry.  He has served as Chair of the Division of Geochemistry of the American Chemical Society, twice been awarded “The Best Paper Award” by the Organic Geochemical Division of the Geochemical Society for publications in organic geochemistry, and published more than 100 articles on geochemistry, including two editions of “The Biomarker Guide” in 1993 and 2005. In 2011, Professor Moldowan received the Treib’s Medal, considered the ultimate career award for Organic Geochemistry.

Integrated Production Optimisation for Unconventional Reservoirs

By Society of Petroleum Engineers (SPE)

Monday, 25 March ● 0900-1700 hours

Instructor: Ibrahim Abou-Sayed, President, i-Stimulation Solutions, Inc.

The Integrated Production Optimization in shale (IPO-Shale) course is designed to demonstrate an integrated approach for shale formations through the field life cycle:

  • Appraisal,
  • Delineation,
  • Development,
  • Production,
  • Evaluation, and field optimization

Who Should Attend?

This course is designed for oil and gas professionals interested in knowing more about current shale development practices and how they might be improved for future wells.

Agenda/Topics

1. Integrated Production Optimization (IPO) Shale Overview

  • Hydrocarbon resource impacts
  • Petroleum system implications
  • IPO Shale Elements

2. Development Optimization

  • Key Element for Successful Shale Development
  • Field Development – Phased Approach
  • Exploration / Early Development Phase
  • Pilot Test and Modelling
  • Commercial Development
  • Long Term Production
  • Recommended Testing, Delineation and Development Plan

3. Field Optimization

  • Well Concept
  • Landing Zone
  • Drilling Fluid Selection
  • Pad Optimization
  • Completion Selection
  • Perforation Optimization
  • Frac Fluid Selection
  • Well Interference
  • Cluster Spacing
  • Well Spacing

Instructor Biography

 

Dr. Ibrahim S. Abou-Sayed is the founder and president of i-Stimulation Solutions, Inc. Dr. Abou-Sayed has more than 37 years of industry experience focused on well stimulation and production enhancement for tight reservoirs and shale plays. 

Since early 2008, he has focused his activities in support of developing Haynesville, Bossier, Marcellus, Eagle Ford, and Utica shale plays. His responsibilities included geomeachnical modelling, lateral landing zone selection, setting stimulation strategy and implementation, failure analysis & remedy, developing the extended drawdown management program, and shale refracturing technology

Previously, he worked for Advantek International, Inc. In ExxonMobil, where he worked for more than 22 years, Ibrahim was responsible for Stimulation R&D, technical services and training. He is one of the pioneers of horizontal well stimulation technology.  He also worked for Gulf Oil in the well stimulation and production engineering areas. Ibrahim has worked in more than 15 countries and authored more than 40 papers and has co-authored 5 patents.  Dr. Abou-Sayed has received a number of SPE awards and recognitions including Distinguished Member and Distinguished Service awards.

Fees per Course

Early Bird by 22 January 2019

Member: USD 695

Nonmember: USD 795

After 22 January 2019

Member: USD 795

Nonmember: USD 895

  • Fees include coffee breaks, lunch and course notes.
  • Training courses may be cancelled if undersubscribed.

Email us for more information:
iptc@iptcnet.org

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