Domain meets Deep Neural Networks: Hybrid Physics-based Hackathon for Geoscientists and Engineers

American Association of Petroleum Geologists, at 101 years of age, and a global network of geoscientists, is the largest petroleum geological association in the world. Its mission is to advance the science of petroleum geology and to be indispensable for all explorationists and practitioners. Founded in 1919, Halliburton is one of the world's largest providers of products and services to the energy industry.  Halliburton has developed solutions that enable clients to better model and produce their reservoirs.Sponsors:Amazon Web Services: For over 12 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 125 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management.To learn more about AWS, visit https://aws.amazon.com.Petrabytes: Petrabytes develops unique, custom solutions to facilitate the development of reservoir simulations, valuations and reservoir assessments, dynamic geomechanics modeling, drone deployment platforms, and other targeted solutions.Exxon Mobil: Exxon Mobil Corporation is committed to being the world's premier petroleum and petrochemical company. To that end, we must continuously achieve superior financial and operating results while simultaneously adhering to high ethical standards.

AAPG and Halliburton

<A TITLE="Halliburton" HREF="http://www.halliburton.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Halliburton </A>and <A TITLE="AAPG" HREF="http://www.aapg.org" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">AAPG</A> are collaborating to bring to the AAPG community a Hybrid Physics-based deep neural network (DNN) Hackathon. 
The objective of this hackathon, designed for domain geoscientists and engineers, is to hack the provided Python® code and develop DNN models for time series predictions of reservoir behavior. 
Please sign up with your company email address. We will authenticate participation using company email addresses. 
<A TITLE="http://zenzebra.net/hackathon/AAPG_HAL_hackathon.pdf" HREF="http://zenzebra.net/hackathon/AAPG_HAL_hackathon.pdf" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Download Brochure</A>
Hybrid Physics/DNN Integration The use of machine learning in oil and gas is on the rise. Deep learning models while showing a lot of promise have limitations when applied to oil and gas problems Specifically these limitations deal with being able to incorporate geoscientists’ understanding of subsurface physics into deep learning models 
Subsurface physics can be incorporated in one of many ways a subset being: Augmentation of training datasets for deep learning models using data generated by physics driven simulators, including physics-based models as a component in an ensemble of data driven deep learning models formally incorporating domain physics within the deep neural network structure 
Scope and Prerequisites Domain meets DNN hackathon is designed for practitioners, data scientists, developers, decision-makers and includes hands-on Python coding experiments. OpenEarth™ Community (OEC) , a cloud-based environment will be provided. For this hackathon, participants will focus on 
<UL>
<LI>Augmenting provisioned training dataset using a relevant physics based model </LI>
<LI>Modifying and applying supplied algorithm to their own model </LI>
</UL>
New to Python Coding? Don't worry! Join us for the pre-event familiarization bootcamp on 16 July as well as leverage our expert team of volunteers at the hackathon. 
REQUIRED BOOTCAMP WEBINAR: 16 July, from 10 am - 12 noon CDT
All participants must participate in the pre-event familiarization boot-camp webinar. The bootcamp will orient participants with Python-coding and OEC environment. You will receive log-in information via e-mail. 
Hackathon Agenda - 19 July
7.00 am – Doors open 7.45 am – Welcome and Introduction, Susan Nash, Director of Innovation, Science, and Technology, AAPG / Patrick Ng, AAPG Deep Learning TIG / Rekha Patel, Halliburton
8.15am – Hackathon Overview – Steve Ward, Chief Advisor 8.30am Hackathon Begins – Srinath Madasu, Technical Advisor 9.30 am Coding for the Scope 1 Starts 12.00 – Lunch
1.00 pm – Coding for Scope 2 Starts 3.30 pm – Presentations/Judging 5:00 pm – Awards & Networking 
Thank you to our sponsors: 
Prizes Sponsor: <A HREF="https://aws.amazon.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Amazon Web Services</A>
<IMG ALT="https://cdn-images-1.medium.com/max/1600/1*AD9ZSLXKAhZ-_WomszsmPg.png" SRC="https://cdn-images-1.medium.com/max/1600/1*AD9ZSLXKAhZ-_WomszsmPg.png" HEIGHT="51" WIDTH="137">
Catering Sponsor:  <A TITLE="PetraBytes" HREF="http://www.petrabytes.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Petrabytes</A>  
 <IMG TITLE="petrabytes" ALT="petrabytes" SRC="https://static.wixstatic.com/media/91a2ce_aad65b0e50c34b69a2ad89ce91e0dfdf.png/v1/fill/w_410,h_158,al_c,lg_1/91a2ce_aad65b0e50c34b69a2ad89ce91e0dfdf.png" HEIGHT="64" WIDTH="167"> 
Patron-Level Sponsor:  <A TITLE="http://corporate.exxonmobil.com/" HREF="http://corporate.exxonmobil.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">ExxonMobil</A> 
<IMG ALT="ExxonMobil" SRC="https://upload.wikimedia.org/wikipedia/commons/thumb/1/18/Exxon_Mobil_Logo.svg/1280px-Exxon_Mobil_Logo.svg.png" HEIGHT="24" WIDTH="132">
 
Patron-Level Sponsor:  <A TITLE="http://www.datavedik.com/" HREF="http://www.datavedik.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">DataVediK</A>
<IMG ALT="http://www.datavedik.com/wp-content/uploads/2014/08/DataVediK-Logo-Small.png" SRC="https://s.evbuc.com/https_proxy?url=http%3A%2F%2Fwww.datavedik.com%2Fwp-content%2Fuploads%2F2014%2F08%2FDataVediK-Logo-Small.png&sig=ADR2i7_vF5DaVPi7xd9ST-9e2RHO--kamQ" HEIGHT="28" WIDTH="159">
Hackathon Hosted by:
<IMG TITLE="" ALT="http://brandirectory.com/images/profile/logo/haliburton.jpg" SRC="https://s.evbuc.com/https_proxy?url=http%3A%2F%2Fbrandirectory.com%2Fimages%2Fprofile%2Flogo%2Fhaliburton.jpg&sig=ADR2i78BN3NwnCEdB0mzInipijlEKOAXqw" HEIGHT="122" WIDTH="281">
<IMG TITLE="AAPG" ALT="AAPG" SRC="https://gtscofaapg.files.wordpress.com/2018/02/aapg-logo-transparent-1200px-blue.png?w=748" HEIGHT="76" WIDTH="275">

Marathon Energy Conference Center

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Domain meets Deep Neural Networks: Hybrid Physics-based Hackathon for Geoscientists and Engineers

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Domain meets Deep Neural Networks: Hybrid Physics-based Hackathon for Geoscientists and Engineers

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