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Many companies are taking a pro-active stance toward new technology and have assembled teams to scout and implement new techniques and technologies in their operations. Please meet Mike Party, part of the Emerging Technology Team at Hess. Mike speaks to us today about the quest for the breakthrough technologies. Mike will be presenting at AAPG's Success with Difficult Unconventionals, Nov 12-13, in Houston.

Recently Added Training

AAPG Event Houston Texas United States 22 November, 2019 Emerging Technology, Machine Learning, Imaging and Analytics 1:00 PM 5:00 PM 24 October, 2019
 
Houston, Texas, United States
22 November 2019

Date: 11/22/2019 to 11/22/2019
Time: 1PM to 5PM
Venue: The Cannon Houston
Location Address: 1334 Brittmoore Rd, Houston, TX 77043
Location City/State: Houston, Texas

This course is for people without a background in machine learning, software engineering, or data science. The purpose of the course is to help people who are immersed in the oil and gas industry to gain a practical understanding of what unstructured data is, what value there is in it, how it can be utilized, and why this is now relevant. Much of unstructured data mining is based on machine learning, so this course also seeks to instill memorable intuitive understanding of machine learning. This course does not require any use of computers.

The course consists of these segments:
  1. The differences between structured and unstructured data will be explored, and emphasis will be placed on why unstructured data is crucial to firms in the oil and gas industry. The drastic inefficiencies created by mismanagement of unstructured data will be given context by the growth in private equity backing, the lower hydrocarbon price environment, the proliferation of data sources, and the aftermath of the big crew change.
  2. Attendees will engage in an interactive simulation of a typical oil and gas workflow involving structured and unstructured data.
  3. Incumbent solutions, including data file structuring projects and off-the-shelf enterprise search tools, will be considered. Each will be evaluated based on its ability to return accurate and relevant information to users in a useful format and at speeds that do not inhibit seamless operations.
  4. Attendees will engage in an interactive simulation of each of the two typical incumbent solutions to handle unstructured data.
  5. The basics of machine learning will be explained in simple and intuitive terms, including a few examples.
  6. Attendees will engage in an interactive application of machine learning to solve a problem. This application will be a simulation not requiring the use of any electronics.
  7. Three case studies will be explored showing results and highlighting value added of a new (to oil and gas) class of solution. The first study involved implementation of a tool to help workers navigate historical reports to extract knowledge to make better decisions in real time. The second study involved implementation of a tool to serve as a surrogate for a retiring subject matter expert so that less experienced employees could still get good answers to questions. The third case study has not been completed, yet, but it involves simply using a tool to automatically fill out missing fields in a database from data scattered across unstructured reports.
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Join a TIG

 
Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
American Association of Petroleum Geologists (AAPG)
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Join a SIG

 
The function of the Visiting Geoscientist Program SIG is to provide college and university students worldwide a balanced picture of geosciences in the petroleum, energy minerals, and environmental industries; provide information about careers in the geosciences; present a positive image of a geoscience professional; and encourage geoscience career options for young scientists of high caliber. These goals will be achieved through direct student contact during college and university visits by active geoscientists. To maintain active status as a VG, each committee member must complete at least one visit per fiscal year. This program is funded through the generosity of the Visiting Geoscientists, their companies, the AAPG Foundation and AAPG.
Show more American Association of Petroleum Geologists (AAPG)
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Join a Committee

 

The IRC is a coordinating committee ultimately designed to provide sustainable growth in International membership at a minimum of 5% annually and maximum target of 20% annually. The IRC should provide a forum for helping generate and establish multiple services for individual regions. This includes: 

  1. Recommend sites to the EC and AAPG staff for workshops, short courses, DL visits, field trips and regional conferences; 
  2. Provide local or regional AAPG affiliated societies and contacts to host above events; 
  3. Share best practices for hosting events; 
  4. Provide contacts for potential AAPG student chapters to AAPG staff; 
  5. Submit nominations to Advisory Council for elected officers, and honors and awards; 
  6. Consider sites for potential local offices which might be capable becoming financially self-sustaining, either in cooperation with other societies or strictly as AAPG. 
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Classified Position Available

Associate Director, Environmental Division, Bureau of Economic Geology

The Bureau of Economic Geology (Bureau) in the Jackson School at The University of Texas at Austin seeks a highly talented individual to lead its Environmental Research Division.

Deadlines

30 Nov

AAPG/EAGE 5th Myanmar Oil & Gas Conference – Call for Abstracts Expires in 19 days

Business and Economics, EngineeringAsia/Pacific Region - ...Myanmar
05 Dec

Unconventional Resources Technology Conference 2020 - Call for Papers Expires in 24 days

Business and Economics, EconomicsUnited States - ...Gulf Coast Section - ......Texas
09 Dec

IBA 2020 Call for Applications Expires in 28 days

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