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29 Apr

2nd Edition: Geological Process-Based Forward Modeling AAPG Call For Abstracts Expires in 4 days

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Deep Learning/Machine Learning Technical Interest Group (TIG)

Learn! Blog By Susan Nash

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

Halliburton and AAPG are collaborating to bring to 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. Date: Thursday, July 19, 2018 from 7:00 AM to 5:30 PM (CDT) Location: Marathon Energy Conference Center - Houston, TX Register Now

Added on 09 July, 2018

Learn! Blog By Susan Nash

Interview with Patrick Ng, Innovators in Geosciences Series

Integrative analytics which incorporate Big Data, Artificial Intelligence, and Deep Learning, are increasingly important to geoscientists and engineers. Welcome to an interview with Patrick Ng, who heads AAPG’s Analytics Technical Interest Group (TIG).

Added on 16 April, 2018

Explorer Emphasis Article By David Brown

Taking Fundamentals into the Future

This, the first Annual Convention of AAPG’s second century, is officially designated “ACE 101: Bridging Fundamentals and Innovation.” Vanden Berg explained that the May 20-23 meeting will “provide an opportunity to return to the rocks and to remember the importance of fundamental geologic concepts, but also to look to the future, to harness and embrace new technology and innovation.”

Added on 01 April, 2018

Explorer Division Column DEG By Stephen Testa

Oh What a Night!

One cannot overemphasize the importance of understanding the data – how it was generated, where it came from, how it was manipulated and massaged, and whether the conclusions drawn are supported by the data or if is there overreach.

Added on 01 March, 2018

Explorer Article By Susan Nash

Big Data, Deep Learning Workshop Coming in May

“Big Data and Deep Learning in the Oil Industry: Basics and Applications,” a Geosciences Technology Workshop to be held in Houston on May 22 at the CityCentre Norris Conference Center will focus on new analytics involving Big Data, deep learning and machine learning, and how they are transforming all aspects of the oil and gas industry.

Added on 01 May, 2017

Explorer Article By Susan Nash

Big Data, Deep Learning Workshop Coming in May

Added on 01 April, 2017

Learn! Blog By Susan Nash

Breakthrough Big Data and Deep Learning in Today's Oil Industry: Interview with Kamal Hami-Eddine

New analytical techniques that work with a massive volume of data of extremely wide variety are enabling geoscientists and engineers to understand the nature and extent of reservoirs in ways never possible before. Welcome to an interview with Kamal Hami-Eddine, Paradigm, who explains big data and deep learning as they are being used today in the petroleum exploration and production.

Added on 18 January, 2017

Explorer Article By Heather Saucier

New Tool Manages Big Data in Real Time

Called IPSO, which stands for integrated production surveillance and optimization system, the tool has become a solution for an issue presently challenging the industry as a whole: the management of big data.

Added on 01 January, 2016

DL Abstract By Shane Prochnow

Subsurface Machine Learning Approaches at Hydrocarbon Recovery and Resource Forecasting for Unconventional Reservoir Systems

This presentation is a survey of subsurface machine learning concepts that have been formulated for unconventional asset development, described in the literature, and subsequently patented. Operators that utilize similar subsurface machine learning workflows and other data modelling techniques enjoy a competitive advantage at optimizing the development of unconventional plays.

Request a visit from Shane Prochnow!

Added on 14 September, 2023

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