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29 Apr

2nd Edition: Geological Process-Based Forward Modeling AAPG Call For Abstracts Expires in 3 days

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Deep Learning/Machine Learning Technical Interest Group (TIG)

Learn! Blog By Susan Nash

Interview with Sidd Gupta, NESH, the Smart Assistant for Oil and Gas

Imagine if Siri or Alexa went to school, got an advanced degree in Petroleum Engineering and Geoscience, then went to work in the oilfield for several years, attended technical conferences, read journals and books; envision the product and the process, and you’d have NESH, the Smart Assistant for oil and gas. In addition, you have a chance to try out NESH and collaborate and explore a customizable artificial intelligence. It’s a tremendous opportunity. Welcome to an interview with Sidd Gupta, founder of NESH.

Added on 05 November, 2018

Learn! Blog By Susan Nash

Interview with Naser Tamimi, NeuDax

Cutting edge AI technologies suc as Depe Learning, Machine Learning, and Reinforcement Learning are transforming the way that geoscientists work. Welcome to an interview with Naser Tamimi, NeuDax. NeuDax participated in AAPG’s U-Pitch at URTeC, which promotes and helps commercialize innovations and new technologies.

Added on 16 October, 2018

Explorer President’s Column By Denise Cox

Energy Transitions and Conference Transitions

“When you think about the future of energy in the year 2025, seven years from now, I see ______?” This was one of the digital interactive questions asked at the Energy Transitions Forum in Amsterdam last month. The answers from a room of energy professionals were telling: diversity, renewables, energy, change, hybrid, oil, gas. The Forum addressed how companies and geoscientists can broaden their roles for energy transitions that can include a lower-carbon future.

Added on 01 October, 2018

Explorer Geophysical Corner By Fnu Suriamin,Gerilyn Soreghan,Kurt Marfurt,Matthew Pranter,Rafael Pires de Lima

Convolutional Neural Networks

Advances in deep learning and artificial intelligence promise to not only drive our cars but also taste our beer. Specifically, recent advances in the architecture of deep-learning convolutional neural networks have brought the field of image classification and computer vision to a new level.

Added on 01 October, 2018

Explorer Emphasis Article By Ken Milam

Supercomputers Push Exploration Boundaries

Saudi Aramco hopes to push the boundaries of exploration by creating and encouraging new technologies. The company said it is pursuing the promise of “the fourth industrial revolution” through Big Data and supercomputing and investigations into nanotechnology applications.

Added on 01 October, 2018

Learn! Blog By Susan Nash

DNA Fingerprints in Oil: Interview with Chris te Stroet, Biodentify

We are now able to detect DNA fingerprints from micro-seepage and to use machine learning to create maps that identify where hydrocarbons are likely to be found. It's an exciting breakthrough.

Added on 27 August, 2018

Learn! Blog By Susan Nash

Interview with Henk Jaap Kloosterman, Shell Learning: The world of work is rapidly changing, how do companies respond?

The world of work is rapidly changing. Digital Technology disrupts business models and changes the way work is done. How do companies change their learning & development approach to respond to this changing landscape?

Added on 20 August, 2018

EMD Blog By Jim Crompton

The Connected Worker

The mantra “people are our most important resource” has gotten a little harder to say with a straight face after the recent layoffs.

Added on 14 August, 2018

Explorer Geophysical Corner By David Lubo-Robles,Kurt Marfurt,Satinder Chopra

Some Machine Learning Applications in Seismic Interpretation

“Big data” and “data analytics” are the buzzwords these days. In the last decade, our industry grappled not only with ever-larger volumes of data, but also with increased data heterogeneity. Recent developments in data analytic capabilities applied to other industries hold significant promise for those of working in the hydrocarbon exploration and development.

Added on 01 August, 2018

Explorer Article By Ken Milam

IBM's AI Adviser Promises 'Transformation' of Oil Exploration

Of all the changes coming in the oil and gas industry, artificial intelligence is likely to be one of the most significant. 'I think we are living in a truly unprecedented time that AI technologies have the potential to transform the exploration and production processes,' said Ulisses T. Mello, director of IBM Research – Brazil. IBM has developed an AI-based adviser to aid and enhance seismic interpretation in partnership with Galp, a Portuguese energy group with a global footprint.

Added on 01 August, 2018

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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