Explorer Foundation Update

An historic book is being reopened, and the next chapter in AAPG’s ongoing efforts to recognize, offer and promote geoscience excellence around the world is about to be written. Six diverse and internationally acclaimed geoscientists have been announced for the 2021-22 AAPG-AAPG Foundation Distinguished Lecture season – speaking on a spectacular range of subjects that vary from understanding integrated hydrocarbon systems to utilizing machine learning to recognizing the importance of choices in today’s energy transition.'

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American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

“Geologists and geophysicists work well together.” That’s Stephen A. Sonnenberg on why AAPG and the Society of Exploration Geophysicists will be coming together for the International Meeting for Applied Geoscience and Energy at the Colorado Convention Center in Denver and online, Sept. 26 through Oct. 1. This year’s inaugural hybrid event will include nearly 200 technical presentations, 14 workshops, 10 special sessions, five field trips, numerous networking opportunities and a joint exhibition showcasing the latest geoscience products and technologies will be on hand.

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American Association of Petroleum Geologists (AAPG)
Explorer Article

The International Meeting for Applied Geoscience and Energy, or IMAGE ’21, the integrated annual convention of AAPG and the Society of Exploration Geophysicists in conjunction with the Society for Sedimentary Geology, is all set for its inaugural event to be held online and in-person in Denver, Colo., Sept. 26 to Oct. 1. This gathering of the industry’s top thinkers, leaders and innovators boasts an impressive schedule of special sessions, workshops, field trips and other offerings to expand geoscience and professional skills.

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American Association of Petroleum Geologists (AAPG)
Explorer Regions and Sections

AAPG Pacific Section thrilled attendees with a stunning interactive Google Earth-based virtual field trip. Imagine being able to experience the stunning and intricate layered geology of the Monterey Formation through a Google Earth high-resolution, interactive program. Richard Behl, geology professor at California State University at Long Beach, likes to take geologists into the field, walking through the cool surf and sunny climate. At the Pacific Section virtual conference in late June, Behl offered up what he described as a “Monterey Formation Bucket List” of beach outcrop stops traversing more than 500 miles along the California coast from Crystal Cove and up to Bowling Ball Beach near Point Arena. That was only the start of the multiday technical program that was both innovative and technically enriching.

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American Association of Petroleum Geologists (AAPG)
Explorer Geophysical Corner

Overall, machine learning has introduced us to a whole different world that has taken geoscientists by surprise. However, the real question is how much can we trust the machine? How accurate can it be? And the most intriguing question of all – can machine learning replace the interpreter? We will analyze three machine learning processes to assess the pros and cons of utilization of convolutional neural networks for fault prediction versus interpretations made by the user in a highly complex polygonal fault section of a 3-D seismic reflection dataset.

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American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

In a famous exchange from the movie “The Graduate,” Mr. McGuire says to the young Benjamin Braddock, “I want to say one word to you. Just one word: Plastics.” If Ben Braddock happened to be a geology student today, Mr. McGuire would no doubt say two words: “Data science.”

American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

In a world where everything seems to be connected – information, technology, viruses – it only makes sense that geological data should be the same. The reality, however, is different. Geological data collected by individuals, companies and academic institutions across the world over hundreds of years is scattered across the globe and stored in different formats. “At the moment geoscience is really held back in many areas because we haven’t managed to set data free. It’s still in isolated databases, or even worse, in analogue form,” said Michael Stephenson, who is part of a group of scientists spanning three dozen countries who are working to consolidate worldwide data into a searchable platform, Deep-time Digital Earth, described by some as a “geological Google.”

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American Association of Petroleum Geologists (AAPG)
Explorer President’s Column

It is sometimes said that every good idea and every innovation needs a good story. After 2020 we are now re-writing our individual and collective stories. Post COVID-19 reality has allowed AAPG members to reach beyond their normal geographical areas of influence. It is said that “necessity is the mother of all invention.” If that’s the case, then as a corollary I say that “failure is the father of most innovation.”

American Association of Petroleum Geologists (AAPG)
Explorer Geophysical Corner

The past few years have seen increasing interest in the application of machine learning techniques in the industry, specifically in seismic interpretation. Over a clastic Tertiary clinoform interval in the public F3-Netherland dataset, we benchmarked advanced neural network algorithms against standard probabilistic lithology classifications from seismic data, to understand their benefits and limitations, and to check which approach works best under which circumstances.

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American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

Researchers generally say they are scrambling to keep up with the changing needs of the oil industry combined with the emerging, broader concerns of society. Amazingly, technology research for oil and gas continues to flourish even now, despite some recent problematic headwinds. And even though computing-related technology gets most of the attention these days, today’s energy research extends far beyond Big Data and its applications.

American Association of Petroleum Geologists (AAPG)
Short Course
Virtual Short Course
Saturday, 25 September Sunday, 26 September 2021, 10:00 p.m.–2:00 a.m.

Learn the high-level principles of five important topics in machine learning: neural networks; convolutional neural networks; support vector machines; principal component analysis; clustering methods. This short course is for physical scientists who have heard about Machine Learning (ML) and might know some details, but lack enough knowledge to assess ML applications in their specialty.

American Association of Petroleum Geologists (AAPG)
Short Course
Denver, Colorado
Thursday, 30 September 2021, 8:00 a.m.–3:00 p.m.

Introduction to Machine Learning (ML) – providing definitions, fundamental concepts of inference and prediction and the opportunity and limitations of ML

American Association of Petroleum Geologists (AAPG)
Webinar
Virtual Webinar
Wednesday, 28 October 2020, 12:00 p.m.–1:00 p.m.

There are many studies that talk about the economies of scale associated to cloud storage that make it so cheap. Yet oil and gas companies managing petabytes of seismic data are not jumping on the cloud storage bandwagon. In this talk, Suri Bhat, Vice President of Sales and Marketing at Bluware, will explore why moving petabytes of seismic data to the cloud is difficult. He will share some of the true costs of managing large data sets in the cloud and why it doesn’t add significant business value. In the same way that lifting and shifting legacy tools and services to the cloud yields little value, moving seismic data to the cloud also yields little value. It isn’t until applications, workflows and even the data storage formats are re-engineered that real business value and even cost saving can be found. He will explore how this is possible today with open file formats. Webinar presented via Zoom on 28 October 2020 at 12:00 London time (UTC-0)

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American Association of Petroleum Geologists (AAPG)
Webinar
London, England
Wednesday, 1 July 2020, 12:00 p.m.–1:00 p.m.

This presentation and demonstration will focus on a machine learning workflow in the upstream Oil and Gas domain to predict formation tops by applying artificial intelligence and machine learning techniques to learn the well logs signatures. This deep learning model provides high quality predictions to aid the geologists in picking lithology markers consistently and in an accelerated fashion thus boosting their operational efficiency. The self-learning model, which is a unique differentiator of dataVediK and encompasses the detection of outliers and data quality issues and their subsequent validation and suggested corrections to improve the quality of data in an automated fashion during the model training process. The demo will then showcase a real-time drilling solution built using this ML model, whereby the formation tops are predicted, and the structural model is updated automatically as the GR log is acquired.

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American Association of Petroleum Geologists (AAPG)
Webinar
Virtual Webinar
Wednesday, 24 June 2020, 7:00 p.m.–8:30 p.m.

Join us for the 'New Directions in Automation' webminar. Where the opportunities are now, and how to pivot and take advantage of them. Webinar will be presented via Zoom 7:00pm to 8:30pm CDT, 24 June 2020.

American Association of Petroleum Geologists (AAPG)
Webinar
Virtual Webinar
Monday, 9 November 2020, 12:00 p.m.–1:00 p.m.

Belmont develops Sandy. An AI accelerated platform dedicated to identifying risks and opportunities by fusing subjective human interpretations within an objective digital representation of the world. Sandy can make sense of a large corpus of information, automatically organising the knowledge it contains and making it ready for your daily utilisation to build a solid cognitive foundation of your projects. Discover how in this talk.

American Association of Petroleum Geologists (AAPG)

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