Explorer Geophysical Corner

As discussed in part 1 of this article, when it comes to the attributes used in equation 1 for seismically determining shale capacity, it is difficult to make a manual choice for the cut off values. To alleviate such a problem, application of machine learning techniques could be useful and thus worth exploring.

American Association of Petroleum Geologists (AAPG)
Explorer Geophysical Corner

The goal of reservoir characterization work carried out for a shale play is to enhance hydrocarbon production by identifying the favorable drilling targets. The drilling operators have the perception that in organic-rich shale formations, horizontal wells can be drilled anywhere, in any direction, and hydraulic fracturing at regular intervals along the length of the laterals can then lead to better production. Given that this understanding holds true, all fracturing stages are expected to contribute impartially to the production. However, studies have shown that only 50 percent of the fracturing stages contribute to overall production. This suggests that repetitive drilling of wells and their completions without attention to their placement must be avoided, and smart drilling needs to be followed by operators.

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American Association of Petroleum Geologists (AAPG)
Asia Pacific Blog

AAPG Asia Pacific is proud to announce two new AAPG Asia Pacific Presents talks, featuring Bruce Ainsworth and Gretchen Gillis. AAPG Asia Pacific Presents is a collection of online presentations being offered free of charge. The 60-90 minute session will be conducted through Zoom, and will be followed by a short Q&A period, handled by a moderator. To register for one or both of these talks, click on the link(s) below. Registrations will be accepted on a first-come basis.

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American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

As so much in the oil and gas industry relies on expert interpretation over unstructured data and understanding of elaborate geological concepts, tracking the production and consumption of conceptual knowledge and information is crucial. Systems need to be developed that can capture these interpretative trails in order to meet the needs of exploration. IBM’s Hyperknowledge Trails may just be that system.

American Association of Petroleum Geologists (AAPG)
Events Blog

Part of AAPG’s GeoAnalytics Credentialing Program, this two-day online AAPG Short Course, Excel-Based Random Forest Machine Learning Algorithms: Programming and Application 2.0, is set to take place 28–29 April 2020 for web-based participation only. 

American Association of Petroleum Geologists (AAPG)
Events Blog

Part of AAPG’s GeoAnalytics Credentialing Program, this two-day online AAPG Short Course, Excel-Based Random Forest Machine Learning Algorithms: Programming and Application, is set to take place 14–15 April 2020 for web-based participation only. 

American Association of Petroleum Geologists (AAPG)
Learn! Blog

Taking fiber optics and downhole sensors to the next stage by creating 3D-printed customized Smart Pipes has the potential to not only make operations more efficient, but to easily convert depleted wells into producers of other energy sources, such as geothermal energy. Welcome to an interview with Alex Finch, part of the team of Tri-D Dynamics. He talks to us about their exciting new smart pipes and RFID (radio-frequency ID) technologies. Tri-D Dynamics will be participating in AAPG’s U-Pitch New Technology Showcase.

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American Association of Petroleum Geologists (AAPG)
Learn! Blog

Being able to work remotely is more important than ever, and it is vital to have access to the powerful specialized software that you need in order to accomplish your tasks effectively and in a timely manner. In addition, it is important to be able to collaborate with your coworkers, team members, stakeholders, partners, and clients. Welcome to an interview with Vitaly Meyer describes how Petrocubic allows geoscientists and engineers to work remotely with the software and platforms they need.

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American Association of Petroleum Geologists (AAPG)
Canada Blog

Machine Learning is an increasingly important tool for geoscientists. This one-day workshop demonstrates the implementation of a tailored End-to-End Upstream E & P workflow solution using Machine Learning (ML). It is intended for basic to intermediate skill levels.

American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

Subjectivity in interpretation is a persistent problem in the use of machine learning for oil and gas exploration. This and other topics will be discussed at the 14th Middle East Geosciences Conference and Exhibition in Bahrain this month.

American Association of Petroleum Geologists (AAPG)
Webinar
Virtual Webinar
Monday, 19 October 2020, 1:00 p.m.–2:00 p.m.

Hear Sabine Klarner, Founder and Chjief Scientist at SKGEO, compare the results of Bayesian lithoseismic classification and direct neural network inversion for rock properties. Webinar will be presented via Zoom on Monday 19 October 2020 at 13:00 Abu Dhabi time (GMT+4)

American Association of Petroleum Geologists (AAPG)
Short Course
Virtual Short Course
Tuesday, 10 November Thursday, 12 November 2020, 6:30 p.m.–10:00 p.m.

The course will focus on a Machine Learning workflow in the upstream Oil and Gas domain to generate synthetic Gamma-Ray Logs by applying Artificial Intelligence (AI) Techniques and then learning the various aspects of deploying this workflow in an end-to-end solution that a Geoscientist can use.  

American Association of Petroleum Geologists (AAPG)
Workshop
Virtual Workshop
Wednesday, 17 March Thursday, 18 March 2021, 8:00 a.m.–5:00 p.m.

This workshop will focus on advances made in petroleum systems analysis as a predictor of hydrocarbon presence, new technology and applications, and future directions of this important geological tool.

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
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)

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