Explorer Division Column EMD

To address some of what appear to be competing issues, the Canadian Society of Petroleum Geologists (CSPG) and the AAPG will host a joint, multidisciplinary technical symposium on oil sands and heavy oil: “Oil Sands and Heavy Oil Symposium: A Local to Global Multidisciplinary Collaboration.”

American Association of Petroleum Geologists (AAPG)
Explorer Article

I would like to suggest that far too much of the technical work purporting to guide exploration for petroleum is trivial, redundant and has little of use to offer toward finding new oil and gas accumulations. All geology is interesting; some geologic work is novel; damn little of the work we see is useful in finding new oil and gas fields!

American Association of Petroleum Geologists (AAPG)
Explorer Emphasis Article

Microseismic technology continues to pay its way as an exploration tool. A buried array installed in the Williston Basin is helping Newfield Exploration Co. of Denver increase efficiency, according to company geologists.

American Association of Petroleum Geologists (AAPG)
American Association of Petroleum Geologists (AAPG)
Explorer Article

Shale formations can confound even the savviest geoscientist when it comes to determining the inner workings of the rock. After expert evaluation, even the most attractive prospecting deal can be a tough sell. And there’s almost always a new piece to each of these puzzles that requires some sophisticated high-tech explaining.

American Association of Petroleum Geologists (AAPG)
American Association of Petroleum Geologists (AAPG)
Search and Discovery Article

In recent years, artificial intelligence techniques, and neural networks in particular, have gained popularity in solving complex nonlinear problems. Permeability, porosity and fluid saturation are three fundamental characteristics of reservoir systems that are typically distributed in a spatially non-uniform and non-linear manner. In this context, porosity and permeability prediction from well log data is well-suited to neural networks and other computer-based techniques. The present study aims to estimate formation porosity and permeability from digital well log data using an artificial neural network (ANN) approach. A representative case study from the Alberta Deep Basin is presented. Five well log responses (Gamma Ray Log (GR), Deep Resistivity (RD), Formation Density (DEN), Neutron Porosity (PHIN) and Density Porosity (PHID)) are used as inputs in the ANN to predict porosity and permeability. Core porosity and permeability are used as target data in the ANN to test the prediction. The accuracy of the ANN approach is tested by regression plots of predicted values of porosity and permeability with core porosity and permeability respectively. Excellent matching of core data and predicted values reflects the accuracy of the technique. ANN is a fast and accurate method for the prediction of reservoir properties and could be applied in reservoir modeling and characterization.

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American Association of Petroleum Geologists (AAPG)
Explorer Article

'Breakthrough elegance': ExxonMobil geologists Jeff Ottmann and Kevin Bohacs shared their highly-coveted knowledge on sweet spots and producibility thresholds at a recent Geosciences Technology Workshop on Unconventional Reservoir Quality.

American Association of Petroleum Geologists (AAPG)
American Association of Petroleum Geologists (AAPG)
American Association of Petroleum Geologists (AAPG)
Short Course
Virtual Short Course
Saturday, 24 July Sunday, 25 July 2021, 8:00 a.m.–5:00 p.m.

This 16 hour course will include a mix of lectures, short exercises and discussion sessions. The content will be prepared to anticipate the likelihood that participants will have different levels of technical knowledge about petroleum geology. In addition to defining the main unconventional reservoir types, the course will distinguish between exploration and development drivers, and expose participants (through short, hands-on exercises) to other types of geoscience and engineering tools (Rock Eval, XRD, decline curves, etc.) of importance for unconventional reservoir characterization.

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American Association of Petroleum Geologists (AAPG)
VG Abstract

This lecture will discuss the differences between carbonates and siliciclastics from their chemical composition through their distributions in time and space. Building on these fundamental differences, we will explore the challenges carbonates pose to petroleum geologists in terms of seismic interpretation, reservoir quality prediction, field development, etc. Peppered with humorous personal stories, still raging academic debates, and the heartfelt frustrations of real industry professionals, the aim is to inspire students and young professionals to rise to the occasion and embrace the reservoir rocks that petroleum geologists love to hate.

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American Association of Petroleum Geologists (AAPG)

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