Focus Article

D. A. ANGUS ESG SOLUTIONS, CANADA, DOUG.ANGUS@ESGSOLUTIONS.COM DOI Number: https://doi.org/10.66733/IEGL9743 Introduction The energy transition will require more critical minerals, with many of these mineral deposits being located deep underground posing significant safety and technological challenges. Underground mining operations generally encounter adverse stress conditions, the resulting response can be seismic events occurring either very soon, or after sustained perturbation of the in-situ stress over several years. It has been recognized that closely monitoring and characterizing seismic response is non-negotiable for underground safety and therefore plays a key role in the operational success of a mine. With increasing depth, seismic hazard increases as [...]

NEERAJ KUMAR CANACOL ENERGY, CALGARY, NKUMAR@CANACOLENERGY.COM ARIJIT CHATTOPADHYAY CANACOL ENERGY, CALGARY, ARIJITCHATTOPADHYAY25@GMAIL.COM ANDREW WILLIS CANACOL ENERGY, CALGARY, AWILLIS@CANACOLENERGY.COMhttps://doi.org/10.66733/DJCP6730 Introduction The Lower Magdalena Valley Basin (LMVB) of northwestern Colombia represents a mature hydrocarbon-producing province with a prolonged exploration and production history, marked by the first recorded gas discovery in 1943 (Arminio et al., 2011). Subsequent exploration programs have acquired more than 24,000 km of 2D seismic and approximately 7,000 km² of 3D seismic data, along with the drilling of more than 270 exploratory and development wells (Willis et al., 2017). These integrated exploration efforts have resulted in the identification of at least [...]

KATHLEEN DOREY PETREL ROBERTSON CONSULTING LTD, CALGARY, AB, CANADAKDOREY@GLJPC.COM https://doi.org/10.66733/MEGN9486Summary This paper outlines the considerations for predictive modelling of CO2 sequestration in potential subsurface reservoirs. There are a number of considerations and data required to fully understand and enable prediction of the potential plume growth upon injection. These include understanding and modelling of the host rock, modelling the injected fluids, the ability to detect the plume and thresholds as well as anticipated fluid saturations over time. These considerations, as well as workflows and models to achieve future detection, are discussed in the following sections. Introduction Case studies of CO2 sequestration projects, [...]

RENJUN WEN CEO, SUBSURFACEAI INC., CALGARY, AB RENJUN@SUBSURFACEAI.CA   “From feature enhancement to machine interpretation, attributes remain the bridge between seismic signals and geologic meaning.” Abstract Artificial intelligence (AI) is rapidly changing how seismic interpreters map faults, channels, facies, and other geobodies. Modern deep learning can often learn useful representations directly from raw amplitudes, yet in day-to-day projects interpreters still face non-stationary wavelets, variable signal-to-noise, acquisition footprint, stitching of vintages, and geologic complexity that complicate "end-to-end" approaches. Seismic attributes continue to matter because they are fit-for-purpose transformations that enhance specific aspects of the seismic response-discontinuity, texture, frequency content, geometry, and [...]

NASSER KAZEMI1,2 KAZEMI_NOJADEH.NASSER@UQAM.CA FIONA DARBYSHIRE1,3 DARBYSHIRE.FIONA_ANN@UQAM.CA 1 DÉPARTEMENT DES SCIENCES DE LA TERRE ET DE L’ATMOSPHÈRE, UNIVERSITÉ DU QUÉBEC À MONTRÉAL 2 SMART PROCESSING, IMAGING, DRILLING, AND MONITORING (SPID-M) GROUP 3 CENTRE DE RECHERCHE GEOTOP Introduction The geophysics group at Université du Québec à Montréal (UQAM) is small but active, encompassing a wide variety of subjects within a seismology-based focus. At the time of writing, the group consists of two professors, one research MSc student, and three PhD students, with another PhD student expected to start in the Autumn of 2026. Research and teaching activities fall within the programs of [...]

BRIAN WM. SCHULTE PRESIDENT, SCHIEFER RESERVOIR CONSULTING, BSCHULTE488@GMAIL.COM Pursuing my MBA was both exciting and intimidating. I was not the strongest student back in my university days, and I knew this time would be different because I had changed over the years. At the University of Calgary, I had the privilege of learning from remarkable professors — Dr. Spratt, Dr. Simony, Dr. Ghent, and Dr. Lawton — names that still carry weight in Canadian geoscience. Years later, while in an elevator at BP, Dr. Dan Ebrom once asked me who my teachers had been. After I listed a few, he smiled [...]

ANASTASYA TEITEL IKON SCIENCE, ATEITEL@IKONSCIENCE.COM   Abstract The Athabasca Oil Sands in northeastern Alberta, Canada, contain one of the largest bitumen reserves globally, but their extraction presents significant challenges due to geological variability. This study addresses the need for advanced reservoir characterization techniques to enhance the efficiency of extraction methods. A Rock Physics and Machine Learning (RPML) approach was employed to generate depth-dependent facies trends by integrating well log data with rock physics models. The methodology utilized the Expectation-Maximization (EM) algorithm to simultaneously infer rock types and calibrate depth-dependent rock physics and petrophysical models. Key innovations included accounting for geological [...]

Junaid KhanKuwait oil company, Specialist Geophysicist, Jakhan@kockw.com Aishah Al-Ghareeb,Kuwait Oil Company, GEOPHYSICIST, AGhareeb@kocke.com Anandan MudavakkatKUWAIT OIL Company, SENIOR GEOPHYSICIST (RETIRED)   Introduction Risk of oil and gas leakage into the near-surface formations is very significant in old and aging oil fields due to casing integrity issues arising from corrosion, poor cement behind casing, improperly abandoned wells, etc. In a giant oil field such as the Greater Burgan Oil Field of Kuwait (Carman, 1996), spread over about 700 square kilometres with over two thousand drilled wells, the risk becomes even higher. The Wara and Burgan clastic reservoirs of Cretaceous age contribute [...]