Description

Register Here: https://www.ohiogeosoc.org/events/ogs-ooga2025/

Chuck Knox is the founder of Knox Geological LLC, a consulting firm that operates in the Michigan, Illinois, and Appalachian Basins, as well as the Cincinnati Arch. His expertise extends to lidar datasets and remote sensing, and he has recently been using machine learning to combine remote sensing datasets to predict petroleum occurrence. Additionally, Chuck has partnered with Racer Seismic Surveys to assist operators in the design and implementation of 2D and 3D seismic surveys.

This presentation examines the use of remote sensing data and machine learning techniques for predicting petroleum deposits. Utilizing ESRI's GeoAI, it integrates machine learning and deep learning with geospatial data to automate information extraction and classification. Key machine learning methods discussed include Random Forest and XGBoost. The talk covers the application of training rasters, such as satellite imagery and elevation data, to develop predictive models for classification, regression, and clustering tasks. It also addresses the importance of optimizing machine learning algorithms and visualizations to manage increasing data volumes and enhance clarity. The presentation focuses on identifying petroleum presence and absence using advanced geospatial tools in regions including the Austin Chalk area in Medina County, Texas, the Geneva Dolomite in Marion County, Illinois, the Trenton/Black River in Indiana, and the Knox Formation in Morrow County, Ohio.

Attendees of the OGS presentation must register with OGS and check in at the 2025 OOGA Annual Meeting Registration desk to receive meeting credentials. Access to all meeting rooms will be restricted. ONLY those with proper credentials will be admitted.

For additional information contact:

Amy L. Lang, CPG

Partner - Geologist | Forman Energy, Ltd.

 614.561.5522 (cell) | amy.lang@formanenergy.com