An Orchestrated Machine Learning Workflow to Predict Reservoir Facies in Turbidites
Wednesday, 30 August 2023 at 16:55 US CDT (UTC-5)
Exhibit Hall E, Poster Station 8 H | IMAGE 2023
Dr. Jie Qi Sr. Data Scientist for Geophysical Insights
Continuing the company’s demonstrated history of thought leadership, Dr. Jie Qi, Sr. Data Scientist with Geophysical Insights, will present a joint poster describing how classification of facies or lithology within a turbidite can be sped up using machine learning techniques. Scheduled for Wednesday, 30 August at 16:55, this talk is a must-see for anyone interested in reservoir characterization and enhancing the accuracy and efficiency of turbidite facies analysis.
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Presentation Abstract
Objectives/Scope: The use of machine learning techniques in the interpretation of seismic data has gained widespread attention in the petroleum industry. A challenging problem is the detailed classification of facies or lithology within a turbidite and its impact on reservoir characterization. Turbidites are common in offshore sedimentary basins and can be difficult to interpret manually because of steeply dipping reflection events, slump features and channels. The automation of parts of the interpretation process through machine learning is proposed to speed up the interpretation.
Significance/Novelty: Our approach offers an automated and powerful tool for reservoir characterization and can significantly enhance the accuracy and efficiency of turbidite facies analysis. By examining the SOM neuron locations, we can interpret depositional facies from the multi-attribute natural clusters. By comparing the SOM neurons to well logs, the neurons corresponding to reservoirs can be isolated in the 3D volume. By examining the 3D distribution of neurons, the depositional environment can be inferred for individual or neuron groups and the size of individual reservoir bodies accurately estimated.
Abstract Byline: Jie Qi, Carolan Laudon (Geophysical Insights)
About Dr. Jie Qi
Jie Qi is a Sr. Data Scientist at Geophysical Insights. In addition to conducting research, he works closely with product development and geoscience consultants. He received an M.S. (2013) in Geophysics from the University of Houston. He earned a Ph.D. (2017) in Geophysics from the University of Oklahoma, Norman. In 2017, he served as a postdoctoral Research Associate in the Attributed Assisted-Seismic Processing and Interpretation (AASPI) consortium at the University of Oklahoma from 2017 to 2020.
About Dr. Carolan Laudon
Carolan Laudon holds a Ph.D. in Geophysics from the University of Minnesota and a BS in Geology from the University of Wisconsin Eau Claire. Carolan has worked as a Senior Geophysical Consultant with Geophysical Insights since 2017, applying the Paradise® machine learning workbench. Prior roles include Vice President of Consulting Services and Microseismic Technology for Global Geophysical Services and 17 years with Schlumberger in technical, management, and sales roles. Her work with Schlumberger included offices in Alaska, Aberdeen, Scotland, Houston, TX, Denver, CO, and Reading, England. Carolan spent the first five years after graduate school with ARCO Alaska in the exploration team as a seismic interpreter.