15
STUDY GROUP
JANUARY 2019
DATA ANALYTICS Data Analytics Seminar: Seismic Applications of Machine Learning Generative adversarial networks (GANs) are a class of machine learning techniques that involve two networks trained simultaneously to generate a desired outcome. These schemes have had success in many traditional image processing tasks, such as style transfer and super-resolution, but are relatively unexplored in geophysics. We outline the underlying theory behind GANs and present networks that can perform traditional seismic processing tasks such as noise attenuation and trace interpolation.
Salt interpretation is one of the most time consuming, labor intensive and difficult to automate processes in the entire depth imaging workflow requiring significant human effort. We introduce a U-shaped encoder-decoder type Convolutional Neural Network architecture and use a specialized regularization strategy aimed at reducing the generalization errors. Our regularization scheme perturbs the ground truth labels in the training set. The robustness of our training strategy is demonstrated with real data from the Gulf of Mexico.
STEPHEN ALWON
Stephen Alwon is a Geophysicist at Schlumberger with over 10 years’ experience in seismic imaging. He has been involved with all aspects of seismic data work, from acquisition and processing to model building and imaging. Although his primary work focuses on model building and imaging, he has recently begun exploring various ways machine learning can impact the geosciences.
EVENT INFO
WHEN
Wednesday, January 23, 2019 6:00pm – 7:30pm
SPEAKERS Stephen Alwon Geophysicist Schlumberger
Sribharath Kainkaryam Data Scientist TGS
LOCATION
Intelie - Rignet Office 15115 Park Row Dr. Ste 300 Houston, Texas 77084
CONTACT 832-212-0042
andreslanda@gmail.com
SRIBHARATH KAINKARYAM
Sribharath (Sri) Kainkaryam is a data scientist with TGS. He works on applications of deep learning and machine learning problems in seismic imaging and petrophysics. He has a background in seismic imaging research, having worked as a research scientist for Schlumberger on seismic imaging and velocity model building.
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