Reduce Time and Cost for Seismic Data Interpretation with Amazon SageMaker

What

Join SoftServe to learn how Machine Learning (ML) and Amazon SageMaker help decrease time to first oil through automating seismic interpretation workflows and improving efficiency of prospect detection and maturation using ML techniques.

During the webinar we will demo techniques for applying machine learning algorithms to seismic data using Amazon SageMaker for fault identification and horizons detection.

Amazon SageMaker eliminates most machine learning challenges by providing a fully managed ML infrastructure, tooling, and AutoML capabilities that empower state-of-the-art ML solution delivery in a time-efficient manner—and with minimal effort. Amazon SageMaker is an end-to-end solution that assists during all stages of the ML model lifecycle.

In this webinar will learn how to address modern upstream business and technical challenges, as well as how to bridge the gap between exploration data, science, IT, business stakeholders, and end-users.

Why join?

If you are a Geophysicist/Geologist you will learn how using ML for data interpretation can speed up your first pass seismic interpretation leading to increased productivity.

If you are a Data Scientist or IT Manager, you will learn how to set up an Amazon SageMaker environment for subsurface team members, and best practices for creating scalable systems that integrate with existing IT resources.

After the webinar

SoftServe and AWS will provide you a working tutorial, so you can repeat the demo in your own environment with your own dataset. An online ideation workshop can be delivered as a next step to kick off true automation of seismic and well log data processing and optimization of other geophysical workflows in your company.

Who should attend

Geophysicists, Geologists, Exploration engineers, QI Geophysicist, Petroleum Engineers, Reservoir Engineer/Manager, Director of Engineering, Engineering Project Manager, Data Management Director, Director of ML.

Agenda

Intro ➡ Presentation ➡ Demo ➡ Q&A

When

June 18th, 10am CST

Where

Register here for our Zoom Digital Event.