AI for Well Log Processing and Machine Predicted Lithology

What:

Join SoftServe’s team of experts as we discuss how cloud technologies, Machine Learning (ML) and features engineering can automate well log data processing and lithology prediction, including the possible extension of well-to-well log correlation capabilities, all tied into one workflow.

In this virtual event you 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:

You will learn how using ML and features engineering can reduce time for conditioning and interpretation of well logging data from weeks to minutes for a single bore hole, as well as how this solution can be scaled into a comprehensive exploration data platform that can cover different fields and basins around the globe.

Who should attend:

Geophysicists, Geologists, Exploration engineers, QI Geophysicist, Petroleum Engineers, Reservoir Engineer/Manager, Director of Engineering, Engineering

Agenda:

During the webinar we will:

• Demo the automation of well logs processing and enhancement, that also can fill in gaps or missing bits of data by utilizing different data synthesizing techniques.​
• Showcase a machine learning model that has one of the highest accuracy scores in prediction lithology from a suite of wireline logs. This model was created by the SoftServe Energy Team for the “FORCE: Machine Predicted Lithology” challenge, and got us to the top of the public leaderboard.
• Explore possibilities to turn this workflow into a comprehensive exploration data platform, working with wells, well logs and any related documentation produced by oil and gas companies in any given formats (well reports, basin reports, geostratographic overviews, etc.).
• Answer your questions.

When:

December 8, 12 PM CST / 1 PM EST

Where:

Watch the Recording