Sorry, you need to enable JavaScript to visit this website.
Menu
Login

Online

SPWLA 62nd Annual Symposium

Join us online for the SPWLA 62nd Annual Symposium. Our #ReservoirExperts have prepared a selection of virtual booth talks to share with you - please note you do not need to be an attendee of SPWLA in order to register for these.

Our presentations

Enhancing Data Preparation with Automation in PowerLog
Fred Jenson
11:30AM (CDT) Monday, May 17
Register

Evaluate Reservoir Potential with a Quick Deterministic Workflow in PowerLog
Fred Jenson
9:30AM (CDT) Tuesday, May 18
Register

Integrated Approach to Pay Detection with Machine Learning
Fred Jenson & Ruth Kurian
12:30PM (CDT) Tuesday, May 18
Register

Back to the Basics: Log Analysis for Engineers and Geologists
Fred Jenson
9:30AM (CDT) Wednesday, May 19
Register

Evaluate Reservoir Potential with a Quick Deterministic Workflow in PowerLog
Fred Jenson
12:30PM (CDT) Wednesday, May 19
Register

Enhancing Data Preparation with Automation in PowerLog
Fred Jenson
9:30AM (CDT) Thursday, May 20
Register

 

EDT (UTC-4)
-

PowerLog

Gain greater insight into subsurface rock and fluid properties to locate and evaluate zones in wellbores and quantify their commercial potential.

International Oil Spill Conference IOSC 2021

We are proud participants in the IOSC 2021 online conference. Connect with us to discover how our unique offshore insight helps mitigate environmental risks. IOSC week coincides with the launch of our new SeaScope pollution monitoring solution.

Our Technical Papers

Monitoring Sea Surface Oil Slicks; A Combined Approach Using Advances in Satellite Radar, AIS and Metocean Information
William Jeffery
Session PS4-03: Spill Surveillance, Visualization, & Monitoring: Remote Sensing 1
1:45 PM- 3:15 PM (EDT), Friday May 14

EDT (UTC-4)
-

Related Pages

GSH-SEG Spring Symposium

Data Science and Geophysics: How Machine Learning and AI will Change Our Industry

Join our #ReservoirExperts online as they share their geoscience and machine learning experience at the Geophysical Society of Houston’s premier technical event.

Our Technical Papers

Predicting Reservoir Properties from Seismic and Well Data using Deep Neural Networks
Jon Downton
2:15 PM (CDT), Tuesday April 27

CDT (UTC-5)
-

Related Software

Machine Learning Environment

Solve difficult petrophysical challenges by applying machine learning and deep learning techniques.