2023 SPWLA Petrophysical Machine Learning Conference

2023 SPWLA Petrophysical Machine Learning Conference
SPWLA PPDA SIG invites petrophysicists, students, geoscientists, machine learning enthusiasts, and academic researchers to submit an abstract for an upcoming topical conference. PDDA SIG requests submissions showcasing theories, methodologies, and strategies to address current subsurface challenges faced in data analytics and machine learning applications. Take part in the latest PDDA related technical presentations and discussions with operators, service companies, and academic institutions. Call for Abstracts are issued for the following conference:

Tuesday and Wednesday, October 10-11, 2023
Time:           8:00 am - 4:30 pm CDT
        Halliburton North Belt Campus - Auditorium
                   3000 N. Sam Houston Pkwy East, Houston, TX 77032

REGISTRATION FEE:  (In Person) Professional - $375, Student - $75
                                      (Online) Professional- $275, Student - $50

                          In-person -  Registration Fee includes breakfast, lunch, and coffee breaks

PDDA SIG MEETING COMMITTEE: Hyungjoo Lee (Helmerich & Payne), Fransiska Goenawan   (Halliburton), Wen Pan (Shell), Michael Ashby (Devon Energy), Jaehyuk lee (Baker Hughes), Lei Fu (Saudi Aramco), Yanxiang Yu (Amazon), and Andy McDonald (Geoactive)

                           CALL FOR ABSTRACTS OPEN                                                           

Abstract deadline:         EXTENDED - Wednesday, September 27, 2023, 11:59 pm CST
                                          Send your abstract to:
[email protected]

  • Depth Matching, Well Log Alignment and Depth Shift
  • Supervised and Unsupervised Classification and Regression
  • ML for the Frontiers, Large Language Model with Petrophysics, Semi-Supervised and Reinforcement Learning
  • Petrophysical Workflow Automation with AI/ML

10/10/2023 8:00 AM - 10/11/2023 4:30 PM
3000 N Sam Houston Pkwy E Houston, TX 77032 UNITED STATES

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