SPWLA PDDA 2019 SIG Meeting
Keywords: Machine Learning, Deep Learning, Artificial Intelligence,
Petrophysical Interpretation, Reservoir Characterization
When: Thursday, June 20, 2019 (the day after the 2019 SPWLA annual meeting)
Where: Anadarko Corporation Headquarter
1201 Lake Robbins Drive, The Woodlands, Texas 77380
REGISTRATION FEE: Member - $100, Student - $50 Non-member - $125,
Registration Fee includes breakfast, lunch, and coffee breaks
Please click to Register NOW: Max :50
PDDA SIG MEETING COMMITTEE: Chicheng Xu (Aramco Services Company), Michael Ashby( Anadarko Petroleum Corporation), Bin Dai (Halliburton), Zheng Gan (Core Laboratories), Constantine Vavourakis(Paradigm, Emerson)
CALL FOR ABSTRACTS
Abstract deadline: Friday, April 19, 2019 Send your abstract to: Bin.Dai2@halliburton.com
The committee encourages the SPWLA community to share both theories and applications of the emerging data-driven analytics methods as applicable to petrophysical data analysis, such as machine learning (deep learning) and artificial intelligence. We are seeking abstract submissions (250-500 words) on related topics including but not limited to the following areas:
- Interpretation and mapping of geological features
- Reservoir description, characterization, and modeling
- Seismic rock properties or rock physics modeling
- Well and reservoir surveillance
- Operational practices: data acquisition, quality control, standardization, and automation
It is the policy of this organization to provide equal opportunities without regard to race, color, religion, national origin, gender, sexual preference, age, or disability.
Conference attendance seating limited to fifty. Preference will be given to applicants who are willing to present at this topical conference.
Proceedings are “off the record” to encourage sharing of the latest techniques and information. Presentations will typically be 20-30 minutes (including Q&A).
Quoting and (or) recording speakers or their presentations is prohibited.
Commercialism in speaker presentations will not be permitted. Company logos should be limited to the title slide only and used only to indicate the affiliation of the author and co-authors of the presentation.