Register NOW:  The attendance seating is limited to 50 people.
Abstract submission deadline has been extended to May 17th, 2019. 
Please select the link below that matches your membership affiliation:
(please send an email to notify Zheng Gan (Zheng.Gan@corelab.com)  once you have completed the registration payment )  
Students: $50  
SPWLA members: $100
Non members: $125
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:             Non SPWLA member $125,    member $100, Student $50
                                      
Registration Fee includes breakfast, lunch, and coffee breaks
Sponsors: 





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), Siddharth Misra ( The University of Oklahoma )

Call for Abstracts: 

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

Abstract deadline:         Friday, May 17, 2019
Send your abstract to: Bin.Dai2@halliburton.com

Our Policy

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.






 

SPWLA Petrophysical Data-Driven Analytics Special Interest Group (PDDA-SIG)

 

Following the positive feedback of the recently conducted special interest group (SIG) survey during 2018 SPWAL Spring topical conference, we are pleased to announce the formation of a new SPWLA special interest group dedicated on Petrophysical Data-Driven Analytics (PDDA). The vision for establishing a PDDA-SIG began at the 2018 SPWLA Spring topic conference in Houston, where more than 60 industry professionals (core analyst, tool physicists, petrophysists, geologist etc.) and data scientists attended to discuss the applications of advanced data analytics techniques to challenging petrophysical interpretations and oil field operations. Most of the conference attendees showed great interest and preregistered themselves as members of SPWLA PDDA SIG.

The goals of the PDDA-SIG are to create a venue for exchanging and sharing knowledge and best practices of applying advanced data analytics to solve challenging big-data-related problems in the oil and gas exploration and development. It aims to foster the cross-disciplinary technical collaborations between practitioners in academic and different sectors of O&G industry, and to promote networking for industry professionals.

The PDDA-SIG will cover the following primary technical areas:

  • geological–petrophysical interpretation

  • sensor and logging technology

  • rock physics and geomechanics

  • oil field operation improvement

  • data QC and management

  • AI assisted  automation

Participation in the PDDA-SIG is open for any practitioner and student who are interested in this subject matter. Please use following URL in LinkedIn Group for PDDA-SIG member registration:

https://www.linkedin.com/groups/13605420

It is planed that the PDDA-SIG will hold annual meeting and quarterly seminars. The first annual meeting is planed to be in the Spring of 2019. Please follow PDDA-SIG webpage or SPWLA newsletter for the latest update of all PDDA-SIG events.

During the 2018 Spring Topical Conference, several productive panel discussions were actively participated by PDDA SIG members. The summary was compiled by Dr. Chicheng Xu and Dr. Siddharth Misra, and published on the latest SPWLA newsletter, please check the summary here.

The inaugural PDDA-SIG executive committee (2018-2019) is composed of:

Chairman: Chicheng Xu, Aramco Services Company, Chicheng.Xu@aramcoservices.com
Vice-Chairman: Michael Ashby, Anadarko Petroleum Corporation
, ashby149@aol.com
Secretary of Publications: Bin Dai, Halliburton, Bin.Dai2@halliburton.com
Treasurer: Zheng Gan, Core Laboratories, Zheng.Gan@corelab.com
Secretary: Constantine Vavourakis, Paradigm, Emerson, Constantine.Vavourakis@emerson.com

Chicheng Xu

Michael Ashby

Bin Dai

Zheng Gan

Zheng (Jon) Gan

Constantine Vavourakis