The MicroSeismic Study Group

“The Need for Synthetic Microseismic Datasets”

(first in a series on synthetic datasets)

 Presented via webinar with

Dave Diller, NanoSeis

May 16, 2017   11:30 am – 12:30 pm Mountain Time

THIS IS A WEBINAR – WE ARE NOT MEETING AT PINNACLE/HALLIBURTON

ATTENDANCE WILL BE LIMITED TO 100 PEOPLE

Pease register at: https://attendee.gotowebinar.com/register/7198699822052477697
Webinar ID: 253-835-371

The May 16, 2017 Denver Microseismic Study Group will be a webinar to discuss the potential value of synthetic microseismic datasets, and how such synthetic datasets might be created quickly and economically. This will be the first in a series of webinars on the topic of synthetic microseismic datasets.

Abstract:

Reflection seismology has benefited a great deal from the existence of synthetic datasets such as Salt 3D, Sigsbee, and SEAM.  In particular, these synthetic datasets have enabled comparisons of results from various imaging algorithms, and has allowed good new algorithms (e.g. from students) to be objectively and immediately recognized.

Unfortunately, no good synthetic datasets are available for comparison of results from microseismic algorithms, which may be part of the reason that microseismic processing is regarded by some as “remaining in its infancy” (Hayles et al., 2011). It may also be why it appears that many of us have only a vague notion of which microseismic algorithms work best, and why good new algorithms may not be immediately recognized as such.

This is not necessarily a difficult problem to solve, and does not necessarily require a project on the scale of an SEG Advanced Modeling project (although that would be great). In addition to highlighting the problem and the need for synthetic microseismic datatsets, I will present what I believe to be a quick and inexpensive solution to creating synthetic microseismic datasets.

Dave Diller’s biography:

Dave Diller is the current organizer of the Denver Microseismic Study Group meetings. He has reached the stage in his career where he tends to minimize the description of his professional experience. He founded NanoSeis in 2011 when he realized that he was too cranky to be a good employee anymore.