Microseismic User Group (MUG)

Modeling SRV via Integration of RTA and Microseismic Analysis

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Peyman Moradi
ESG Solutions

Tuesday, October 29th, 2019 – 12:00 PM
Palliser Amphitheatre is 200-125-9th Ave SE (Second floor, Palliser One building)

Unless the capacity is exceeded, we will not respond to your email. Attendance is free, just bring along your lunch.

RSVP NOW for the next Microseismic User Group (MUG) event.

If you have any questions, please contact:

Paige Mamer, Paige.Mamer@tgs.com,
Johnny Wentzel, Johnny.Wentzel@esgsolutions.com


Microseismic event clouds, together with the findings of modern microseismic analysis, are not easily incorporated into routine reservoir characterization workflows, as all not microseismic events are equal.  Microseismic events exhibit different source mechanisms, and represent differing degrees of deformation, connectivity and conductivity within a reservoir (common terminology to describe this include dry vs. wet or propped vs. unpropped).

To address this challenge, ESG applies a novel approach to analytical reservoir models by integrating four straight-line techniques to refine the SRV boundaries in 3D and build more realistic models of the conductive fracture network. In particular, the approach entails coupling of the local rock mass response to the treatment, estimated using statistical analysis of microseismic events (Dynamic Parameter Analysis), and the RTA-derived estimations of the productivity of the fracture network. The workflow is complemented by a 3D physics-based analytical RTA model, called 9-grain model, that enables modeling multi-frac horizontal wells (MFHWs) with partially penetrating fractures of a time- and pressure-dependent productivity and a variable fracture width.

Through a case study, this talk will demonstrate how the SRV modeler works, what insights it gives into the fracture interference, how the final SRV model facilitates optimization studies and feeds multi-well multi-phase numerical simulations, and how the results of the integrated tool compare with those achieved by stand-alone RTA.


Peyman Moradi completed his Ph.D. and postdoc at the University of Calgary, both in reservoir engineering and under the Fundamentals of Unconventional Resources (FUR) and the Global Research Initiative in Sustainable Low Carbon Unconventional Resources (GRI) research programs. During this period, he also served as a scientific programmer at two Calgary-based energy companies.  Prior to his time in Calgary, Peyman graduated from Sharif and Tehran universities and spent three years working as reservoir engineer at Petropars Ltd., Iran. Peyman joined ESG in August 2018, in an R&D capacity where his research has focused on how best to couple RTA and microseismic analysis to evaluate the stimulation efficiency in MFHWs.  Most recently he has focused on applying his methodology to data from the Permian and Western Canadian basins.