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Sequential approach to joint flow‐seismic inversion for improved characterization of fractured media
Author(s) -
Kang Peter K.,
Zheng Yingcai,
Fang Xinding,
Wojcik Rafal,
McLaughlin Dennis,
Brown Stephen,
Fehler Michael C.,
Burns Daniel R.,
Juanes Ruben
Publication year - 2016
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2015wr017412
Subject(s) - geology , inversion (geology) , synthetic data , reservoir modeling , workflow , tracer , seismic inversion , fracture (geology) , flow (mathematics) , geophysics , geotechnical engineering , seismology , computer science , algorithm , mechanics , geometry , physics , mathematics , database , azimuth , nuclear physics , tectonics
Abstract Seismic interpretation of subsurface structures is traditionally performed without any account of flow behavior. Here we present a methodology for characterizing fractured geologic reservoirs by integrating flow and seismic data. The key element of the proposed approach is the identification—within the inversion—of the intimate relation between fracture compliance and fracture transmissivity, which determine the acoustic and flow responses of a fractured reservoir, respectively. Owing to the strong (but highly uncertain) dependence of fracture transmissivity on fracture compliance, the modeled flow response in a fractured reservoir is highly sensitive to the geophysical interpretation. By means of synthetic models, we show that by incorporating flow data (well pressures and tracer breakthrough curves) into the inversion workflow, we can simultaneously reduce the error in the seismic interpretation and improve predictions of the reservoir flow dynamics. While the inversion results are robust with respect to noise in the data for this synthetic example, the applicability of the methodology remains to be tested for more complex synthetic models and field cases.