TY - JOUR
T1 - Calibration of naturally fractured reservoir models using integrated well-test analysis – an illustration with field data from the Barents Sea
AU - Egya, David O.
AU - Corbett, Patrick W. M.
AU - Geiger, Sebastian
AU - Norgard, Jens Petter
AU - Hegndal-Andersen, Søren
N1 - Funding Information:
Funding This work was funded by the Petroleum Technology Development Fund Nigeria (D.O. Egya) and the CMG Reservoir Simulation Foundation (S. Geiger).
Publisher Copyright:
© 2021 The Author(s).
PY - 2022/2
Y1 - 2022/2
N2 - This paper successfully applied the geoengineering workflow for integrated well-test analysis to characterize fluid flow in a newly discovered fractured reservoir in the Barents Sea. A reservoir model containing fractures and matrix was built and calibrated using this workflow to match complex pressure transients measured in the field. We outline different geological scenarios that could potentially reproduce the pressure response observed in the field, highlighting the challenge of non-uniqueness when analysing well-test data. However, integrating other field data into the analysis allowed us to narrow the range of uncertainty, enabling the most plausible geological scenario to be taken forward for more detailed reservoir characterization and history matching. The results provide new insights into the reservoir geology and the key flow processes that generate the pressure response observed in the field. This paper demonstrates that the geoengineering workflow used here can be applied to better characterize naturally fractured reservoirs. We also provide reference solutions for interpreting well tests in fractured reservoirs where troughs in the pressure derivative are recognizable in the data.
AB - This paper successfully applied the geoengineering workflow for integrated well-test analysis to characterize fluid flow in a newly discovered fractured reservoir in the Barents Sea. A reservoir model containing fractures and matrix was built and calibrated using this workflow to match complex pressure transients measured in the field. We outline different geological scenarios that could potentially reproduce the pressure response observed in the field, highlighting the challenge of non-uniqueness when analysing well-test data. However, integrating other field data into the analysis allowed us to narrow the range of uncertainty, enabling the most plausible geological scenario to be taken forward for more detailed reservoir characterization and history matching. The results provide new insights into the reservoir geology and the key flow processes that generate the pressure response observed in the field. This paper demonstrates that the geoengineering workflow used here can be applied to better characterize naturally fractured reservoirs. We also provide reference solutions for interpreting well tests in fractured reservoirs where troughs in the pressure derivative are recognizable in the data.
UR - http://www.scopus.com/inward/record.url?scp=85125660619&partnerID=8YFLogxK
U2 - 10.1144/petgeo2020-042
DO - 10.1144/petgeo2020-042
M3 - Article
AN - SCOPUS:85125660619
SN - 1354-0793
VL - 28
JO - Petroleum Geoscience
JF - Petroleum Geoscience
IS - 1
M1 - petgeo2020-042
ER -