Flow diagnostics for naturally fractured reservoirs

Victoria Spooner, Sebastian Geiger, Daniel Arnold

Research output: Contribution to conferencePaper

Abstract

Carbonate reservoirs contain much of the world’s remaining hydrocarbon resources. These reservoirs are challenging to characterise and forecast production due to uncertainty in the fracture distribution and wettability. Ideally a large number of models needs to be simulated to quantify uncertainty but, due to time constraints, typically only a small subset of scenarios is considered. A dual-porosity module with a flow diagnostic toolbox has been implemented into MRST by the Carbonate Reservoir Group at Heriot-Watt University. The new diagnostics provide useful information that approximates the reservoir dynamics and matches full-physics simulation results, but can be obtained in a fraction of the time needed for simulation. Using flow diagnostics hence enables the fast screening and ranking of vast numbers of static models for fractured reservoirs. This enables us to consider the full range of geological uncertainty whilst minimising the number of models required for traditionally heavy simulation tasks such as, production forecasting, optimisation and uncertainty analysis that rely on full-physics simulations. Flow diagnostics hence complement and extend knowledge obtained from conventional fractured reservoir characterisation, calibration, and simulation workflows.
Original languageEnglish
DOIs
Publication statusPublished - 5 Feb 2018
Event3rd EAGE Workshop on Naturally Fractured Reservoirs - Muscat, Oman
Duration: 5 Feb 20187 Feb 2018
http://events.eage.org/en/2018/Third-EAGE-Workshop-on-Naturally-Fractured-Reservoirs

Conference

Conference3rd EAGE Workshop on Naturally Fractured Reservoirs
CountryOman
CityMuscat
Period5/02/187/02/18
Internet address

Fingerprint

simulation
physics
hydrocarbon resource
carbonate
dual porosity
reservoir characterization
wettability
uncertainty analysis
ranking
calibration
forecast
distribution
screening
world

Cite this

Spooner, V., Geiger, S., & Arnold, D. (2018). Flow diagnostics for naturally fractured reservoirs. Paper presented at 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman. https://doi.org/10.3997/2214-4609.201800035
Spooner, Victoria ; Geiger, Sebastian ; Arnold, Daniel. / Flow diagnostics for naturally fractured reservoirs. Paper presented at 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman.
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Spooner, V, Geiger, S & Arnold, D 2018, 'Flow diagnostics for naturally fractured reservoirs', Paper presented at 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman, 5/02/18 - 7/02/18. https://doi.org/10.3997/2214-4609.201800035

Flow diagnostics for naturally fractured reservoirs. / Spooner, Victoria; Geiger, Sebastian; Arnold, Daniel.

2018. Paper presented at 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Flow diagnostics for naturally fractured reservoirs

AU - Spooner, Victoria

AU - Geiger, Sebastian

AU - Arnold, Daniel

PY - 2018/2/5

Y1 - 2018/2/5

N2 - Carbonate reservoirs contain much of the world’s remaining hydrocarbon resources. These reservoirs are challenging to characterise and forecast production due to uncertainty in the fracture distribution and wettability. Ideally a large number of models needs to be simulated to quantify uncertainty but, due to time constraints, typically only a small subset of scenarios is considered. A dual-porosity module with a flow diagnostic toolbox has been implemented into MRST by the Carbonate Reservoir Group at Heriot-Watt University. The new diagnostics provide useful information that approximates the reservoir dynamics and matches full-physics simulation results, but can be obtained in a fraction of the time needed for simulation. Using flow diagnostics hence enables the fast screening and ranking of vast numbers of static models for fractured reservoirs. This enables us to consider the full range of geological uncertainty whilst minimising the number of models required for traditionally heavy simulation tasks such as, production forecasting, optimisation and uncertainty analysis that rely on full-physics simulations. Flow diagnostics hence complement and extend knowledge obtained from conventional fractured reservoir characterisation, calibration, and simulation workflows.

AB - Carbonate reservoirs contain much of the world’s remaining hydrocarbon resources. These reservoirs are challenging to characterise and forecast production due to uncertainty in the fracture distribution and wettability. Ideally a large number of models needs to be simulated to quantify uncertainty but, due to time constraints, typically only a small subset of scenarios is considered. A dual-porosity module with a flow diagnostic toolbox has been implemented into MRST by the Carbonate Reservoir Group at Heriot-Watt University. The new diagnostics provide useful information that approximates the reservoir dynamics and matches full-physics simulation results, but can be obtained in a fraction of the time needed for simulation. Using flow diagnostics hence enables the fast screening and ranking of vast numbers of static models for fractured reservoirs. This enables us to consider the full range of geological uncertainty whilst minimising the number of models required for traditionally heavy simulation tasks such as, production forecasting, optimisation and uncertainty analysis that rely on full-physics simulations. Flow diagnostics hence complement and extend knowledge obtained from conventional fractured reservoir characterisation, calibration, and simulation workflows.

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M3 - Paper

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Spooner V, Geiger S, Arnold D. Flow diagnostics for naturally fractured reservoirs. 2018. Paper presented at 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman. https://doi.org/10.3997/2214-4609.201800035