Fast screening of geostatistical realizations for SAGD reservoir simulation

• Published in: Journal of petroleum science & engineering Vol. 124; pp. 264 - 274
• Main Authors: Majdi Yazdi, Mehdi, Jensen, Jerry L.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier B.V 01.12.2014; Elsevier
• Subjects: Applied sciences; Computer simulation; Crude oil, natural gas and petroleum products; Crude oil, natural gas, oil shales producing equipements and methods; Drainage; Energy; Enhanced oil recovery methods; Exact sciences and technology; Fuels; geostatistical realizations; Geostatistics; Horizontal; Mathematical models; Prospecting and production of crude oil, natural gas, oil shales and tar sands; ranking; Reservoirs; SAGD case studies; Thermal simulation; SAGD case studies; geostatistical realizations; ranking; thermal simulation; Enhanced recovery; Geostatistics; Steam injection; Gravity drainage
• ISSN: 0920-4105; 1873-4715
• DOI: 10.1016/j.petrol.2014.09.030

Identifying the range of dynamic reservoir performance responses requires conducting numerical flow modeling on geostatistical realizations. The extent of steam-assisted gravity drainage (SAGD) models, multiple horizontal well-pairs, and simultaneous flow of heat and fluids make a single SAGD simulation computationally burdensome. Therefore, it is impractical to simulate all hundreds of SAGD realizations. We have introduced a static measure based on average harmonic permeability called the (kH)A method to help rank realizations for their SAGD performance. The high correlation between the (kH)A method and the thermal simulation results shows that the (kH)A method is a useful ranking tool and helps to select a few realizations exhibiting distinct responses for detailed flow modeling. By testing the method against several datasets, it is shown to be easy to apply, fast to run, reliable and robust compared to other methods. •The method is fast, general, and easy to apply compared to other methods.•Reduces the SAGD performance uncertainty assessment time from days to a few hours.•Identifies realizations with extreme production performance with high reliability.•Able to handle extensive, realistic, and multi-well models.•The way the method works is consistent with SAGD flow dynamics.