- author = "Tina Yu and Dave Wilkinson and Alexandre Castellini",
- title = "Applying Genetic Programming to Reservoir History Matching Problem",
- booktitle = "Genetic Programming Theory and Practice {IV}",
- year = "2006",
- editor = "Rick L. Riolo and Terence Soule and Bill Worzel",
- volume = "5",
- series = "Genetic and Evolutionary Computation",
- pages = "187--201",
- address = "Ann Arbor",
- month = "11-13 " # may,
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-387-33375-4",
-
URL = "
http://www.cs.mun.ca/~tinayu/Publications_files/gptp2006.pdf",
-
DOI = "
doi:10.1007/978-0-387-49650-4_12",
- size = "14 pages",
-
abstract = "History matching is the process of updating a
petroleum reservoir model using production data. It is
a required step before a reservoir model is accepted
for forecasting production. The process is normally
carried out by flow simulation, which is very
time-consuming. As a result, only a small number of
simulation runs are conducted and the history matching
results are normally unsatisfactory.
In this work, we introduce a methodology using genetic programming (GP) to construct a proxy for reservoir simulator. Acting as a surrogate for the computer simulator, the cheap GP proxy can evaluate a large number (millions) of reservoir models within a very short time frame. Collectively, the identified good-matching reservoir models provide us with comprehensive information about the reservoir. Moreover, we can use these models to forecast future production, which is closer to the reality than the forecasts derived from a small number of computer simulation runs.
We have applied the proposed technique to a West African oil field that has complex geology. The results show that GP is able to deliver high quality proxies. Meanwhile, important information about the reservoirs was revealed from the study. Overall, the project has successfully achieved the goal of improving the quality of history matching results without increasing the number of reservoir simulation runs. This result suggests this novel history matching approach might be effective for other reservoirs with complex geology or a significant amount of production data.",
- notes = "part of \cite{Riolo:2006:GPTP} Published Jan 2007 after the workshop",
