US 7,590,516 B2
Method for quantifying uncertainties related to continuous and discrete parameters descriptive of a medium by construction of experiment designs and statistical analysis
Astrid Jourdan, Idron (France); Isabelle Zabalza-Mezghani, Rueil Malmaison (France); and Emmanuel Manceau, Rueil Malmaison (France)
Assigned to Institut Francais du Petrole, Rueil Malmaison Cedex (France)
Filed on Apr. 02, 2003, as Appl. No. 10/404,049.
Claims priority of application No. 02 04109 (FR), filed on Apr. 02, 2002.
Prior Publication US 2003/0220775 A1, Nov. 27, 2003
Int. Cl. G06G 7/50 (2006.01); G06G 7/48 (2006.01)
U.S. Cl. 703—10  [703/9; 703/18] 40 Claims
OG exemplary drawing
 
1. A method of optimizing production from an underground reservoir comprising the steps:
(a) collecting at least one continuous and at least one discrete petrophysical parameter descriptive of the reservoir;
(b) defining a series of production scenarios from the petrophysical parameters;
(c) combining a sensitivity analysis and a risk analysis to analyze the production scenarios which includes constructing experiment designs comprising a factorial part, a central part and an axial part by taking account of the at least one continuous and the at least one discrete petrophysical parameter, forming at least one block by folding a regular fraction for the at least one continuous parameter and assigning to each block at least one modality of at least one discrete petrophysical parameter; and analyzing results by combining the sensitivity analysis and the risk analysis involving marginal models and a global model;
(d) determining a selection of the production scenarios from the sensitivity and risk analysis;
(e) performing flow simulations for the selection of the production scenarios;
(f) determining a dynamic behavior of the underground reservoir from the flow simulations;
(g) selecting a production scenario from the dynamic behavior that optimizes production; and
(h) adjusting controllable discrete parameters in the underground reservoir as determined from the selected production scenarios to achieve optimized production from the reservoir.