Method for more rapidly producing the representative...

Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Fluid

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C703S009000

Reexamination Certificate

active

07392166

ABSTRACT:
A method for more rapidly forming a stochastic model of Gaussian or Gaussian-related type, representative of a porous heterogeneous medium such as an underground reservoir, constrained by data characteristic of the displacement of fluids and punctual observations, these observations being uncertain and characterized by a probability law. The method transforms static information, given in form of probability laws, into Gaussian punctual pseudo-data which has the advantage of being compatible with a gradual deformation method. An objective function J measuring the difference between the dynamic data (production data for example) and the corresponding responses simulated for the reservoir model considered may be minimized.

REFERENCES:
patent: 5325533 (1994-06-01), McInerney et al.
patent: 6388947 (2002-05-01), Washbourne et al.
patent: 6662109 (2003-12-01), Roggero et al.
patent: 6804625 (2004-10-01), Bryant
patent: 2001/0027389 (2001-10-01), Beverina et al.
patent: 2003/0100451 (2003-05-01), Messier et al.
patent: 2003/0115029 (2003-06-01), Calvert et al.
patent: 2003/0173072 (2003-09-01), Vinegar et al.
patent: 2003/0192693 (2003-10-01), Wellington
patent: 2004/0138862 (2004-07-01), Hu et al.
patent: 2006/0241920 (2006-10-01), Le Ravalec-Dupin et al.
patent: 2007/0055447 (2007-03-01), Mickaele et al.
patent: 2 780 798 (2000-01-01), None
patent: 2 795 841 (2001-01-01), None
patent: 2 823 877 (2002-10-01), None
Lisle, Thomas E.; Church, Michael 2002. Sediment transport-storage relations for degrading, gravel bed channels Water Resources Research 38(11): 1219, doi:10.1029/2001WR001086, 2002.
E. Manceau, M. Mezghani, I. Zabalza-Mezghani, F. Roggero, IFP, “Combination of Experimental Design and Joint Modeling Method for Quantifying the Risk Associated With Deterministic and Stochastic Uncertainties—An Integrated Test Study”, 2001,. Society of Petroleum Engineers Inc. (abstract and introduction only).
L.Y. Hu, M. Le Ravalec, G. Blanc, F. Roggero, B. Noetinger, Institut Français du Petrole; A. Haas, B. Corre, Elf Exploration & Production, “Reducing Uncertainties in Production Forecasts by Constraining Geological Modeling to Dynamic Data”; Copyright 1999, Society of Petroleum Engineers Inc. (abstract and introduction only).
Blanc, G., Guerillot, D., Rahon, D., Roggero, F., IFP; HELIOS Reservoir group; “Building Geostatistical Models Constrained by Dynamic Data—A Posteriori Constraints”; Copyright 1996, Society of Petroleum Engineers, Inc. (abstract and introduction only).
L. Y. Hu et al, “Reducing Uncertainties in Production Forecasts by Constraining Geological Modelling to Dynamic Data”; 1999, SPE 56703, pp. 1-8.
Liu, “Assessment of Uncertainty Assessment Methods”, PhD Thesis, University of Tulsa, 2001.
Ravalec-Dupin Le, M. Et al: “Optimization with the Gradual Deformation Method”,Mathematical Geology, Plenum Press, London, GB, vol. 34, No. 2, Feb. 2002, pp. 125-142 (XP008021586), ISSN: 0882-8121.
“Technical Aspects of Geostatistics”, Engineering and Design—Practical Aspects of Applying Geostatistics at Hazardous, Toxic and Radioactive Waste Sites, XX, XX, Jun. 30, 1997, pp. 2-1 through 2-17, XP002193129.
Freulon, Xavier et al, “Conditioning a Gaussian Model With Inequalities”, in Geostatistics Trola'92, A. Soares, ed., Kluwer Academic Publishers, Dordrecht, The Netherlands, 1993.
Le Ravalec-Dupin, M., “Conditioning truncated Gaussian realizations to static data”, 8th Ann. Conf. Int. Ass. Math. Geol., Berlin, Germany, Sep. 15-20, 2002, 6 pgs.
Hu, L.Y., 2000, Gradual Deformation and Iterative Calibration of Gaussian-Related Stochastic ModelsMathematical Geology, vol. 32, No. 1, pp. 87-108.
Le Ravalec, M, et al, 2000, The EFT Moving Average (FFT-MA) Generator“ An Efficient Numberical Method for Generating and Conditioning Gaussian Simulations”Mathematical Geology, vol. 32, No. 6, pp. 701-723.
Hu, L.Y. et al (2001), “Gradual Deformation and Iterative Calibration of Sequential Stochastic Simulations”,Mathematical Geology, vol. 33, No. 4, 2001, pp. 475-489.
Roggero, F. et al, 1998, “Gradual Deformation of Continuous Geostatistical Models for History Matching”, Paper SPE 49004: Proc. SPE Annual Technical Conference and Exhibition, New Orleans, pp. 221-236.
Hu, L.Y. et al, 1998, “Constraining a Reservoir Facies Model to Dynamic Data Using a Gradual Deformation Method”, Paper B-01: Proc. 6thEuropean Conference on Mathematics of Oil Recovery (ECMOR VI), Sep. 9-11, 1998, Peebles, Scotland, 7 pgs.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for more rapidly producing the representative... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for more rapidly producing the representative..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for more rapidly producing the representative... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2805378

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.