Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science
Reexamination Certificate
2005-08-09
2005-08-09
Bui, Bryan (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Earth science
C367S056000
Reexamination Certificate
active
06928367
ABSTRACT:
Systems and methods of reservoir fracture characterization are disclosed. In one embodiment, the method includes: 1) obtaining seismic traces; 2) combining seismic traces into gathers that reveal acoustic reflectivity as a function of offset, azimuth, and position; 3) measuring reflection anisotropy as a function of position; 4) determining a relationship between reflection anisotropy and fracture intensity measurements at specific positions; and 5) applying the relationship to reflection anisotropy measurements to create a set of fracture intensity measurements at regularly-spaced positions.
REFERENCES:
Zellou et al., Improved Fractured Reservoir Characterization Using Neural Networks, Geomechanics and 3-D Seismic, 1995, SPE 30722, pp. 205-215.
Ouenes et al., Fractured Reservoir Characterization and Performance Forecasting Using Geomechanics and Artificial Intelligence, 1995, SPE 30572, pp. 425-436.
Hall et al., Fractured reservoir Characterization Using P-Wave AVOA Analysis of 3D OBC Data, Aug. 2002, The Leading Edge, pp. 777-781.
Gray et al., Fractured Detection in Manderson Field: A 3-D AVAZ Case History, Nov. 2000, The Leading Edge, pp. 1214-1221.
Letter from co-inventor Abdel M. Zellou with attached claims having annotations by Abdel M. Zellou (7 p.).
Gauthier, B.D.M., et al., “Integrated Fractured Reservoir Characterization: A Case Study In A North Africa Field.” Society Of Petroleum Engineers, Paper No. SPE 65118, Oct. 24-24, 2000, 11 pages, Paris, France.
Ouenes, Ahmed et al., “Fractured Reservoir Characterization And Performance Forecasting Using Geomachinics And Artificial Intelligence,” Society Of Petroleum Engineers, Paper No. SPE 30572, Oct. 22-25, 1995, pp. 425-436, Dallas, Texas.
Ouenes, Ahmed, “Practical Application Of Fuzzy Logic And Neural Networks To Fractured Reservoir Characterization,” Computers & Geosciences, 26, 2000, pp. 953-962.
Ouenes, Ahmed et al., “Practical Use Of Neural Networks In Tight Gas Fractured Reservoirs: Application To The San Juan Basin,” Society Of Petroleum Engineers, Paper No. SPE 39965, Apr. 5-8, 1998, pp. 573-580, Denver, Colorado.
Zellou, Ahmed M. et al., “Improved Fractured Reservoir Characterization Using Neural Networks, Geomechanics And 3-D Seismic,” Society Of Petroleum Engineers, Paper No. SPE 30722, Oct. 22-25, 1995, pp. 205-215, Dallas, Texas.
Zellou, Ahmed M. et al., “Integrated Fractured Reservoir Characterization Using Neural Networks And Fuzzy Logic: Three Case Studies,” Journal Of Petroleum Geology, vol. 24, No. 4, Oct., 2001, pp. 459-476.
A.M. Zellou and A. Ouenes, Integrated Fractured Reservoir Characterization Using Neural Networks and Fuzzy Logic: Three Case Studies, Journal of Petroleum Geology, Oct. 2001, pp. 1-18, vol. 24(a), Scientific Press Ltd., UK.
A. Ouenes et al., Practical Use of Neural Networks in Tight Gas Fractured Reservoirs: Application to the San Juan Basin, 1998, pp. 1-8, SPE 39965, Society of Petroleum Engineers, Inc., Richardson, Texas.
Boerner Sean T.
Gray Frederick David
Todorovic-Marinic Dragana
Zellou Abdel M.
Bui Bryan
Conley & Rose, P.C.
Le Toan M.
Veritas DGC Inc.
LandOfFree
Reservoir fracture characterization does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Reservoir fracture characterization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reservoir fracture characterization will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3507441