Communications – electrical: acoustic wave systems and devices – Seismic prospecting – Land-refraction type
Patent
1998-07-23
1999-12-07
Oda, Christine K
Communications, electrical: acoustic wave systems and devices
Seismic prospecting
Land-refraction type
367 75, 367 37, 367 73, 364421, G01V 130
Patent
active
05999486&
ABSTRACT:
The present invention provides a method for interpreting shear-wave seismic data to detect fractures in the subsurface of the earths crust. Seismic shear waves are acquired along medium symmetry planes and their corresponding AVO intercepts and gradients are estimated. The resulting AVO attributes are combined using a weighted least squares solution to estimate the change in splitting parameter and fast shear velocity, which are diagnostic of the presence of fractures. The method is also useful in assessing the porosity of the subsurface. Knowledge of subsurface fracturing and porosity is useful in locating, for example, oil and gas wells.
REFERENCES:
patent: 4375090 (1983-02-01), Thompson et al.
patent: 4398273 (1983-08-01), Thompson et al.
patent: 4803666 (1989-02-01), Alford
patent: 4817061 (1989-03-01), Alford et al.
patent: 5136554 (1992-08-01), Thomsen et al.
patent: 5596547 (1997-01-01), Bancroft et al.
patent: 5712829 (1998-01-01), Tang et al.
Ruger, A.,Center for Wave Phenomena, Reflection Coefficients and Azimuthal AVO Analysis in Anisotropic Media, pp. 1-131, Feb. 18, 1997, Arthur Lakes Library at Colorado School of Mines.
R.H. Tatham and M.D. McCormack, Multicomponent Seismology in Petroleum Exploration, pp. i-248, 1991, U.S.A.
Colorado School of Mines
Jolly Anthony
Oda Christine K
LandOfFree
Method for fracture detection using multicomponent seismic data 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 fracture detection using multicomponent seismic data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for fracture detection using multicomponent seismic data will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-831903