Stephen N Chapman

US Patent:

20090102166, Apr 23, 2009

Filed:

Oct 23, 2007

Appl. No.:

11/976310

Inventors:

Mardoro Brown - San Antonio TX, US
James Garvin - San Antonio TX, US
Stephen Chapman - Oak Ridge NC, US
Scott Caudill - Helotes TX, US
Daniel Heath - San Antonio TX, US

International Classification:

B60R 21/21
B60R 21/215

US Classification:

2807282, 2807302

Abstract:

The disclosed airbag module may be used in a vehicle. The airbag may include an airbag for protecting a vehicle occupant and at least one tearable sleeve. The airbag is configured to be in a folded or rolled up state and to deploy along an interior side portion of the vehicle. The at least one tearable sleeve is coaxially or circumferentially surrounding a portion of the airbag in the folded or rolled up state.

US Patent:

51738791, Dec 22, 1992

Filed:

Jun 25, 1992

Appl. No.:

7/904296

Inventors:

Vu K. Cung - Houston TX
Elliott G. Flowers - Houston TX
Chris T. Corcoran - Bellaire TX
Stephen J. Chapman - San Francisco CA

Assignee:

Shell Oil Company - Houston TX

International Classification:

G01V 136

US Classification:

367 46

Abstract:

A method is provided for adaptive minimum-phase deconvolution. The deconvolution method removes source and receiver wavelet variations in a surface-consistent manner from traces of a seismic survey which has the traces indexed by source and receiver locations. A plurality of source-pairs and a plurality of a receiver-pairs are selected from the traces. Each source-pair has two designated sources and each receiver-pair has two designated receivers. Cross-correlations are performed on traces in each source-pair which have common receivers to provide a source-pair cross-correlation signal for each common receiver. Cross-correlation are performed on traces in each receiver-pair which have common sources to provide a receiver-pair cross-correlation signal for each common source. The cross-correlation signals of each receiver-pair and each source-pair are stacked to provide stacked cross-correlation signals. The stacked signals are then used in a surface-consistent convolutional model to obtain within a selected bandpass an amplitude frequency spectrum for each source and receiver wavelet.