Neural network and its application to CT imaging

Conference · Sat Feb 01 00:00:00 EST 1997

OSTI ID:525917

Nikravesh, M; Kovscek, A R; Patzek, T W ^[1]

---

1. Lawrence Berkeley National Lab., CA (United States); and others

We present an integrated approach to imaging the progress of air displacement by spontaneous imbibition of oil into sandstone. We combine Computerized Tomography (CT) scanning and neural network image processing. The main aspects of our approach are (I) visualization of the distribution of oil and air saturation by CT, (II) interpretation of CT scans using neural networks, and (III) reconstruction of 3-D images of oil saturation from the CT scans with a neural network model. Excellent agreement between the actual images and the neural network predictions is found.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• OSTI ID: 525917
• Report Number(s): LBNL-40112; CONF-9608146-; ON: DE97005928; TRN: 97:015077
• Resource Relation: Conference: Workshop on x-ray computed microtomography (CMT), Berkeley, CA (United States), 12-13 Aug 1996; Other Information: PBD: Feb 1997; Related Information: Is Part Of Proceedings of the workshop on high resolution computed microtomography (CMT); PB: 437 p.
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
66 PHYSICS
NEURAL NETWORKS
USES
TECHNOLOGY ASSESSMENT
PETROLEUM INDUSTRY
COMPUTERIZED TOMOGRAPHY
RESERVOIR ROCK
WATERFLOODING
POROSITY
PETROLEUM
PRODUCTION
SANDSTONES