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Proceedings Paper

PetroSPIRE: a multimodal content-based retrieval system for petroleum applications
Author(s): Lawrence D. Bergman; Vittorio Castelli; Chung-Sheng Li; Peter Tilke; Ian Bryant
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Paper Abstract

In this paper we present a novel content-based search application for petroleum exploration and production. The target application is specification of and search for geologically significant features to be extracted from 2D imagery acquired from oil well bores, in conjunction with 1D parameter traces. The PetroSPIRE system permits a user to define rock strata using image examples in conjunction with parameter constraints. Similarity retrieval is based multimodal search, an relies on texture-matching techniques using pre-extracted texture features, employing high- dimensional indexing and nearest neighbor search. Special- purpose visualization techniques allow a user to evalute object definitions, which can then be iteratively refined by supplying multiple positive and negative image examples as well as multiple parameter constraints. Higher-level semantic constructs can be created from simpler entities by specifying sets of inter-object constraints. A delta-lobe riverbed, for examples, might be specified as layer of siltstone which is above and within 10 feet of a layer of sandstone, with an intervening layer of shale. These 'compound objects', along with simple objects, from a library of searchable entities that can be used in an operational setting. Both object definition and search are accomplished using a web-based Java client, supporting image and parameter browsing, drag-and-drop query specification, and thumbnail viewing of query results. Initial results from this search engine have been deemed encouraging by oil- industry E and P researchers. A more ambitious pilot is underway to evaluate the efficacy of this approach on a large database from a North Sea drilling site.

Paper Details

Date Published: 24 August 1999
PDF: 12 pages
Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360449
Show Author Affiliations
Lawrence D. Bergman, IBM Thomas J. Watson Research Ctr. (United States)
Vittorio Castelli, IBM Thomas J. Watson Research Ctr. (United States)
Chung-Sheng Li, IBM Thomas J. Watson Research Ctr. (United States)
Peter Tilke, Schlumberger Doll Research (United States)
Ian Bryant, Schlumberger Doll Research (United States)


Published in SPIE Proceedings Vol. 3846:
Multimedia Storage and Archiving Systems IV
Sethuraman Panchanathan; Shih-Fu Chang; C.-C. Jay Kuo, Editor(s)

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