PetroSPIRE: a multimodal content-based retrieval system for petroleum applications

Lawrence D. Bergman; Vittorio Castelli; Chung-Sheng Li; Peter Tilke; Ian Bryant

doi:10.1117/12.360449

24 August 1999 PetroSPIRE: a multimodal content-based retrieval system for petroleum applications

Lawrence D. Bergman, Vittorio Castelli, Chung-Sheng Li, Peter Tilke, Ian Bryant

Proceedings Volume 3846, Multimedia Storage and Archiving Systems IV; (1999) https://doi.org/10.1117/12.360449
Event: Photonics East '99, 1999, Boston, MA, United States

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.

Citation Download Citation

Lawrence D. Bergman, Vittorio Castelli, Chung-Sheng Li, Peter Tilke, and Ian Bryant "PetroSPIRE: a multimodal content-based retrieval system for petroleum applications", Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); https://doi.org/10.1117/12.360449

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available