Abstract: Set-Theoretic Information Retrieval from Mega-Byte Data Bases

D. Z. Briggs, L. I. Briggs, A. B. Coconower, J. D. Lusk

At the Subsurface Laboratory, University of Michigan, the Set-Theoretic Data Structure (STDS/IV) Information System has proved useful for processing subsurface geology data files of mega-byte dimensions: The Michigan Basin Well History Control System (WHCS), The Subsurface Laboratory Inventory Files, and The Stratigraphic Data Files.

STDS/IV is particularly effective for information processing using set-oriented formats and procedures, integrating and comparing of data derived from two or more differently structured files, and derivation of information and construction of data sets for analytic procedures such as mapping, geostatistics, and management decision functions.

Information processing includes transformation of data into operational sets, sorting, keying, retrieving, and updating set components, extracting information using set functions, enumeration of specified quantities, and report generating. Thus the STDS/IV system provides a basic set of operations derived from mathematical-set theory, and routines that support editing, updating, retrieval of data, and generation of reports.

AAPG Search and Discovery Article #90972©1976 AAPG-SEPM Annual Convention and Exhibition, New Orleans, LA