Page 56 - DCAP208_Management Support Systems

Unit 4: Dialogue Management, Data Management and Model .......

Notes
loading and quality control procedures were defined and seismic trace and navigation
data was loaded to the Seabed system.
To successfully manage the physical data items, the team created inventories for documents
and tapes. The physical inventory data were then loaded to the eSearch system for powerful,
searchable storage. A gap analysis was undertaken, per asset, for any missing tapes and
associated reports. The team then recommended suitable workflows to manage new seismic
data going forward.
Productivity and Data Confidence
KOC now benefits from a dedicated and comprehensive seismic database. This promotes
confidence in data quality, when previously there was little. Over 45,000 field tapes have
been barcoded, stored, and loaded to the eSearch database. Seismic reports were also
processed in this way and stored in an exploration library. Users now benefit from an
easily interrogated repository, and can request any tape or report through the system.

The Schlumberger team ran a survey to define efficiency and productivity improvements
realized through the deployment. Users reported significant time savings in obtaining
seismic data; tasks which previously took days now take minutes using the master database.
Question
Discuss the concept of developing and implementing a master database for seismic data.

Source: http://www.slb.com/resources/case_studies/software/cs_prosource_koc.aspx

4.4 Summary

The term “process” in the context of user interface process refers to the flow of information
(a) from the user to the system and (b) from the system to the user.
User interface is the vehicle for both model construction (or model choice) and for
investigating the results.

Many DSSs have an inflexible structure in the sense that the variables that will be
manipulated are determined at the model-building stage.

As models may become very large, it is convenient to structure them into sub-models,
groups of variables that form a subsystem of the modeled system.
The data management subsystem is composed of DSS database, DBMS, Data directory,
Query facility.
One of the prime tasks of model management is to perform mod integration which consists
of combining existing DSS models and components.
Model base is a collection of pre-programmed quantitative models (e.g., statistical, financial,
optimization) organized as a single unit.

Model building blocks are Pre-programmed software elements that can be used to build
computerized models.

4.5 Keywords

Data Extraction: It is the process of capturing data from several sources, synthesizing them,
summarizing them, determining which of them are relevant, and organizing them, resulting in
their effective integration.

LOVELY PROFESSIONAL UNIVERSITY 49