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A PROVENANCE MANAGEMENT FRAMEWORK
FOR RESERVOIR ENGINEERING
by
Fan Sun
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Ful llment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
December 2010
Copyright 2010 Fan Sun
Object Description
| Title | A provenance management framework for reservoir engineering |
| Author | Sun, Fan |
| Author email | francis.sun@gmail.com; fansun@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date submitted | 2010 |
| Restricted until | Unrestricted |
| Date published | 2010-09-03 |
| Advisor (committee chair) | Prasanna, Viktor K. |
| Advisor (committee member) |
Nakano, Aiichiro Raghavendra, Cauligi |
| Abstract | Provenance is metadata that pertains to the history of data products. It is useful information in tracing the audit trails of data, determining the resource usage, and estimating data quality and data reliability, in addition to many other uses. It is challenging to collect and utilize provenance information in reservoir engineering mainly due to two reasons: 1) data products in reservoir engineering are heterogeneous, both syntactically and semantically, and; 2) the lack of workflow orchestration framework makes it challenging to collect and represent provenance in an integrated manner.; In this dissertation, we present a framework that models, collects and represents provenance information in reservoir engineering. We first present a methodology that collects provenance information from legacy logs. In order to collect provenance from such low level and fine-grained data, our approach is built upon two components: semantic rich workflow model and automatic workflow instance detection. The semantic rich workflow model maps low-level log entries onto high-level information and captures semantic information such as user intentions. Given such workflow models, we design a pattern matching algorithm to automatically detect workflow instances from legacy logs. Provenance information is collected within the context of workflow instances. Experimental results based on multiple synthetic data sets demonstrate the efficiency of our approach.; We present provenance models to represent provenance information collected from multiple workflow models as an integrated provenance graph. To address information heterogeneity, we also present a semantic provenance model, which annotates the collected provenance entities using a domain ontology. The domain ontology provides a shared representation of the concepts and their relationships in the reservoir engineering domain. It improves interoperability with third-party software applications. |
| Keyword | provenance management; reservoir engineering; workflow; smart oilfield |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3420 |
| Rights | Sun, Fan |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Sun-4091 |
| Archival file | uscthesesreloadpub_Volume26/etd-Sun-4091.pdf |
Description
| Title | Page 1 |
| Full text | A PROVENANCE MANAGEMENT FRAMEWORK FOR RESERVOIR ENGINEERING by Fan Sun A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) December 2010 Copyright 2010 Fan Sun |
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