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DESIGN SPACE EXPLORATION FOR
ASSET DEVELOPMENT IN SMART OILFIELDS
by
Cong Zhang
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
December 2008
Copyright 2008 Cong Zhang
Object Description
| Title | Design space exploration for asset development in smart oilfields |
| Author | Zhang, Cong |
| Author email | czhanga@gmail.com; congzhan@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-05-27 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-09-09 |
| Advisor (committee chair) | Prasanna, Viktor |
| Advisor (committee member) |
Raghavendra, Cauligi S. Ershaghi, Iraj |
| Abstract | Smart oilfields have emerged with recent technological advances incorporating current technical innovations into the decision making process for field asset development. Among the research efforts in smart oilfields, design space exploration (DSE) is one of the most important topics. DSE is extensively used to search for optimal field development strategies. However, efficient realization of DSE poses various challenges, including management of simulation models, application integration, and development of DSE framework.; In this work, we study the design of an integrated environment for DSE in oilfield asset development, focusing on data management and application integration. We propose a data component based methodology, which not only manages the reservoir simulation models used by DSE efficiently, but also greatly improves the storage efficiency. We first identify the underlying structure of the simulation models and decompose them into three types of components: reservoir realization, design and simulator configuration. Our methodology then identifies the duplicate components and guarantees that each component has one physical copy in the data repositories. By separating the logical connections between the models and the components from the physical data files, our methodology provides a clean and efficient way to manage therelationships among the models.; For application integration in DSE, we propose a plug-in based workflow approach. Our approach separates the logic of the DSE worklow from the underlying execution to achieve flexibility and extensibility. We first abstract the DSE process as a series of activities. We feed this high-level abstraction into a workflow execution platform, which executes the activities according to a preset order. In our approach, the activities of the DSE workflow are implemented as plug-ins that can be loaded and unloaded at runtime to achieve the configuration and extension. With the plug-ins and the execution platform, our approach supports the automatic execution, dynamic configuration and extensibility of the DSE workflow. We also design and implement a framework for the DSE workflow. The framework can be configured for, and extended to various design problems. To demonstrate the usefulness of the framework, we apply the framework to a well drilling scheduling design problem. The services in the framework facilitate the configuration required for the design problem. The features provided by the framework also facilitate the performance evaluation of the well drilling schedules by the end users. |
| Keyword | design space exploration; smart oilfields; data management; simulation model |
| 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-m1593 |
| Rights | Zhang, Cong |
| 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-Zhang-2400 |
| Archival file | uscthesesreloadpub_Volume44/etd-Zhang-2400.pdf |
Description
| Title | Page 1 |
| Full text | DESIGN SPACE EXPLORATION FOR ASSET DEVELOPMENT IN SMART OILFIELDS by Cong Zhang A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) December 2008 Copyright 2008 Cong Zhang |
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