Paper Info
Title
FieldOpt: A powerful and effective programming framework tailored for field development optimization
Abstract
Petroleum field development involves critical decisions such as well location, well completion design and optimal control setting that have a significant impact on revenues and costs. These decisions are associated with a large degree of engineering effort that commonly involves time-consuming reservoir simulations to compute the performance of different field development scenarios. Increasingly within the petroleum industry, software tools and optimization methodology are developed and implemented to support and augment the various decision-making processes. The overall aim of these tools is to increase productivity and improve decision quality. Within this context, this work introduces an open-source, extensible, tailor-made programming framework: FieldOpt. FieldOpt’s primary purpose is rapid prototyping and testing of optimization procedures to solve critical field development problems. The framework is implemented in C++ and provides an efficient integration of mathematical optimization procedures with reservoir simulation.
Year
DOI
Venue
2020
10.1016/j.cageo.2019.104379
Computers & Geosciences
Keywords
Field
DocType
Programming framework,Field development optimization,C++
Data structure,Data mining,Derivative-free optimization,Optimal control,Use case,Industrial engineering,Computer science,Software,Decision quality,Software framework,Data flow diagram
Journal
Volume
ISSN
Citations 
135
0098-3004
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Einar J.M. Baumann100.34
Stein I. Dale200.34
Mathias C. Bellout300.34