Multi-reservoir production optimization Huseby, Arne Bang; Haavardsson, Nils F.

User activity

Share to:
View the summary of this work
Huseby, Arne Bang ; Haavardsson, Nils F.
Appears In
European Journal of Operational Research
Algorithms -- Analysis; Business, general; Natural gas fields -- Analysis
Academic; Trade
To link to full-text access for this article, visit this link: Byline: Arne Bang Huseby, Nils F. Haavardsson Keywords: OR in natural resources; Convex Programming; Linear Programming; Global optimization; Risk analysis Abstract: When a large oil or gas field is produced, several reservoirs often share the same processing facility. This facility is typically capable of processing only a limited amount of commodities per unit of time. In order to satisfy these processing limitations, the production needs to be choked, i.e., scaled down by a suitable choke factor. A production strategy is defined as a vector valued function defined for all points of time representing the choke factors applied to reservoirs at any given time. In the present paper we consider the problem of optimizing such production strategies with respect to various types of objective functions. A general framework for handling this problem is developed. A crucial assumption in our approach is that the potential production rate from a reservoir can be expressed as a function of the remaining recoverable volume. The solution to the optimization problem depends on certain key properties, e.g., convexity or concavity, of the objective function and of the potential production rate functions. Using these properties several important special cases can be solved. An admissible production strategy is a strategy where the total processing capacity is fully utilized throughout a plateau phase. This phase lasts until the total potential production rate falls below the processing capacity, and after this all the reservoirs are produced without any choking. Under mild restrictions on the objective function the performance of an admissible strategy is uniquely characterized by the state of the reservoirs at the end of the plateau phase. Thus, finding an optimal admissible production strategy, is essentially equivalent to finding the optimal state at the end of the plateau phase. Given the optimal state a backtracking algorithm can then used to derive an optimal production strategy. We will illustrate this on a specific example. Author Affiliation: Department of Mathematics, University of Oslo, Postbox 1053, Blinderen, NO-0316 Oslo, Norway Article History: Received 24 April 2008; Accepted 18 November 2008
Work ID

2 editions of this work

Find a specific edition
Thumbnail [View as table] [View as grid] Title, Author, Edition Date Language Format Libraries

User activity

e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this work

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this work

Add a comment

Show comments and reviews from Amazon users