Search Books

Long-term infrastructure forecasting in the Gulf of Mexico: a decision- and resource-based approach [An article from: Energy Policy]

Author M.J. Kaiser, D.V. Mesyanzhinov, A.G. Pulsipher
Publisher Elsevier
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
8.95 USD
🛒 Buy New on Amazon 🇺🇸

✓ Available for download now

Share:
Book Details
PublisherElsevier
ISBN / ASINB000RR0NIA
ISBN-13978B000RR0NI2
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸

Description

This digital document is a journal article from Energy Policy, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
A long-term infrastructure forecast in the Gulf of Mexico is developed in a disaggregated decision- and resource-based environment. Models for the installation and removal rates of structures are performed across five water depth categories for the Western and Central Gulf of Mexico planning areas for structures grouped according to a major and nonmajor classification. Master hydrocarbon production schedules are constructed per water depth and planning area using a two-parameter decision model, where ''bundled'' resources are recoverable at a given time and at a specific rate. The infrastructure requirements to support the expected production is determined by extrapolating historical data. The analytic forecasting framework allows for subjective judgement, technological change, analogy, and historical trends to be employed in a user-defined manner. Special attention to the aggregation procedures employed and the general methodological framework are highlighted, including a candid discussion of the limitations of analysis and suggestions for further research.