Title | Optimal dynamic allocation of mobile plants to monetize associated or stranded natural gas, part I: Bakken shale play case study |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Tan SH, Barton PI |
Journal | Energy |
Volume | 93 |
Issue | 2 |
Pagination | 1581-1594 |
Date Published | 12/2015 |
Abstract | Associated or stranded natural gas presents a challenge to monetize due to its low volume and lack of supporting infrastructure. Recent proposals for deploying mobile, modular plants, such as those which perform GTL (gas-to-liquids) conversion or produce LNG (liquefied natural gas) on a small scale, have been identified as possible attractive routes to gas monetization. However, such technologies are yet unproven in the marketplace. To assess their potential, we propose a multi-period optimization framework which determines the optimal dynamic allocation and operating decisions for a decision maker who utilizes mobile plants to monetize associated or stranded gas. We then apply this framework to a case study of the Bakken shale play. Our framework is implemented to determine the optimal NPV (net present value) which would be realized over a twenty-year time frame. Sensitivity studies on the technology costs and conversion inputs conclude that the profitability and viability of mobile technologies remain valid for a wide range of possible inputs. |
URL | http://authors.elsevier.com/a/1S3lR1H~czt9hZ |
DOI | 10.1016/j.energy.2015.10.043 |
Optimal dynamic allocation of mobile plants to monetize associated or stranded natural gas, part I: Bakken shale play case study
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