Managing decline: Optimising generation by prediction of two-phase well productivities Metadata
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Title
- Main Title Managing decline: Optimising generation by prediction of two-phase well productivities
Creator
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Author: Clotworthy, Allan W.Creator Type: Personal
Contributor
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Sponsor: United States. Department of Energy.Contributor Type: Organization
Publisher
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Name: Electricitiy Corporation of New Zealand, Taupo, NZPlace of Publication: United States
Date
- Creation: 1994-01-20
Language
- English
Description
- Content Description: Economic optimisation of the Ohaaki Geothermal Field dual-flash system indicated the requirement to program for sliding High Pressure turbine inlet pressures and the de-rating of individual wells to Intermediate Pressure. A wellbore simulator was used to generate output curves up to 5 years into the future to enable 'what-if' modelling for maximum electrical generation under different scenarios. The key to predicting future output curves as a function of wellhead pressure was predicting two-phase well productivities as a function of field pressure and enthalpy trends. Using a wellbore simulator to generate inflow pressure curves from output test data and matching measured downhole data showed that the Duns and Ros flow correlation produced a linear response with a consistent relationship to static pressures for most wells. This was used to generate predicted output characteristic curves up to 1998, enabling the modelling of varying turbine inlet pressures.
- Physical Description: 271-275
Subject
- Keyword: Geothermal Legacy
Source
- Conference: Proceedings, nineteenth workshop on geothermal reservoir engineering, Stanford University, Stanford, CA, January 18-20, 1994
Collection
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Name: Office of Scientific & Technical Information Technical ReportsCode: OSTI
Institution
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Name: UNT Libraries Government Documents DepartmentCode: UNTGD
Resource Type
- Article
Format
- Text
Identifier
- Report No.: SGP-TR-147-38
- Office of Scientific & Technical Information Report Number: 889226
- Archival Resource Key: ark:/67531/metadc884617