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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

  • Author: Clotworthy, Allan W.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: Electricitiy Corporation of New Zealand, Taupo, NZ
    Place 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

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: 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
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