Optimizing Reinjection Strategy in Palinpinon, Philippines Based on Chloride Data
Abstract/Contents
- Abstract
- One of the guidelines established for the safe and efficient management of the Palinpinon Geothermal Field is to adopt a production and reinjection strategy such that the rapid rate and magnitude of reinjection fluid returns leading to premature thermal breakthrough would be minimized, if not avoided. To help achieve this goal, sodium fluorescein and radioactive tracer tests have been conducted to determine the rate and extent of communication between the reinjection and producing sectors of the field. The first objective of this work was to examine how the results of these tests, together with information on field geometry and operating conditions could be used in algorithms developed in Operations Research and modified by James Lovekin to allocate production rates among the Palinpinon wells.Due to operational and economic constraints, however, such tracer tests were very limited in scope and number. This prevents obtaining explicit information on the interaction between each injection and producing well. Hence, there was a need to look for another parameter which can be used for this purpose. The second objective of this work was, therefore, to investigate how the reservoir chloride value of the producing well and the injection rate of the injection well could be used to provide a ranking of the injection/production pair of wells and, thereby, aid in optimizing there injection strategy of the field.
Description
Type of resource | text |
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Date created | March 1991 |
Creators/Contributors
Author | Macario, Ma. Elena G. |
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Primary advisor | Horne, Roland N. |
Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
Subject | School of Earth Energy & Environmental Sciences |
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Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
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Preferred citation
- Preferred Citation
- Macario, Ma. Elena G. (1991). Optimizing Reinjection Strategy in Palinpinon, Philippines Based on Chloride Data. Stanford Digital Repository. Available at: https://purl.stanford.edu/kr860qf1438
Collection
Master's Theses, Doerr School of Sustainability
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