Characterization of fractured geothermal reservoirs based on production data
- Reservoir characterization is one of the most important and challenging parts of running a successful geothermal operation. Characterization requires thorough understanding of the physics that govern the flow of mass and energy through the reservoir. As for most subsurface modeling endeavors, the inability to measure the actual value of properties in the geothermal system make it necessary to strike a balance between what is included in the reservoir model and what is known about the physical processes that might take place in the subsurface. This balance should reflect the decisions that need to be made based on the model, and the data available for model calibration. In this work, a number of methods were developed for characterizing well-to-well connections in fractured geothermal reservoirs. These methods were based on production data that are commonly recorded in geothermal fields, i.e. pressure, flow rate, tracer and temperature. A key aspect in the developing this work, for multiwell applications, was to find the link between the various types of models, and understand how they could be combined to estimate well-to-well properties. The estimation of these properties relied on regression analysis, where an effort was made to balance the complexity of the regression model with the information required from the given data source. The combined characterization defined a work flow that would be well-suited to characterize fractured geothermal systems, with low compressibility characteristics. An effort was made to illustrate the usefulness of the characterization method to tackle important reservoir engineering problems. This was done by formulating and solving a flow rate scheduling problem for a geothermal field. The results showed that considerable gains in efficiency could be made, given a set of well-calibrated interwell relationships.
|Type of resource
|electronic; electronic resource; remote
|1 online resource.
|Stanford University, Department of Energy Resources Engineering
|Horne, Roland N
|Horne, Roland N
|Statement of responsibility
|Submitted to the Department of Energy Resources Engineering.
|Thesis (Ph.D.)--Stanford University, 2012.
- © 2012 by Egill Juliusson
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