Modeling Techniques

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Exploration Technique: Modeling Techniques

Exploration Technique Information
Exploration Group: Data and Modeling Techniques
Exploration Sub Group: Modeling Techniques
Parent Exploration Technique: Data and Modeling Techniques
Information Provided by Technique
Lithology: Rock types, rock chemistry, stratigraphic layer organization
Stratigraphic/Structural: Stress fields and magnitudes, location and shape of permeable and non-permeable structures, faults, fracture patterns
Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids, hydrothermal fluid flow characteristics, up-flow patterns
Thermal: Thermal conduction and convection patterns in the subsurface, temperature and pressure extrapolation throughout reservoir, heat source characteristics
Modeling Techniques:
Techniques that involve collecting data from one or more sources and developing a comprehensive representation of the data in a model
Other definitions:Wikipedia Reegle

Modeling techniques are an important process for displaying data in a comprehensive form that can be interpreted in a useful manner. There are several different modeling techniques commonly used in geothermal exploration they are: numerical modeling, analytical modeling, conceptual modeling, and developing computer simulations.
Use in Geothermal Exploration
For geothermal exploration and development modeling techniques are used for many purposes, examples include:[1][2][3]

• basis for developing and guiding decisions for an exploration plan

• resource assessment and predictions for the generating capacity of a reservoir

• aid in interpreting the results of the collected data

• aid in selecting locations and targets for drilling and help to determine the optimal well spacing

• show how geothermal fluids will interact with the permeable formations in the geothermal reservoir

• show hydrothermal fluid flow patterns in the subsurface

• help create a unified picture of the nature of a geothermal system

• show how certain physical processes may or may not affect other processes in complex geothermal systems

• predict the behavior of the system based on various inputs into the model

• useful for optimizing well field and power plant design

• predict scaling rates in pipelines

• map the distribution and magnitudes of stress in the subsurface

• predict heat transfer in the reservoir

• predict power production based on different plant designs

• help in optimizing power production while utilizing a reservoir in a sustainable manner

  1. Karsten Pruess. 1990. Modeling of Geothermal Reservoirs: Fundamental Processes, Computer Simulation and Field Applications. Geothermics. 19(1):3-15.
  2. Gudni Axelsson. 2013. Conceptual Models of Geothermal Systems – Introduction. In: Short Course V on Conceptual Modelling of Geothermal Systems. United Nations University Geothermal Training Programme; 2013/02/24; Santa Tecla, El Salvador. Reykjavik, Iceland: United Nations University; p. N/A
  3. William Cumming. 2009. Geothermal resource conceptual models using surface exploration data. In: Thirty-Fourth Workshop on Geothermal Reservoir Engineering; 2009/02/09; Stanford University. Stanford University: Stanford University; p. 6

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