Geothermal resource estimation is a critical process in geothermal systems engineering. It involves assessing different resource types, using geological and geophysical methods, and characterizing reservoirs to understand their potential.
Engineers employ various techniques to estimate resources, including , , and . These approaches help quantify energy content, assess uncertainties, and evaluate economic feasibility, guiding sustainable geothermal development decisions.
Geothermal resource types
Geothermal resource types form the foundation of geothermal systems engineering
Understanding different resource types guides exploration, development, and utilization strategies
Resource types vary in temperature, depth, and fluid content, impacting energy extraction methods
Hydrothermal systems
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Naturally occurring reservoirs of hot water or steam trapped in permeable rock formations
Require three key components heat source, reservoir rock, and fluid
Classified based on temperature high-temperature (>200°C), medium-temperature (100-200°C), and low-temperature (<100°C)
Exploited through production wells to extract hot fluids for power generation or direct use applications
Hot dry rock
Geothermal resources found in low-, high-temperature rock formations
Measured through in exploration wells and heat flow studies
Fluid chemistry analysis
Determines the composition and properties of geothermal fluids
Analyzes major and trace elements, dissolved gases, and isotopes
Provides information on reservoir temperature, fluid origin, and potential scaling or corrosion issues
Guides power plant design, materials selection, and reservoir management strategies
Volumetric estimation techniques
Volumetric estimation techniques assess the energy content of geothermal reservoirs
These methods are crucial for resource quantification and project feasibility studies
Combining multiple techniques improves accuracy and accounts for uncertainties
Heat-in-place method
Calculates the total thermal energy stored in a geothermal reservoir
Uses the formula Q=ρcV(Tr−T0), where Q is heat content, ρ is rock density, c is specific heat capacity, V is reservoir volume, T_r is reservoir temperature, and T_0 is reference temperature
Requires estimates of reservoir volume, temperature, and rock properties
Provides an upper limit of potentially recoverable energy, not accounting for extraction efficiency
USGS volume method
Developed by the United States Geological Survey for resource assessment
Estimates recoverable thermal energy based on reservoir properties and recovery factor
Incorporates probability distributions for key parameters to account for uncertainties
Calculates electrical power potential using conversion efficiency factors
Monte Carlo simulation
Probabilistic approach to resource estimation accounting for parameter uncertainties
Generates multiple scenarios by randomly sampling input parameter distributions
Produces probability distributions of resource estimates rather than single values
Allows for and risk assessment in resource evaluation
Well testing and analysis
Well testing and analysis provide critical data for geothermal reservoir characterization
These techniques assess well productivity, reservoir properties, and long-term performance
Results from well tests guide reservoir modeling and development strategies
Pressure transient tests
Measure pressure changes in wells over time to determine reservoir properties
Include buildup tests, drawdown tests, and interference tests
Analyze pressure data using specialized software to estimate permeability, skin factor, and reservoir boundaries
Provide insights into reservoir connectivity and potential production rates
Flow rate measurements
Quantify the volume of geothermal fluid produced or injected per unit time
Utilize various measurement techniques (orifice plates, venturi meters, turbine flowmeters)
Monitor flow rates during well testing and long-term production
Essential for calculating well productivity, reservoir performance, and power output
Temperature logging
Measures temperature profiles along the wellbore using specialized logging tools
Identifies productive zones, fluid entry points, and temperature anomalies
Monitors reservoir temperature changes over time to assess thermal breakthrough and recharge
Guides well completion design and reservoir management strategies
Numerical modeling approaches
Numerical modeling approaches simulate geothermal reservoir behavior and performance
These tools are essential for resource assessment, development planning, and optimization
Models integrate geological, geophysical, and engineering data to predict system behavior
Reservoir simulation software
Specialized computer programs for modeling geothermal reservoir dynamics
Incorporate governing equations for fluid flow, heat transfer, and mass transport
Popular software includes TOUGH2, FEHM, and HYDROTHERM
Simulate reservoir behavior under various production and injection scenarios
Heat transfer models
Simulate thermal energy transport within geothermal reservoirs and surrounding rock
Account for conduction, convection, and advection processes
Model temperature distributions, thermal breakthrough times, and long-term reservoir cooling
Guide well spacing, injection strategies, and reservoir management plans
Fluid flow simulations
Model fluid movement through porous and fractured media in geothermal reservoirs
Account for multi-phase flow (liquid water, steam, non-condensable gases)
Simulate pressure distributions, production rates, and injection behavior
Optimize well placement, production-injection strategies, and reservoir stimulation techniques
Resource classification systems
Resource classification systems provide standardized frameworks for geothermal resource reporting
These systems enable consistent evaluation and comparison of geothermal projects
Adopting recognized classification systems improves investor confidence and project credibility
USGS classification
Developed by the United States Geological Survey for geothermal resource assessment
Categorizes resources as identified or undiscovered
Further classifies identified resources as economic, marginally economic, or subeconomic
Incorporates probability estimates for undiscovered resources
Australian Geothermal Reporting Code
Established by the Australian Geothermal Energy Group for consistent resource reporting
Defines geothermal resources and reserves based on geological confidence and economic viability
Categorizes resources as inferred, indicated, or measured
Classifies reserves as probable or proved based on technical and economic feasibility
Canadian Geothermal Code
Developed by the Canadian Geothermal Energy Association for resource reporting
Aligns with international standards for mineral resource reporting (NI 43-101)
Defines geothermal resources and reserves based on geological knowledge and economic factors
Requires qualified persons to prepare and certify resource estimates
Uncertainty assessment
quantifies the range of possible outcomes in geothermal resource estimation
This process is crucial for understanding project risks and making informed decisions
Incorporating uncertainty analysis improves resource management and investment strategies
Probabilistic vs deterministic methods
Probabilistic methods use statistical distributions to represent input parameters
Generate a range of possible outcomes with associated probabilities
Account for uncertainties in reservoir properties and estimation techniques
Deterministic methods use single-value inputs to produce point estimates
Probabilistic approaches provide more comprehensive risk assessment than deterministic methods
Sensitivity analysis
Evaluates how changes in input parameters affect resource estimates
Identifies key factors that have the most significant impact on results
Helps prioritize data collection and research efforts to reduce uncertainties
Guides decision-making by highlighting critical variables for project success
Risk evaluation techniques
Assess potential risks associated with geothermal resource development
Include geological risks (reservoir properties), technical risks (well productivity), and economic risks (project costs)
Utilize decision trees, Monte Carlo simulations, and expert elicitation methods
Inform risk mitigation strategies and investment decisions
Resource potential estimation
Resource potential estimation assesses the energy production capabilities of geothermal resources
This process is essential for project planning, investment decisions, and policy development
Accurate potential estimation guides sustainable resource utilization strategies
Power generation capacity
Estimates the electrical power output potential of a geothermal resource
Considers reservoir temperature, flow rates, and power plant efficiency
Utilizes conversion factors to translate thermal energy to electrical energy
Accounts for capacity factors and plant availability in long-term production estimates
Thermal energy utilization
Assesses the potential for direct use applications of geothermal heat
Considers resource temperature, flow rates, and end-use requirements
Applications include district heating, greenhouse agriculture, and industrial processes
Evaluates cascading use options to maximize resource utilization efficiency
Sustainability considerations
Assesses long-term viability of geothermal resource exploitation
Considers natural recharge rates, injection strategies, and reservoir pressure maintenance
Australian Geothermal Reporting Code: The Australian Geothermal Reporting Code is a set of guidelines designed to ensure the transparent and consistent reporting of geothermal resource data in Australia. It establishes standard practices for resource estimation, including how data should be collected, analyzed, and presented, promoting clarity and reliability in the geothermal industry.
Canadian Geothermal Code: The Canadian Geothermal Code is a set of guidelines and standards established to regulate the design, installation, and operation of geothermal energy systems across Canada. This code ensures that geothermal projects are carried out safely, effectively, and with minimal environmental impact, while promoting best practices in resource estimation techniques to assess the viability of geothermal resources.
Core sampling: Core sampling is a technique used to collect cylindrical samples of subsurface materials, providing vital information about geological formations, rock properties, and fluid reservoirs. This method helps in evaluating the physical and chemical characteristics of reservoir rocks, guiding the development of geothermal systems, and assessing potential energy resources. By extracting core samples, geologists can analyze the structure, composition, and permeability of rocks, which are essential for resource estimation and planning.
Cost-benefit analysis: Cost-benefit analysis is a systematic approach to evaluating the strengths and weaknesses of alternatives in order to determine the best option by comparing the expected costs and benefits associated with each choice. This method plays a crucial role in decision-making processes, especially when assessing the viability and efficiency of different projects, investments, or policies related to resource management, financial planning, and environmental impacts.
Downhole temperature measurements: Downhole temperature measurements refer to the process of recording the temperature at various depths within a borehole or well. This data is crucial for understanding the thermal profile of geothermal resources and helps in identifying the heat flow characteristics of geological formations. These measurements are essential for both geological surveys and resource estimation, providing insights into the potential for geothermal energy production.
Enhanced Geothermal Systems: Enhanced Geothermal Systems (EGS) are engineered geothermal reservoirs created to extract heat from the Earth by enhancing or creating permeability in hot, dry rock formations. This technology allows for the utilization of geothermal energy in areas where conventional geothermal resources are not readily available, linking it to concepts like geothermal gradient, heat flow, and energy conversion principles.
Enthalpy: Enthalpy is a thermodynamic property that represents the total heat content of a system, defined as the sum of its internal energy and the product of its pressure and volume. This concept is crucial in understanding energy transfer processes, especially in geothermal systems where heat extraction and conversion are involved.
Extraction rate: Extraction rate refers to the volume or mass of geothermal resources that can be sustainably withdrawn from a geothermal reservoir over a specific period. This term is crucial for understanding how much energy can be produced without depleting the resource, ensuring long-term sustainability and efficiency in geothermal energy systems.
Field surveys: Field surveys are systematic investigations conducted in the natural environment to collect data on geological and geothermal resources. These surveys play a critical role in resource estimation techniques, helping engineers and scientists assess the viability and potential yield of geothermal sites by gathering crucial information about subsurface conditions, temperatures, and fluid characteristics.
Flow rate measurements: Flow rate measurements refer to the quantification of the volume or mass of fluid that passes through a given point in a system per unit of time. This concept is crucial for assessing the efficiency and performance of geothermal systems, as it helps in understanding resource availability and extraction capabilities.
Fluid chemistry analysis: Fluid chemistry analysis is the study of the chemical composition and properties of fluids, particularly in geothermal systems, to understand their behavior and interactions. This analysis helps determine the quality of geothermal resources and the potential for energy extraction, as well as assessing the environmental impacts of using these resources.
Fluid flow simulations: Fluid flow simulations are computational models used to predict the behavior and movement of fluids within a given environment. These simulations allow engineers and scientists to analyze how fluids interact with geological formations, heat sources, and other elements in geothermal systems, providing insights that are critical for resource estimation and management.
Fluid sampling and analysis: Fluid sampling and analysis refers to the process of collecting and examining fluid samples, typically from geothermal reservoirs, to assess their chemical and physical properties. This information is critical for evaluating the potential of geothermal resources, as it helps in understanding the composition of the fluids, including their temperature, pressure, and mineral content, which directly influence the viability and efficiency of geothermal energy extraction.
Fracture density: Fracture density refers to the number of fractures per unit volume or area in a rock formation, which significantly impacts the permeability and fluid flow within geothermal systems. Understanding fracture density is crucial for evaluating the geothermal potential of a resource, as higher densities typically enhance the ability for heat transfer and fluid movement, directly influencing resource estimation and extraction strategies.
Geochemical Analysis: Geochemical analysis is the study of the chemical composition and properties of geological materials to understand processes occurring within the Earth. This technique plays a crucial role in evaluating geothermal resources, as it provides insight into the interactions between water, minerals, and gases in geothermal systems, which can be influenced by Earth's thermal structure, tectonic activity, and other geological factors.
Geochemical sampling: Geochemical sampling refers to the process of collecting and analyzing samples from the earth's surface or subsurface to determine the chemical composition of geological materials. This technique is essential for understanding the distribution of elements, minerals, and fluids, which can provide insights into geothermal resources and their potential for energy production.
Geological mapping: Geological mapping is the process of creating detailed representations of the Earth's surface and subsurface geology, highlighting the distribution, nature, and age of rock formations and geological features. This practice is essential for understanding geological structures, identifying natural resources, and assessing geological hazards. It plays a critical role in resource exploration and management, as well as informing environmental assessments and land-use planning.
Geophysical Surveys: Geophysical surveys are scientific methods used to measure the physical properties of the Earth’s subsurface, primarily to locate and characterize geothermal resources. These surveys utilize various techniques such as seismic, magnetic, and electrical measurements to provide insights into the Earth’s thermal structure, geological features, and tectonic activities that are crucial for effective resource assessment and development.
Gravity surveys: Gravity surveys are geophysical methods used to measure variations in the gravitational field of the Earth, which can provide insights into subsurface geological structures and density variations. By analyzing these gravitational anomalies, scientists and engineers can identify potential geothermal resources and better estimate their characteristics, making this technique essential in the exploration and resource estimation processes.
Ground-penetrating radar: Ground-penetrating radar (GPR) is a geophysical method that uses radar pulses to image the subsurface. It is particularly effective in resource estimation techniques as it provides high-resolution images of the geological structure, which helps in identifying potential geothermal reservoirs, assessing their extent, and understanding their properties.
Heat transfer models: Heat transfer models are mathematical representations used to predict the movement of heat through various materials and systems. These models help in understanding how heat energy is distributed, stored, and transferred within geothermal systems, which is crucial for effective resource estimation and management.
Heat-in-place method: The heat-in-place method is a technique used to estimate the geothermal energy available in a reservoir by measuring the temperature of the rock formations and calculating the amount of heat stored within them. This method focuses on assessing the thermal energy contained in geological formations without extracting any fluid, providing an insight into the reservoir's potential for geothermal energy production.
Hot dry rock: Hot dry rock refers to a type of geothermal resource that consists of hot, solid rock formations that are typically found at considerable depths beneath the Earth’s surface. This resource can be exploited for geothermal energy by artificially enhancing permeability and allowing water to circulate through the rock to extract heat, connecting it to the natural heat from the Earth's thermal structure and the geological processes that shape our planet.
Hydrothermal Systems: Hydrothermal systems are geological formations where hot water and steam from Earth's interior circulate through porous rocks and interact with surrounding materials. These systems are crucial in understanding how geothermal energy is generated and stored, and they play a vital role in various geological processes, including heat transfer, mineral deposition, and resource extraction.
Krafla Geothermal Field: The Krafla Geothermal Field is a prominent geothermal area located in North Iceland, known for its significant geothermal energy production and volcanic activity. This field is notable for its high-temperature resources and serves as a key site for geothermal research and resource estimation techniques, providing valuable insights into the sustainability and potential of geothermal energy systems.
Levelized cost of energy: Levelized cost of energy (LCOE) is a measure used to compare the costs of producing energy from different sources over the lifetime of a project. It considers all costs associated with energy generation, including capital, operational, and maintenance expenses, and divides that by the total energy produced over the project's life. This metric is essential for evaluating the economic viability of various energy systems, including enhanced geothermal systems, resource estimation techniques, and production forecasting.
Licensing Requirements: Licensing requirements are the legal prerequisites and regulations that must be met to obtain official permission to operate in a specific industry or profession. These requirements ensure that individuals or organizations possess the necessary qualifications, expertise, and adherence to safety and environmental standards before engaging in activities like resource estimation techniques. Meeting licensing requirements is crucial for maintaining safety, protecting the environment, and ensuring that operations are conducted by qualified professionals.
Magnetotelluric surveys: Magnetotelluric surveys are geophysical methods used to investigate the electrical conductivity of the Earth's subsurface by measuring the natural variations in electromagnetic fields. This technique is particularly valuable in resource estimation, as it helps identify geothermal reservoirs and other geological features that influence the presence of geothermal resources.
Monte Carlo Simulation: Monte Carlo simulation is a statistical technique used to model the probability of different outcomes in processes that cannot easily be predicted due to the intervention of random variables. It allows for the assessment of risk and uncertainty in resource estimation, reservoir simulations, production forecasting, uncertainty analysis, and risk assessment by generating a large number of possible scenarios based on input variables.
Numerical modeling: Numerical modeling is a computational technique used to simulate real-world systems and processes by representing them mathematically. It allows for the analysis and prediction of complex behaviors in various fields, including geothermal systems, by solving equations that describe the physical processes involved. This approach is essential for assessing resource potential, understanding reservoir dynamics, and forecasting production outcomes.
Permeability: Permeability is the ability of a material, typically rock or soil, to allow fluids to pass through its pores or fractures. This property is crucial for understanding how fluids move within geothermal systems, influencing heat transfer, resource extraction, and reservoir behavior.
Porosity: Porosity is the measure of the void spaces in a material, often expressed as a percentage of the total volume. In geothermal systems, porosity is crucial because it determines how much fluid can be stored within reservoir rocks, impacting their ability to retain and transmit heat. A higher porosity typically allows for greater fluid storage, which can enhance the overall efficiency and productivity of geothermal energy extraction.
Power generation capacity: Power generation capacity refers to the maximum amount of electricity that a power plant or renewable energy source can produce under specific conditions. This concept is critical when estimating the potential output of geothermal systems and understanding their role in the energy grid, as it helps in assessing how much power can be generated from a given resource over time.
Pressure Transient Tests: Pressure transient tests are experimental methods used to evaluate the hydraulic properties of geothermal reservoirs by observing the changes in pressure over time when fluid is injected or withdrawn. These tests help in understanding the flow characteristics of the reservoir, including permeability and storage capacity, which are crucial for resource estimation. By analyzing how pressure dissipates or builds up in response to changes in fluid flow, important insights can be gained into the behavior and potential productivity of geothermal systems.
Probabilistic vs Deterministic Methods: Probabilistic methods involve uncertainty and variability in the outcomes of analyses, while deterministic methods yield consistent results given a specific set of inputs and assumptions. Understanding the difference between these two approaches is crucial for accurately estimating resources, particularly in fields like geothermal energy where factors can significantly influence results.
Project lifecycle evaluation: Project lifecycle evaluation is the systematic assessment of a project's phases from initiation to closure, focusing on performance, progress, and outcomes. This evaluation helps identify key strengths and weaknesses at each stage, ensuring that resource estimation techniques are accurately aligned with project goals and deliverables throughout the entire lifecycle.
Remote sensing: Remote sensing is the technique of collecting data about an object or area from a distance, typically using satellite or aerial imagery. This technology enables the analysis of physical properties of the Earth, allowing for valuable insights into natural resources, land use, and environmental changes. It plays a crucial role in assessing geothermal systems and helps in estimating resource potential without direct contact.
Reservoir capacity: Reservoir capacity refers to the total volume of fluid that a geothermal reservoir can store and deliver, significantly influencing the potential energy output from geothermal systems. This capacity is essential for understanding how much heat can be extracted over time and plays a crucial role in designing and optimizing geothermal energy projects. It is determined by factors such as rock properties, fluid characteristics, and pressure conditions within the reservoir.
Reservoir Simulation: Reservoir simulation is a computational modeling technique used to predict the behavior of fluid flow within a geothermal reservoir over time. This method integrates various physical properties of the reservoir, such as rock characteristics and fluid dynamics, to forecast resource extraction efficiency, assess potential production rates, and optimize management strategies. By utilizing this simulation approach, engineers can better understand reservoir performance, which is crucial for effective resource estimation and production planning.
Reservoir simulation software: Reservoir simulation software is a specialized tool used to model and predict the behavior of geothermal reservoirs under various extraction and operational scenarios. By integrating geological, thermal, and fluid flow data, this software enables engineers to optimize resource management and enhance energy extraction strategies. It plays a crucial role in estimating the potential output and sustainability of geothermal resources.
Resistivity surveys: Resistivity surveys are geophysical methods used to measure the electrical resistivity of subsurface materials, providing insights into the geological structure and composition of an area. By analyzing how easily electrical current flows through different materials, these surveys can help identify potential geothermal resources and assess their viability. This technique is critical for resource estimation, enabling engineers to make informed decisions about drilling and exploitation.
Resource potential: Resource potential refers to the estimated amount of a resource that can be extracted and utilized, given current technologies and economic conditions. This concept is vital in assessing the viability of resource extraction projects, as it encompasses not only the physical quantity of the resource but also its accessibility and economic feasibility, particularly in fields like geothermal energy where accurate data is crucial for development.
Resource valuation: Resource valuation is the process of assessing the worth of a resource, often in terms of its economic, environmental, and social benefits. This concept plays a critical role in determining the feasibility and sustainability of resource development, influencing decisions on how to manage and utilize resources effectively.
Risk Evaluation Techniques: Risk evaluation techniques are systematic approaches used to assess the potential risks associated with a project or system, often focusing on their likelihood and impact. These techniques help decision-makers identify, analyze, and prioritize risks to implement effective management strategies, especially in resource estimation and project development contexts.
Seismic surveys: Seismic surveys are geophysical methods used to investigate the subsurface of the Earth by analyzing the propagation of seismic waves. This technique is essential in identifying geological structures and resources, such as geothermal reservoirs, by measuring how seismic waves travel through different materials underground. By interpreting these wave patterns, engineers and geologists can estimate the potential for resource extraction, contributing significantly to resource estimation techniques.
Sensitivity analysis: Sensitivity analysis is a technique used to determine how different values of an input variable impact a particular output variable under a given set of assumptions. This method helps identify which variables have the most influence on outcomes, aiding in decision-making and improving understanding of the factors driving performance. By assessing the impact of changes in inputs, it allows for better risk assessment, resource management, and strategic planning.
Sustainability considerations: Sustainability considerations refer to the principles and practices that ensure resources are used responsibly and efficiently, allowing for their long-term availability and minimal environmental impact. This concept is crucial in evaluating how geothermal energy systems can be developed and operated without compromising ecological balance or depleting natural resources, ultimately promoting a more sustainable future.
Temperature Gradients: Temperature gradients refer to the rate at which temperature changes with respect to distance in a particular medium, often measured in degrees per unit length. Understanding temperature gradients is crucial for assessing geothermal resources, as they indicate how heat flows from the Earth’s interior to its surface. A steep temperature gradient can suggest a higher geothermal potential, making it an important factor in resource estimation techniques.
Temperature Logging: Temperature logging is the process of measuring and recording the temperature of a geothermal well over time. This method helps identify thermal profiles, monitor reservoir behavior, and assess the potential of geothermal resources by providing essential data about temperature changes at various depths. Understanding temperature variations is crucial for evaluating resource viability, guiding drilling efforts, and enhancing resource management.
The geysers: The geysers are natural hot springs that periodically erupt with bursts of steam and hot water, driven by geothermal energy stored in the Earth's crust. They are fascinating phenomena that illustrate the power of geothermal systems and play a crucial role in resource estimation techniques by providing insights into subsurface conditions, thermal reservoirs, and potential energy production.
Thermal energy utilization: Thermal energy utilization refers to the process of harnessing and using heat energy from various sources for practical applications, such as heating buildings, generating electricity, or industrial processes. This concept is essential for understanding how geothermal systems can efficiently convert natural heat from the Earth into usable energy, highlighting the importance of resource assessment and management in optimizing energy production.
Thermal gradient analysis: Thermal gradient analysis is the study of temperature variations within the Earth's crust, which helps identify geothermal resources. By measuring temperature changes with depth, this analysis provides critical data for understanding heat flow and locating potential geothermal energy sites. It is essential in evaluating the feasibility of harnessing geothermal energy and plays a significant role in resource estimation and geophysical exploration.
Uncertainty Assessment: Uncertainty assessment is the process of identifying, quantifying, and analyzing the uncertainties present in data, models, or estimations. It plays a crucial role in resource estimation techniques by providing insights into how much confidence can be placed on the estimates of geothermal resources, helping to improve decision-making and risk management.
USGS Classification: The USGS classification is a systematic framework developed by the United States Geological Survey to categorize geothermal resources based on their temperature, accessibility, and potential for energy extraction. This classification helps in evaluating and estimating geothermal resources, guiding decision-makers in assessing their viability for development and utilization.
USGS Volume Method: The USGS Volume Method is a widely-used technique for estimating the geothermal resource potential of an area by calculating the volume of rock that contains geothermal fluids. This method helps in quantifying resources, assessing their viability for energy production, and guiding exploration efforts, ensuring a systematic approach to understanding geothermal systems.
Volumetric Methods: Volumetric methods are resource estimation techniques used to calculate the potential energy output of geothermal resources by analyzing the volume of rock and fluids within a geothermal reservoir. This approach relies on understanding the physical properties of the reservoir, such as temperature, pressure, and the presence of water or steam, to estimate the amount of extractable geothermal energy. By determining the volume and energy content, volumetric methods help in assessing the viability of a geothermal project.
Well logging techniques: Well logging techniques refer to the systematic measurement and recording of geological and physical properties of subsurface formations through boreholes. These techniques are crucial for understanding the composition, structure, and fluid content of geothermal reservoirs, aiding in resource estimation and management.
Well Testing: Well testing is a method used to evaluate the productivity and characteristics of geothermal wells by measuring flow rates, pressures, and temperatures over time. This process helps in understanding the reservoir's capacity and behavior, which is crucial for resource estimation techniques. Accurate well testing is essential for assessing the potential energy output from geothermal resources and making informed decisions about their development.